Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1473-2018
© Author(s) 2018. 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-22-1473-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| Highlight paper
| 
28 Feb 2018
Review article | Highlight paper |
| 28 Feb 2018
| 28 Feb 2018
Citizen observations contributing to flood modelling: opportunities and challenges
Thaine H. Assumpção
CORRESPONDING AUTHOR
Integrated Water Systems and Governance, IHE Delft, Delft, the Netherlands
Ioana Popescu
Integrated Water Systems and Governance, IHE Delft, Delft, the Netherlands
Andreja Jonoski
Integrated Water Systems and Governance, IHE Delft, Delft, the Netherlands
Dimitri P. Solomatine
Integrated Water Systems and Governance, IHE Delft, Delft, the Netherlands
Water Resources Section, Delft University of Technology, Delft, the Netherlands
Related authors
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Mostafa Saberian, Vidya Samadi, and Ioana Popescu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-261, https://doi.org/10.5194/hess-2024-261, 2024
Preprint under review for HESS
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Recent progress in neural network accelerated improvements in the performance of catchment modeling systems. Yet flood modeling remains a very difficult task. Focusing on two headwater streams, this paper developed N-HiTS and N-BEATS models and benchmarked them with LSTM to predict flooding events. Analysis suggested that both N-HiTS and N-BEATS outperformed LSTM for short-term (1-hour) flood predictions.
Jitao Zhang, Dimitri Solomatine, and Zengchuan Dong
Hydrol. Earth Syst. Sci., 28, 3739–3753, https://doi.org/10.5194/hess-28-3739-2024, https://doi.org/10.5194/hess-28-3739-2024, 2024
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Faced with the problem of uncertainty in the field of water resources management, this paper proposes the Copula Multi-objective Robust Optimization and Probabilistic Analysis of Robustness (CM-ROPAR) approach to obtain robust water allocation schemes based on the uncertainty of drought and wet encounters and the uncertainty of inflow. We believe that this research article not only highlights the significance of the CM-ROPAR approach but also provides a new concept for uncertainty analysis.
Faisal Sardar, Muhammad Haris Ali, Ioana Popescu, Andreja Jonoski, Schalk Jan van Andel, and Claudia Bertini
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-276, https://doi.org/10.5194/hess-2023-276, 2023
Manuscript not accepted for further review
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This article analyzes surface and groundwater interactions in a small transboundary lowland catchment. The study also investigates the influence of rainfall representation in model on surface subsurface hydrological simulations. Emphasizing the significance of these interactions, the research highlighted the role of subsurface baseflow in contributing to river discharge. Despite minimal impact on streamflow, spatial variability in rainfall can cause localized fluctuations in groundwater levels.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
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This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Betina I. Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023, https://doi.org/10.5194/nhess-23-2663-2023, 2023
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We used an integrated model to evaluate the impacts of nature-based solutions (NBSs) on flood mitigation across the Little Pee Dee and Lumber River watershed, the Carolinas, US. This area is strongly affected by climatic disasters, which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBSs can have visible effects on the reduction in hurricane-driven flooding.
Mohamed Elneel Elshaikh Eltayeb Elbasheer, Gerald Augusto Corzo, Dimitri Solomatine, and Emmanouil Varouchakis
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-98, https://doi.org/10.5194/hess-2023-98, 2023
Revised manuscript not accepted
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In this research, we explored the use of machine learning (ML) to improve the S2S ensemble precipitation forecast, different approaches were used as exploratory experiments to see which approach is better addressing the improvement of the ensemble probabilistic forecast, as a conclusion of our research, we found that the concept of committee model (CM) is a promising approach that can be further studied and evaluated using a different combination of the state of the art ML techniques.
Mohamed Elneel Elshaikh Eltayeb Elbasheer, Gerald Augusto Corzo, Dimitri Solomatine, and Emmanouil Varouchakis
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-348, https://doi.org/10.5194/hess-2022-348, 2022
Manuscript not accepted for further review
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In this research, we explored the use of machine learning (ML) to improve the ECMWF S2S ensemble precipitation forecast, different approaches were used as exploratory experiments to see which approach is better addressing the improvement of the ensemble probabilistic forecast, as a conclusion of our research, we found that the concept of committee model (CM) is a promising approach that can be further studied and evaluated using a different combination of the state of the art ML techniques.
Vitali Diaz, Ahmed A. A. Osman, Gerald A. Corzo Perez, Henny A. J. Van Lanen, Shreedhar Maskey, and Dimitri Solomatine
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-252, https://doi.org/10.5194/hess-2022-252, 2022
Preprint withdrawn
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Drought impacts on crops can be assessed in terms of crop yield (CY) variation. The hypothesis is that the spatiotemporal change of drought area is a good input to predict CY. A step-by-step approach for predicting CY is built based on two types of machine learning models. Drought area was found suitable for predicting CY. Since it is currently possible to calculate drought areas within drought monitoring systems, the prediction of drought impacts can be integrated directly into them.
Vitali Diaz, Ahmed A. A. Osman, Gerald A. Corzo Perez, Henny A. J. Van Lanen, Shreedhar Maskey, and Dimitri Solomatine
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-600, https://doi.org/10.5194/hess-2021-600, 2021
Preprint withdrawn
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Drought effects on crops are usually evaluated through crop yield (CY). The hypothesis is that the drought spatial extent is a good input to predict CY. A machine learning approach to predict crop yield is introduced. The use of drought area was found suitable. Since it is currently possible to calculate drought areas within drought monitoring systems, the direct application to predict drought effects can be integrated into them by following approaches such as the one presented or similar.
Shaokun He, Shenglian Guo, Chong-Yu Xu, Kebing Chen, Zhen Liao, Lele Deng, Huanhuan Ba, and Dimitri Solomatine
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-586, https://doi.org/10.5194/hess-2019-586, 2020
Manuscript not accepted for further review
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Aiming at cascade impoundment operation, we develop a classification-aggregation-decomposition method to overcome the
curse of dimensionalityand inflow stochasticity problem. It is tested with a mixed 30-reservoir system in China. The results show that our method can provide lots of schemes to refer to different flood event scenarios. The best scheme outperforms the conventional operating rule, as it increases impoundment efficiency and hydropower generation while flood control risk is less.
