Basnet B B, Apan A A, Raine S R
Faculty of Engineering and Surveying, University of Southern Queensland, Toowoomba, Queensland 4350, Australia.
Environ Manage. 2001 Oct;28(4):519-31. doi: 10.1007/s002670010241.
Rapid growth of intensive animal industries in southeast Queensland, Australia, has led to large volumes of animal waste production, which possess serious environmental problems in the Murray Darling Basin (MDB). This study presents a method of selecting sites for the safe application of animal waste as fertiliser to agricultural land. A site suitability map for the Westbrook subcatchment within the MDB was created using a geographic information system (GIS)-based weighted linear combination (WLC) model. The factors affecting the suitability of a site for animal waste application were selected, and digital data sets derived from up to 1:50,000 scale maps were acquired. After initial preprocessing, digital data sets were clipped to the size of the delineated subcatchment boundary producing input factors. These input factors were weighted using the analytical hierarchy process (AHP) that employed an objectives-oriented comparison (OOC) technique to formulate the pairwise comparison matrix. The OOC technique, which is capable of deriving factor weight independently, formulated the weight derivation process by making it more logical and systematic. The factor attributes were classified into multiple classes and weighted using the AHP. The effects of the number of input factors and factor weighting on the areal extent and the degree of site suitability were examined. Due to the presence of large nonagricultural and residential areas in the subcatchment, only 16% of the area was found suitable for animal waste application. The areal extent resulting from this site suitability assessment was found to be dependent on the areal constraints imposed on each input factor, while the degree of suitability was principally a function of the weight distribution between the factors.
澳大利亚昆士兰州东南部集约化畜牧业的快速发展导致产生了大量动物粪便,这给墨累-达令盆地(MDB)带来了严重的环境问题。本研究提出了一种为将动物粪便安全用作农田肥料选择施用地点的方法。利用基于地理信息系统(GIS)的加权线性组合(WLC)模型,绘制了MDB内韦斯特布鲁克子流域的场地适宜性图。选取了影响场地对动物粪便施用适宜性的因素,并获取了源自比例高达1:50000地图的数字数据集。经过初步预处理后,将数字数据集裁剪为划定的子流域边界大小,从而生成输入因素。这些输入因素使用层次分析法(AHP)进行加权,该方法采用面向目标的比较(OOC)技术来构建成对比较矩阵。OOC技术能够独立推导因素权重,通过使其更具逻辑性和系统性来制定权重推导过程。将因素属性分类为多个类别,并使用AHP进行加权。研究了输入因素数量和因素加权对面积范围和场地适宜程度的影响。由于该子流域存在大量非农业和居民区,发现只有16%的区域适合施用动物粪便。发现该场地适宜性评估得出的面积范围取决于施加在每个输入因素上的面积限制,而适宜程度主要是因素之间权重分布的函数。