Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-387-2021
© 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-25-387-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Optimal water use strategies for mitigating high urban temperatures
Bin Liu
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
School of Software Engineering, Chengdu University of Information
Technology, Chengdu, China
University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Shuang Liu
Key Laboratory of Mountain Hazards and Earth Surface Processes,
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences,
Chengdu, China
Yujing Zeng
Program in Atmospheric and Oceanic Sciences, Princeton University,
Princeton, New Jersey, USA
Ruichao Li
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Longhuan Wang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Binghao Jia
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Peihua Qin
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Si Chen
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Jinbo Xie
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
ChunXiang Shi
National Meteorological Information Center, China Meteorological
Administration, Beijing, China
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Longhuan Wang, Zhenghui Xie, Binghao Jia, Jinbo Xie, Yan Wang, Bin Liu, Ruichao Li, and Si Chen
Earth Syst. Dynam., 10, 599–615, https://doi.org/10.5194/esd-10-599-2019, https://doi.org/10.5194/esd-10-599-2019, 2019
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We quantify the contributions of climate change and groundwater extraction to the trends in soil moisture through two groups of simulations. In summary, climate change dominates the soil moisture trends, while GW extraction accelerates or decelerates soil moisture trends under climate change. This work will improve our understanding of how human activities affect soil water content and will help to determine the mechanisms underlying the global water cycle.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-382, https://doi.org/10.5194/essd-2024-382, 2024
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After reviewing 2,519 literature and media reports, we compiled the first comprehensive global dataset of 555 debris flow barrier dams (DFBDs) from 1800 to 2023. Our dataset meticulously documents 36 attributes of DFBDs, and we have utilized Google Earth for validation. Additionally, we discussed the applicability of landslide dam stability and peak discharge models to DFBDs. This dataset offers a rich foundation of data for future studies on DFBDs.
Jinbo Xie, Qi Tang, Michael Prather, Jadwiga Richter, and Shixuan Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2024-1927, https://doi.org/10.5194/egusphere-2024-1927, 2024
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Analysis of the interaction between the climate and ozone in the stratosphere is complicated by the in-ability climate model in simulating the Quasi-Biennial Oscillation (QBO) – an important climate mode in the stratosphere. We use a set of model simulation that realistically simulate QBO and a novel ozone diagnostic tool to separate the temperature and circulation-driven QBO impact. These are important for diagnosing model-model differences in the QBO-ozone responses for climate projections.
Kaiheng Hu, Manish Raj Gouli, Hao Li, Yong Nie, Yifan Shu, Shuang Liu, Pu Li, and Xiaopeng Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2024-884, https://doi.org/10.5194/egusphere-2024-884, 2024
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An integrated approach comprising a field survey, remote sensing, and hydrodynamic modeling was applied to investigate the Rijieco Glacial Lake Outburst Flood (GLOF) in 1991. The flood caused devastating ecological consequences, like sedimentation and the expansion of an inland lake, which has not yet recovered after three decades. The results help understand the ecological impacts of outburst floods on the Tibetan inland lake system and make future flood hazard assessments more robust.
Kaiheng Hu, Hao Li, Shuang Liu, Li Wei, Xiaopeng Zhang, Limin Zhang, Bo Zhang, and Manish Raj Gouli
EGUsphere, https://doi.org/10.5194/egusphere-2024-312, https://doi.org/10.5194/egusphere-2024-312, 2024
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This paper shows how glacier-related sediment supply changes in response to earthquakes and climate warming at a catchment in the eastern Himalayas using several decades of aerial imagery and high-resolution UAV data. The results highlight the importance of debris-flow-driven extreme sediment delivery on landscape change in High Mountain Asia that have undergone substantial climate warming. This study is helpful for a better understanding of future risk of periglacial debris flows.
Yanbin You, Zhenghui Xie, Binghao Jia, Yan Wang, Longhuan Wang, Ruichao Li, Heng Yan, Yuhang Tian, and Si Chen
Earth Syst. Dynam., 14, 897–914, https://doi.org/10.5194/esd-14-897-2023, https://doi.org/10.5194/esd-14-897-2023, 2023
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We investigate the impacts of anthropogenic water regulation on riverine DOC transport by the developed model. The results suggested that DOC transport in most rivers was mainly influenced by reservoir interception and surface water withdrawal. The impact of human water regulation on riverine DOC exports grew year by year. In general, this study developed an effective scheme to simulate DOC exports from terrestrial to aquatic systems, which is important for estimating global carbon budgets.
