Articles | Volume 25, issue 6
https://doi.org/10.5194/hess-25-3137-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3137-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Jun 2021
Research article |
| 09 Jun 2021
| 09 Jun 2021
Space variability impacts on hydrological responses of nature-based solutions and the resulting uncertainty: a case study of Guyancourt (France)
Hydrology Meteorology and Complexity Laboratory, École des Ponts ParisTech, Champs-sur-Marne 77455, France
Igor da Silva Rocha Paz
Laboratory of Applied Meteorology, Risk Reduction and Natural Disaster Prevention (LAMP), Instituto Militar de Engenharia, Rio de Janeiro 22290-270, Brazil
Feihu Chen
School of Architecture, Hunan University, Changsha 410082, China
Pierre-Antoine Versini
Hydrology Meteorology and Complexity Laboratory, École des Ponts ParisTech, Champs-sur-Marne 77455, France
Daniel Schertzer
Hydrology Meteorology and Complexity Laboratory, École des Ponts ParisTech, Champs-sur-Marne 77455, France
Ioulia Tchiguirinskaia
Hydrology Meteorology and Complexity Laboratory, École des Ponts ParisTech, Champs-sur-Marne 77455, France
Related authors
Yangzi Qiu, Abdellah Ichiba, Igor Da Silva Rocha Paz, Feihu Chen, Pierre-Antoine Versini, Daniel Schertzer, and Ioulia Tchiguirinskaia
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-347, https://doi.org/10.5194/hess-2019-347, 2019
Manuscript not accepted for further review
Jerry Jose, Auguste Gires, Yelva Roustan, Ernani Schnorenberger, Ioulia Tchiguirinskaia, and Daniel Schertzer
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2024-5, https://doi.org/10.5194/npg-2024-5, 2024
Preprint under review for NPG
Short summary
Short summary
Wind energy exhibits extreme variability in space and time. However, they also show scaling properties (properties that remain similar across different time and space of measurement), this can be quantified using appropriate statistical tools. In this line, the scaling properties of power from a wind farm are analyzed here. Since every turbine is manufactured by design for a rated power, this acts as an upper limit in the data. This bias is identified here using data and numerical simulations.
Jerry Jose, Auguste Gires, Ernani Schnorenberger, Yelva Roustan, Daniel Schertzer, and Ioulia Tchiguirinskaia
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2024-6, https://doi.org/10.5194/npg-2024-6, 2024
Preprint under review for NPG
Short summary
Short summary
To understand the influence of rainfall on wind power production, turbine power and rainfall were simultaneously measured in an operational wind farm and subjected to analysis. The correlation between wind, wind power, air density and other fields was obtained across various temporal scales during rain and dry conditions. An increase in correlation was observed with an increase in rain; rain also influenced the correspondence between actual and expected values of power at various velocities.
Hai Zhou, Daniel Schertzer, and Ioulia Tchiguirinskaia
EGUsphere, https://doi.org/10.5194/egusphere-2023-2710, https://doi.org/10.5194/egusphere-2023-2710, 2024
Short summary
Short summary
The hybrid VMD-RNN model provides a reliable one-step-ahead prediction, with better performance in predicting high and low values than the pure LSTM model. The universal multifractals technique is also introduced to evaluate prediction performance, thus validating the usefulness and applicability of the hybrid model.
Pierre-Antoine Versini, Leydy Alejandra Castellanos-Diaz, David Ramier, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-324, https://doi.org/10.5194/essd-2023-324, 2023
Revised manuscript accepted for ESSD
Short summary
Short summary
Nature-Based Solutions, as green roofs, have appeared as relevant solutions to mitigate urban heat islands. The evapotranspiration process conducts the ability of NBS to cool the air. To improve our knowledge about evapotranspiration assessment, this paper presents some experimental measurement campaigns carried out during 3 consecutive summers. It makes the data available for 3 different spatial scales (large, small and punctual).
Arun Ramanathan, Pierre-Antoine Versini, Daniel Schertzer, Remi Perrin, Lionel Sindt, and Ioulia Tchiguirinskaia
Hydrol. Earth Syst. Sci., 26, 6477–6491, https://doi.org/10.5194/hess-26-6477-2022, https://doi.org/10.5194/hess-26-6477-2022, 2022
Short summary
Short summary
Reference rainfall scenarios are indispensable for hydrological applications such as designing storm-water management infrastructure, including green roofs. Therefore, a new method is suggested for simulating rainfall scenarios of specified intensity, duration, and frequency, with realistic intermittency. Furthermore, novel comparison metrics are proposed to quantify the effectiveness of the presented simulation procedure.
Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer
Atmos. Meas. Tech., 15, 5861–5875, https://doi.org/10.5194/amt-15-5861-2022, https://doi.org/10.5194/amt-15-5861-2022, 2022
Short summary
Short summary
Weather radars measure rainfall in altitude whereas hydro-meteorologists are mainly interested in rainfall at ground level. During their fall, drops are advected by the wind which affects the location of the measured field. Governing equation linking acceleration, gravity, buoyancy, and drag force is updated to account for oblateness of drops. Then multifractal wind is used as input to explore velocities and trajectories of drops. Finally consequence on radar rainfall estimation is discussed.
Auguste Gires, Jerry Jose, Ioulia Tchiguirinskaia, and Daniel Schertzer
Earth Syst. Sci. Data, 14, 3807–3819, https://doi.org/10.5194/essd-14-3807-2022, https://doi.org/10.5194/essd-14-3807-2022, 2022
Short summary
Short summary
The Hydrology Meteorology and Complexity laboratory of École des Ponts ParisTech (https://hmco.enpc.fr) has made a data set of high-resolution atmospheric measurements (rainfall, wind, temperature, pressure, and humidity) available. It comes from a campaign carried out on a meteorological mast located on a wind farm in the framework of the Rainfall Wind Turbine or Turbulence project (RW-Turb; supported by the French National Research Agency – ANR-19-CE05-0022).
Pierre-Antoine Versini, Filip Stanic, Auguste Gires, Daniel Schertzer, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 12, 1025–1035, https://doi.org/10.5194/essd-12-1025-2020, https://doi.org/10.5194/essd-12-1025-2020, 2020
Short summary
Short summary
The Blue Green Wave of Champs-sur-Marne (1 ha, France) has been converted into a full-scale monitoring site devoted to studying the uses of green infrastructure in storm-water management. For this purpose, the components of the water balance have been monitored: rainfall, water content in the substrate, and discharge. These measurements are useful to better understand the processes (infiltration and retention) in hydrological performance and spatial variability.
Auguste Gires, Philippe Bruley, Anne Ruas, Daniel Schertzer, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 12, 835–845, https://doi.org/10.5194/essd-12-835-2020, https://doi.org/10.5194/essd-12-835-2020, 2020
Short summary
Short summary
The Hydrology, Meteorology and Complexity Laboratory of École des Ponts ParisTech (hmco.enpc.fr) and the Sense-City consortium (http://sense-city.ifsttar.fr/) make available a dataset of optical disdrometer measurements stemming from a campaign that took place in September 2017 under the rainfall simulator of the Sense-City climatic chamber, which is located near Paris.
Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer
Nonlin. Processes Geophys., 27, 133–145, https://doi.org/10.5194/npg-27-133-2020, https://doi.org/10.5194/npg-27-133-2020, 2020
Short summary
Short summary
This paper aims to analyse and simulate correlations between two fields in a scale-invariant framework. It starts by theoretically assessing and numerically confirming the behaviour of renormalized multiplicative power law combinations of two fields with known scale-invariant properties. Then a new indicator of correlation is suggested and tested on rainfall data to study the correlation between the common rain rate and drop size distribution features.
Rosa Vicari, Ioulia Tchiguirinskaia, Bruno Tisserand, and Daniel Schertzer
Nat. Hazards Earth Syst. Sci., 19, 1485–1498, https://doi.org/10.5194/nhess-19-1485-2019, https://doi.org/10.5194/nhess-19-1485-2019, 2019
Short summary
Short summary
Today, when extreme weather affects an urban area, huge numbers of digital data are spontaneously produced by the population on the Web. These
digital trailscan provide insight into the relation between climate-related risks and the social perception of these risks. The experiments presented in this paper show that big data exploration techniques can amplify debated issues and actors and explore how social media users behave.
Yangzi Qiu, Abdellah Ichiba, Igor Da Silva Rocha Paz, Feihu Chen, Pierre-Antoine Versini, Daniel Schertzer, and Ioulia Tchiguirinskaia
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-347, https://doi.org/10.5194/hess-2019-347, 2019
Manuscript not accepted for further review
Rosa Vicari, Ioulia Tchiguirinskaia, and Daniel Schertzer
Geosci. Commun., 2, 25–38, https://doi.org/10.5194/gc-2-25-2019, https://doi.org/10.5194/gc-2-25-2019, 2019
Short summary
Short summary
The resilience of our cities to climate risks relies on the capacity of urban communities to communicate. This paper presents a study aimed at understanding how to assess the impact of public outreach campaigns on urban resilience. The paper reviews resilience assessment methods, highlights those frameworks that consider communication impacts, and presents a range of experiments aimed at testing novel
resilience communication indicators.
Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer
Earth Syst. Sci. Data, 10, 941–950, https://doi.org/10.5194/essd-10-941-2018, https://doi.org/10.5194/essd-10-941-2018, 2018
Short summary
Short summary
The Hydrology, Meteorology, and Complexity laboratory of École des Ponts ParisTech (hmco.enpc.fr) has made a data set of optical disdrometer measurements available that come from a campaign involving three collocated devices from two different manufacturers, relying on different underlying technologies (one Campbell Scientific PWS100 and two OTT Parsivel2 instruments). The campaign took place in January–February 2016 in the Paris area (France).
Abdellah Ichiba, Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer, Philippe Bompard, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 22, 331–350, https://doi.org/10.5194/hess-22-331-2018, https://doi.org/10.5194/hess-22-331-2018, 2018
Short summary
Short summary
This paper proposes a two-step investigation to illustrate the extent of scale effects in urban hydrology. First, fractal tools are used to highlight the scale dependency observed within GIS data inputted in urban hydrological models. Then an intensive multi-scale modelling work was carried out to confirm effects on model performances. The model was implemented at 17 spatial resolutions ranging from 100 to 5 m. Results allow the understanding of scale challenges in hydrology modelling.
Daniel Wolfensberger, Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer, and Alexis Berne
Atmos. Chem. Phys., 17, 14253–14273, https://doi.org/10.5194/acp-17-14253-2017, https://doi.org/10.5194/acp-17-14253-2017, 2017
Short summary
Short summary
Precipitation intensities simulated by the COSMO weather prediction model are compared to radar observations over a range of spatial and temporal scales using the universal multifractal framework. Our results highlight the strong influence of meteorological and topographical features on the multifractal characteristics of precipitation. Moreover, the influence of the subgrid parameterizations of COSMO is clearly visible by a break in the scaling properties that is absent from the radar data.
Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer, Susana Ochoa-Rodriguez, Patrick Willems, Abdellah Ichiba, Li-Pen Wang, Rui Pina, Johan Van Assel, Guendalina Bruni, Damian Murla Tuyls, and Marie-Claire ten Veldhuis
Hydrol. Earth Syst. Sci., 21, 2361–2375, https://doi.org/10.5194/hess-21-2361-2017, https://doi.org/10.5194/hess-21-2361-2017, 2017
Short summary
Short summary
Data from 10 urban or peri-urban catchments located in five EU countries are used to analyze the imperviousness distribution and sewer network geometry. Consistent scale invariant features are retrieved for both (fractal dimensions can be defined), which enables to define a level of urbanization. Imperviousness representation in operational model is also found to exhibit scale-invariant features (even multifractality). The research was carried out as part of the UE INTERREG IV RainGain project.
Auguste Gires, Catherine L. Muller, Marie-Agathe le Gueut, and Daniel Schertzer
Hydrol. Earth Syst. Sci., 20, 1751–1763, https://doi.org/10.5194/hess-20-1751-2016, https://doi.org/10.5194/hess-20-1751-2016, 2016
Short summary
Short summary
Educational activities are now a common channel to increase impact of research projects. Here, we present innovative activities for young children that aim to help them (and their teachers) grasp some of the complex underlying scientific issues in environmental fields. The activities developed are focused on rainfall: observation and modeling of rain drop size and the succession of dry and rainy days, and writing of a scientific book. All activities were implemented in classrooms.
S. Lovejoy, D. Schertzer, and D. Varon
Earth Syst. Dynam., 4, 439–454, https://doi.org/10.5194/esd-4-439-2013, https://doi.org/10.5194/esd-4-439-2013, 2013
A. Gires, I. Tchiguirinskaia, D. Schertzer, and S. Lovejoy
Nonlin. Processes Geophys., 20, 343–356, https://doi.org/10.5194/npg-20-343-2013, https://doi.org/10.5194/npg-20-343-2013, 2013
Related subject area
Subject: Urban Hydrology | Techniques and Approaches: Modelling approaches
An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system
A deep-learning-technique-based data-driven model for accurate and rapid flood predictions in temporal and spatial dimensions
Impact of urban geology on model simulations of shallow groundwater levels and flow paths
Technical note: Modeling spatial fields of extreme precipitation – a hierarchical Bayesian approach
Intersecting near-real time fluvial and pluvial inundation estimates with sociodemographic vulnerability to quantify a household flood impact index
Forecasting green roof detention performance by temporal downscaling of precipitation time-series projections
Evaluating different machine learning methods to simulate runoff from extensive green roofs
Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods
The impact of the spatiotemporal structure of rainfall on flood frequency over a small urban watershed: an approach coupling stochastic storm transposition and hydrologic modeling
Urban surface water flood modelling – a comprehensive review of current models and future challenges
Resampling and ensemble techniques for improving ANN-based high-flow forecast accuracy
Event selection and two-stage approach for calibrating models of green urban drainage systems
Modeling the high-resolution dynamic exposure to flooding in a city region
Drainage area characterization for evaluating green infrastructure using the Storm Water Management Model
Critical scales to explain urban hydrological response: an application in Cranbrook, London
Increase in flood risk resulting from climate change in a developed urban watershed – the role of storm temporal patterns
Patterns and comparisons of human-induced changes in river flood impacts in cities
Scale effect challenges in urban hydrology highlighted with a distributed hydrological model
Comparison of the impacts of urban development and climate change on exposing European cities to pluvial flooding
Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review
Hydrodynamics of pedestrians' instability in floodwaters
Formulating and testing a method for perturbing precipitation time series to reflect anticipated climatic changes
Using rainfall thresholds and ensemble precipitation forecasts to issue and improve urban inundation alerts
Enhancing the T-shaped learning profile when teaching hydrology using data, modeling, and visualization activities
On the sensitivity of urban hydrodynamic modelling to rainfall spatial and temporal resolution
Precipitation variability within an urban monitoring network via microcanonical cascade generators
Estimation of peak discharges of historical floods
Indirect downscaling of hourly precipitation based on atmospheric circulation and temperature
Assessing the hydrologic restoration of an urbanized area via an integrated distributed hydrological model
Using the Storm Water Management Model to predict urban headwater stream hydrological response to climate and land cover change
Evaluating scale and roughness effects in urban flood modelling using terrestrial LIDAR data
Contribution of directly connected and isolated impervious areas to urban drainage network hydrographs
Thermal management of an unconsolidated shallow urban groundwater body
Online multistep-ahead inundation depth forecasts by recurrent NARX networks
A statistical analysis of insurance damage claims related to rainfall extremes
Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China
Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam
Multi-objective optimization for combined quality–quantity urban runoff control
Development of flood probability charts for urban drainage network in coastal areas through a simplified joint assessment approach
Auto-control of pumping operations in sewerage systems by rule-based fuzzy neural networks
Coupling urban event-based and catchment continuous modelling for combined sewer overflow river impact assessment
Dynamic neural networks for real-time water level predictions of sewerage systems-covering gauged and ungauged sites
Wen Zhu, Tao Tao, Hexiang Yan, Jieru Yan, Jiaying Wang, Shuping Li, and Kunlun Xin
Hydrol. Earth Syst. Sci., 27, 2035–2050, https://doi.org/10.5194/hess-27-2035-2023, https://doi.org/10.5194/hess-27-2035-2023, 2023
Short summary
Short summary
To provide a possibility for early warning and forecasting of ponding in the urban drainage system, an optimized long short-term memory (LSTM)-based model is proposed in this paper. It has a remarkable improvement compared to the models based on LSTM and convolutional neural network (CNN) structures. The performance of the corrected model is reliable if the number of monitoring sites is over one per hectare. Increasing the number of monitoring points further has little impact on the performance.