Md Feroz Islam, Biswa Bhattacharya, and Ioana Popescu
Nat. Hazards Earth Syst. Sci., 19, 353–368, https://doi.org/10.5194/nhess-19-353-2019, https://doi.org/10.5194/nhess-19-353-2019, 2019
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Bangladesh, one of the most disaster-prone countries in the world, has a dynamic delta with 123 polders. Cyclone-induced storm surges cause severe damage to these polders. This paper presents an investigation of the inundation pattern in a polder due to dike failure caused by storm surges and identifies possible critical locations of dike breaches. Moreover, the risk of flooding was assessed and probabilistic flood maps were generated for the breaching of dikes.
David R. Casson, Micha Werner, Albrecht Weerts, and Dimitri Solomatine
Hydrol. Earth Syst. Sci., 22, 4685–4697, https://doi.org/10.5194/hess-22-4685-2018, https://doi.org/10.5194/hess-22-4685-2018, 2018
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In high-latitude (> 60° N) watersheds, measuring the snowpack and predicting of snowmelt runoff are uncertain due to the lack of data and complex physical processes. This provides challenges for hydrological assessment and operational water management. Global re-analysis datasets have great potential to aid in snowpack representation and snowmelt prediction when combined with a distributed hydrological model, though they still have clear limitations in remote boreal forest and tundra environments.
Alexander Gelfan, Vsevolod Moreydo, Yury Motovilov, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 22, 2073–2089, https://doi.org/10.5194/hess-22-2073-2018, https://doi.org/10.5194/hess-22-2073-2018, 2018
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We describe a forecasting procedure that is based on a semi-distributed hydrological model using two types of weather ensembles for the lead time period: observed weather data, constructed on the basis of the ESP methodology, and synthetic weather data, simulated by a weather generator. We compare the described methodology with the regression-based operational forecasts that are currently in practice and show the increased informational content of the ensemble-based forecasts.
Anqi Wang and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-78, https://doi.org/10.5194/hess-2018-78, 2018
Manuscript not accepted for further review
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This paper presents a brief review and classification of sensitivity analysis (SA) methods. Six different global SA methods: Sobol, FAST, Morris, LH-OAT, RSA and PAWN are tested on the three conceptual rainfall-runoff models with varying complexity: (GR4J, Hymod and HBV), with respect to effectiveness, efficiency and convergence. Practical framework of selecting and using the SA methods is presented, which may be of assistance for practitioners assessing reliability of their models.
Maurizio Mazzoleni, Vivian Juliette Cortes Arevalo, Uta Wehn, Leonardo Alfonso, Daniele Norbiato, Martina Monego, Michele Ferri, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 22, 391–416, https://doi.org/10.5194/hess-22-391-2018, https://doi.org/10.5194/hess-22-391-2018, 2018
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We investigate the usefulness of assimilating crowdsourced observations from a heterogeneous network of sensors for different scenarios of citizen involvement levels during the flood event occurred in the Bacchiglione catchment in May 2013. We achieve high model performance by integrating crowdsourced data, in particular from citizens motivated by their feeling of belonging to a community. Satisfactory model performance can still be obtained even for decreasing citizen involvement over time.
Omar Wani, Joost V. L. Beckers, Albrecht H. Weerts, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 21, 4021–4036, https://doi.org/10.5194/hess-21-4021-2017, https://doi.org/10.5194/hess-21-4021-2017, 2017
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We generate uncertainty intervals for hydrologic model predictions using a simple instance-based learning scheme. Errors made by the model in some specific hydrometeorological conditions in the past are used to predict the probability distribution of its errors during forecasting. We test it for two different case studies in England. We find that this technique, even though conceptually simple and easy to implement, performs as well as some other sophisticated uncertainty estimation methods.
Juan C. Chacon-Hurtado, Leonardo Alfonso, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 21, 3071–3091, https://doi.org/10.5194/hess-21-3071-2017, https://doi.org/10.5194/hess-21-3071-2017, 2017
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This paper compiles most of the studies (as far as the authors are aware) on the design of sensor networks for measurement of precipitation and streamflow. The literature shows that there is no overall consensus on the methods for the evaluation of sensor networks, as different design criteria often lead to different solutions. This paper proposes a methodology for the classification of methods, and a general framework for the design of sensor networks.
Maurizio Mazzoleni, Martin Verlaan, Leonardo Alfonso, Martina Monego, Daniele Norbiato, Miche Ferri, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 21, 839–861, https://doi.org/10.5194/hess-21-839-2017, https://doi.org/10.5194/hess-21-839-2017, 2017
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This study assesses the potential use of crowdsourced data in hydrological modeling, which are characterized by irregular availability and variable accuracy. We show that even data with these characteristics can improve flood prediction if properly integrated into hydrological models. This study provides technological support to citizen observatories of water, in which citizens can play an active role in capturing information, leading to improved model forecasts and better flood management.
Ali D. Abdullah, Jacqueline I. A. Gisen, Pieter van der Zaag, Hubert H. G. Savenije, Usama F. A. Karim, Ilyas Masih, and Ioana Popescu
Hydrol. Earth Syst. Sci., 20, 4031–4042, https://doi.org/10.5194/hess-20-4031-2016, https://doi.org/10.5194/hess-20-4031-2016, 2016
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A comprehensive and detailed data set of the salinity distribution over an entire year in a complex and dynamic (because heavily utilized and modified) deltaic river system was thoroughly analysed, and formed the basis for a validated analytical model that can predict the extent of seawater among other salinity sources in an estuary. The procedure can be applied to other estuaries.
Z. N. Musa, I. Popescu, and A. Mynett
Hydrol. Earth Syst. Sci., 19, 3755–3769, https://doi.org/10.5194/hess-19-3755-2015, https://doi.org/10.5194/hess-19-3755-2015, 2015
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Hydrological data collection is a challenge for the scientific community, especially as some events e.g. floods occur in un-gauged rivers or infrequently.
Some such events are however recorded by satellites.
Using satellite remote sensing in estimating surface water parameters has its limitations, but recent improvements in sensor specifications, expansion in research methods and knowledge of satellite data have increased its utilization.
