PDF Download

[1]Qi Jing.Performance Evaluation of Soil and Water Conservation and Diagnosis of Obstacle Factors in Construction Projects Based on Combined Weighting TOPSIS Model[J].Research of Soil and Water Conservation,2023,30(06):458-467.[doi:10.13869/j.cnki.rswc.2023.06.039]

Copy

Performance Evaluation of Soil and Water Conservation and Diagnosis of Obstacle Factors in Construction Projects Based on Combined Weighting TOPSIS Model

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 06 Page number: 458-467 Column: Public date: 2023-10-10

Title:: Performance Evaluation of Soil and Water Conservation and Diagnosis of Obstacle Factors in Construction Projects Based on Combined Weighting TOPSIS Model

Author(s):: Qi Jing; (Shaanxi Province Institute of Water Resources and Electric Power Investigation and Design, Xi'an, Shaanxi 710001, China)

Keywords:: soil and water conservation; combined weighting; performance evaluation; obstacle degree

CLC:: S157.2

DOI:: 10.13869/j.cnki.rswc.2023.06.039

Abstract:: [Objective] The aims of this study are to comprehensively evaluate the soil and water conservation of construction projects, diagnose their obstacle factors, and to improve the comprehensive performance of soil and water conservation. [Methods] A comprehensive evaluation index system for soil and water conservation was established using four subsystems, including the effectiveness of soil and water loss prevention and control, the control of soil and water loss impact factors, the control of soil and water conservation economic investment, and the effectiveness of soil and water conservation ecological construction, as well as 15 indicator factors under them. Based on analytic hierarchy process(AHP), expert scoring method and entropy weight method combined with game theory were used to construct a comprehensive performance evaluation technology system and obstacle factor diagnosis method for soil and water conservation of construction projects with combined weight TOPSIS model. Empirical research was carried out to evaluate and diagnose 3 construction projects in Shaanxi Province comprehensive benefits and obstacle factors of soil and water conservation of the project. [Results] The comprehensive performance closeness of soil and water conservation projects for P₁, P₂ and P₃ are 0.764 4, 0.692 8 and 0.274 5, respectively. The soil and water conservation performance of P₁ is excellent, while that of P₃ is poor. The main indicator layer obstacle factors of P₁ are the investment ratio of forest and grass measures and the investment ratio of temporary measures. P₂ represents the disturbance land remediation rate, unit area waste, temporary measure investment ratio, and forest and grass vegetation restoration rate. P₃ represents the disturbance land remediation rate, soil erosion control degree, and forest and grass vegetation restoration rate. P₁ needs to optimize the investment structure of water and soil conservation measures, increase investment in forest and grass measures and temporary measures appropriately. P₂ needs to increase investment in temporary measures appropriately, improve the effectiveness and comprehensiveness of water and soil conservation measures. P₃needs to increase capital investment and increase temporary measures and forest and grass measures. [Conclusion] By using the combined weighted TOPSIS model, the soil and water conservation obstacle factors of construction projects can be accurately diagnosed and the soil and water conservation benefits of construction projects can be improved. The ideas and methods of this study can provide technical ideas for promoting the comprehensive performance improvement of soil and water conservation in construction projects and systematically optimizing and adjusting soil and water conservation plans.

