基于TOPSIS-AHP模型的嫩江柔性防浪林植物优选
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摘要
筛选嫩江柔性防浪林植物,为嫩江防浪林植物群落模式的构建提供借鉴。构建的嫩江柔性防浪林植物选择指标体系包括消浪功能、生长习性和辅助功能等3项1级指标和根系发达程度、枝条柔韧性、植被高度等8项2级指标。在传统TOPSIS方法的基础上,引入了区间数、三角模糊数及其处理方法,同时在权重确定方法上引入了层次分析法,建立了TOPSIS-AHP柔性防浪林植物的优选模型。计算结果表明,杞柳、芦苇和芦竹是嫩江柔性防浪林建设的适宜植物,其中杞柳最适宜。未来的研究还应从植物群落角度出发,考虑构建多层次、互惠共生、稳定性强的柔性防浪林植物群落模式或刚柔组合防浪林植物群落模式。
Because they are ecologically sound and cost-effective, wave break forests are widely used for attenuating waves to protect river banks and shorelines. But plant selection for bank protection is complex, and plant growth characteristics, climate, soil characteristics and wave dissipation efficiency must all be considered and optimized. In this study, we developed a plant selection index system for a flexible wave break forest along Nenjiang River and then used the system to select plants for the forest. Our aim was to provide a reference to guide plant community development for ecological restoration projects. The TOPSIS-AHP model, developed to assist plant selection for the flexible wave break forest, was based on the traditional TOPSIS method and included the interval number, triangular fuzzy number and processing techniques. The plant selection index system consisted of eight indicators, grouped into three first-level indices:wave attenuation function, growth habits and auxiliary function. Index weighting for each of the eight indicators was determined using the Analytic Hierarchy Process(AHP). A five-level qualitative description for each of the eight indicators was developed, along with the corresponding criteria. The index values of ten plants were evaluated and the suitability degree of each plant was determined. Results show that Salix integra, Phragmites communis and Arundo donax were suitable for constructing the Nenjiang flexible wave break forest, with Salix integra ranking highest. Future research should focus on establishing wave break forests that are multi-level, mutually beneficial and stable, based on the rigid-flexible plant community model.
Because they are ecologically sound and cost-effective, wave break forests are widely used for attenuating waves to protect river banks and shorelines. But plant selection for bank protection is complex, and plant growth characteristics, climate, soil characteristics and wave dissipation efficiency must all be considered and optimized. In this study, we developed a plant selection index system for a flexible wave break forest along Nenjiang River and then used the system to select plants for the forest. Our aim was to provide a reference to guide plant community development for ecological restoration projects. The TOPSIS-AHP model, developed to assist plant selection for the flexible wave break forest, was based on the traditional TOPSIS method and included the interval number, triangular fuzzy number and processing techniques. The plant selection index system consisted of eight indicators, grouped into three first-level indices:wave attenuation function, growth habits and auxiliary function. Index weighting for each of the eight indicators was determined using the Analytic Hierarchy Process(AHP). A five-level qualitative description for each of the eight indicators was developed, along with the corresponding criteria. The index values of ten plants were evaluated and the suitability degree of each plant was determined. Results show that Salix integra, Phragmites communis and Arundo donax were suitable for constructing the Nenjiang flexible wave break forest, with Salix integra ranking highest. Future research should focus on establishing wave break forests that are multi-level, mutually beneficial and stable, based on the rigid-flexible plant community model.
引文
樊守斌,2016.堤防防浪林树种筛选实践探索[J].治淮,(5):50-51.
伏世红,乔双全,王吉永,2011.嫩江干流齐富堤防双层地基渗流稳定分析[J].水利科技与经济,17(7):13-15.
郭建民,褚东花,张楠,等,2016.临沂市水生草本植物病虫害防治及对水质、环境的影响[J].现代农业科技,(6):160,165.
郭金玉,张忠彬,孙庆云,2008.层次分析法的研究与应用[J].中国安全科学学报,18(5):148-153.
黑龙江森林编委会,2011.黑龙江森林[M].哈尔滨:东北林业大学出版社.
江新,余璐,2016.基于熵权-TOPSIS的水电工程项目群协同度评价[J].人民长江,47(2):51-55.
孔维静,夏会娟,张远 ,等,2015.辽河保护区及其支流河岸草本植物群落数量分析[J].应用与环境生物学报,21(5):904-911.