The review is on modelling and mapping with RS.
N. Dogulu, P. López López, D. P. Solomatine, A. H. Weerts, and D. L. Shrestha
Hydrol. Earth Syst. Sci., 19, 3181–3201, https://doi.org/10.5194/hess-19-3181-2015, https://doi.org/10.5194/hess-19-3181-2015, 2015
A. Md Ali, D. P. Solomatine, and G. Di Baldassarre
Hydrol. Earth Syst. Sci., 19, 631–643, https://doi.org/10.5194/hess-19-631-2015, https://doi.org/10.5194/hess-19-631-2015, 2015
Z. N. Musa, I. Popescu, and A. Mynett
Nat. Hazards Earth Syst. Sci., 14, 3317–3329, https://doi.org/10.5194/nhess-14-3317-2014, https://doi.org/10.5194/nhess-14-3317-2014, 2014
P. López López, J. S. Verkade, A. H. Weerts, and D. P. Solomatine
Hydrol. Earth Syst. Sci., 18, 3411–3428, https://doi.org/10.5194/hess-18-3411-2014, https://doi.org/10.5194/hess-18-3411-2014, 2014
C. Fu, I. Popescu, C. Wang, A. E. Mynett, and F. Zhang
Hydrol. Earth Syst. Sci., 18, 1225–1237, https://doi.org/10.5194/hess-18-1225-2014, https://doi.org/10.5194/hess-18-1225-2014, 2014
N. Kayastha, J. Ye, F. Fenicia, V. Kuzmin, and D. P. Solomatine
Hydrol. Earth Syst. Sci., 17, 4441–4451, https://doi.org/10.5194/hess-17-4441-2013, https://doi.org/10.5194/hess-17-4441-2013, 2013
M. Castro Gama, I. Popescu, A. Mynett, L. Shengyang, and A. van Dam
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-1-6061-2013, https://doi.org/10.5194/nhessd-1-6061-2013, 2013
Manuscript not accepted for further review
M. B. Mabrouk, A. Jonoski, D. Solomatine, and S. Uhlenbrook
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-10873-2013, https://doi.org/10.5194/hessd-10-10873-2013, 2013
Revised manuscript not accepted
P. D. T. Van, I. Popescu, A. van Griensven, D. P. Solomatine, N. H. Trung, and A. Green
Hydrol. Earth Syst. Sci., 16, 4637–4649, https://doi.org/10.5194/hess-16-4637-2012, https://doi.org/10.5194/hess-16-4637-2012, 2012
Related subject area
Subject: Rivers and Lakes | Techniques and Approaches: Instruments and observation techniques
Hydrological, meteorological, and watershed controls on the water balance of thermokarst lakes between Inuvik and Tuktoyaktuk, Northwest Territories, Canada
Influence of vegetation maintenance on flow and mixing: case study comparing fully cut with high-coverage conditions
Assessing the influence of lake and watershed attributes on snowmelt bypass at thermokarst lakes
Technical note: Analyzing river network dynamics and the active length–discharge relationship using water presence sensors
Technical note: Efficient imaging of hydrological units below lakes and fjords with a floating, transient electromagnetic (FloaTEM) system
Drastic decline of flood pulse in the Cambodian floodplains (Mekong River and Tonle Sap system)
Seasonality of density currents induced by differential cooling
Implications of variations in stream specific conductivity for estimating baseflow using chemical mass balance and calibrated hydrograph techniques
Enhanced flood hazard assessment beyond decadal climate cycles based on centennial historical data (Duero basin, Spain)
Contrasting hydrological and thermal intensities determine seasonal lake-level variations – a case study at Paiku Co on the southern Tibetan Plateau
Technical note: Mobile open dynamic chamber measurement of methane macroseeps in lakes
A Fast-Response Automated Gas Equilibrator (FaRAGE) for continuous in situ measurement of CH4 and CO2 dissolved in water
Technical note: Greenhouse gas flux studies: an automated online system for gas emission measurements in aquatic environments
Evolution and dynamics of the vertical temperature profile in an oligotrophic lake
Long-term changes in central European river discharge for 1869–2016: impact of changing snow covers, reservoir constructions and an intensified hydrological cycle
Reliable reference for the methane concentrations in Lake Kivu at the beginning of industrial exploitation
Small dams alter thermal regimes of downstream water
Oxycline oscillations induced by internal waves in deep Lake Iseo
Turbulent mixing and heat fluxes under lake ice: the role of seiche oscillations
New profiling and mooring records help to assess variability of Lake Issyk-Kul and reveal unknown features of its thermohaline structure
Evaluation of lacustrine groundwater discharge, hydrologic partitioning, and nutrient budgets in a proglacial lake in the Qinghai–Tibet Plateau: using 222Rn and stable isotopes
Long-term temporal trajectories to enhance restoration efficiency and sustainability on large rivers: an interdisciplinary study
Active heat pulse sensing of 3-D-flow fields in streambeds
Technical note: False low turbidity readings from optical probes during high suspended-sediment concentrations
Effectiveness of distributed temperature measurements for early detection of piping in river embankments
Dead Sea evaporation by eddy covariance measurements vs. aerodynamic, energy budget, Priestley–Taylor, and Penman estimates
Technical note: Stage and water width measurement of a mountain stream using a simple time-lapse camera
Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge
Information content of stream level class data for hydrological model calibration
Hydrology of inland tropical lowlands: the Kapuas and Mahakam wetlands
Technical Note: Monitoring of unsteady open channel flows using the continuous slope-area method
Application of CryoSat-2 altimetry data for river analysis and modelling
Technical Note: Advances in flash flood monitoring using unmanned aerial vehicles (UAVs)
Using radon to understand parafluvial flows and the changing locations of groundwater inflows in the Avon River, southeast Australia
Influence of environmental factors on spectral characteristics of chromophoric dissolved organic matter (CDOM) in Inner Mongolia Plateau, China
DAHITI – an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry
The Global Network of Isotopes in Rivers (GNIR): integration of water isotopes in watershed observation and riverine research
A 2600-year history of floods in the Bernese Alps, Switzerland: frequencies, mechanisms and climate forcing
Technical Note: Semi-automated effective width extraction from time-lapse RGB imagery of a remote, braided Greenlandic river
Characterization of sediment layer composition in a shallow lake: from open water zones to reed belt areas
Morphological, hydrological, biogeochemical and ecological changes and challenges in river restoration – the Thur River case study
Dynamics of auto- and heterotrophic picoplankton and associated viruses in Lake Geneva
Historic maps as a data source for socio-hydrology: a case study of the Lake Balaton wetland system, Hungary
Spatio-temporal heterogeneity of riparian soil morphology in a restored floodplain
Flood discharge measurement of a mountain river – Nanshih River in Taiwan
Hydrochemical variability at the Upper Paraguay Basin and Pantanal wetland
Measurement of spatial and temporal fine sediment dynamics in a small river
Technical Note: How image processing facilitates the rising bubble technique for discharge measurement
Discharge estimation in a backwater affected meandering river
Ephemeral stream sensor design using state loggers
Evan J. Wilcox, Brent B. Wolfe, and Philip Marsh
Hydrol. Earth Syst. Sci., 27, 2173–2188, https://doi.org/10.5194/hess-27-2173-2023, https://doi.org/10.5194/hess-27-2173-2023, 2023
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The Arctic is warming quickly and influencing lake water balances. We used water isotope concentrations taken from samples of 25 lakes in the Canadian Arctic and estimated the average ratio of evaporation to inflow (E / I) for each lake. The ratio of watershed area (the area that flows into the lake) to lake area (WA / LA) strongly predicted E / I, as lakes with relatively smaller watersheds received less inflow. The WA / LA could be used to predict the vulnerability of Arctic lakes to future change.
