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Application of analytical hierarchy process for effective selection of agricultural best management practices

机译:应用层次分析法有效选择农业最佳管理实践

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In this study an analytical hierarchy process (AHP) was used for ranking best management practices (BMPs) in the Saginaw River Watershed based on environmental, economic and social factors. Three spatial targeting methods were used for placement of BMPs on critical source areas (CSAs). The environment factors include sediment, total nitrogen, and total phosphorus reductions at the subbasin level and the watershed outlet. Economic factors were based on total BMP cost, including installation, maintenance, and opportunity costs. Social factors were divided into three favorability rankings (most favorable, moderately favorable, and least favorable) based on area allocated to each BMP. Equal weights (1/3) were considered for the three main factors while calculating the BMP rank by AHP. In this study three scenarios were compared. A comprehensive approach in which environmental, economic, and social aspects are simultaneously considered (Scenario 1) versus more traditional approaches in which both environmental and economic aspects were considered (Scenario 2) or only environmental aspects (sediment, TN, and TP) were considered (Scenario 3). In Scenario I, only stripcropping (moderately favorable) was selected on all CSAs at the subbasin level, whereas stripcropping (49-69% of CSAs) and residue management (most favorable, 31-51% of CSAs) were selected by AHP based on the watershed outlet and three spatial targeting methods. In Scenario 2, native grass was eliminated by moderately preferable BMPs (stripcropping) both at the subbasin and watershed outlet levels due the lower BMP implementations cost compared to native grass. Finally, in Scenario 3, at subbasin level, the least socially preferable BMP (native grass) was selected in 100% of CSAs due to greater pollution reduction capacity compared to other BMPs. At watershed level, nearly 50% the CSAs selected stripcropping, and the remaining 50% of CSAs selected native grass and residue management equally.
机译:在这项研究中,基于环境,经济和社会因素,使用分析层次结构过程(AHP)对萨吉诺河流域的最佳管理实践(BMP)进行排名。使用三种空间定位方法将BMP放置在关键源区域(CSA)上。环境因素包括子流域水平和流域出口处的沉积物,总氮和总磷减少量。经济因素是基于BMP的总成本,包括安装,维护和机会成本。根据分配给每个BMP的面积,将社会因素分为三个好感度等级(最有利,中度有利和最不利)。在通过AHP计算BMP等级时,考虑了三个主要因素的均等权重(1/3)。在本研究中,比较了三种情况。同时考虑环境,经济和社会方面(方案1)的综合方法,而同时考虑环境和经济方面(方案2)或仅考虑环境方面(沉积物,TN和TP)的传统方法(方案3)。在方案I中,子流域级别的所有CSA仅选择了剥离种植(中等有利),而AHP则根据以下条件选择了剥离种植(占CSA的49-69%)和残留物管理(最有利的是CSA的31-51%)。分水岭出口和三种空间定位方法。在方案2中,由于在子流域和集水区的出口处都采用了较为理想的BMP(条纹种植),因此淘汰了本地草,因为与本地草相比,BMP的实施成本较低。最后,在方案3中,在子流域一级,由于与其他BMP相比具有更大的污染减少能力,因此在100%的CSA中选择了社会上最不喜欢的BMP(天然草)。在流域水平上,将近50%的CSA选择了剥皮作物,而其余50%的CSA则平均选择了原生草和残留物管理。

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