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Comprehensive evaluation of operational conditions of large-scale irrigation district by improved catastrophe theory |
Wang Jinhui1, Fei Liangjun1, Wang Guangshe2, Feng Chanli2, Wu Jinhua1 |
1.Institute of Water Resources and Hydro-electric Engineering, Xi′an University of Technology, Xi′an, Shaanxi 710048, China; 2.Shaanxi Province Institute of Water Resources and Electric Power Investigation and Design, Xi′an, Shaanxi 710001, China |
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Abstract Usual methods for evaluating operational conditions of a large-scale irrigation district are reviewed. The main drawback in these methods is that the weight for each index of evaluation is susceptible to be affected by subjective factors and improved catastrophe theory potentially can determine the weight for each index properly to reduce the influence of subjective factors. Thus, in this paper, a comprehensive evaluation method is proposed based on the catastrophe theory by improving and adjusting the approach for determining comprehensive evaluation values to overcome the problem that comprehensive evaluation values are too high and too close each other so as to achieve a better resolution of evaluation. The comprehensive evaluation method is applied in assessment of the operational conditions of a large-scale irrigation district, namely validated by Luohuiqu Irrigation District, a large-scale gravity canal system in Shaanxi Province. As a result, the comprehensive evaluation values are 0.060 5, 0.265 7, 0.549 1 and 0.660 1, respectively, in year 2009, 2010, 2011 and 2012, accordingly, the operational conditions are fair, good, good, good. The evaluation results are basically in accordance with those by the traditional improved TOPSIS method. With time passing, the operational conditions of the district will become good from fair gradually, showing the conditions get better and better. This conforms to the objective reality and development rule of the district. Additionally, the method is simple in calculation and with high reliability, can be a new method for comprehensively assessing operational conditions of a large-scale irrigation district.
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Received: 06 November 2014
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