Monika Barbara Kalinowska, Kaisa Västilä, Michael Nones, Adam Kiczko, Emilia Karamuz, Andrzej Brandyk, Adam Kozioł, and Marcin Krukowski
Hydrol. Earth Syst. Sci., 27, 953–968, https://doi.org/10.5194/hess-27-953-2023, https://doi.org/10.5194/hess-27-953-2023, 2023
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Vegetation is commonly found in rivers and channels. Using field investigations, we evaluated the influence of different vegetation coverages on the flow and mixing in the small naturally vegetated channel. The obtained results are expected to be helpful for practitioners, enlarge our still limited knowledge, and show the further required scientific directions for a better understanding of the influence of vegetation on the flow and mixing of dissolved substances in real natural conditions.
Evan J. Wilcox, Brent B. Wolfe, and Philip Marsh
Hydrol. Earth Syst. Sci., 26, 6185–6205, https://doi.org/10.5194/hess-26-6185-2022, https://doi.org/10.5194/hess-26-6185-2022, 2022
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We estimated how much of the water flowing into lakes during snowmelt replaced the pre-snowmelt lake water. Our data show that, as lake depth increases, the amount of water mixed into lakes decreased, because vertical mixing is reduced as lake depth increases. Our data also show that the water mixing into lakes is not solely snow-sourced but is a mixture of snowmelt and soil water. These results are relevant for lake biogeochemistry given the unique properties of snowmelt runoff.
Francesca Zanetti, Nicola Durighetto, Filippo Vingiani, and Gianluca Botter
Hydrol. Earth Syst. Sci., 26, 3497–3516, https://doi.org/10.5194/hess-26-3497-2022, https://doi.org/10.5194/hess-26-3497-2022, 2022
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River networks are highly dynamical. Characterizing expansion and retraction of flowing streams is a significant scientific challenge. Electrical resistance sensors were used to monitor stream network patterns in an alpine catchment. Our data show the presence of spatial heterogeneity in network dynamics and that the active length is more sensitive than discharge to small rain events. The study unravels potentials and limitations of the sensors for the characterization of temporary streams.
Pradip Kumar Maurya, Frederik Ersted Christensen, Masson Andy Kass, Jesper B. Pedersen, Rasmus R. Frederiksen, Nikolaj Foged, Anders Vest Christiansen, and Esben Auken
Hydrol. Earth Syst. Sci., 26, 2813–2827, https://doi.org/10.5194/hess-26-2813-2022, https://doi.org/10.5194/hess-26-2813-2022, 2022
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In this paper, we present an application of the electromagnetic method to image the subsurface below rivers, lakes, or any surface water body. The scanning of the subsurface is carried out by sailing an electromagnetic sensor called FloaTEM. Imaging results show a 3D distribution of different sediment types below the freshwater lakes. In the case of saline water, the system is capable of identifying the probable location of groundwater discharge into seawater.
Samuel De Xun Chua, Xi Xi Lu, Chantha Oeurng, Ty Sok, and Carl Grundy-Warr
Hydrol. Earth Syst. Sci., 26, 609–625, https://doi.org/10.5194/hess-26-609-2022, https://doi.org/10.5194/hess-26-609-2022, 2022
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We found that the annual flood at the Cambodian floodplains decreased from 1960 to 2019. Consequently, the Tonle Sap Lake, the largest lake in Southeast Asia, is shrinking. The results are worrying because the local fisheries and planting calendar might be disrupted. This drastic decline of flooding extent is caused mostly by local factors, namely water withdrawal for irrigation and channel incision from sand mining activities.
Tomy Doda, Cintia L. Ramón, Hugo N. Ulloa, Alfred Wüest, and Damien Bouffard
Hydrol. Earth Syst. Sci., 26, 331–353, https://doi.org/10.5194/hess-26-331-2022, https://doi.org/10.5194/hess-26-331-2022, 2022
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At night or during cold periods, the shallow littoral region of lakes cools faster than their deeper interior. This induces a cold downslope current that carries littoral waters offshore. From a 1-year-long database collected in a small temperate lake, we resolve the seasonality of this current and report its frequent occurrence from summer to winter. This study contributes to a better quantification of lateral exchange in lakes, with implications for the transport of dissolved compounds.