Qianqian Zhou, Shuai Teng, Zuxiang Situ, Xiaoting Liao, Junman Feng, Gongfa Chen, Jianliang Zhang, and Zonglei Lu
Hydrol. Earth Syst. Sci., 27, 1791–1808, https://doi.org/10.5194/hess-27-1791-2023, https://doi.org/10.5194/hess-27-1791-2023, 2023
Short summary
Short summary
A deep-learning-based data-driven model for flood predictions in temporal and spatial dimensions, with the integration of a long short-term memory network, Bayesian optimization, and transfer learning is proposed. The model accurately predicts water depths and flood time series/dynamics for hyetograph inputs, with substantial improvements in computational time. With transfer learning, the model was well applied to a new case study and showed robust compatibility and generalization ability.
Ane LaBianca, Mette H. Mortensen, Peter Sandersen, Torben O. Sonnenborg, Karsten H. Jensen, and Jacob Kidmose
Hydrol. Earth Syst. Sci., 27, 1645–1666, https://doi.org/10.5194/hess-27-1645-2023, https://doi.org/10.5194/hess-27-1645-2023, 2023
Short summary
Short summary
The study explores the effect of Anthropocene geology and the computational grid size on the simulation of shallow urban groundwater. Many cities are facing challenges with high groundwater levels close to the surface, yet urban planning and development seldom consider its impact on the groundwater resource. This study illustrates that the urban subsurface infrastructure significantly affects the groundwater flow paths and the residence time of shallow urban groundwater.
Bianca Rahill-Marier, Naresh Devineni, and Upmanu Lall
Hydrol. Earth Syst. Sci., 26, 5685–5695, https://doi.org/10.5194/hess-26-5685-2022, https://doi.org/10.5194/hess-26-5685-2022, 2022
Short summary
Short summary
We present a new approach to modeling extreme regional rainfall by considering the spatial structure of extreme events. The developed models allow a probabilistic exploration of how the regional drainage network may respond to extreme rainfall events and provide a foundation for how future risks may be better estimated.
Matthew Preisser, Paola Passalacqua, R. Patrick Bixler, and Julian Hofmann
Hydrol. Earth Syst. Sci., 26, 3941–3964, https://doi.org/10.5194/hess-26-3941-2022, https://doi.org/10.5194/hess-26-3941-2022, 2022
Short summary
Short summary
There is rising concern in numerous fields regarding the inequitable distribution of human risk to floods. The co-occurrence of river and surface flooding is largely excluded from leading flood hazard mapping services, therefore underestimating hazards. Using high-resolution elevation data and a region-specific social vulnerability index, we developed a method to estimate flood impacts at the household level in near-real time.
Vincent Pons, Rasmus Benestad, Edvard Sivertsen, Tone Merete Muthanna, and Jean-Luc Bertrand-Krajewski
Hydrol. Earth Syst. Sci., 26, 2855–2874, https://doi.org/10.5194/hess-26-2855-2022, https://doi.org/10.5194/hess-26-2855-2022, 2022
Short summary
Short summary
Different models were developed to increase the temporal resolution of precipitation time series to minutes. Their applicability under climate change and their suitability for producing input time series for green infrastructure (e.g. green roofs) modelling were evaluated. The robustness of the model was validated against a range of European climates in eight locations in France and Norway. The future hydrological performances of green roofs were evaluated in order to improve design practice.
Elhadi Mohsen Hassan Abdalla, Vincent Pons, Virginia Stovin, Simon De-Ville, Elizabeth Fassman-Beck, Knut Alfredsen, and Tone Merete Muthanna
Hydrol. Earth Syst. Sci., 25, 5917–5935, https://doi.org/10.5194/hess-25-5917-2021, https://doi.org/10.5194/hess-25-5917-2021, 2021
Short summary
Short summary
This study investigated the potential of using machine learning algorithms as hydrological models of green roofs across different climatic condition. The study provides comparison between conceptual and machine learning algorithms. Machine learning models were found to be accurate in simulating runoff from extensive green roofs.
Yang Yang and Ting Fong May Chui
Hydrol. Earth Syst. Sci., 25, 5839–5858, https://doi.org/10.5194/hess-25-5839-2021, https://doi.org/10.5194/hess-25-5839-2021, 2021
Short summary
Short summary
This study uses explainable machine learning methods to model and interpret the statistical correlations between rainfall and the discharge of urban catchments with sustainable urban drainage systems. The resulting models have good prediction accuracies. However, the right predictions may be made for the wrong reasons as the model cannot provide physically plausible explanations as to why a prediction is made.
Zhengzheng Zhou, James A. Smith, Mary Lynn Baeck, Daniel B. Wright, Brianne K. Smith, and Shuguang Liu
Hydrol. Earth Syst. Sci., 25, 4701–4717, https://doi.org/10.5194/hess-25-4701-2021, https://doi.org/10.5194/hess-25-4701-2021, 2021
Short summary
Short summary
The role of rainfall space–time structure in flood response is an important research issue in urban hydrology. This study contributes to this understanding in small urban watersheds. Combining stochastically based rainfall scenarios with a hydrological model, the results show the complexities of flood response for various return periods, implying the common assumptions of spatially uniform rainfall in urban flood frequency are problematic, even for relatively small basin scales.
