基于GIS辅助AHP的印度拉贾斯坦邦西部干旱区农用地适宜性分类与评价

Q3 Agricultural and Biological Sciences Indian Journal Of Agricultural Research Pub Date : 2023-05-30 DOI:10.18805/ijare.a-6085
Sonia ., Sunita ., Rakesh Kumar Verma, Tathagata Ghosh, Rajarshi Kumar Gaur
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引用次数: 0

摘要

背景:农地适宜性分析是分析作物特定土地适宜性的可靠方法之一。本文对拉贾斯坦邦西部干旱平原区珍珠粟种植的农业用地适宜性进行了研究。方法:选取生长季平均温度(°C)、总降雨量(mm)、土壤磷(kg/h)、土壤质地、土壤pH、土壤有机碳(%)、土壤盐度(dS/m)、土地坡度(%)、土地利用-土地覆盖9个指标及其相应的子指标。通过两两比较矩阵对所选标准进行层次分析法(AHP),并通过加权叠加分析法(WOA)确定和表示各权重。结果:生长期温度(20.68%)、总降雨量(15.90%)和土地利用/土地覆被(14.39%)的权重较高,一致性比为0.087。GIS环境下WOA结果划分了高度适宜(S1)、中等适宜(S2)、边际适宜(S3)和受限(N) 4个适宜性类别。S2类别的面积占比显著,而S3类别的面积最小,具有坡度较高、盐度较高等限制。使用混淆矩阵进行模型验证,总体准确率为88.10%。
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Agricultural Land Suitability Categorization and Evaluation using GIS Assisted AHP in the Arid Western Plain Zone of Rajasthan, India
Background: Agricultural Land Suitability Analysis is one of the dependable method through which crop specific land suitability can be analyzed. Agricultural land suitability analysis for the pearl millet in the Arid Western Plain Zone of Rajasthan was the major focus of the present study. Methods: Nine criteria viz. mean temperature in the growing season (°C), total rainfall (mm), soil phosphorus (kg/h), soil texture, soil pH, soil organic carbon (%), salinity (dS/m), slope of the land (%) and landuse-landcover and their corresponding sub-criteria were selected. Analytic Hierarchical Process (AHP) was performed on the selected criteria through pair-wise comparison matrix and individual weights were determined and represented through Weighted Overlay Analysis (WOA). Result: Temperature in the growing season (20.68%), total rainfall (15.90%) and landuse/ landcover (14.39%) depicted relatively higher weightage with consistency ratio of 0.087. Results obtained from WOA in GIS environment depicted four suitability category namely Highly suitable (S1), Moderately suitable (S2), Marginally suitable (S3) and Restricted (N). Significant percentage of area was categorized under S2 category while S3 category was associated with least area with limitations like relatively higher slope and higher salinity. The proposed model validation was performed with overall accuracy of 88.10% using confusion matrix.
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来源期刊
Indian Journal Of Agricultural Research
Indian Journal Of Agricultural Research Agricultural and Biological Sciences-Soil Science
CiteScore
1.00
自引率
0.00%
发文量
143
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