Ian Cartwright
Hydrol. Earth Syst. Sci., 26, 183–195, https://doi.org/10.5194/hess-26-183-2022, https://doi.org/10.5194/hess-26-183-2022, 2022
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Using specific conductivity (SC) to estimate groundwater inflow to rivers is complicated by bank return waters, interflow, and flows off floodplains contributing to baseflow in all but the driest years. Using the maximum SC of the river in dry years to estimate the SC of groundwater produces the best baseflow vs. streamflow trends. The variable composition of baseflow hinders calibration of hydrograph-based techniques to estimate groundwater inflows.
Gerardo Benito, Olegario Castillo, Juan A. Ballesteros-Cánovas, Maria Machado, and Mariano Barriendos
Hydrol. Earth Syst. Sci., 25, 6107–6132, https://doi.org/10.5194/hess-25-6107-2021, https://doi.org/10.5194/hess-25-6107-2021, 2021
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Climate change is expected to increase the intensity of floods, but changes are difficult to project. We compiled historical and modern flood data of the Rio Duero (Spain) to evaluate flood hazards beyond decadal climate cycles. Historical floods were obtained from documentary sources, identifying 69 floods over 1250–1871 CE. Discharges were calculated from reported flood heights. Flood frequency using historical datasets showed the most robust results, guiding climate change adaptation.
Yanbin Lei, Tandong Yao, Kun Yang, Lazhu, Yaoming Ma, and Broxton W. Bird
Hydrol. Earth Syst. Sci., 25, 3163–3177, https://doi.org/10.5194/hess-25-3163-2021, https://doi.org/10.5194/hess-25-3163-2021, 2021
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Lake evaporation from Paiku Co on the TP is low in spring and summer and high in autumn and early winter. There is a ~ 5-month lag between net radiation and evaporation due to large lake heat storage. High evaporation and low inflow cause significant lake-level decrease in autumn and early winter, while low evaporation and high inflow cause considerable lake-level increase in summer. This study implies that evaporation can affect the different amplitudes of lake-level variations on the TP.
Frederic Thalasso, Katey Walter Anthony, Olya Irzak, Ethan Chaleff, Laughlin Barker, Peter Anthony, Philip Hanke, and Rodrigo Gonzalez-Valencia
Hydrol. Earth Syst. Sci., 24, 6047–6058, https://doi.org/10.5194/hess-24-6047-2020, https://doi.org/10.5194/hess-24-6047-2020, 2020
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Methane (CH4) seepage is the steady or episodic flow of gaseous hydrocarbons from subsurface reservoirs that has been identified as a significant source of atmospheric CH4. The monitoring of these emissions is important and despite several available methods, large macroseeps are still difficult to measure due to a lack of a lightweight and inexpensive method deployable in remote environments. Here, we report the development of a mobile chamber for measuring intense CH4 macroseepage in lakes.
Shangbin Xiao, Liu Liu, Wei Wang, Andreas Lorke, Jason Woodhouse, and Hans-Peter Grossart
Hydrol. Earth Syst. Sci., 24, 3871–3880, https://doi.org/10.5194/hess-24-3871-2020, https://doi.org/10.5194/hess-24-3871-2020, 2020
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To better understand the fate of methane (CH4) and carbon dioxide (CO2) in freshwaters, dissolved CH4 and CO2 need to be measured with a high temporal resolution. We developed the Fast-Response Automated Gas Equilibrator (FaRAGE) for real-time in situ measurement of dissolved gases in water. FaRAGE can achieve a short response time (CH4:
t95 % = 12 s; CO2:
t95 % = 10 s) while retaining a high equilibration ratio and accuracy.
Nguyen Thanh Duc, Samuel Silverstein, Martin Wik, Patrick Crill, David Bastviken, and Ruth K. Varner
Hydrol. Earth Syst. Sci., 24, 3417–3430, https://doi.org/10.5194/hess-24-3417-2020, https://doi.org/10.5194/hess-24-3417-2020, 2020
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Under rapid ongoing climate change, accurate quantification of natural greenhouse gas emissions in aquatic environments such as lakes and ponds is needed to understand regulation and feedbacks. Building on the rapid development in wireless communication, sensors, and computation technology, we present a low-cost, open-source, automated and remotely accessed and controlled device for carbon dioxide and methane fluxes from open-water environments along with tests showing their potential.
Zvjezdana B. Klaić, Karmen Babić, and Mirko Orlić
Hydrol. Earth Syst. Sci., 24, 3399–3416, https://doi.org/10.5194/hess-24-3399-2020, https://doi.org/10.5194/hess-24-3399-2020, 2020
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Fine-resolution lake temperature measurements (2 min, 15 depths) show different lake responses to atmospheric forcings: (1) continuous diurnal oscillations in the temperature in the first 5 m of the lake, (2) occasional diurnal oscillations in the temperature at depths from 7 to 20 m, and (3) occasional surface and internal seiches. Due to the sloped lake bottom, surface seiches produced the high-frequency oscillations in the lake temperatures with periods of 9 min at depths from 9 to 17 m.
Erwin Rottler, Till Francke, Gerd Bürger, and Axel Bronstert
Hydrol. Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/hess-24-1721-2020, https://doi.org/10.5194/hess-24-1721-2020, 2020
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In the attempt to identify and disentangle long-term impacts of changes in snow cover and precipitation along with reservoir constructions, we employ a set of analytical tools on hydro-climatic time series. We identify storage reservoirs as an important factor redistributing runoff from summer to winter. Furthermore, our results hint at more (intense) rainfall in recent decades. Detected increases in high discharge can be traced back to corresponding changes in precipitation.
Bertram Boehrer, Wolf von Tümpling, Ange Mugisha, Christophe Rogemont, and Augusta Umutoni
Hydrol. Earth Syst. Sci., 23, 4707–4716, https://doi.org/10.5194/hess-23-4707-2019, https://doi.org/10.5194/hess-23-4707-2019, 2019
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Dissolved methane in Lake Kivu (East Africa) represents a precious energy deposit, but the high gas loads have also been perceived as a threat by the local population. Our measurements confirm the huge amount of methane and carbon dioxide present, but do not support the current theory of a significant recharge. Direct measurements of gas pressure indicate no imminent danger due to limnic eruptions. A continuous survey is mandatory to support responsible action during industrial exploitation.