Kaihua Guo, Mingfu Guan, and Dapeng Yu
Hydrol. Earth Syst. Sci., 25, 2843–2860, https://doi.org/10.5194/hess-25-2843-2021, https://doi.org/10.5194/hess-25-2843-2021, 2021
Short summary
Short summary
This study presents a comprehensive review of models and emerging approaches for predicting urban surface water flooding driven by intense rainfall. It explores the advantages and limitations of existing models and identifies major challenges. Issues of model complexities, scale effects, and computational efficiency are also analysed. The results will inform scientists, engineers, and decision-makers of the latest developments and guide the model selection based on desired objectives.
Everett Snieder, Karen Abogadil, and Usman T. Khan
Hydrol. Earth Syst. Sci., 25, 2543–2566, https://doi.org/10.5194/hess-25-2543-2021, https://doi.org/10.5194/hess-25-2543-2021, 2021
Short summary
Short summary
Flow distributions are highly skewed, resulting in low prediction accuracy of high flows when using artificial neural networks for flood forecasting. We investigate the use of resampling and ensemble techniques to address the problem of skewed datasets to improve high flow prediction. The methods are implemented both independently and in combined, hybrid techniques. This research presents the first analysis of the effects of combining these methods on high flow prediction accuracy.
Ico Broekhuizen, Günther Leonhardt, Jiri Marsalek, and Maria Viklander
Hydrol. Earth Syst. Sci., 24, 869–885, https://doi.org/10.5194/hess-24-869-2020, https://doi.org/10.5194/hess-24-869-2020, 2020
Short summary
Short summary
Urban drainage models are usually calibrated using a few events so that they accurately represent a real-world site. This paper compares 14 single- and two-stage strategies for selecting these events and found significant variation between them in terms of model performance and the obtained values of model parameters. Calibrating parameters for green and impermeable areas in two separate stages improved model performance in the validation period while making calibration easier and faster.
Xuehong Zhu, Qiang Dai, Dawei Han, Lu Zhuo, Shaonan Zhu, and Shuliang Zhang
Hydrol. Earth Syst. Sci., 23, 3353–3372, https://doi.org/10.5194/hess-23-3353-2019, https://doi.org/10.5194/hess-23-3353-2019, 2019
Short summary
Short summary
Urban flooding exposure is generally investigated with the assumption of stationary disasters and disaster-hit bodies during an event, and thus it cannot satisfy the increasingly elaborate modeling and management of urban floods. In this study, a comprehensive method was proposed to simulate dynamic exposure to urban flooding considering human mobility. Several scenarios, including diverse flooding types and various responses of residents to flooding, were considered.
Joong Gwang Lee, Christopher T. Nietch, and Srinivas Panguluri
Hydrol. Earth Syst. Sci., 22, 2615–2635, https://doi.org/10.5194/hess-22-2615-2018, https://doi.org/10.5194/hess-22-2615-2018, 2018
Short summary
Short summary
This paper demonstrates an approach to spatial discretization for analyzing green infrastructure (GI) using SWMM. Besides DCIA, pervious buffers should be identified for GI modeling. Runoff contributions from different spatial components and flow pathways would impact GI performance. The presented approach can reduce the number of calibration parameters and apply scale–independently to a watershed scale. Hydrograph separation can add insights for developing GI scenarios.
Elena Cristiano, Marie-Claire ten Veldhuis, Santiago Gaitan, Susana Ochoa Rodriguez, and Nick van de Giesen
Hydrol. Earth Syst. Sci., 22, 2425–2447, https://doi.org/10.5194/hess-22-2425-2018, https://doi.org/10.5194/hess-22-2425-2018, 2018
Short summary
Short summary
In this work we investigate the influence rainfall and catchment scales have on hydrological response. This problem is quite relevant in urban areas, where the response is fast due to the high degree of imperviousness. We presented a new approach to classify rainfall variability in space and time and use this classification to investigate rainfall aggregation effects on urban hydrological response. This classification allows the spatial extension of the main core of the storm to be identified.
Suresh Hettiarachchi, Conrad Wasko, and Ashish Sharma
Hydrol. Earth Syst. Sci., 22, 2041–2056, https://doi.org/10.5194/hess-22-2041-2018, https://doi.org/10.5194/hess-22-2041-2018, 2018
Short summary
Short summary
The study examines the impact of higher temperatures expected in a future climate on how rainfall varies with time during severe storm events. The results show that these impacts increase future flood risk in urban environments and that current design guidelines need to be adjusted so that effective adaptation measures can be implemented.
Stephanie Clark, Ashish Sharma, and Scott A. Sisson
Hydrol. Earth Syst. Sci., 22, 1793–1810, https://doi.org/10.5194/hess-22-1793-2018, https://doi.org/10.5194/hess-22-1793-2018, 2018
Short summary
Short summary
This study investigates global patterns relating urban river flood impacts to socioeconomic development and changing hydrologic conditions, and comparisons are provided between 98 individual cities. This paper condenses and communicates large amounts of information to accelerate the understanding of relationships between local urban conditions and global processes, and to potentially motivate knowledge transfer between decision-makers facing similar circumstances.
Abdellah Ichiba, Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer, Philippe Bompard, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 22, 331–350, https://doi.org/10.5194/hess-22-331-2018, https://doi.org/10.5194/hess-22-331-2018, 2018
Short summary
Short summary
This paper proposes a two-step investigation to illustrate the extent of scale effects in urban hydrology. First, fractal tools are used to highlight the scale dependency observed within GIS data inputted in urban hydrological models. Then an intensive multi-scale modelling work was carried out to confirm effects on model performances. The model was implemented at 17 spatial resolutions ranging from 100 to 5 m. Results allow the understanding of scale challenges in hydrology modelling.
Per Skougaard Kaspersen, Nanna Høegh Ravn, Karsten Arnbjerg-Nielsen, Henrik Madsen, and Martin Drews
Hydrol. Earth Syst. Sci., 21, 4131–4147, https://doi.org/10.5194/hess-21-4131-2017, https://doi.org/10.5194/hess-21-4131-2017, 2017
Elena Cristiano, Marie-Claire ten Veldhuis, and Nick van de Giesen
Hydrol. Earth Syst. Sci., 21, 3859–3878, https://doi.org/10.5194/hess-21-3859-2017, https://doi.org/10.5194/hess-21-3859-2017, 2017
Short summary
Short summary
In the last decades, new instruments were developed to measure rainfall and hydrological processes at high resolution. Weather radars are used, for example, to measure how rainfall varies in space and time. At the same time, new models were proposed to reproduce and predict hydrological response, in order to prevent flooding in urban areas. This paper presents a review of our current knowledge of rainfall and hydrological processes in urban areas, focusing on their variability in time and space.
Chiara Arrighi, Hocine Oumeraci, and Fabio Castelli
Hydrol. Earth Syst. Sci., 21, 515–531, https://doi.org/10.5194/hess-21-515-2017, https://doi.org/10.5194/hess-21-515-2017, 2017
Short summary
Short summary
In developed countries, the majority of fatalities during floods occurs as a consequence of inappropriate high-risk behaviour such as walking or driving in floodwaters. This work addresses pedestrians' instability in floodwaters. It analyses both the contribution of flood and human physical characteristics in the loss of stability highlighting the key role of subject height (submergence) and flow regime. The method consists of a re-analysis of experiments and numerical modelling.
