1. 合肥工业大学 土木与水利工程学院,安徽,合肥,230009
2. 安徽省环境科学研究院,安徽,合肥,230009
纸质出版:2016
移动端阅览
柴纯纯, 徐得潜, 张浏, 等. 基于模糊层次-主成分分析法的城市河道生态护坡综合评价[J]. 水土保持通报, 2016,36(5):167-171.
CHAI Chunchun, XU Deqian, ZHANG Liu, et al. Comprehensive Assessment on Ecological Revetment of Urban River Course Using Fuzzy Analytic Hierarchy Process and Principal Component Analysis[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 167-171.
柴纯纯, 徐得潜, 张浏, 等. 基于模糊层次-主成分分析法的城市河道生态护坡综合评价[J]. 水土保持通报, 2016,36(5):167-171. DOI: 10.13961/j.cnki.stbctb.2016.05.034.
CHAI Chunchun, XU Deqian, ZHANG Liu, et al. Comprehensive Assessment on Ecological Revetment of Urban River Course Using Fuzzy Analytic Hierarchy Process and Principal Component Analysis[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 167-171. DOI: 10.13961/j.cnki.stbctb.2016.05.034.
[目的] 探讨城市河道生态护坡综合评价方法,为城市河道建设提供理论依据。[方法] 从护坡安全性、生态环境性、景观适宜性和社会经济效益4个方面构建城市河道生态护坡综合评价指标体系,采用模糊层次-主成分分析综合评价方法。[结果] 合肥市四里河、南淝河和十五里河3种生态护坡综合评价值分别为:多孔生态砖护坡1.57,生态混凝土护坡-2.39,生态砌块直立挡墙为0.82,多孔生态砖护坡评价结果较好。影响生态护坡综合评价的主要因素有结构稳定性、生物多样性、水环境修复、亲水性和公众认可度;评价结果与模糊层次分析法及主成分分析法评价结果一致。[结论] 模糊层次-主成分分析法具有较好的适用性和合理性,易于确定影响生态护坡的主要因素,可作为城市河道生态护坡综合评价方法。
[Objective] The objective of this study is to comprehensively assess the ecological revetment of urban river course in order to provide the theoretical basis for urban river construction.[Methods] Considering revetment safety
ecological environment
landscape suitability and socioeconomic benefits
we established an index system of comprehensive assessment on the ecological revetment of urban river course by using fuzzy analytic hierarchy process-principal component analysis(FAHP-PCA).[Results] The ecological brick slope was the optimal measure in Hefei City as it showed the highest assessment value of 1.57
which was higher than that of ecological concrete slope(-2.39) or erect retaining wall(0.82). The main factors that influenced the quality of ecological revetment included structural stability
biodiversity
water environmental remediation
hydrophilicity and public recognition. The result was consistent with the assessment result from FAHP and PCA.[Conclusion] Based on the excellent applicability and rationality
it is convenient to determine the main factors that affecting ecological revetment
therefore
FAHP-PCA can be used in the comprehensive assessment on ecological revetment of urban river course.
黄河改革委员会.黄河水资源公报[R].2013.
王建.黄河包头段水污染检测及动态分析[D].呼和浩特:内蒙古大学,2009.
肖风劲,欧阳华.生态系统健康及其评价指标和方法[J].自然资源学报,2002,17(2):204-209.
杨根生,拓万全,戴丰年,等.风沙对黄河内蒙古河段河道泥沙淤积的影响[J].中国沙漠,2003,23(2):152-159.
赵锁志,王沛东,孔凡吉,等.黄河内蒙古段生态系统健康状况评价[J].现代地质,2008,22(6):1023-1024.
闫永辉.大凌河健康评估与问题诊断分析[D].郑州:华北水利水电大学,2013.
李岩.排污河道的污染特征分析与调控[D].天津:天津大学,2009.
唐启义,冯光明.DPS数据处理系统:试验设计、统计分析及数据挖掘[M].北京:科学出版社,2007.
吴运敏,陈求稳,李静.模糊综合评价在小流域河道水质时空变化研究中的应用[J].环境科学学报, 2011,31(6):1199-1200.
Chang Nibin, Chen H W, Ning S K. Identification of river water quality using the fuzzy synthetic evaluation approach[J]. Journal of environmental management, 2001,63(3):293-305.
Mckone T E, Deshpande A W. Can fuzzy logic bring complex environmental problems into focus?[C]//IEEE International Conference on Granular Computing. IEEE, 2010,39(2):11-17.
Tao Yang, Yang Xinmiao. Fuzzy Comprehensive assessment, fuzzy clusterring analysis and its application for urbin environment quality evaluation[J]. Transportation Research(Part D):Transport and Environment, 1998,3(1):51-57.
Duque W O,Huguet N F, Domingo J L, et al. Assessing water quality in rivers with fuzzy inference systems:A case study[J]. Environ Intern, 2006, 32(6):733-742.
Liou Y T, Lo S L. A fuzzy index model for trophic status evaluation of reservoir waters[J]. Water Research, 2005,39(7):1415-1423.
Dahiya S, Singh B, Gaur S, et al. Analysis of groundwater quality using fuzzy synthetic evaluation[J]. Journal of Hazardous Material, 2007,147(3):938-946.
Silvert W. Fuzzy indices of environmental conditions[J]. Ecological Modeling, 2000,130(1/3):111-119.
任春涛,李畅游,全占军,等.基于GIS的乌梁素海水体富营养化状况的模糊式识别[J].环境科学研究,2007,20((3):68-74.
0
浏览量
975
下载量
2
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621