André Chandesris, Kris Van Looy, Jacob S. Diamond, and Yves Souchon
Hydrol. Earth Syst. Sci., 23, 4509–4525, https://doi.org/10.5194/hess-23-4509-2019, https://doi.org/10.5194/hess-23-4509-2019, 2019
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We found that small dams in rivers alter the thermal regimes of downstream waters in two distinct ways: either only the downstream daily minimum temperatures increase, or both the downstream daily minimum and maximum temperatures increase. We further show that only two physical dam characteristics can explain this difference in temperature response: (1) residence time, and (2) surface area. These results may help managers prioritize efforts to restore the fragmented thermalscapes of rivers.
Giulia Valerio, Marco Pilotti, Maximilian Peter Lau, and Michael Hupfer
Hydrol. Earth Syst. Sci., 23, 1763–1777, https://doi.org/10.5194/hess-23-1763-2019, https://doi.org/10.5194/hess-23-1763-2019, 2019
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This paper provides experimental evidence of the occurrence of large and periodic movements induced by the wind at 95 m in depth in Lake Iseo, where a permanent chemocline is located. These movements determine vertical oscillations of the oxycline up to 20 m. Accordingly, in 3 % of the sediment area alternating redox conditions occur, which might force unsteady sediment–water fluxes. This finding has major implications for the internal matter cycle in Lake Iseo.
Georgiy Kirillin, Ilya Aslamov, Matti Leppäranta, and Elisa Lindgren
Hydrol. Earth Syst. Sci., 22, 6493–6504, https://doi.org/10.5194/hess-22-6493-2018, https://doi.org/10.5194/hess-22-6493-2018, 2018
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We have discovered transient appearances of strong turbulent mixing beneath the ice of an Arctic lake. Such mixing events increase heating of the ice base up to an order of magnitude and can significantly accelerate ice melting. The source of mixing was identified as oscillations of the entire lake water body triggered by strong winds over the lake surface. This previously unknown mechanism of ice melt may help understand the link between the climate conditions and the seasonal ice formation.
Peter O. Zavialov, Alexander S. Izhitskiy, Georgiy B. Kirillin, Valentina M. Khan, Boris V. Konovalov, Peter N. Makkaveev, Vadim V. Pelevin, Nikolay A. Rimskiy-Korsakov, Salmor A. Alymkulov, and Kubanychbek M. Zhumaliev
Hydrol. Earth Syst. Sci., 22, 6279–6295, https://doi.org/10.5194/hess-22-6279-2018, https://doi.org/10.5194/hess-22-6279-2018, 2018
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This paper reports the results of field surveys conducted in Lake Issyk-Kul in 2015–2017 and compares the present-day data with the available historical records. Our data do not confirm the reports of progressive warming of the deep Issyk-Kul waters as suggested in some previous publications. However, they do indicate a positive trend of salinity in the lake’s interior over the last 3 decades. An important newly found feature is a persistent salinity maximum at depths of 70–120 m.
Xin Luo, Xingxing Kuang, Jiu Jimmy Jiao, Sihai Liang, Rong Mao, Xiaolang Zhang, and Hailong Li
Hydrol. Earth Syst. Sci., 22, 5579–5598, https://doi.org/10.5194/hess-22-5579-2018, https://doi.org/10.5194/hess-22-5579-2018, 2018
David Eschbach, Laurent Schmitt, Gwenaël Imfeld, Jan-Hendrik May, Sylvain Payraudeau, Frank Preusser, Mareike Trauerstein, and Grzegorz Skupinski
Hydrol. Earth Syst. Sci., 22, 2717–2737, https://doi.org/10.5194/hess-22-2717-2018, https://doi.org/10.5194/hess-22-2717-2018, 2018
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In this study we show the relevance of an interdisciplinary study for improving restoration within the framework of a European LIFE+ project on the French side of the Upper Rhine (Rohrschollen Island). Our results underscore the advantage of combining functional restoration with detailed knowledge of past trajectories in complex hydrosystems. We anticipate our approach will expand the toolbox of decision-makers and help orientate functional restoration actions in the future.
Eddie W. Banks, Margaret A. Shanafield, Saskia Noorduijn, James McCallum, Jörg Lewandowski, and Okke Batelaan
Hydrol. Earth Syst. Sci., 22, 1917–1929, https://doi.org/10.5194/hess-22-1917-2018, https://doi.org/10.5194/hess-22-1917-2018, 2018
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This study used a portable 56-sensor, 3-D temperature array with three heat pulse sources to measure the flow direction and magnitude below the water–sediment interface. Breakthrough curves from each of the sensors were analyzed using a heat transport equation. The use of short-duration heat pulses provided a rapid, accurate assessment technique for determining dynamic and multi-directional flow patterns in the hyporheic zone and is a basis for improved understanding of biogeochemical processes.
Nicholas Voichick, David J. Topping, and Ronald E. Griffiths
Hydrol. Earth Syst. Sci., 22, 1767–1773, https://doi.org/10.5194/hess-22-1767-2018, https://doi.org/10.5194/hess-22-1767-2018, 2018
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This paper describes instances in the Grand Canyon study area and a laboratory experiment in which very high suspended-sediment concentrations result in incorrectly low turbidity recorded with a commonly used field instrument. If associated with the monitoring of a construction or dredging project, false low turbidity could result in regulators being unaware of environmental damage caused by the actually much higher turbidity.
Silvia Bersan, André R. Koelewijn, and Paolo Simonini
Hydrol. Earth Syst. Sci., 22, 1491–1508, https://doi.org/10.5194/hess-22-1491-2018, https://doi.org/10.5194/hess-22-1491-2018, 2018
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Backward erosion piping is the cause of a significant percentage of failures and incidents involving dams and river embankments. In the past 20 years fibre-optic Distributed Temperature Sensing (DTS) has proved to be effective for the detection of leakages and internal erosion in dams. This work investigates the effectiveness of DTS for monitoring backward erosion piping in river embankments. Data from a large-scale piping test performed on an instrumented dike are presented and discussed.