Hjalte Jomo Danielsen Sørup, Stylianos Georgiadis, Ida Bülow Gregersen, and Karsten Arnbjerg-Nielsen
Hydrol. Earth Syst. Sci., 21, 345–355, https://doi.org/10.5194/hess-21-345-2017, https://doi.org/10.5194/hess-21-345-2017, 2017
Short summary
Short summary
In this study we propose a methodology changing present-day precipitation time series to reflect future changed climate. Present-day time series have a much finer resolution than what is provided by climate models and thus have a much broader application range. The proposed methodology is able to replicate most expectations of climate change precipitation. These time series can be used to run fine-scale hydrological and hydraulic models and thereby assess the influence of climate change on them.
Tsun-Hua Yang, Gong-Do Hwang, Chin-Cheng Tsai, and Jui-Yi Ho
Hydrol. Earth Syst. Sci., 20, 4731–4745, https://doi.org/10.5194/hess-20-4731-2016, https://doi.org/10.5194/hess-20-4731-2016, 2016
Short summary
Short summary
Taiwan continues to suffer from floods. This study proposes the integration of rainfall thresholds and ensemble precipitation forecasts to provide probabilistic urban inundation forecasts. Utilization of ensemble precipitation forecasts can extend forecast lead times to 72 h, preceding peak flows and allowing response agencies to take necessary preparatory measures. This study also develops a hybrid of real-time observation and rainfall forecasts to improve the first 24 h inundation forecasts.
Christopher A. Sanchez, Benjamin L. Ruddell, Roy Schiesser, and Venkatesh Merwade
Hydrol. Earth Syst. Sci., 20, 1289–1299, https://doi.org/10.5194/hess-20-1289-2016, https://doi.org/10.5194/hess-20-1289-2016, 2016
Short summary
Short summary
The use of authentic learning activities is especially important for place-based geosciences like hydrology, where professional breadth and technical depth are critical for practicing hydrologists. The current study found that integrating computerized learning content into the learning experience, using only a simple spreadsheet tool and readily available hydrological data, can effectively bring the "real world" into the classroom and provide an enriching educational experience.
G. Bruni, R. Reinoso, N. C. van de Giesen, F. H. L. R. Clemens, and J. A. E. ten Veldhuis
Hydrol. Earth Syst. Sci., 19, 691–709, https://doi.org/10.5194/hess-19-691-2015, https://doi.org/10.5194/hess-19-691-2015, 2015
P. Licznar, C. De Michele, and W. Adamowski
Hydrol. Earth Syst. Sci., 19, 485–506, https://doi.org/10.5194/hess-19-485-2015, https://doi.org/10.5194/hess-19-485-2015, 2015
J. Herget, T. Roggenkamp, and M. Krell
Hydrol. Earth Syst. Sci., 18, 4029–4037, https://doi.org/10.5194/hess-18-4029-2014, https://doi.org/10.5194/hess-18-4029-2014, 2014
F. Beck and A. Bárdossy
Hydrol. Earth Syst. Sci., 17, 4851–4863, https://doi.org/10.5194/hess-17-4851-2013, https://doi.org/10.5194/hess-17-4851-2013, 2013
D. H. Trinh and T. F. M. Chui
Hydrol. Earth Syst. Sci., 17, 4789–4801, https://doi.org/10.5194/hess-17-4789-2013, https://doi.org/10.5194/hess-17-4789-2013, 2013
J. Y. Wu, J. R. Thompson, R. K. Kolka, K. J. Franz, and T. W. Stewart
Hydrol. Earth Syst. Sci., 17, 4743–4758, https://doi.org/10.5194/hess-17-4743-2013, https://doi.org/10.5194/hess-17-4743-2013, 2013
H. Ozdemir, C. C. Sampson, G. A. M. de Almeida, and P. D. Bates
Hydrol. Earth Syst. Sci., 17, 4015–4030, https://doi.org/10.5194/hess-17-4015-2013, https://doi.org/10.5194/hess-17-4015-2013, 2013
Y. Seo, N.-J. Choi, and A. R. Schmidt
Hydrol. Earth Syst. Sci., 17, 3473–3483, https://doi.org/10.5194/hess-17-3473-2013, https://doi.org/10.5194/hess-17-3473-2013, 2013
J. Epting, F. Händel, and P. Huggenberger
Hydrol. Earth Syst. Sci., 17, 1851–1869, https://doi.org/10.5194/hess-17-1851-2013, https://doi.org/10.5194/hess-17-1851-2013, 2013
H.-Y. Shen and L.-C. Chang
Hydrol. Earth Syst. Sci., 17, 935–945, https://doi.org/10.5194/hess-17-935-2013, https://doi.org/10.5194/hess-17-935-2013, 2013
M. H. Spekkers, M. Kok, F. H. L. R. Clemens, and J. A. E. ten Veldhuis
Hydrol. Earth Syst. Sci., 17, 913–922, https://doi.org/10.5194/hess-17-913-2013, https://doi.org/10.5194/hess-17-913-2013, 2013
J. J. Lian, K. Xu, and C. Ma
Hydrol. Earth Syst. Sci., 17, 679–689, https://doi.org/10.5194/hess-17-679-2013, https://doi.org/10.5194/hess-17-679-2013, 2013
H. T. L. Huong and A. Pathirana
Hydrol. Earth Syst. Sci., 17, 379–394, https://doi.org/10.5194/hess-17-379-2013, https://doi.org/10.5194/hess-17-379-2013, 2013
S. Oraei Zare, B. Saghafian, and A. Shamsai
Hydrol. Earth Syst. Sci., 16, 4531–4542, https://doi.org/10.5194/hess-16-4531-2012, https://doi.org/10.5194/hess-16-4531-2012, 2012
R. Archetti, A. Bolognesi, A. Casadio, and M. Maglionico
Hydrol. Earth Syst. Sci., 15, 3115–3122, https://doi.org/10.5194/hess-15-3115-2011, https://doi.org/10.5194/hess-15-3115-2011, 2011
Y.-M. Chiang, L.-C. Chang, M.-J. Tsai, Y.-F. Wang, and F.-J. Chang
Hydrol. Earth Syst. Sci., 15, 185–196, https://doi.org/10.5194/hess-15-185-2011, https://doi.org/10.5194/hess-15-185-2011, 2011
I. Andrés-Doménech, J. C. Múnera, F. Francés, and J. B. Marco
Hydrol. Earth Syst. Sci., 14, 2057–2072, https://doi.org/10.5194/hess-14-2057-2010, https://doi.org/10.5194/hess-14-2057-2010, 2010
Yen-Ming Chiang, Li-Chiu Chang, Meng-Jung Tsai, Yi-Fung Wang, and Fi-John Chang
Hydrol. Earth Syst. Sci., 14, 1309–1319, https://doi.org/10.5194/hess-14-1309-2010, https://doi.org/10.5194/hess-14-1309-2010, 2010
Cited articles
Ahiablame, L. and Shakya, R.: Modeling flood reduction effects of low impact
development at a watershed scale, J. Environ. Manage., 171, 81–91,
https://doi.org/10.1016/j.jenvman.2016.01.036, 2016.
Ahiablame, L. M., Engel, B. A., and Chaubey, I.: Effectiveness of low impact
development practices in two urbanized watersheds: Retrofitting with rain
barrel/cistern and porous pavement, J. Environ. Manage., 119, 151–161,
https://doi.org/10.1016/j.jenvman.2013.01.019, 2013.