Si Chen, Zhenghui Xie, Jinbo Xie, Bin Liu, Binghao Jia, Peihua Qin, Longhuan Wang, Yan Wang, and Ruichao Li
Earth Syst. Dynam., 13, 341–356, https://doi.org/10.5194/esd-13-341-2022, https://doi.org/10.5194/esd-13-341-2022, 2022
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This study discusses the changes in the summer thermal environment in the Chengdu–Chongqing urban agglomeration due to urban expansion in complex terrain conditions in the recent 40 years, using high-resolution simulations with the WRF model. We quantify the influence of a single urban expansion factor and a single complex terrain factor on the urban thermal environment. Under the joint influence of complex terrain and urban expansion, the heat island effect caused by urbanization was enhanced.
Yongkang Xue, Tandong Yao, Aaron A. Boone, Ismaila Diallo, Ye Liu, Xubin Zeng, William K. M. Lau, Shiori Sugimoto, Qi Tang, Xiaoduo Pan, Peter J. van Oevelen, Daniel Klocke, Myung-Seo Koo, Tomonori Sato, Zhaohui Lin, Yuhei Takaya, Constantin Ardilouze, Stefano Materia, Subodh K. Saha, Retish Senan, Tetsu Nakamura, Hailan Wang, Jing Yang, Hongliang Zhang, Mei Zhao, Xin-Zhong Liang, J. David Neelin, Frederic Vitart, Xin Li, Ping Zhao, Chunxiang Shi, Weidong Guo, Jianping Tang, Miao Yu, Yun Qian, Samuel S. P. Shen, Yang Zhang, Kun Yang, Ruby Leung, Yuan Qiu, Daniele Peano, Xin Qi, Yanling Zhan, Michael A. Brunke, Sin Chan Chou, Michael Ek, Tianyi Fan, Hong Guan, Hai Lin, Shunlin Liang, Helin Wei, Shaocheng Xie, Haoran Xu, Weiping Li, Xueli Shi, Paulo Nobre, Yan Pan, Yi Qin, Jeff Dozier, Craig R. Ferguson, Gianpaolo Balsamo, Qing Bao, Jinming Feng, Jinkyu Hong, Songyou Hong, Huilin Huang, Duoying Ji, Zhenming Ji, Shichang Kang, Yanluan Lin, Weiguang Liu, Ryan Muncaster, Patricia de Rosnay, Hiroshi G. Takahashi, Guiling Wang, Shuyu Wang, Weicai Wang, Xu Zhou, and Yuejian Zhu
Geosci. Model Dev., 14, 4465–4494, https://doi.org/10.5194/gmd-14-4465-2021, https://doi.org/10.5194/gmd-14-4465-2021, 2021
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The subseasonal prediction of extreme hydroclimate events such as droughts/floods has remained stubbornly low for years. This paper presents a new international initiative which, for the first time, introduces spring land surface temperature anomalies over high mountains to improve precipitation prediction through remote effects of land–atmosphere interactions. More than 40 institutions worldwide are participating in this effort. The experimental protocol and preliminary results are presented.
Binghao Jia, Xin Luo, Ximing Cai, Atul Jain, Deborah N. Huntzinger, Zhenghui Xie, Ning Zeng, Jiafu Mao, Xiaoying Shi, Akihiko Ito, Yaxing Wei, Hanqin Tian, Benjamin Poulter, Dan Hayes, and Kevin Schaefer
Earth Syst. Dynam., 11, 235–249, https://doi.org/10.5194/esd-11-235-2020, https://doi.org/10.5194/esd-11-235-2020, 2020
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We quantitatively examined the relative contributions of climate change, land
use and land cover change, and elevated CO2 to interannual variations and seasonal cycle amplitude of gross primary productivity (GPP) in China based on multi-model ensemble simulations. The contributions of major subregions to the temporal change in China's total GPP are also presented. This work may help us better understand GPP spatiotemporal patterns and their responses to regional changes and human activities.
