Hydrological Modeling of Climate Change Impact

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

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 2884

Special Issue Editors


E-Mail Website
Guest Editor
College of Hydrology and Water Resources, Hohai University, Nanjing, China
Interests: hydrology; hydrological modeling; climate change; snow hydrology; flood

E-Mail Website
Guest Editor
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China
Interests: hydrology; hydrological modeling; flood forecasting; water resource

Special Issue Information

Dear Colleagues,

The climate and hydrological cycle are intimately linked. Studies show that the hydrological cycle has been intensifying and will continue to intensify as the planet warms; therefore, more wet and dry extreme events are being observed globally. These extreme events can have further adverse impacts on flood prevention, food security, human health, etc. To better mitigate climate change, more efforts are needed to study and understand the underlying mechanisms linking climate change and the hydrological cycle using new datasets, numerical models and statistical approaches.

This Special Issue is dedicated to “Hydrological Modeling of Climate Change Impact” and welcomes up-to-date research. We are seeking papers focusing on understanding, modeling and mitigating the impacts of climate change on the hydrological cycle in both natural and urban areas.

All related manuscripts are welcome. Topics of interest include, but are not limited to, the following: quantitative and qualitative analyses of the impact of climate change on the hydrological cycle; datasets developed for understanding the effects of climate change on the hydrological cycle; new model or parameterizations for hydrological modeling under climate change.

Dr. Yuanhao Fang
Prof. Dr. Xingnan Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • climate change
  • hydrological cycle
  • extreme events
  • flood
  • drought
  • hydrological modeling

Published Papers (1 paper)

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Research

20 pages, 5276 KiB  
Article
Impact of Climate Change on the Hydrological Regimes of the Midstream Section of the Yarlung Tsangpo River Basin Based on SWAT Model
by Yao Chen, Li Wang, Xiaonan Shi, Chen Zeng, Yuchun Wang, Guanxing Wang, Cicheng Qiangba, Caiyun Yue, Zugang Sun, Ouzhu Renzeng and Fan Zhang
Water 2023, 15(4), 685; https://doi.org/10.3390/w15040685 - 9 Feb 2023
Cited by 3 | Viewed by 1922
Abstract
Water resources and the water cycle in high mountain areas are significantly impacted by climate change. In this study, the midstream section of the Yarlung Tsangpo River basin, situated in the southern part of the Tibetan Plateau, was chosen as the target area, [...] Read more.
Water resources and the water cycle in high mountain areas are significantly impacted by climate change. In this study, the midstream section of the Yarlung Tsangpo River basin, situated in the southern part of the Tibetan Plateau, was chosen as the target area, and the Soil Water Assessment Tool (SWAT) was used to assess how climate change may affect hydrological processes. The SWAT model proved effective for runoff and snow cover area simulation. Surface runoff, interflow, and groundwater accounted for 47.2%, 24.4%, and 28.4% of the total runoff, respectively. The spatial distribution of runoff was mainly influenced by precipitation and glacier distribution, whereas the spatial distributions of individual runoff components were mainly influenced by soil properties. Overall, the total runoff as well as its components (surface runoff, interflow, and groundwater) increased at a rate of 0.03–0.83%/10 yr (p > 0.05) in the study area during 1983–2017, which could be attributed to the increase in precipitation. Surface runoff peaked earlier (August) than interflow and groundwater (September), owing to the longer convergence time of interflow and groundwater. Future predictions showed a warming and wetting trend (p < 0.05) in the study area from 2020 to 2100 under the SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios. The total runoff was projected to increase at a rate of 0.92–3.56%/10 yr, and the change of total runoff mainly came from the increase of surface runoff. Full article
(This article belongs to the Special Issue Hydrological Modeling of Climate Change Impact)
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