Alves de Souza, B., da Silva Rocha Paz, I., Ichiba, A., Willinger, B.,
Gires, A., Amorim, J. C. C., de Miranda Reis, M., Tisserand, B.,
Tchiguirinskaia, I., and Schertzer, D.: Multi-hydro hydrological modelling of
a complex peri-urban catchment with storage basins comparing C-band and
X-band radar rainfall data, Hydrolog. Sci. J., 63, 1619–16352018,
https://doi.org/10.1080/02626667.2018.1520390, 2018.
Burszta-Adamiak, E. and Mrowiec, M.: Modelling of Green roofs' hydrologic
performance using EPA's SWMM, Water Sci. Technol., 68, 36–42,
https://doi.org/10.2166/wst.2013.219, 2013.
Bloorchian, A. A., Ahiablame, L., Osouli, A., and Zhou, J.: Modeling BMP and
Vegetative Cover Performance for Highway Stormwater Runoff Reduction, in:
Procedia Engineering, 145, 274–280,
https://doi.org/10.1016/j.proeng.2016.04.074, 2016.
Bozovic, R., Maksimovic, C., Mijic, A., Smith, K. M., Suter, I., and van
Reeuwijk, M.: Blue Green Solutions: A Systems Approach to Sustainable,
Resilient and Cost-Efficient Urban Development, Technical report,
https://doi.org/10.13140/RG.2.2.30628.07046, 2017.
Cipolla, S. S., Maglionico, M., and Stojkov, I.: A long-term hydrological
modelling of an extensive green roof by means of SWMM, Ecol. Eng., 95,
876–887, https://doi.org/10.1016/j.ecoleng.2016.07.009, 2016.
Cohen-Shacham, E., Walters, G., Janzen, C., and Maginnis, S.: Nature-based
solutions to address global societal challenges, IUCN: Gland, Switzerland,
97, https://doi.org/10.2305/IUCN.CH.2016.13.en, 2016.
Chan, F., Griffiths, J., Ka, F., Chan, S., Gri, J. A., Higgitt, D., Xu, S.,
and Zhu, F.: “ Sponge City ” in China – A breakthrough of planning and
flood risk management in the urban context, Land Use Policy, 76, 772–778,
https://doi.org/10.1016/j.landusepol.2018.03.005, 2018.
Dussaillant, A. R., Wu, C. H., and Potter, K. W.: Richards Equation Model of
a Rain Garden, J. Hydrol. Eng., 9, 219–225,
https://doi.org/10.1061/(ASCE)1084-0699(2004)9:3(219), 2004.
El Tabach, E., Tchiguirinskaia, I., Mahmood, O., and Schertzer, D.:
Multi-Hydro: a spatially distributed numerical model to assess and manage
runoff processes in peri-urban watersheds. In Proceedings Final Conference
of the COST Action C22 Urban Flood Management, Paris, 26 (no. 27.11), 2009,
2009.
Ercolani, G., Chiaradia, E. A., Gandolfi, C., Castelli, F., and Masseroni,
D.: Evaluating performances of green roofs for stormwater runoff mitigation
in a high flood risk urban catchment, J. Hydrol., 566, 830–845,
https://doi.org/10.1016/j.jhydrol.2018.09.050, 2018.
European Commission: Towards an EU Research and Innovation policy
agenda for Nature-Based Solutions & Re-Naturing Cities, Final Report of
the Horizon 2020 Expert Group on “Nature-Based Solutions and Re-Naturing
Cities”, Luxembourg: Publications Office of the European Union,
https://doi.org/10.2777/765301, 2015.
Fry, T. J. and Maxwell, R. M.: Evaluation of distributed BMPs in an urban
watershed – High resolution modeling for stormwater management, Hydrol.
Process., 31, 2700–2712, https://doi.org/10.1002/hyp.11177, 2017.
Giangola-Murzyn, A.: Modélisation et paramétrisation hydrologique
de la ville, résilience aux inondations, PhD thesis, Ecole des Ponts
ParisTech, Université Paris-Est, France, 260 pp., 2013.
Giangola-Murzyn, A., Richard, J., Gires, A., Fitton, G., Tchiguirinskaia, I.,
and Schertzer, D.: Multi-Hydro Notice and Tutorial. Laboratoire Eau
Environnement et Systèmes Urbains, École des Ponts ParisTech.
Université Paris-Est, France, 44 pp., 2014.
Gires, A., Tchiguirinskaia, I., Schertzer, D., and Lovejoy, S.: Multifractal
analysis of a semi-distributed urban hydrological model, Urban Water J.,
10, 195–208, https://doi.org/10.1080/1573062X.2012.716447, 2013.
Gires, A., Giangola-Murzyn, A., Abbes, J. B., Tchiguirinskaia, I.,
Schertzer, D., and Lovejoy, S.: Impacts of small scale rainfall variability
in urban areas: a case study with 1D and 1D/2D hydrological models in a
multifractal framework, Urban Water J., 12, 607–617,
https://doi.org/10.1080/1573062X.2014.923917, 2015.
Gires, A., Tchiguirinskaia, I., Schertzer, D., Ochoa-Rodriguez, S., Willems, P., Ichiba, A., Wang, L.-P., Pina, R., Van Assel, J., Bruni, G., Murla Tuyls, D., and ten Veldhuis, M.-C.: Fractal analysis of urban catchments and their representation in semi-distributed models: imperviousness and sewer system, Hydrol. Earth Syst. Sci., 21, 2361–2375, https://doi.org/10.5194/hess-21-2361-2017, 2017.
Gires, A., Abbes, J.-B., da Silva Rocha Paz, I., Tchiguirinskaia, I., and
Schertzer, D.: Multifractal characterisation of a simulated surface flow: a
case study with multi-hydro in Jouy-en-Josas, France, J. Hydrol.,
558, 483–495, https://doi.org/10.1016/j.jhydrol.2018.01.062, 2018.
Gilroy, K. L. and McCuen, R. H.: Spatio-temporal effects of low impact
development practices, J. Hydrol., 367, 228–236,
https://doi.org/10.1016/j.jhydrol.2009.01.008, 2009.
Guo, X., Du, P., Zhao, D., and Li, M.: Modelling low impact development in
watersheds using the storm water management model, Urban Water J., 16,
146–155, https://doi.org/10.1080/1573062X.2019.1637440, 2019.
Hentschel, H. G. E. and Procaccia, I.: The infinite number of generalized
dimensions of fractals and strange attractors, Physica D, 8, 435–444, https://doi.org/10.1016/0167-2789(83)90235-X,
1983.
Healy, R. W.: Simulation of solute transport in variably saturated porous
media with supplemental information on modifications to the US Geological
Survey's computer program VS2D, U.S. Geol. Surv. Water-Resources Investig.
Rep. 90-4025, https://doi.org/10.3133/wri904025, 1990.
Hoang, T.: Prise en compte des fluctuations spatio-temporelles
pluies-débits pour une meilleure gestion de la ressource en eau et une
meilleure évaluation des risques, PhD Thesis, Earth Sciences,
Université Paris-Est, Champs-sur-Marne, France, 2011.
Holman-Dodds, J. K., Bradley, A. A., and Potter, K. W.: Evaluation of
hydrologic benefits of infiltration based urban storm water management, J.
Am. Water Resour. Assoc., 39, 205–215,
https://doi.org/10.1111/j.1752-1688.2003.tb01572.x, 2003.