Bin Yao, Chao Liu, Yan Yin, Zhiquan Liu, Chunxiang Shi, Hironobu Iwabuchi, and Fuzhong Weng
Atmos. Meas. Tech., 13, 1033–1049, https://doi.org/10.5194/amt-13-1033-2020, https://doi.org/10.5194/amt-13-1033-2020, 2020
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Due to the complex spatiotemporal and physical properties of clouds, their quantitative depictions in different atmospheric reanalysis datasets are still highly uncertain. A radiance-based evaluation approach is developed to evaluate the quality of cloud properties by directly comparing them with satellite radiance observations. ERA5 and CRA are found to have great capability in representing the cloudy atmosphere over East Asia, and MERRA-2 tends to slightly overestimate clouds over the region.
Longhuan Wang, Zhenghui Xie, Binghao Jia, Jinbo Xie, Yan Wang, Bin Liu, Ruichao Li, and Si Chen
Earth Syst. Dynam., 10, 599–615, https://doi.org/10.5194/esd-10-599-2019, https://doi.org/10.5194/esd-10-599-2019, 2019
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We quantify the contributions of climate change and groundwater extraction to the trends in soil moisture through two groups of simulations. In summary, climate change dominates the soil moisture trends, while GW extraction accelerates or decelerates soil moisture trends under climate change. This work will improve our understanding of how human activities affect soil water content and will help to determine the mechanisms underlying the global water cycle.
Yun Liu, Eugenia Kalnay, Ning Zeng, Ghassem Asrar, Zhaohui Chen, and Binghao Jia
Geosci. Model Dev., 12, 2899–2914, https://doi.org/10.5194/gmd-12-2899-2019, https://doi.org/10.5194/gmd-12-2899-2019, 2019
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We developed a new carbon data assimilation system to estimate the surface carbon fluxes using the LETKF and GEOS-Chem model, which uses a new scheme with a short
assimilation windowand a long
observation window. The analysis is more accurate using the short assimilation window and is exposed to the future observations that accelerate the spin-up. In OSSE, the system reduces the analysis error significantly, suggesting that this method could be used for other data assimilation problems.
Yun Liu, Eugenia Kalnay, Ning Zeng, Ghassem Asrar, Zhaohui Chen, and Binghao Jia
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-888, https://doi.org/10.5194/acp-2017-888, 2017
Preprint withdrawn
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We developed a new Carbon data assimilation system to estimate the surface carbon fluxes using the LETKF and GEOS-Chem model, which uses a new scheme with a short
assimilation windowand a long
observation window. The analysis is more accurate with the short assimilation window and is exposed to the future observations accelerating the spin up. In OSSE, the system reduces significantly the analysis error, suggesting that this method could be used in other data assimilation problems.
Yujin Zeng, Zhenghui Xie, and Shuang Liu
Earth Syst. Dynam., 8, 113–127, https://doi.org/10.5194/esd-8-113-2017, https://doi.org/10.5194/esd-8-113-2017, 2017
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Irrigation constitutes 70 % of human water consumption. In this study, using the improved CLM4.5 with an active crop model, two 1 km simulations investigating the effects of irrigation on latent heat, sensible heat, and carbon fluxes in the Heihe River basin in northwestern China were conducted using a high-quality irrigation dataset compiled from 1981 to 2013. The results revealed the key role of irrigation in the control of land–atmosphere water, energy, and carbon fluxes in semiarid basin.
Bart van den Hurk, Hyungjun Kim, Gerhard Krinner, Sonia I. Seneviratne, Chris Derksen, Taikan Oki, Hervé Douville, Jeanne Colin, Agnès Ducharne, Frederique Cheruy, Nicholas Viovy, Michael J. Puma, Yoshihide Wada, Weiping Li, Binghao Jia, Andrea Alessandri, Dave M. Lawrence, Graham P. Weedon, Richard Ellis, Stefan Hagemann, Jiafu Mao, Mark G. Flanner, Matteo Zampieri, Stefano Materia, Rachel M. Law, and Justin Sheffield
Geosci. Model Dev., 9, 2809–2832, https://doi.org/10.5194/gmd-9-2809-2016, https://doi.org/10.5194/gmd-9-2809-2016, 2016
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This manuscript describes the setup of the CMIP6 project Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP).
Yujin Zeng, Zhenghui Xie, Yan Yu, Shuang Liu, Linying Wang, Binghao Jia, Peihua Qin, and Yaning Chen
Hydrol. Earth Syst. Sci., 20, 2333–2352, https://doi.org/10.5194/hess-20-2333-2016, https://doi.org/10.5194/hess-20-2333-2016, 2016
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In arid areas, stream–aquifer water exchange essentially sustains the growth and subsistence of riparian ecosystem. To quantify this effect for intensity and range, a stream–riverbank scheme was incorporated into a state-of-the-art land model, and some runs were set up over Heihe River basin, northwestern China. The results show that the hydrology circle is significantly changed, and the ecological system is benefitted greatly by the river water lateral transfer within a 1 km range to the stream.