References:: [1] 张茨林,谢颂华,曾建玲.江西省人为水土流失现状调查与防治研究[J].农业工程学报,2008,24(8):54-57.
Zhang X L, Xie S H, Zeng J L. Investigation on the state and prevention of artificial soil erosion in Jiangxi Province[J]. Transactions of the Chinese Society of Agricultural Engineering,2008,24(8):54-57.
[2] 刘菲.基于综合效益的北票市白石厂小流域水土保持评价[J].黑龙江水利科技,2020,48(3):212-215.
Liu F. Evaluation of soil and water conservation in Baishichang small watershed in Beipiao City based on comprehensive benefits[J]. Heilongjiang Hydraulic Science and Technology,2020(3):212-215.
[3] 王梅,周之豪.水土保持项目综合评价指标体系[J].中国水土保持,1996(1):40-42,58.
Wang M, Zhou Z H. Comprehensive evaluation index system for soil and water conservation projects[J]. Soil and Water Conservation in China, 1996(1):40-42.
[4] 姜德文.以科学发展观建立开发建设项目水土保持损益评价体系[J].中国水土保持,2005(6):5-7.
Jiang D W. Establishing a system for evaluating the profit and loss of soil and water conservation in development and construction projects with a scientific view of development[J]. Soil and Water Conservation in China,2005(6):5-7.
[5] 李怡凤,王继军,连坡,等.“进则全胜”下的水土保持评价指标体系构建[J].水土保持研究,2021,28(2):390-393.
Li Y F, Wang J J, Lian P, et al. Construction of evaluation index system of soil and water conservation under the condition of ‘progress towards victory'[J]. Research of Soil and Water Conservation,2021,28(2):390-393.
[6] 李刚,秦红玲.综合评价方法及探讨[J].节能,2004(10):12-15.
Li G, Qin H L. Introduce and discussion of comprehensive evaluation methods[J]. Energy Conservation,2004(10):12-15.
[7] 孙震.基于综合集成赋权法优选城市河道护坡方案[J].水土保持应用技术,2018(4):42-44.
Sun Z. Preferred urban river slope protection scheme based on comprehensive integrated empowerment method[J]. Technology of Soil and Water Conservation, 2018(4):42-44.
[8] 周雪,左忠义,程伟.基于组合赋权云模型的铁路旅客运输安全评价[J].中国安全科学学报,2020,30(S1):158-164.
Zhou X, Zuo Z Y, Cheng W. Safety evaluation of railway passenger transportation based on combined weighting cloud model[J]. China Safety Science Journal, 2020,30(S1):158-164.
[9] 赵麦换,张翼,杨帆,等.水土保持产业化评价指标体系研究[J].水土保持学报,2003,17(1):5-9.
Zhao M H, Zhang Y, Yang F, et al. Study on evaluation index system of water and soil conservation industrialization[J]. Journal of Soil and Water Conservation,2003,17(1):5-9.
[10] 赵力仪,马国力,祁永新,等.水土保持社会效益的监测与评价[J].人民黄河,2000,22(6):23-25.
Zhao L Y, Ma G L, Qi Y X, et al. Monitoring and evaluation of soil benefit of water and soil conservation[J]. Yellow River,2000,22(6):23-25.
[11] 尤立,刘平,张俊龙,等.基于熵权的改进TOPSIS方法对黄河水土保持生态工程综合效益评估[J].安徽农业科学,2017,45(5):232-235.
You L, Liu P, Zhang J L, et al. Evaluation of social and economic benefits of soil and water conservation project of Yellow River through entropy-weight TOPSIS method[J]. Journal of Anhui Agricultural Science, 2017,45(5):232-135.
[12] 党志良,林启才,史淑娟.水土保持综合治理效益分析与评价:以丹凤县陈家沟小流域为例[J].西北大学学报:自然科学版,2010,40(3):535-539.
Dang Z L, Lin Q C, Shi S J. Benefit analysis and evaluation for water-soil conservation treatment: A case study on Chenjiagou watershed[J]. Journal of Northwest University: Natural Science,2010,40(3):535-539.
[13] Luo H, Hu X, Xie Y, et al. Constructions of an evaluation framework for soil and water conservation techniques[J]. Catena,2020,186:104378.