Her, Y., Jeong, J., Arnold, J., Gosselink, L., Glick, R., and Jaber, F.: A
new framework for modeling decentralized low impact developments using Soil
and Water Assessment Tool, Environ. Model. Softw., 96, 305–322,
https://doi.org/10.1016/j.envsoft.2017.06.005, 2017.
Hu, M., Sayama, T., Zhang, X., Tanaka, K., Takara, K., and Yang, H.:
Evaluation of low impact development approach for mitigating flood
inundation at a watershed scale in China, J. Environ. Manage., 193,
430–438, https://doi.org/10.1016/j.jenvman.2017.02.020, 2017.
Hamidi, A., Farnham, D. J., and Khanbilvardi, R.: Uncertainty analysis of
urban sewer system using spatial simulation of radar rainfall fields: New
York City case study, Stoch. Environ. Res. Risk Assess., 32, 2293–2308,
https://doi.org/10.1007/s00477-018-1563-8, 2018.
Ichiba, A.: X-Band Radar Data and Predictive Management in Urban Hydrology,
PhD Thesis, Earth Sciences, Université Paris-Est, Champs-sur-Marne,
France, 2016.
Ichiba, A., Gires, A., Tchiguirinskaia, I., Schertzer, D., Bompard, P., and Ten Veldhuis, M.-C.: Scale effect challenges in urban hydrology highlighted with a distributed hydrological model, Hydrol. Earth Syst. Sci., 22, 331–350, https://doi.org/10.5194/hess-22-331-2018, 2018.
Imhoff, R. O., Van Verseveld, W. J., Van Osnabrugge, B., and Weerts, A. H.:
Scaling Point-Scale (Pedo) transfer Functions to Seamless Large-Domain
Parameter Estimates for High-Resolution Distributed Hydrologic Modeling: An
Example for the Rhine River, Water Resour. Res., 56, 1–28,
https://doi.org/10.1029/2019WR026807, 2020.
Institut National de la Statistique et des Etudes Economiques – INSEE:
Dossier complet – Commune de Guyancourt (78297), available at:
https://www.insee.fr/fr/statistiques/2011101?geo=COM-78297#chiffre-cle-5,
last access: 29 February 2020.
James, W., Rossman, L. A., and James, W. R. C.: User's guide to SWMM5 based
on original USEPA SWMM documentation, CHI, USA, 905, 2010.
Jia, H., Yao, H., Tang, Y., Yu, S. L., Field, R., and Tafuri, A. N.: LID-BMPs
planning for urban runoff control and the case study in China, J. Environ.
Manage., 149, 65–76, https://doi.org/10.1016/j.jenvman.2014.10.003, 2015.
Kelman, I.: Climate Change and the Sendai Framework for Disaster Risk
Reduction, Int. J. Disaster Risk Sc., 6, 117–127,
https://doi.org/10.1007/s13753-015-0046-5, 2015.
Kuang, X., Sansalone, J., Ying, G., and Ranieri, V.: Pore-structure models of
hydraulic conductivity for permeable pavement, J. Hydrol., 399,
148–157, https://doi.org/10.1016/j.jhydrol.2010.11.024, 2011.
Kwak, D., Kim, H., and Han, M.: Runoff Control Potential for Design Types of
Low Impact Development in Small Developing Area Using XPSWMM, Procedia
Engineering., 154, 1324–1332, https://doi.org/10.1016/j.proeng.2016.07.483,
2016.
Lappala, E. G., Healy, R. W., and Weeks, E. P.: Documentation of computer
program VS2D to solve the equations of fluid flow in variably saturated
porous media, Department of the Interior, US Geological Survey, 83-4099,
https://doi.org/10.3133/wri834099, 1987.
Lavallée, D., Lovejoy, S., Schertzer, D., and Ladoy, P.: Nonlinear
variability and landscape topography: analysis and simulation, Fractals in
Geography, 158–192, 1993.
Liu, Y., Ahiablame, L. M., Bralts, V. F., and Engel, B. A.: Enhancing a
rainfall-runoff model to assess the impacts of BMPs and LID practices on
storm runoff, J. Environ. Manage., 147, 12–23,
https://doi.org/10.1016/j.jenvman.2014.09.005, 2015.
Loukas, A., Llasat, M.-C., and Ulbrich, U.: Preface “Extreme events induced by weather and climate change: evaluation, forecasting and proactive planning”, Nat. Hazards Earth Syst. Sci., 10, 1895–1897, https://doi.org/10.5194/nhess-10-1895-2010, 2010.
Lovejoy, S. and Schertzer, D.: The weather and climate: Emergent laws and
multifractal cascades, Cambridge University Press, UK, 491, 2013.
Lovejoy, S., Schertzer, D., and Tsonis, A. A.: Functional Box-Counting and
Multiple Elliptical Dimensions in Rain, Science, 235, 1036–1038,
https://doi.org/10.1126/science.235.4792.1036, 1987.
Lucas, W. C. and Sample, D. J.: Reducing combined sewer overflows by using
outlet controls for Green Stormwater Infrastructure: Case study in
Richmond, Virginia, J. Hydrol., 520, 473–488,
https://doi.org/10.1016/j.jhydrol.2014.10.029, 2015.
Mandelbrot, B. B.: The fractal geometry of nature, W.H. Freeman and Company, New York, 468, 1983.
Massoudieh, A., Maghrebi, M., Kamrani, B., Nietch, C., Tryby, M., Aflaki, S.,
and Panguluri, S.: A flexible modeling framework for hydraulic and water
quality performance assessment of stormwater green infrastructure, Environ.
Model. Softw., 92, 57–73, https://doi.org/10.1016/j.envsoft.2017.02.013,
2017.
Météo-France: Climat des Yvelines, available at:
https://www.meteofrance.com/accueil, last access: 29 February 2020.
Miller, J. D. and Hutchins, M.: The impacts of urbanisation and climate
change on urban flooding and urban water quality: A review of the evidence
concerning the United Kingdom, J. Hydrol., 12, 345–362,
https://doi.org/10.1016/j.ejrh.2017.06.006, 2017.
Mooers, E. W., Eng, P., Jamieson, R. C., Eng, P., Hayward, J. L., Eng, P.,
Drage, J., Lake, C. B., and Eng, P.: Low-Impact Development Effects on
Aquifer Recharge Using Coupled Surface and Groundwater Models, J. Hydrol.
Eng., 23, 1–11, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001682,
2018.
Morison, P. J. and Brown, R. R.: Landscape and Urban Planning Understanding
the nature of publics and local policy commitment to Water Sensitive Urban
Design, Landscape Urban Plan., 99, 83–92,
https://doi.org/10.1016/j.landurbplan.2010.08.019, 2011.
Nash, J. E., and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10,
282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Newcomer, M. E., Gurdak, J. J., Sklar, L. S., and Nanus, L.: Urban recharge
beneath low impact development and effects of climate variability and
change, Water Resour. Res., 50, 1716–1734,
https://doi.org/10.1002/2013WR014282, 2014.
Ochoa-rodriguez, S., Wang, L., Gires, A., Daniel, R., Reinoso-rondinel, R.,
Bruni, G., Ichiba, A., Gaitan, S., Cristiano, E., Assel, J. Van, Kroll, S.,
Murlà-tuyls, D., Tisserand, B., Schertzer, D., Tchiguirinskaia, I.,
Onof, C., Willems, P., and Veldhuis, M.: Impact of spatial and temporal
resolution of rainfall inputs on urban hydrodynamic modelling outputs: A
multi-catchment investigation, J. Hydrol., 531, 389–407,
https://doi.org/10.1016/j.jhydrol.2015.05.035, 2015.
