干旱区生态环境知识资源中心(Arid): A collaborated framework to improve hydrologic ecosystem services management with sparse data in a semi-arid basin

Arid

DOI	10.2166/nh.2021.146
	A collaborated framework to improve hydrologic ecosystem services management with sparse data in a semi-arid basin
	Wu, Yifan; Xu, Yang; Yin, Guodong; Zhang, Xuan; Li, Chong; Wu, Liyu; Wang, Xiao; Hu, Qiuhong; Hao, Fanghua
通讯作者	Yin, GD (corresponding author), Beijing Normal Univ, Beijing Key Lab Urban Hydrol Cycle & Sponge City, Coll Water Sci, Beijing 100875, Peoples R China.
来源期刊	HYDROLOGY RESEARCH
ISSN	1998-9563
EISSN	2224-7955
出版年	2021
卷号	52 期号:5 页码:1159-1172
英文摘要	Applying various models to assess hydrologic ecosystem services (HESs) management has the potential to encourage efficient water resources allocation. However, can a single model designed on these principles be practical to carry out hydrologic ecosystem services management for all purposes? We address this question by fully discussing the advantages of the variable infiltration capacity (VIC) model, the soil and water assessment tool (SWAT), and the integrated valuation of ecosystem services and tradeoffs (InVEST) model. The analysis is carried both qualitatively and quantitatively at the Yixunhe River basin, China, with a semi-arid climate. After integrating the advantages of each model, a collaborated framework and model selection method have been proposed and validated for optimizing the HESs management at the data sparse scenario. Our study also reveals that the VIC and SWAT model presents the better runoff reproducing ability of the hydrological cycle. Though the InVEST model has less accuracy in runoff simulation, the interannual change rate is similar to the other two models. Furthermore, the InVEST model (1.08 billion m (3) ) has larger simulation result than the SWAT model (0.86 billion m (3) ) for the water yield, while both models have close results for assessment of sediment losses.
英文关键词	collaborated framework hydrologic ecosystem services InVEST semi-arid area SWAT VIC
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000731375500012
WOS关键词	SPATIAL VARIABILITY ; RIVER-BASIN ; SWAT MODEL ; LAND-USE ; WATER ; IMPACTS ; SOIL ; PRECIPITATION ; CALIBRATION ; CLIMATE
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373628
作者单位	[Wu, Yifan; Xu, Yang; Yin, Guodong; Zhang, Xuan; Li, Chong; Wu, Liyu; Hao, Fanghua] Beijing Normal Univ, Beijing Key Lab Urban Hydrol Cycle & Sponge City, Coll Water Sci, Beijing 100875, Peoples R China; [Wang, Xiao] CECEP Consulting Co Ltd, Beijing 100082, Peoples R China; [Hu, Qiuhong] Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China
推荐引用方式 GB/T 7714	Wu, Yifan,Xu, Yang,Yin, Guodong,et al. A collaborated framework to improve hydrologic ecosystem services management with sparse data in a semi-arid basin[J],2021,52(5):1159-1172.
APA	Wu, Yifan.,Xu, Yang.,Yin, Guodong.,Zhang, Xuan.,Li, Chong.,...&Hao, Fanghua.(2021).A collaborated framework to improve hydrologic ecosystem services management with sparse data in a semi-arid basin.HYDROLOGY RESEARCH,52(5),1159-1172.
MLA	Wu, Yifan,et al."A collaborated framework to improve hydrologic ecosystem services management with sparse data in a semi-arid basin".HYDROLOGY RESEARCH 52.5(2021):1159-1172.