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Watershed Hydrology and Management Under Changing Climate, 2nd Edition

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (20 April 2026) | Viewed by 1808

Special Issue Editors


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Guest Editor
1. School of Water and Environment, Chang’an University, Xi’an 710054, China
2. Key Laboratory of Eco-Hydrology and Water Security in Arid and Semi-Arid Regions of the Ministry of Water Resources, Chang’an University, Xi’an 710054, China
3. Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang’an University, Xi’an 710054, China
Interests: watershed hydrology; water resources allocation; drought assessment; flood simulation; climate change; land-use and land-cover change; reservior regulation
Special Issues, Collections and Topics in MDPI journals
1. School of Water and Environment, Chang’an University, Xi’an 710054, China
2. Key Laboratory of Eco-Hydrology and Water Security in Arid and Semi-Arid Regions of the Ministry of Water Resources, Chang’an University, Xi’an 710054, China
Interests: water-energy-food nexus; water resources allocation; water-carbon coupling; ecological restoration; sustainable resources utilization

Special Issue Information

Dear Colleagues,

Over the last 20 years, global climate change and the underlying surface changes have worsened. The basin's hydrological process has shown some concerning traits, such as non-stationarity, spatial heterogeneity, and interactive complexity, especially when human activities are taken into account. These characteristics have led to responsive changes in the ecohydrological process, the interaction process of surface water and groundwater, the spatiotemporal evolution process of drought and flood events, and the harmony between humans and water in the basin. This will surely present major challenges to water-related hazard prevention, hydrological modeling and forecasting, and the sustainable management of water resources under a changing climate. To solve these problems and encourage both harmony between humans and water and the high-quality growth of watersheds, scientists need to learn more about the hydrological changes that are happening in watersheds as a result of climate change and identify with better adaptive ways to deal with and manage them.

This special Issue seeks contributions involving innovative methodologies or relevant case studies addressing cutting-edge challenges in watershed management, eco-hydrology, and climate adaptation. Topics include, but are not limited to, the following:

(1) Comprehensive responses of watershed hydrological processes to climate change and underlying surface changes;

(2) Novel methodology for watershed hydrological modeling and forecasting;

(3) New insights for watershed ecohydrological processes and environmental flow management;

(4) Efficient strategies for watershed drought and flood risk management;

(5) Watershed socio-hydrology and new approaches for improving harmony between humans and water;

(6) Adaptive watershed water resources management and digital watershed system construction;

(7) Integrated assessment and dynamic coupling mechanisms of watershed water–energy–food–ecology (WEFE) systems;

(8) Realization of ecological benefits and ecological product value of water and soil conservation in small watersheds.

Prof. Dr. Hongbo Zhang
Dr. Jie Yang
Guest Editors

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Keywords

  • climate change
  • hydrology modeling and forecasting
  • hydrological connectivity
  • groundwater–surface water inter-action
  • ecohydrology
  • socio-hydrology
  • digital watershed
  • environmental flow
  • drought and flood risk management
  • integrated water resources management

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Related Special Issue

Published Papers (3 papers)