B. Jia, J. Liu, and Z. Xie
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-5151-2015, https://doi.org/10.5194/hessd-12-5151-2015, 2015
Manuscript not accepted for further review
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In this work, we investigated the performances of a microwave-based merging satellite product (ECV-SM) and the CLM4.5 simulation in China using twenty years of in situ soil moisture observations from 308 stations. CLM4.5 produces better temporal variation of surface soil moisture; ECV-SM has a low bias, but shows a weak correlation; ECV-SM is more likely to be superior in semi-arid regions.
X. Tian, Z. Xie, Y. Liu, Z. Cai, Y. Fu, H. Zhang, and L. Feng
Atmos. Chem. Phys., 14, 13281–13293, https://doi.org/10.5194/acp-14-13281-2014, https://doi.org/10.5194/acp-14-13281-2014, 2014
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A new carbon cycle data assimilation system (Tan-Tracker) is developed based on an advanced hybrid assimilation approach, as a part of the preparation for the launch of the Chinese carbon dioxide observation satellite (TanSat). Tan-Tracker adopts a joint data assimilation framework to simultaneously estimate CO2 concentrations and CFs and thus gradually reduce the uncertainty in the CO2 concentration evolution through continuously fitting model CO2 concentration simulations to the observations.
J.-G. Liu and Z.-H. Xie
Hydrol. Earth Syst. Sci., 17, 3355–3369, https://doi.org/10.5194/hess-17-3355-2013, https://doi.org/10.5194/hess-17-3355-2013, 2013
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Mathematical applications
Synthesis of historical reservoir operations from 1980 to 2020 for the evaluation of reservoir representation in large-scale hydrologic models
A Bayesian model for quantifying errors in citizen science data: application to rainfall observations from Nepal
A novel objective function DYNO for automatic multivariable calibration of 3D lake models
The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought
Decreased virtual water outflows from the Yellow River basin are increasingly critical to China
AI-based techniques for multi-step streamflow forecasts: application for multi-objective reservoir operation optimization and performance assessment
Physical versus economic water footprints in crop production: a spatial and temporal analysis for China
Development of a revised method for indicators of hydrologic alteration for analyzing the cumulative impacts of cascading reservoirs on flow regime
Changing global cropping patterns to minimize national blue water scarcity
Climate change impacts on the Water Highway project in Morocco
HESS Opinions: How should a future water census address consumptive use? (And where can we substitute withdrawal data while we wait?)
Complex relationship between seasonal streamflow forecast skill and value in reservoir operations
Water footprint of crop production for different crop structures in the Hebei southern plain, North China
Benchmark levels for the consumptive water footprint of crop production for different environmental conditions: a case study for winter wheat in China
Technical note: Multiple wavelet coherence for untangling scale-specific and localized multivariate relationships in geosciences
Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
The question of Sudan: a hydro-economic optimization model for the Sudanese Blue Nile
Evolution of the human–water relationships in the Heihe River basin in the past 2000 years
A dynamic water accounting framework based on marginal resource opportunity cost
Climate change and non-stationary flood risk for the upper Truckee River basin
Determining regional limits and sectoral constraints for water use
China's water sustainability in the 21st century: a climate-informed water risk assessment covering multi-sector water demands
Recent evolution of China's virtual water trade: analysis of selected crops and considerations for policy
Assessing water reservoirs management and development in Northern Vietnam
A framework for the quantitative assessment of climate change impacts on water-related activities at the basin scale
Jennie C. Steyaert and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 1071–1088, https://doi.org/10.5194/hess-28-1071-2024, https://doi.org/10.5194/hess-28-1071-2024, 2024
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Reservoirs impact all river systems in the United States, yet their operations are difficult to quantify due to limited data. Using historical reservoir operations, we find that storage has declined over the past 40 years, with clear regional differences. We observe that active storage ranges are increasing in arid regions and decreasing in humid regions. By evaluating reservoir model assumptions, we find that they may miss out on seasonal dynamics and can underestimate storage.