李东健,杨允菲,2001.松嫩平原植物群落时空变化及数据库[M].北京:科学出版社.
刘冉,甘淳丹,赵海燕,等,2017.四种大型湿地植物对水产养殖废水中矿质元素和重金属富集特征的影响[J].南京农业大学学报,40(5):859-866.
倪晓燕,2016.东北黑土区水源地上游入库河道植物优化配置研究[D].长春:东北师范大学.
潘治,李学斌,2010.改进的多目标优化算法及其在船舶设计中的应用[J].中国造船,51(2):99-106.
秦吉,张翼鹏,1999.现代统计信息分析技术在安全工程方面的应用——层次分析法原理[J].工业安全与环保,(5):44-48.
盛长滨,盛滨龙,2011.嫩江流域洪水分析[J].东北水利水电,29(11):35-36.
信桂新,杨朝现,杨庆媛,等,2017.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,33(1):238-249.
徐建新,樊华,胡笑涛,2012.熵权与改进TOPSIS结合模型在地下水资源承载力评价中的应用[J].中国农村水利水电,(2):30-33.
徐文铎,1983.东北地带性植被建群种及常见种的分布与水热条件关系的初步研究[J].植物学报,25(3):255-274.
杨洪云,王永刚,李焕利,等,2017.两种浮床植物对水体中氮磷吸收能力及其水质净化效果[J].净水技术,(3):63-67.
张茂章,2015.影响淮河中游防浪林建设的因素分析及树种选择[J].中国水利,(9):22-24.
Ren L,Liu J T,Ni J J,et al,2014.Health evaluation of a lake wetland ecosystem based on the TOPSIS method[J].Polish Journal of Environmental Studies,23(6):2183-2190.
伏世红,乔双全,王吉永,2011.嫩江干流齐富堤防双层地基渗流稳定分析[J].水利科技与经济,17(7):13-15.
郭建民,褚东花,张楠,等,2016.临沂市水生草本植物病虫害防治及对水质、环境的影响[J].现代农业科技,(6):160,165.
郭金玉,张忠彬,孙庆云,2008.层次分析法的研究与应用[J].中国安全科学学报,18(5):148-153.
黑龙江森林编委会,2011.黑龙江森林[M].哈尔滨:东北林业大学出版社.
江新,余璐,2016.基于熵权-TOPSIS的水电工程项目群协同度评价[J].人民长江,47(2):51-55.
孔维静,夏会娟,张远 ,等,2015.辽河保护区及其支流河岸草本植物群落数量分析[J].应用与环境生物学报,21(5):904-911.
李东健,杨允菲,2001.松嫩平原植物群落时空变化及数据库[M].北京:科学出版社.
刘冉,甘淳丹,赵海燕,等,2017.四种大型湿地植物对水产养殖废水中矿质元素和重金属富集特征的影响[J].南京农业大学学报,40(5):859-866.
倪晓燕,2016.东北黑土区水源地上游入库河道植物优化配置研究[D].长春:东北师范大学.
潘治,李学斌,2010.改进的多目标优化算法及其在船舶设计中的应用[J].中国造船,51(2):99-106.
秦吉,张翼鹏,1999.现代统计信息分析技术在安全工程方面的应用——层次分析法原理[J].工业安全与环保,(5):44-48.
盛长滨,盛滨龙,2011.嫩江流域洪水分析[J].东北水利水电,29(11):35-36.
信桂新,杨朝现,杨庆媛,等,2017.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,33(1):238-249.
徐建新,樊华,胡笑涛,2012.熵权与改进TOPSIS结合模型在地下水资源承载力评价中的应用[J].中国农村水利水电,(2):30-33.
徐文铎,1983.东北地带性植被建群种及常见种的分布与水热条件关系的初步研究[J].植物学报,25(3):255-274.
杨洪云,王永刚,李焕利,等,2017.两种浮床植物对水体中氮磷吸收能力及其水质净化效果[J].净水技术,(3):63-67.
张茂章,2015.影响淮河中游防浪林建设的因素分析及树种选择[J].中国水利,(9):22-24.
Ren L,Liu J T,Ni J J,et al,2014.Health evaluation of a lake wetland ecosystem based on the TOPSIS method[J].Polish Journal of Environmental Studies,23(6):2183-2190.