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Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey.
International Journal of Environmental Science and Technology ( IF 3.0 ) Pub Date : 2020-08-06 , DOI: 10.1007/s13762-020-02869-9
T Everest 1 , A Sungur 2 , H Özcan 2
Affiliation  

This study was carried out in the district of Lapseki in Çanakkale, Turkey. The suitability of land in Lapseki for agriculture was evaluated by using an analytic hierarchy process. In the study, the basic parameters were determined by using the soil map and the Shuttle Radar Topography Mission data. Land use capability classes, soil depth, erosion risk and other soil properties (limiting factors) were obtained from the soil map, while slope, elevation and aspect were obtained from the Shuttle Radar Topography Mission data. To determine the weight of the parameters in the analytic hierarchy process, the opinions of the public institutions and experts were obtained. The obtained data were analyzed with the analytic hierarchy process and mapped with geographic information systems techniques, and a land suitability map was generated. The agricultural land suitability map demonstrated that 2.95% (2557 ha) of the lands in the study area were highly suitable; 10.37% (8989 ha) were moderately suitable; 53.47% (46,336 ha) were marginally suitable; and 33.21% (28,775 ha) were not suitable for agricultural use. The data from the agricultural land suitability map were compared with the Coordination of Information on the Environment 2012 data. As a result of comparison, 14.12% (361 ha) of highly suitable lands for agriculture and 2.25% (202 ha) of moderate suitable lands for agriculture are urbanized. It was seen that 45.71% (24,837 ha) of the lands that are marginally suitable for agriculture and 18.76% (5397 ha) of the not suitable lands had current land use for agriculture.



中文翻译:

在土耳其西北部用多标准决策方法确定农业用地适宜性。

这项研究是在土耳其恰纳卡莱的拉普塞基区进行的。通过使用层次分析法评估拉普塞基的土地是否适合农业。在研究中,基本参数是利用土壤图和航天飞机雷达地形任务数据确定的。土地利用能力等级、土壤深度、侵蚀风险和其他土壤特性(限制因素)是从土壤图中获得的,而坡度、海拔和坡向是从航天飞机雷达地形任务数据中获得的。为了确定层次分析法中参数的权重,征求了公共机构和专家的意见。通过层次分析法对获得的数据进行分析,并利用地理信息系统技术进行绘图,生成土地适宜性地图。农业用地适宜性图显示研究区有 2.95%(2557 公顷)的土地高度适宜;10.37%(8989 公顷)适中;53.47%(46,336 公顷)勉强适合;33.21%(28,775 公顷)不适合农业用途。来自农业土地适宜性地图的数据与 2012 年环境信息协调数据进行了比较。比较结果是,14.12%(361 公顷)的高度适宜农业用地和 2.25%(202 公顷)的中等适宜农业用地实现了城市化。可以看出,45.71%(24,837 公顷)的勉强适合农业的土地和 18.76%(5397 公顷)的不适合农业的土地目前用于农业。37%(8989 公顷)适中;53.47%(46,336 公顷)勉强适合;33.21%(28,775 公顷)不适合农业用途。来自农业土地适宜性地图的数据与 2012 年环境信息协调数据进行了比较。比较结果是,14.12%(361 公顷)的高度适宜农业用地和 2.25%(202 公顷)的中等适宜农业用地实现了城市化。可以看出,45.71%(24,837 公顷)的勉强适合农业的土地和 18.76%(5397 公顷)的不适合农业的土地目前用于农业。37%(8989 公顷)适中;53.47%(46,336 公顷)勉强适合;33.21%(28,775 公顷)不适合农业用途。来自农业土地适宜性地图的数据与 2012 年环境信息协调数据进行了比较。比较结果是,14.12%(361 公顷)的高度适宜农业用地和 2.25%(202 公顷)的中等适宜农业用地实现了城市化。可以看出,45.71%(24,837 公顷)的勉强适合农业的土地和 18.76%(5397 公顷)的不适合农业的土地目前用于农业。来自农业土地适宜性地图的数据与 2012 年环境信息协调数据进行了比较。比较结果是,14.12%(361 公顷)的高度适宜农业用地和 2.25%(202 公顷)的中等适宜农业用地实现了城市化。可以看出,45.71%(24,837 公顷)的勉强适合农业的土地和 18.76%(5397 公顷)的不适合农业的土地目前用于农业。来自农业土地适宜性地图的数据与 2012 年环境信息协调数据进行了比较。比较结果是,14.12%(361 公顷)的高度适宜农业用地和 2.25%(202 公顷)的中等适宜农业用地实现了城市化。可以看出,45.71%(24,837 公顷)的勉强适合农业的土地和 18.76%(5397 公顷)的不适合农业的土地目前用于农业。

更新日期:2020-08-06
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