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在水文模拟模型中整合高分辨率土地、气候和基础设施情景的方法。

Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model.

作者信息

Nair Sujithkumar Surendran, McManamay Ryan A, Derolph Christopher R, Allen-Dumas Melissa

机构信息

Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States.

Urban Dynamics Institute Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States.

出版信息

MethodsX. 2019 Oct 16;7:100699. doi: 10.1016/j.mex.2019.10.010. eCollection 2020.

DOI:10.1016/j.mex.2019.10.010
PMID:32300540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7153296/
Abstract

Global alterations of the hydrologic cycle by humans have led to alarming rates of water shortages and irreversible ecosystem change. Our ability to manage water resources lies in accurately modeling water availability at scales meaningful to management. Although hydrologic models have been used to understand the implications of future climate and land cover change on regional water availability, many modeling approaches fail to integrate human infrastructures (HI) with bio-geophysical drivers to facilitate sustainable regional water resource management. This paper presents an integrated framework, inclusive of modeling and data needs, to quantify the effects of both bio-geophysical and HI influence on regional surface water hydrology. The framework enables the integration of high spatial and temporal anthropogenic alterations of water availability for identifying hot-spots and hot-moments of hydrological stresses within individual river-segments using a hydrologic simulation model, Soil and Water Analysis Tool (SWAT). •A high-resolution river network for the study region with a greater spatial granularity compared to contemporary SWAT applications attempted to account for HI.•The anthropogenic influence on water balance for each river segment was estimated using data on human infrastructures, such as water intakes, power production facilities, discharges, dams, and land transformation.

摘要

人类对水文循环的全球性改变已导致水资源短缺的惊人速度和不可逆转的生态系统变化。我们管理水资源的能力在于在对管理有意义的尺度上准确模拟水资源的可利用性。尽管水文模型已被用于理解未来气候和土地覆盖变化对区域水资源可利用性的影响,但许多建模方法未能将人类基础设施(HI)与生物地球物理驱动因素相结合,以促进区域水资源的可持续管理。本文提出了一个综合框架,包括建模和数据需求,以量化生物地球物理和HI对区域地表水文学的影响。该框架能够整合水资源在高空间和时间尺度上的人为改变,以便使用水文模拟模型土壤和水资源分析工具(SWAT)识别各个河段内水文压力的热点和热时刻。•与当代SWAT应用相比,研究区域具有更高空间粒度的高分辨率河网试图考虑HI。•利用取水、发电设施、排放、水坝和土地转换等人类基础设施数据,估算了每个河段对水平衡的人为影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/28e47f4ea2e3/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/360e583e41f4/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/f42ed88168cc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/a3abc46aa30e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/88bac83d8706/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/596fdc691088/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/60ef6aacb334/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/28e47f4ea2e3/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/360e583e41f4/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/f42ed88168cc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/a3abc46aa30e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/88bac83d8706/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/596fdc691088/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/60ef6aacb334/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea3a/7153296/28e47f4ea2e3/gr6.jpg

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本文引用的文献

1
Compounding Impacts of Human-Induced Water Stress and Climate Change on Water Availability.人为水资源压力与气候变化对水资源可获得性的复合影响。
Sci Rep. 2017 Jul 24;7(1):6282. doi: 10.1038/s41598-017-06765-0.
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Water and climate: Recognize anthropogenic drought.水与气候:认识人为干旱。
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Assessment of climate change impacts on hydrology and water quality with a watershed modeling approach.采用流域模型方法评估气候变化对水文和水质的影响。
Sci Total Environ. 2013 Apr 15;450-451:72-82. doi: 10.1016/j.scitotenv.2013.02.004. Epub 2013 Mar 1.
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Water quantity and quality optimization modeling of dams operation based on SWAT in Wenyu River Catchment, China.基于 SWAT 的中国文峪河流域大坝运行的水量水质优化建模。
Environ Monit Assess. 2011 Feb;173(1-4):409-30. doi: 10.1007/s10661-010-1396-5. Epub 2010 Mar 17.