Jutta Metzger, Manuela Nied, Ulrich Corsmeier, Jörg Kleffmann, and Christoph Kottmeier
Hydrol. Earth Syst. Sci., 22, 1135–1155, https://doi.org/10.5194/hess-22-1135-2018, https://doi.org/10.5194/hess-22-1135-2018, 2018
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This paper is motivated by the need for more precise evaporation rates from the Dead Sea (DS) and methods to estimate and forecast evaporation. A new approach to measure lake evaporation with a station located at the shoreline, also transferable to other lakes, is introduced. The first directly measured DS evaporation rates are presented as well as applicable methods for evaporation calculation. These results enable us to further close the DS water budget and to facilitate the water management.
Pauline Leduc, Peter Ashmore, and Darren Sjogren
Hydrol. Earth Syst. Sci., 22, 1–11, https://doi.org/10.5194/hess-22-1-2018, https://doi.org/10.5194/hess-22-1-2018, 2018
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We show the utility of ground-based time-lapse cameras for automated monitoring of stream stage and flow characteristics. High-frequency flow stage, water surface width and other information on the state of flow can be acquired for extended time periods with simple local calibration using a low-cost time-lapse camera and a few simple field measurements for calibration and for automated image selection and sorting. The approach is a useful substitute or complement to the conventional stage data.
Christina Tecklenburg and Theresa Blume
Hydrol. Earth Syst. Sci., 21, 5043–5063, https://doi.org/10.5194/hess-21-5043-2017, https://doi.org/10.5194/hess-21-5043-2017, 2017
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We characterized groundwater–lake exchange patterns and identified their controls based on extensive field measurements. Our measurement design bridges the gap between the detailed local characterisation and low resolution regional investigations. Results indicated strong spatial variability in groundwater inflow rates: large scale inflow patterns correlated with topography and the groundwater flow field and small scale patterns correlated with grainsize distributions of the lake sediment.
H. J. Ilja van Meerveld, Marc J. P. Vis, and Jan Seibert
Hydrol. Earth Syst. Sci., 21, 4895–4905, https://doi.org/10.5194/hess-21-4895-2017, https://doi.org/10.5194/hess-21-4895-2017, 2017
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We tested the usefulness of stream level class data for hydrological model calibration. Only two stream level classes, e.g. above or below a rock in the stream, were already informative, particularly when the boundary was chosen at a high stream level. There was hardly any improvement in model performance when using more than five stream level classes. These results suggest that model based streamflow time series can be obtained from citizen science based water level class data.
Hidayat Hidayat, Adriaan J. Teuling, Bart Vermeulen, Muh Taufik, Karl Kastner, Tjitske J. Geertsema, Dinja C. C. Bol, Dirk H. Hoekman, Gadis Sri Haryani, Henny A. J. Van Lanen, Robert M. Delinom, Roel Dijksma, Gusti Z. Anshari, Nining S. Ningsih, Remko Uijlenhoet, and Antonius J. F. Hoitink
Hydrol. Earth Syst. Sci., 21, 2579–2594, https://doi.org/10.5194/hess-21-2579-2017, https://doi.org/10.5194/hess-21-2579-2017, 2017
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Hydrological prediction is crucial but in tropical lowland it is difficult, considering data scarcity and river system complexity. This study offers a view of the hydrology of two tropical lowlands in Indonesia. Both lowlands exhibit the important role of upstream wetlands in regulating the flow downstream. We expect that this work facilitates a better prediction of fire-prone conditions in these regions.
Kyutae Lee, Ali R. Firoozfar, and Marian Muste
Hydrol. Earth Syst. Sci., 21, 1863–1874, https://doi.org/10.5194/hess-21-1863-2017, https://doi.org/10.5194/hess-21-1863-2017, 2017
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Accurate estimation of stream/river flows is important in many aspects, including public safety during floods, effective uses of water resources for hydropower generation and irrigation, and environments. In this paper, we investigated a feasibility of the continuous slope area (CSA) method which measures dynamic changes in instantaneous water surface elevations, and the results showed promising capabilities of the suggested method for the accurate estimation of flows in natural streams/rivers.
Raphael Schneider, Peter Nygaard Godiksen, Heidi Villadsen, Henrik Madsen, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 21, 751–764, https://doi.org/10.5194/hess-21-751-2017, https://doi.org/10.5194/hess-21-751-2017, 2017
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We use water level observations from the CryoSat-2 satellite in combination with a river model of the Brahmaputra River, extracting satellite data over a dynamic river mask derived from Landsat imagery. The novelty of this work is the use of the CryoSat-2 water level observations, collected using a complex spatio-temporal sampling scheme, to calibrate a hydrodynamic river model. The resulting model accurately reproduces water levels, without precise knowledge of river bathymetry.
Matthew T. Perks, Andrew J. Russell, and Andrew R. G. Large
Hydrol. Earth Syst. Sci., 20, 4005–4015, https://doi.org/10.5194/hess-20-4005-2016, https://doi.org/10.5194/hess-20-4005-2016, 2016
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Unmanned aerial vehicles (UAVs) have the potential to capture information about the earth’s surface in dangerous and previously inaccessible locations. Here we present a method whereby image acquisition and subsequent analysis have enabled the highly dynamic and oft-immeasurable hydraulic phenomenon present during high-energy flash floods to be quantified at previously unattainable spatial and temporal resolutions.
Ian Cartwright and Harald Hofmann
Hydrol. Earth Syst. Sci., 20, 3581–3600, https://doi.org/10.5194/hess-20-3581-2016, https://doi.org/10.5194/hess-20-3581-2016, 2016
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This paper uses the natural geochemical tracer Rn together with streamflow measurements to differentiate between actual groundwater inflows and water that exits the river, flows through the near-river sediments, and subsequently re-enters the river downstream (parafluvial flow). Distinguishing between these two components is important to understanding the water balance in gaining streams and in managing and protecting surface water resources.
Z. D. Wen, K. S. Song, Y. Zhao, J. Du, and J. H. Ma
Hydrol. Earth Syst. Sci., 20, 787–801, https://doi.org/10.5194/hess-20-787-2016, https://doi.org/10.5194/hess-20-787-2016, 2016
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The study indicated that CDOM in rivers had higher aromaticity, molecular weight, and vascular plant contribution than in terminal lakes in the Hulun Buir plateau, Northeast China. The autochthonous sources of CDOM in plateau waters were higher than in other freshwater rivers reported in the literature. Study of the optical–physicochemical correlations is helpful in the evaluation of the potential influence of water quality factors on non-water light absorption in plateau water environments.
