Optimization of irrigation water use efficiency evaluation indicators based on DPSIR-ISD model | Zendy

Dong Liu | Zendy; Lihui Zhou | Zendy; Heng Li | Zendy; Qiang Fu | Zendy; Mo Li | Zendy; Muhammad Abrar Faiz | Zendy; Shoaib Ali | Zendy; Tianxiao Li | Zendy; Muhammad Imran Khan | Zendy

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Optimization of irrigation water use efficiency evaluation indicators based on DPSIR-ISD model

Author(s) -

Dong Liu,

Lihui Zhou,

Heng Li,

Qiang Fu,

Mo Li,

Muhammad Abrar Faiz,

Shoaib Ali,

Tianxiao Li,

Muhammad Imran Khan

Publication year - 2019

Publication title -

water science and technology water supply

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 39

eISSN - 1607-0798

pISSN - 1606-9749

DOI - 10.2166/ws.2019.135

Subject(s) - dpsir , operability , computer science , irrigation , water resource management , evaluation methods , sustainable development , environmental science , environmental resource management , reliability engineering , engineering , ecology , software engineering , biology , law , political science

The evaluation of irrigation water efficiency plays an important role in the efficient use of agricultural water resources and the sustainable development of agriculture. In order to make the evaluation of irrigation water use efficiency indicators more comprehensive and scientific, this paper constructs a new optimal model of evaluation indicators. By combining the Driver-Pressure-State-ImpactResponse (DPSIR) model with the Information Significance Difference (ISD) evaluation indicators model, a novel DPSIR-ISD evaluation indicators combination model was constructed. Ten riverside irrigation areas in the Sanjiang Plain of northeastern China were selected for analysis. The results show that the DPSIR-ISD model was used to reduce the number of indicators from 44 to 14; these 14 indicators reflected 91.88% of the original information. The DPSIR-ISD method proposed in this paper takes into account the completeness and simplicity of the indicators system, and is more in line with the actual situation in the field. These results can provide a simpler and more convenient system for optimizing indicators for the study of evaluation indicators used to analyze irrigation water use

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