Jessica A. Eisma, Gerrit Schoups, Jeffrey C. Davids, and Nick van de Giesen
Hydrol. Earth Syst. Sci., 27, 3565–3579, https://doi.org/10.5194/hess-27-3565-2023, https://doi.org/10.5194/hess-27-3565-2023, 2023
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Citizen scientists often submit high-quality data, but a robust method for assessing data quality is needed. This study develops a semi-automated program that characterizes the mistakes made by citizen scientists by grouping them into communities of citizen scientists with similar mistake tendencies and flags potentially erroneous data for further review. This work may help citizen science programs assess the quality of their data and can inform training practices.
Wei Xia, Taimoor Akhtar, and Christine A. Shoemaker
Hydrol. Earth Syst. Sci., 26, 3651–3671, https://doi.org/10.5194/hess-26-3651-2022, https://doi.org/10.5194/hess-26-3651-2022, 2022
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The common practice of calibrating lake hydrodynamic models only to temperature data is shown to be unable to reproduce the flow dynamics well. We proposed a new dynamically normalized objective function (DYNO) for multivariable calibration to be used with parallel or serial optimization methods. DYNO is successfully applied to simultaneously calibrate the temperature and velocity of a 3-dimensional tropical lake model.
William Rust, John P. Bloomfield, Mark Cuthbert, Ron Corstanje, and Ian Holman
Hydrol. Earth Syst. Sci., 26, 2449–2467, https://doi.org/10.5194/hess-26-2449-2022, https://doi.org/10.5194/hess-26-2449-2022, 2022
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We highlight the importance of the North Atlantic Oscillation in controlling droughts in the UK. Specifically, multi-year cycles in the NAO are shown to influence the frequency of droughts and this influence changes considerably over time. We show that the influence of these varying controls is similar to the projected effects of climate change on water resources. We also show that these time-varying behaviours have important implications for water resource forecasts used for drought planning.
Shuang Song, Shuai Wang, Xutong Wu, Yongyuan Huang, and Bojie Fu
Hydrol. Earth Syst. Sci., 26, 2035–2044, https://doi.org/10.5194/hess-26-2035-2022, https://doi.org/10.5194/hess-26-2035-2022, 2022
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A reasonable assessment of the contribution of the water resources in a river basin to domestic crops supplies will be the first step in balancing the water–food nexus. Our results showed that although the Yellow River basin had reduced its virtual water outflow, its importance to crop production in China had been increasing when water footprint networks were considered. Our complexity-based approach provides a new perspective for understanding changes in a basin with a severe water shortage.
Yuxue Guo, Xinting Yu, Yue-Ping Xu, Hao Chen, Haiting Gu, and Jingkai Xie
Hydrol. Earth Syst. Sci., 25, 5951–5979, https://doi.org/10.5194/hess-25-5951-2021, https://doi.org/10.5194/hess-25-5951-2021, 2021
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We developed an AI-based management methodology to assess forecast quality and forecast-informed reservoir operation performance together due to uncertain inflow forecasts. Results showed that higher forecast performance could lead to improved reservoir operation, while uncertain forecasts were more valuable than deterministic forecasts. Moreover, the relationship between the forecast horizon and reservoir operation was complex and depended on operating configurations and performance measures.
Xi Yang, La Zhuo, Pengxuan Xie, Hongrong Huang, Bianbian Feng, and Pute Wu
Hydrol. Earth Syst. Sci., 25, 169–191, https://doi.org/10.5194/hess-25-169-2021, https://doi.org/10.5194/hess-25-169-2021, 2021
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Maximizing economic benefits with higher water productivity or lower water footprint is the core sustainable goal of agricultural water resources management. Here we look at spatial and temporal variations and developments in both production-based (PWF) and economic value-based (EWF) water footprints of crops, by taking a case study for China. A synergy evaluation index is proposed to further quantitatively evaluate the synergies and trade-offs between PWF and EWF.
Xingyu Zhou, Xiaorong Huang, Hongbin Zhao, and Kai Ma
Hydrol. Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/hess-24-4091-2020, https://doi.org/10.5194/hess-24-4091-2020, 2020
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The main objective of this work is to discuss the cumulative effects on flow regime with the construction of cascade reservoirs. A revised IHA (indicators of hydrologic alteration) method was developed by using a projection pursuit method based on the real-coded accelerated genetic algorithm in this study. Through this method, IHA parameters with a high contribution to hydrological-alteration evaluation could be selected out and given high weight to reduce the redundancy among the IHA metrics.