C. Schwatke, D. Dettmering, W. Bosch, and F. Seitz
Hydrol. Earth Syst. Sci., 19, 4345–4364, https://doi.org/10.5194/hess-19-4345-2015, https://doi.org/10.5194/hess-19-4345-2015, 2015
J. Halder, S. Terzer, L. I. Wassenaar, L. J. Araguás-Araguás, and P. K. Aggarwal
Hydrol. Earth Syst. Sci., 19, 3419–3431, https://doi.org/10.5194/hess-19-3419-2015, https://doi.org/10.5194/hess-19-3419-2015, 2015
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We introduce a new online global database of riverine water stable isotopes (Global Network of Isotopes in Rivers) and evaluate its longer-term data holdings. A regionalized, cluster-based precipitation isotope model was used to compare measured to predicted isotope compositions of riverine catchments. The study demonstrated that the seasonal isotopic composition and variation of river water can be predicted, which will improve the application of water stable isotopes in rivers.
L. Schulte, J. C. Peña, F. Carvalho, T. Schmidt, R. Julià, J. Llorca, and H. Veit
Hydrol. Earth Syst. Sci., 19, 3047–3072, https://doi.org/10.5194/hess-19-3047-2015, https://doi.org/10.5194/hess-19-3047-2015, 2015
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A 2600-year long composite palaeoflood record is reconstructed from high-resolution delta plain sediments of the Hasli-Aare floodplain on the northern slope of the Swiss Alps. Natural proxies compiled from sedimentary, geochemical and geomorphological data were calibrated by textual and factual sources and instrumental data. Geomorphological, historical and instrumental data provide evidence for flood damage intensities and discharge estimations of severe and catastrophic historical floods.
C. J. Gleason, L. C. Smith, D. C. Finnegan, A. L. LeWinter, L. H Pitcher, and V. W. Chu
Hydrol. Earth Syst. Sci., 19, 2963–2969, https://doi.org/10.5194/hess-19-2963-2015, https://doi.org/10.5194/hess-19-2963-2015, 2015
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Here, we give a semi-automated processing workflow to extract hydraulic parameters from over 10,000 time-lapse images of the remote Isortoq River in Greenland. This workflow allows efficient and accurate (mean accuracy 79.6%) classification of images following an automated similarity filtering process. We also give an effective width hydrograph (a proxy for discharge) for the Isortoq using this workflow, showing the potential of this workflow for enhancing understanding of remote rivers.
I. Kogelbauer and W. Loiskandl
Hydrol. Earth Syst. Sci., 19, 1427–1438, https://doi.org/10.5194/hess-19-1427-2015, https://doi.org/10.5194/hess-19-1427-2015, 2015
M. Schirmer, J. Luster, N. Linde, P. Perona, E. A. D. Mitchell, D. A. Barry, J. Hollender, O. A. Cirpka, P. Schneider, T. Vogt, D. Radny, and E. Durisch-Kaiser
Hydrol. Earth Syst. Sci., 18, 2449–2462, https://doi.org/10.5194/hess-18-2449-2014, https://doi.org/10.5194/hess-18-2449-2014, 2014
A. Parvathi, X. Zhong, A. S. Pradeep Ram, and S. Jacquet
Hydrol. Earth Syst. Sci., 18, 1073–1087, https://doi.org/10.5194/hess-18-1073-2014, https://doi.org/10.5194/hess-18-1073-2014, 2014
A. Zlinszky and G. Timár
Hydrol. Earth Syst. Sci., 17, 4589–4606, https://doi.org/10.5194/hess-17-4589-2013, https://doi.org/10.5194/hess-17-4589-2013, 2013
B. Fournier, C. Guenat, G. Bullinger-Weber, and E. A. D. Mitchell
Hydrol. Earth Syst. Sci., 17, 4031–4042, https://doi.org/10.5194/hess-17-4031-2013, https://doi.org/10.5194/hess-17-4031-2013, 2013
Y.-C. Chen
Hydrol. Earth Syst. Sci., 17, 1951–1962, https://doi.org/10.5194/hess-17-1951-2013, https://doi.org/10.5194/hess-17-1951-2013, 2013
A. T. Rezende Filho, S. Furian, R. L. Victoria, C. Mascré, V. Valles, and L. Barbiero
Hydrol. Earth Syst. Sci., 16, 2723–2737, https://doi.org/10.5194/hess-16-2723-2012, https://doi.org/10.5194/hess-16-2723-2012, 2012
Y. Schindler Wildhaber, C. Michel, P. Burkhardt-Holm, D. Bänninger, and C. Alewell
Hydrol. Earth Syst. Sci., 16, 1501–1515, https://doi.org/10.5194/hess-16-1501-2012, https://doi.org/10.5194/hess-16-1501-2012, 2012
K. P. Hilgersom and W. M. J. Luxemburg
Hydrol. Earth Syst. Sci., 16, 345–356, https://doi.org/10.5194/hess-16-345-2012, https://doi.org/10.5194/hess-16-345-2012, 2012
H. Hidayat, B. Vermeulen, M. G. Sassi, P. J. J. F. Torfs, and A. J. F. Hoitink
Hydrol. Earth Syst. Sci., 15, 2717–2728, https://doi.org/10.5194/hess-15-2717-2011, https://doi.org/10.5194/hess-15-2717-2011, 2011
R. Bhamjee and J. B. Lindsay
Hydrol. Earth Syst. Sci., 15, 1009–1021, https://doi.org/10.5194/hess-15-1009-2011, https://doi.org/10.5194/hess-15-1009-2011, 2011
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Short summary
Citizens can contribute to science by providing data, analysing them and as such contributing to decision-making processes. For example, citizens have collected water levels from gauges, which are important when simulating/forecasting floods, where data are usually scarce. This study reviewed such contributions and concluded that integration of citizen data may not be easy due to their spatio-temporal characteristics but that citizen data still proved valuable and can be used in flood modelling.
Citizens can contribute to science by providing data, analysing them and as such contributing to...