Park, D., Sandoval, N., Lin, W., Kim, H., and Cho, Y.: A case study:
Evaluation of water storage capacity in permeable block pavement, J. Civ.
Eng., 18, 514–520, https://doi.org/10.1007/s12205-014-0036-y, 2014.
Palla, A., Gnecco, I., Carbone, M., Garofalo, G., Lanza, L. G., and Piro, P.:
Influence of stratigraphy and slope on the drainage capacity of permeable
pavements: laboratory results, Urban Water J., 12, 394–403,
https://doi.org/10.1080/1573062X.2014.900091, 2015.
Paz, I., Willinger, B., Gires, A., Ichiba, A., Monier, L., Zobrist, C.,
Tisserand, B., Tchiguirinskaia, I., and Schertzer, D.: Multifractal
comparison of reflectivity and polarimetric rainfall data from C- and X-band
radars and respective hydrological responses of a complex catchment model,
Water, 10, 269, https://doi.org/10.3390/w10030269, 2018.
Paz, I., Willinger, B., Gires, A., Alves de Souza, B., Monier, L., Cardinal,
H., Tisserand, B., Tchiguirinskaia, I., and Schertzer, D.: Small-Scale
Rainfall Variability Impacts Analyzed by Fully-Distributed Model Using
C-Band and X-Band Radar Data, Water, 11, 1273,
https://doi.org/10.3390/w11061273, 2019.
Paz, I., Tchiguirinskaia, I., and Schertzer, D.: Rain gauge networks'
limitations and the implications to hydrological modelling highlighted with
a X-band radar, J. Hydrol., 583, 124615,
https://doi.org/10.1016/j.jhydrol.2020.124615, 2020.
Qin, H. P., Li, Z. X., and Fu, G.: The effects of low impact development on
urban flooding under different rainfall characteristics, J. Environ.
Manage., 129, 577–585, https://doi.org/10.1016/j.jenvman.2013.08.026, 2013.
Richard, J., Giangola-Murzyn, A., Tchiguirinskaia, I., and Schertzer, D.:
MH-ASSIMTOOL: An assimilation tool dedicated to a fully distributed model.
Poster presented at International Conference on Flood Resilience, 5–7
September 2013, United Kingdom, 2013.
Riva, M., Guadagnini, L., Guadagnini, A., Ptak, T., and Martac, E.:
Probabilistic study of well capture zones distribution at the Lauswiesen
field site, J. Contam. Hydrol., 88, 92–118,
https://doi.org/10.1016/j.jconhyd.2006.06.005, 2006.
Rossman, L. A.: Storm water management model user's manual, version 5.0,
Cincinnati: National Risk Management Research Laboratory, Office of Research
and Development, US Environmental Protection Agency, 276, 2010.
Scherzter, D. and Lovejoy, S.: On the dimension of atmospheric motions, Turbulence and Chaotic phenomena in Fluids, edited by: Tatsumi, T., Elsevier North-Holland, 505–512, 1984.
Schertzer, D. and Lovejoy, S.: Physical modeling and analysis of rain and
clouds by anisotropic scaling multiplicative processes, J.
Geophys. Res.-Atmos., 92, 9693–9714,
https://doi.org/10.1029/JD092iD08p09693 1987.
Schertzer, D. and Lovejoy, S.: Nonlinear variability in geophysics, Kluwer Academic Publishers, the Netherlands, 303,
https://doi.org/10.1007/978-94-009-2147-4, 1991.
Schertzer, D., Tchiguirinskaia, I., Lovejoy, S., and Hubert, P.: No monsters,
no miracles: in nonlinear sciences hydrology is not an outlier!, Hydrolog. Sci. J., 55, 965–979, https://doi.org/10.1080/02626667.2010.505173,
2010.
Sun, Y. W., Li, Q. Y., Liu, L., Xu, C. D., and Liu, Z. P.: Hydrological
simulation approaches for BMPs and LID practices in highly urbanized area
and development of hydrological performance indicator system, Water Sci.
Eng., 7, 143–154, https://doi.org/10.3882/j.issn.1674-2370.2014.02.003,
2014.
Stanić, F., Cui, Y. J., Delage, P., De Laure, E., Versini, P. A.,
Schertzer, D., and Tchiguirinskaia, I.: A device for the simultaneous
determination of the water retention properties and the hydraulic
conductivity function of an unsaturated coarse material; application to a
green-roof volcanic substrate, Geotech. Test. J., 43,
https://doi.org/10.1520/GTJ20170443, 2019.
Tchiguirinskaia, I., Schertzer, D., Hubert, P., Bendjoudi, H., and Lovejoy,
S.: Multiscaling geophysics and sustainable development, IAHS Publ. Proc.
Reports, 287, 113–136, 2004.
Velleux, M. L., England, J. F., and Julien, P. Y.: TREX: spatially
distributed model to assess watershed contaminant transport and fate, Sci.
Total Environ., 404, 113–128,
https://doi.org/10.1016/j.scitotenv.2008.05.053, 2008.
Versini, P. A., Gires, A., Tchinguirinskaia, I., and Schertzer, D.: Toward an
operational tool to simulate green roof hydrological impact at the basin
scale: A new version of the distributed rainfall-runoff model Multi-Hydro,
Water Sci. Technol., 74, 1845–1854,
https://doi.org/10.2166/wst.2016.310, 2016.
Versini, P. A., Kotelnikova, N., Poulhes, A., Tchiguirinskaia, I.,
Schertzer, D., and Leurent, F.: A distributed modelling approach to assess
the use of Blue and Green Infrastructures to fulfil stormwater management
requirements, Landscape Urban Plan., 173, 60–63,
https://doi.org/10.1016/j.landurbplan.2018.02.001, 2018.
Versini, P.-A., Gires, A., Tchiguirinskaia, I., and Schertzer, D.: Fractal analysis
of green roof spatial implementation in European cities, Urban For.
Urban Gree., 49, 126629, https://doi.org/10.1016/j.ufug.2020.126629,
2020.
Zahmatkesh, Z., Burian, S. J., Karamouz, M., Tavakol-Davani, H., and
Goharian, E.: Low-Impact Development Practices to Mitigate Climate Change
Effects on Urban Stormwater Runoff: Case Study of New York City, J. Irrig.
Drain. Eng., 141, 4014043,
https://doi.org/10.1061/(ASCE)IR.1943-4774.0000770, 2015.
Zhu, Z., Chen, Z., Chen, X., and Yu, G.: An assessment of the hydrologic
effectiveness of low impact development (LID) practices for managing runoff
with different objectives, J. Environ. Manage., 231, 504–514,
https://doi.org/10.1016/j.jenvman.2018.10.046, 2019.
Short summary
Our original research objective is to investigate the uncertainties of the hydrological responses of nature-based solutions (NBSs) that result from the multiscale space variability in both the rainfall and the NBS distribution. Results show that the intersection effects of spatial variability in rainfall and the spatial arrangement of NBS can generate uncertainties of peak flow and total runoff volume estimations in NBS scenarios.
Our original research objective is to investigate the uncertainties of the hydrological...