Hatem Chouchane, Maarten S. Krol, and Arjen Y. Hoekstra
Hydrol. Earth Syst. Sci., 24, 3015–3031, https://doi.org/10.5194/hess-24-3015-2020, https://doi.org/10.5194/hess-24-3015-2020, 2020
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Previous studies on water saving through food trade focussed either on comparing water productivities among countries or on analysing food trade in relation to national water endowments. Here, we consider, for the first time, both differences in water productivities and water endowments to analyse national comparative advantages. Our study reveals that blue water scarcity can be reduced to sustainable levels by changing cropping patterns while maintaining current levels of global production.
Nabil El Moçayd, Suchul Kang, and Elfatih A. B. Eltahir
Hydrol. Earth Syst. Sci., 24, 1467–1483, https://doi.org/10.5194/hess-24-1467-2020, https://doi.org/10.5194/hess-24-1467-2020, 2020
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The present work addresses the impact of climate change on the Water Highway project in Morocco. This project aims to transfer 860 × 106 m3 yr−1 of water from the north to the south. As the project is very sensitive to the availability of water in the northern regions, we evaluate its feasibility under different future climate change scenarios: under a pessimistic climate scenario, the project is infeasible; however, under an optimistic scenario a rescaled version might be feasible.
Benjamin L. Ruddell
Hydrol. Earth Syst. Sci., 22, 5551–5558, https://doi.org/10.5194/hess-22-5551-2018, https://doi.org/10.5194/hess-22-5551-2018, 2018
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We now lack sufficient empirical observations of consumptive use of water by humans and their economy, so it is worth considering what we can do with the withdrawal-based water use data we already possess. Fortunately, a wide range of applied water management and policy questions can be addressed using currently available withdrawal data. This discussion identifies important data collection problems and argues that the withdrawal data we already possess are adequate for some important purposes.
Sean W. D. Turner, James C. Bennett, David E. Robertson, and Stefano Galelli
Hydrol. Earth Syst. Sci., 21, 4841–4859, https://doi.org/10.5194/hess-21-4841-2017, https://doi.org/10.5194/hess-21-4841-2017, 2017
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This study investigates the relationship between skill and value of ensemble seasonal streamflow forecasts. Using data from a modern forecasting system, we show that skilled forecasts are more likely to provide benefits for reservoirs operated to maintain a target water level rather than reservoirs operated to satisfy a target demand. We identify the primary causes for this behaviour and provide specific recommendations for assessing the value of forecasts for reservoirs with supply objectives.
Yingmin Chu, Yanjun Shen, and Zaijian Yuan
Hydrol. Earth Syst. Sci., 21, 3061–3069, https://doi.org/10.5194/hess-21-3061-2017, https://doi.org/10.5194/hess-21-3061-2017, 2017
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In this study, we analyzed the water footprint (WF) of crop production and found winter wheat, summer maize and vegetables were the top water-consuming crops in the Hebei southern plain (HSP). The total WF, WFblue, WFgreen and WFgrey for 13 years (2000–2012) of crop production were 604.8, 288.5, 141.3 and 175.0 km3, respectively, with an annual downtrend from 2000 to 2012. Finally, we evaluated a reasonable farming structure by analyzing scenarios of the main crops' WF.
La Zhuo, Mesfin M. Mekonnen, and Arjen Y. Hoekstra
Hydrol. Earth Syst. Sci., 20, 4547–4559, https://doi.org/10.5194/hess-20-4547-2016, https://doi.org/10.5194/hess-20-4547-2016, 2016
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Benchmarks for the water footprint (WF) of crop production can serve as a reference and be helpful in setting WF reduction targets. The study explores which environmental factors should be distinguished when determining benchmarks for the consumptive (green and blue) WF of crops. Through a case study for winter wheat in China over 1961–2008, we find that when determining benchmark levels for the consumptive WF of a crop, it is most useful to distinguish between different climate zones.
Wei Hu and Bing Cheng Si
Hydrol. Earth Syst. Sci., 20, 3183–3191, https://doi.org/10.5194/hess-20-3183-2016, https://doi.org/10.5194/hess-20-3183-2016, 2016
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Bivariate wavelet coherence has been used to explore scale- and location-specific relationships between two variables. In reality, a process occurring on land surface is usually affected by more than two factors. Therefore, this manuscript is to develop a multiple wavelet coherence method. Results showed that new method outperforms other multivariate methods. Matlab codes for a new method are provided. This method can be widely applied in geosciences where a variable is controlled by many factors.