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Research

24 pages, 23206 KB  
Article
Identification and Spatiotemporal Evolution of Drought–Flood Abrupt Alternation Events in the Yellow River Basin Based on Standardized Precipitation Evapotranspiration Index (SPEI)
by Heng Xiao, Huiru Su, Wentao Cai, Xiuyu Zhang and Chen Lu
Water 2026, 18(9), 1053; https://doi.org/10.3390/w18091053 - 29 Apr 2026
Abstract
This study proposes a quantitative identification method for drought–flood abrupt alternation (DFAA) events in the Yellow River Basin (YRB) based on the daily standardized precipitation evapotranspiration index (SPEI) data from 1982 to 2021 and analyzes their spatiotemporal evolution characteristics. The results show that [...] Read more.
This study proposes a quantitative identification method for drought–flood abrupt alternation (DFAA) events in the Yellow River Basin (YRB) based on the daily standardized precipitation evapotranspiration index (SPEI) data from 1982 to 2021 and analyzes their spatiotemporal evolution characteristics. The results show that the proposed identification method has good applicability and agrees well with historical records. Grid-scale DFAA events showed an overall slowly increasing trend in occurrence frequency. The mean occurrence frequency, mean duration, and mean intensity were 0.67 events, 30.57 d, and 1.45, respectively. The mean occurrence frequency had a pattern of being higher in the middle and lower reaches and lower in the upper reaches, whereas the mean intensity had a pattern of being higher in the west than in the east and higher in the south than in the north. A total of 16 DFAA events were identified in the YRB, with a mean annual occurrence frequency of 0.4 events per year and an increasing trend across decades. The mean total duration of these events was 31.81 d, and the intensity ranged from 0.96 to 1.79. DFAA events were generally less frequent in the upper reaches and more frequent in the middle and lower reaches and the inland-drainage area. For the level-II water resource subregions, Hekouzhen–Longmen (Subregion IV), Sanmenxia–Huayuankou (Subregion VI), the area below Huayuankou (Subregion VII), and the inland-drainage area (Subregion VIII) had higher occurrence frequencies and larger fluctuations in duration. These findings could provide a scientific reference for flood control, drought relief, and disaster risk management in the YRB. Full article
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21 pages, 3489 KB  
Article
A Novel Reservoir Ensemble Forecasting Method Based on Constrained Multi-Model Weight Optimization
by Yinuo Gao, Xu Yang and Shuai Zhou
Water 2026, 18(3), 327; https://doi.org/10.3390/w18030327 - 28 Jan 2026
Viewed by 405
Abstract
Accurate runoff forecasting is vital yet challenged by the increasing non-stationarity of hydrological systems, which often exceeds the capacity of traditional single models. Ensemble forecasting, as an effective approach, integrates multiple models’ information to enhance forecasting performance and assess uncertainty. However, existing methods [...] Read more.
Accurate runoff forecasting is vital yet challenged by the increasing non-stationarity of hydrological systems, which often exceeds the capacity of traditional single models. Ensemble forecasting, as an effective approach, integrates multiple models’ information to enhance forecasting performance and assess uncertainty. However, existing methods (such as Bayesian Model Averaging and BMA) still have limitations in dealing with complex hydrological scenarios, particularly in the construction and optimization of forecast intervals. This paper proposes a novel hydrological ensemble interval forecasting method based on constrained multi-model weight optimization (Constrained Multi-Model Weight Optimization, CMWO). CMWO utilizes a set of heterogeneous deterministic models to generate members, assigns dynamic optimization weight intervals to enhance flexibility, and employs a multi-objective framework to minimize interval width and errors subject to a ≥95% coverage constraint. Taking the Huangjinxia Reservoir in the upper reaches of the Hanjiang River as a case study, the CMWO method was systematically applied and evaluated for decadal-scale runoff forecasting and comprehensively compared with widely used BMA methods and individual models. The results show that CMWO significantly outperforms in improving point forecast accuracy (measured by RMSE, KGE, etc.) and interval forecast quality (evaluated by PICP, PIAW, CRPS, etc.), especially in generating narrower, more informative prediction intervals while ensuring high reliability. The CMWO method proposed in this study provides a competitive new tool for the effective management of forecasting uncertainty in complex hydrological systems. Full article
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31 pages, 16955 KB  
Article
Uncertainty Assessment of the Impacts of Climate Change on Streamflow in the Iznik Lake Watershed, Türkiye
by Anıl Çalışkan Tezel, Adem Akpınar, Aslı Bor and Şebnem Elçi
Water 2026, 18(2), 187; https://doi.org/10.3390/w18020187 - 10 Jan 2026
Viewed by 848
Abstract
Study region: This study focused on the Iznik Lake Watershed in northwestern Türkiye. Study focus: Climate change is increasingly affecting water resources worldwide, raising concerns about future hydrological sustainability. This study investigates the impacts of climate change on river streamflow in [...] Read more.
Study region: This study focused on the Iznik Lake Watershed in northwestern Türkiye. Study focus: Climate change is increasingly affecting water resources worldwide, raising concerns about future hydrological sustainability. This study investigates the impacts of climate change on river streamflow in the Iznik Lake Watershed, a critical freshwater resource in northwestern Türkiye. To capture possible future conditions, downscaled climate projections were integrated with the SWAT+ hydrological model. Recognizing the inherent uncertainties in climate models and model parameterization, the analysis examined the relative influence of climate realizations, emission scenarios, and hydrological parameters on streamflow outputs. By quantifying both the magnitude of climate-induced changes and the contribution of different sources of uncertainty, the study provides insights that can guide decision-makers in future management planning and be useful for forthcoming modeling efforts. New hydrological insights for the region: Projections indicate wetter winters and springs but drier summers, with an overall warming trend in the study area. Based on simulations driven by four representative grid points, the results at the Karadere station, which represents the main inflow of the watershed, indicate modest changes in mean annual streamflow, ranging from −7% to +56% in the near future and from +19% to +54% in the far future. Maximum flows (Qmax) exhibit notable increases, ranging from +0.9% to +47% in the near future and from +21% to +63% in the far future, indicating a tendency toward higher peak discharges under future climate conditions. Low-flow conditions, especially in summer, exhibit the greatest relative variability due to near-zero baseline discharges. Relative change analysis revealed considerable differences in Karadere and Findicak sub-catchments, reflecting heterogeneous hydrological responses even within the same basin. Uncertainty analysis, conducted using both an ANOVA-based approach and Bayesian Model Averaging (BMA), highlighted the dominant influence of climate projections and potential evapotranspiration calculation methods, while land use change contributed negligibly to overall uncertainty. Full article
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