中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved approach for modeling spatial distribution of water use profit-A case study in Tuhai Majia Basin, China

文献类型:SCI/SSCI论文

作者Huang Y. H.; Jiang D.; Zhuang D. F.; Zhu Y. Q.; Fu J. Y.
发表日期2014
关键词Water Use Profit (Wup) Spatial Distribution Economic Ecological Yellow-river Basin Productivity Irrigation Services Values System Modis
英文摘要Water use profit (WUP) has been recognized as an important indicator of water resources management. This paper presents a set of models for evaluating the spatial distribution of economic and ecological WUP. The outputs of the models are detailed with a higher resolution than those in traditional WUP evaluation. Evapotranspiration (ET), which can be retrieved from remote sensing images, is regarded as the water consumption at the basin scale. The gridded GDP and ecosystem service value (ESV) are derived as indices of economic and ecological profits respectively. This method is applied in the Tuhai Majia Basin, North China. Agriculture is both economically and ecologically fundamental in the study area. The economic WUP of the whole basin (4.87 Yuan/m(3)) is slightly higher than the value of primary industry (3.39 Yuan/m(3)) and lower than the value of the secondary industry and tertiary industry (9.84 Yuan/m(3)). The ecological WUP of the whole basin (87.29 Yuan/m(3)) is quite close to the value of farm land. Water and wet land conservation and the development of barren land are important for ecological WUP improvement. Moreover, the dataset of WUP generated based on our method in this paper can be used for multi-scale analysis and be helpful to basin water resource management. (C) 2013 Elsevier Ltd. All rights reserved.
出处Ecological Indicators
36
94-99
语种英语
ISSN号1470-160X
源URL[http://192.168.22.105/handle/311030/29814]  
专题资源利用与环境修复重点实验室_外文论文
推荐引用方式
GB/T 7714
Huang Y. H.,Jiang D.,Zhuang D. F.,et al. An improved approach for modeling spatial distribution of water use profit-A case study in Tuhai Majia Basin, China. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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