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Impacts of Climate Change on Water Resources and Water Risks, 3rd Edition

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

Deadline for manuscript submissions: 30 June 2026 | Viewed by 953

Special Issue Editors


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Guest Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, China
Interests: drought monitor; drought index; drought simulation; remote sensing; satellite precipitation; precipitation downscaling; flood
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Guest Editor
General Institute of Water Resources and Hydropower Planning and Design, Beijing, China
Interests: hydrogeology; numerical modelling in geotechnical engineering; ground water simulation; water resource management
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Guest Editor
School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Interests: drought assessment; drought monitoring; drought propagation; remote sensing; extreme precipitation
Special Issues, Collections and Topics in MDPI journals
Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Interests: climate change; water resources; adaptation; remote sensing; cryosphere
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Interests: debris flow risk modeling; numerical simulation; machine learning; dam safety assessment; computer vision

Special Issue Information

Dear Colleagues,

Water resources are crucial for the health of ecosystems and social and economic development. Climate change has accelerated the heterogeneity of the spatiotemporal distribution of water resources, increasing the probability of extreme events and resulting in more water disasters and threats. According to the plausible future scenarios for climate change outlined in the IPCC Report 2022, if global warming transiently exceeds 1.5 °C in the coming decades, humans and ecosystems will face additional severe risks. Notably, extreme precipitation and heatwaves can exacerbate water risks, including floods and droughts. Considerable efforts have been made to develop advanced remote sensing and other innovative approaches to monitor relevant variables, such as precipitation, runoff, evaporation, soil moisture, and groundwater. Various hydrological models are being developed to understand hydrological processes and to quantify their responses to climate change and human activities. Machine learning and deep learning methods are also increasingly being used to facilitate water research. However, accurately quantifying and predicting the impact of climate change on water resources and water risk still needs further study.

This Special Issue aims to gather contributions of the latest scientific research on the impact of climate change on water resources and water risks. This Special Issue will encompass a broad spectrum of topics, including, but not limited to:

  • Climate change impact assessment;
  • Satellite hydrometeorological monitoring;
  • Hydrological modeling;
  • Drought monitoring;
  • Flood simulation and flood risk evaluation;
  • New technologies and approaches for water resources and water risks.

Prof. Dr. Haibo Yang
Dr. Fei Chen
Dr. Fei Wang
Dr. Yuyan Zhou
Dr. Xiaosong Shu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate change
  • water resource management
  • drought
  • flood
  • remote sensing

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Published Papers (1 paper)

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Research

20 pages, 4928 KB  
Article
The Impact of Catastrophic Flooding on Nitrogen Sources Composition in an Intensively Human-Impacted Lake: A Case Study of Baiyangdian Lake
by Yan Zhang, Xianglong Hou, Lingyao Meng, Yunxia Wang, Shaopeng Ma and Jiansheng Cao
Water 2025, 17(22), 3309; https://doi.org/10.3390/w17223309 - 19 Nov 2025
Viewed by 469
Abstract
Urban development and intensive human activities have led to increasingly prominent nitrogen pollution issues in the Baiyangdian Lake basin. Accurately identifying the sources of nitrate pollution is a crucial prerequisite for implementing targeted remediation strategies, while flooding further complicates this task by exacerbating [...] Read more.
Urban development and intensive human activities have led to increasingly prominent nitrogen pollution issues in the Baiyangdian Lake basin. Accurately identifying the sources of nitrate pollution is a crucial prerequisite for implementing targeted remediation strategies, while flooding further complicates this task by exacerbating the transport and mixing of multi-source pollutants within the basin. This study, conducted from August to October 2023 (encompassing flood and post-flood periods), established 20 sampling sites in the lake area and its major inflow rivers. By integrating hydrochemical parameters, nitrate dual-isotope tracers (δ15N-NO3 and δ18O-NO3), and the Bayesian mixing model (MixSIAR), we quantitatively revealed the contributions of nitrate sources and their response mechanisms to a major flood event. The results indicate that domestic sewage and livestock wastewater (Manure & Sewage, MS) were the dominant sources of nitrate, with an average contribution of 84.0%, which further increased to 90.3% after the flood. Soil nitrogen was a secondary source (average 12.3%), while contributions from chemical fertilizers and atmospheric deposition were negligible (<4%). The results quantified a flood-driven dynamic response process of the nitrate source structure, characterized by “dilution-mixing-pollution rebound-process transformation”: the initial flood stage (August) showed multi-source mixing; the post-flood period (September) witnessed a rapid rebound of sewage sources; and during the October, nitrification persisted, but the basin’s overall denitrification capacity was limited, indicating a risk of nitrogen accumulation. Spatially, rivers like the Fu River were identified as key input pathways. This study revises the traditional understanding by emphasizing the absolute dominance of sewage sources after extreme hydrological events and the risk of insufficient denitrification capacity. The findings provide a scientific basis for water quality management in Baiyangdian and similar lakes. Full article
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