Suppr超能文献

采用基于多准则决策的方法对 Sali 流域的土地进行农业适宜性评估。

Land capability assessment of Sali watershed for agricultural suitability using a multi-criteria-based decision-making approach.

机构信息

Department of Earth Sciences and Remote Sensing, JIS University, Kolkata, 700109, West Bengal, India.

出版信息

Environ Monit Assess. 2024 Feb 5;196(3):237. doi: 10.1007/s10661-024-12393-9.

Abstract

The assessment of land's agricultural potential, through a land capability evaluation, delves into its innate limitations, crop suitability, and responses to soil management. In regions where agriculture reigns supreme, socio-economic development is inexorably linked to the agricultural sector, making the optimal utilization of land resources an imperative pursuit. The pursuit of this objective is underpinned by the selection of new agricultural areas and the determination of which crops thrive in specific locations, for which the multi-criteria decision-making (MCDM) method emerges as an ideal choice. This comprehensive research endeavour revolves around the intricate interplay of climatic, edaphic, fertility, topographical, and socioeconomic determinants. Within this intricate web, a total of 15 determinants play a pivotal role, including precipitation, potential evapotranspiration (PET), soil texture, drainage, soil organic-carbon, nitrogen content, pH, clay content, river proximity, land use/land cover (LULC), slope, temperature, social suitability, irrigation density, and elevation. To weigh these determinants, the Analytical Hierarchy Process (AHP) comes into play, ultimately revealing that the dominant influences on land capability stem from the realms of climate and soil. The watershed's terrain analysis revealed a distinct suitability contrast: 168 km highly suitable, 181.3 km moderate, and 429 km2 low. The eastern and northeastern sectors were notably promising. Rigorous validation, using the ROC curve, confirmed the reliability and precision. The process yielded an impressive 83.2% AUC, unequivocally confirming the assessment's remarkable accuracy and dependability.

摘要

通过土地能力评估来评估土地的农业潜力,深入研究其内在限制、作物适宜性以及对土壤管理的响应。在农业占主导地位的地区,社会经济发展与农业部门息息相关,因此优化利用土地资源是当务之急。为了实现这一目标,需要选择新的农业区,并确定哪些作物在特定地点生长良好,此时多准则决策(MCDM)方法成为理想选择。这项综合性研究围绕着气候、土壤、肥力、地形和社会经济等决定因素的复杂相互作用展开。在这个错综复杂的网络中,共有 15 个决定因素起着关键作用,包括降水、潜在蒸散量(PET)、土壤质地、排水、土壤有机碳、氮含量、pH 值、粘粒含量、河流接近度、土地利用/土地覆盖(LULC)、坡度、温度、社会适宜性、灌溉密度和海拔。为了权衡这些决定因素,层次分析法(AHP)发挥了作用,最终表明对土地能力产生主要影响的是气候和土壤因素。流域地形分析显示出明显的适宜性对比:168 平方公里高度适宜,181.3 平方公里中度适宜,429 平方公里低度适宜。东部和东北部地区的前景尤为可观。使用 ROC 曲线进行严格验证,证实了该评估的可靠性和精确性。该过程产生了令人印象深刻的 83.2% AUC,明确证实了评估的出色准确性和可靠性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验