[14] 桂凌,张征,闫国振,等.基于遗传神经网络的鄂尔多斯沙棘水土保持功能评价[J].干旱区资源与环境,2012,26(7):136-140.
Gui L, Zhang Z, Yan G Z, et al. Evaluation on soil and water conservation function of seabuckthorn forest in ordos with genetic algorithms artificial neural networks[J]. Journal of Arid and Resources and Environment,2012,26(7):136-140.
[15] 周科平,林允,邓红卫,等.熵权-云模型对岩爆等级的预测[J].中国有色金属学报,2016,26(7):1995-2002.
Zhou K P, Lin Y, Deng H W, et al. Prediction of rock burst classification using cloud model with entropy weight[J]. Transactions of Nonferrous Metals Society of China,2016,26(7):1995-2002.
[16] 李明亮,李克钢,刘月东,等.基于变异系数与序关分析法-多维正态云模型的岩爆预测[J].岩石力学与工程学报,2020,39(S2):3395-3402.
Li M L, Li K G, Liu Y D, et al. Rock burst prediction based on coefficient of variation and sequence analysis-multidimensional normal cloud model[J]. Chinese Journal of Rock Mechanics and Engineering,2020,39(S2):3395-3402.
[17] 李绍红,王少阳,朱建东,等.基于权重融合和云模型的岩爆倾向性预测研究[J].岩土工程学报,2018,40(6):1075-1083.
Li S H, Wang S Y, Zhu J D, et al. Prediction of rock burst tendency based on weighted fusion and improved cloud model[J]. Chinese Journal of Geotechnical Engineering,2018,40(6):1075-1083.
[18] 闫超,张娜娜,赵言文.江苏省输变电类生产建设项目水土保持综合评价[J].水土保持通报,2014,34(2):120-123.
Yan C, Zhang N N, Zhao Y W. Comprehensive evaluation of soil and water conservation in power transmission engineering projects of Jiangsu Province[J]. Bulletin of Soil Water Conservation,2014,34(2):120-123.
[19] 李海文,鲍学英.川藏铁路高原脆弱区沿线受损生态空间修复状况综合评价[J].铁道科学与工程学报,2020,17(9):2412-2422.
Li H W, Bao X Y. Comprehensive evaluation of the restoration status of damaged ecological space along the fragile area of the Sichuan-Tibet Railway Plateau[J]. Journal of Railway Science and Engineering,2020,17(9):2412-2422.
[20] 雷勋平,Robin Qiu,刘勇.基于熵权TOPSIS模型的区域土地利用绩效评价及障碍因子诊断[J].农业工程学报,2016,32(13):243-253.
Lei X P, Qiu R, Liu Y. Evaluation of regional land use performance based on entropy TOPSIS model and diagnosis of its obstacle factors[J]. Transactions of the Chinese Society of Agricultural Engineering,2016,32(13):243-253.
[21] 曾雪婷,李永平,崔亮,等.基于熵权TOPSIS法的水保项目管理评价[J].人民黄河,2015,37(5):80-83.
Zeng X T, Li Y P, Cui L, et al. Evaluation of operation and management on soil and water conservation project based on entropy TOPSIS method[J]. Yellow River,2015,37(5):80-83.
[22] 梁昌勇,戚筱雯,丁勇,等.一种基于TOPSIS的混合型多属性群决策方法[J].中国管理科学,2012,20(4):109-117.
Liang C Y, Qi X W, Ding Y, et al. A hybrid multi-criteria group decision making with TOPSIS method[J]. Chinese Journal of Management Science,2012,20(4):109-117.
[23] 信桂新,杨朝现,杨庆媛,等.用熵权法和改进TOPSIS模型评价高标准基本农田建设后效应[J].农业工程学报,2017,33(1):238-249.
Xin G X, Yang C X, Yang Q Y, et al. Post-evaluation of well-facilitied capital farmland construction based on entropy weight method and improved TOPSIS model[J]. Transactions of the Chinese Society of Agricultural Engineering,2017,33(1):238-249.
[24] 袁磊,陈国平,罗宇.中国西南典型山区县级耕地地力评价与分级[J].国土资源科技管理,2017,34(6):82-93.
Yuan L, Chen G P, Luo Y. Evaluation and classification of cultivated land fertility in inaccessible mountainous areas of Southwest China[J]. Scientific and Technological Management of Land and Resources,2017,34(6):82-93.

Similar References:

Memo

Last Update: 2023-10-10