ORIGINAL RESEARCH
An Optimized Cloud Model Algorithm Adapted
to Comprehensive Benefit Evaluation
of Water-Saving Irrigation
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1
College of Water Conservancy, North China University of Water Resources and Electric Power,
Zhengzhou, Henan Province 450046, China
2
Henan Key Laboratory of Water-saving Agriculture, Zhengzhou, Henan Province 450046, China
3
The Water Conservancy Bureau of Nanyang, Nanyang, Henan Province 473000, China
4
Henan Key Laboratory of Ecological Safety of the South-to-North Water Transfer Project Water SourceArea,
Nanyang Normal University, Nanyang, Henan Province 473000, China
5
College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power,
Zhengzhou, Henan Province 450046, China
6
College of Land Science and Technology, China Agricultural University, Beijing 100193, China
Submission date: 2020-09-09
Final revision date: 2020-11-05
Acceptance date: 2020-11-12
Online publication date: 2021-04-12
Publication date: 2021-07-07
Corresponding author
Feng Wu
1 College of Water Conservancy, North China University of Water Resources and Electric
2 Henan Key Laboratory of Water-saving Agriculture,Zhengzhou, China
Pol. J. Environ. Stud. 2021;30(4):3713-3726
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ABSTRACT
The comprehensive benefit evaluation of water-saving irrigation in the irrigated areas is a complex
and dynamic evaluation system. According to the characteristics of randomness and fuzziness of the
system, an optimized cloud model algorithm for the comprehensive benefit evaluation of water-saving
irrigation in the irrigated areas was constructed, and the calculation of the weight cloud model was
optimized. At the same time, taking Yahekou as the research area, an evaluation system considering
the ecological, economic, and social benefits was established, and the comprehensive benefits of watersaving
irrigation in this area were evaluated with the optimization algorithm. The results showed that
the comprehensive benefit of water-saving irrigation in the Yahekou irrigated area was evaluated as
grade II “good” , selecting the Normal-Water-Level-Year as a typical year, following the life cycle of
winter wheat-summer maize rotation mode as the time scale. The optimization algorithm not only
ensures the accuracy of evaluation results but also takes into account the uncertainty of each index
factor. It opens up a new way for the comprehensive benefit evaluation of water-saving irrigation in the research area and provides a new idea for the application and optimization of the cloud model algorithm,
which has certain popularization value.