Julie E. Shortridge, Seth D. Guikema, and Benjamin F. Zaitchik
Hydrol. Earth Syst. Sci., 20, 2611–2628, https://doi.org/10.5194/hess-20-2611-2016, https://doi.org/10.5194/hess-20-2611-2016, 2016
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This paper compares six methods for data-driven rainfall–runoff simulation in terms of predictive accuracy, error structure, interpretability, and uncertainty. We demonstrate that autocorrelation in model errors can result in biased estimates of important values and show how certain model structures can be more easily interpreted to yield insights on physical watershed function. Finally, we explore how model structure can impact uncertainty in climate change sensitivity estimates.
S. Satti, B. Zaitchik, and S. Siddiqui
Hydrol. Earth Syst. Sci., 19, 2275–2293, https://doi.org/10.5194/hess-19-2275-2015, https://doi.org/10.5194/hess-19-2275-2015, 2015
Z. Lu, Y. Wei, H. Xiao, S. Zou, J. Xie, J. Ren, and A. Western
Hydrol. Earth Syst. Sci., 19, 2261–2273, https://doi.org/10.5194/hess-19-2261-2015, https://doi.org/10.5194/hess-19-2261-2015, 2015
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This paper quantitatively analyzed the evolution of human-water relationships in the Heihe River basin over the past 2000 years by reconstructing the catchment water balance. The results provided the basis for investigating the impacts of human societies on hydrological systems. The evolutionary processes of human-water relationships can be divided into four stages: predevelopment, take-off, acceleration, and rebalancing. And the transition of the human-water relationship had no fixed pattern.
A. Tilmant, G. Marques, and Y. Mohamed
Hydrol. Earth Syst. Sci., 19, 1457–1467, https://doi.org/10.5194/hess-19-1457-2015, https://doi.org/10.5194/hess-19-1457-2015, 2015
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As water resources are increasingly used for various purposes, there is a need for a unified framework to describe, quantify and classify water use in a region, be it a catchment, a river basin or a country. This paper presents a novel water accounting framework whereby the contribution of traditional water uses but also storage services are properly considered.
L. E. Condon, S. Gangopadhyay, and T. Pruitt
Hydrol. Earth Syst. Sci., 19, 159–175, https://doi.org/10.5194/hess-19-159-2015, https://doi.org/10.5194/hess-19-159-2015, 2015
T. K. Lissner, C. A. Sullivan, D. E. Reusser, and J. P. Kropp
Hydrol. Earth Syst. Sci., 18, 4039–4052, https://doi.org/10.5194/hess-18-4039-2014, https://doi.org/10.5194/hess-18-4039-2014, 2014
X. Chen, D. Naresh, L. Upmanu, Z. Hao, L. Dong, Q. Ju, J. Wang, and S. Wang
Hydrol. Earth Syst. Sci., 18, 1653–1662, https://doi.org/10.5194/hess-18-1653-2014, https://doi.org/10.5194/hess-18-1653-2014, 2014
J. Shi, J. Liu, and L. Pinter
Hydrol. Earth Syst. Sci., 18, 1349–1357, https://doi.org/10.5194/hess-18-1349-2014, https://doi.org/10.5194/hess-18-1349-2014, 2014
A. Castelletti, F. Pianosi, X. Quach, and R. Soncini-Sessa
Hydrol. Earth Syst. Sci., 16, 189–199, https://doi.org/10.5194/hess-16-189-2012, https://doi.org/10.5194/hess-16-189-2012, 2012
D. Anghileri, F. Pianosi, and R. Soncini-Sessa
Hydrol. Earth Syst. Sci., 15, 2025–2038, https://doi.org/10.5194/hess-15-2025-2011, https://doi.org/10.5194/hess-15-2025-2011, 2011
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Short summary
We implemented both urban water use schemes in a model (Weather Research and Forecasting model) and assessed their cooling effects with different amounts of water in different parts of the city (center, suburbs, and rural areas) for both road sprinkling and urban irrigation by model simulation. Then, we developed an optimization scheme to find out the optimal water use strategies for mitigating high urban temperatures.
We implemented both urban water use schemes in a model (Weather Research and Forecasting model)...