中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identification of watershed priority management areas based on landscape positions: An implementation using SWAT

文献类型:期刊论文

作者Wu, Tong; Zhu, Liang-Jun; Shen, Shen; Zhu, A-Xing; Shi, Mingchang2; Qin, Cheng Zhi5,6,7
刊名JOURNAL OF HYDROLOGY
出版日期2023-04-01
卷号619
ISSN号1879-2707
关键词Priority management areas Landscape positions Spatial units Pollutant load contribution Best management practices SWAT plus
DOI10.1016/j.jhydrol.2023.129281
文献子类Article
英文摘要The priority management areas (PMAs) of a watershed are areas with high contributions to the pollutant load to the assessment outlet, such as the watershed outlet, and, thus, have high priority in the decision making for comprehensive watershed management. Existing spatial units used to identify PMAs are commonly based on three concepts including subbasins, artificial geographic entities, and grid cells. However, these identification units cannot balance general applicability to diverse geographic environments and the representation degree of spatial heterogeneity, which impacts the effectiveness of the PMAs. This study proposes utilizing landscape positions along the hillslope as identification units of PMAs, which can be represented by slope position units (e. g., upland, backslope, and valley). Landscape position units inherently have upstream-downstream relations with each other and with channels. Therefore, their contributions to the assessment outlet can be quantified based on the propagation effects of hillslope and channel routing processes. The proposed method was imple-mented using a restructured and enhanced version of the Soil and Water Assessment Tool (SWAT+) to quantify the pollutants released, and a Markov chain-based surrogate model to distinguish the source contribution with the improvement of the transition matrix in representing both landscape position and channel units. Two wa-tersheds, one in China and one in the USA, with different geographic characteristics were selected to separately conduct comparative experiments to identify PMAs at the landscape position and subbasin levels. The results show that PMAs based on landscape positions have more accurate spatial distribution and require less area for the future configuration of management practices to achieve the same management goal as PMAs based on subbasins. The better effectiveness of landscape position units in identifying PMAs is mainly due to their better ability to represent hillslope processes and the spatial heterogeneity of underlying surface environments within subbasins. The proposed method can be implemented using other watershed models that support landscape position units or different types of spatial units with explicit upstream-downstream relations within subbasins.
WOS关键词QUALITY ; OPTIMIZATION ; QUANTIFICATION ; VERSION
WOS研究方向Engineering ; Geology ; Water Resources
出版者ELSEVIER
WOS记录号WOS:000948195100001
源URL[http://ir.igsnrr.ac.cn/handle/311030/190277]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China
2.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Peoples R China
3.Univ Wisconsin Madison, Dept Geog, Madison, WI 53706 USA
4.Nanjing Normal Univ, Sch Geog, Nanjing 210097, Peoples R China
5.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210097, Peoples R China
6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wu, Tong,Zhu, Liang-Jun,Shen, Shen,et al. Identification of watershed priority management areas based on landscape positions: An implementation using SWAT[J]. JOURNAL OF HYDROLOGY,2023,619.
APA Wu, Tong,Zhu, Liang-Jun,Shen, Shen,Zhu, A-Xing,Shi, Mingchang,&Qin, Cheng Zhi.(2023).Identification of watershed priority management areas based on landscape positions: An implementation using SWAT.JOURNAL OF HYDROLOGY,619.
MLA Wu, Tong,et al."Identification of watershed priority management areas based on landscape positions: An implementation using SWAT".JOURNAL OF HYDROLOGY 619(2023).

入库方式: OAI收割

来源:地理科学与资源研究所

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