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Mapping the regional variation in potential vulnerability in Indian Agriculture to climate change- An exercise through constructing vulnerability index

机译:绘制印度农业对气候变化的潜在脆弱性区域变化图-通过构建脆弱性指数进行练习

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India is potentially vulnerable to adverse impacts in agriculture on account of climate change. The Anticipated changes in water availability (surface, freshwater and ground water), temperature rise, soil degradation and the suggested increase in extreme events such as the drought, floods and cyclones will affect agricultural severely. The present paper aims to develop the vulnerability profile of agricultural systems of the Indian states to the changing climate scenarios. It develops two sub indices, namely, Bio-Physical vulnerability index and Socio-Economic vulnerability index to develop the final overall vulnerability index. Bio-Physical vulnerability index has been constructed by considering five indicators, namely: (1) Cropping intensity, (2) Percentage of area under leguminous crops, (3) Percentage of degraded area to total geographical area, (4) Unexploited surface water available for future and (5) Unexploited surface water available for future. The Socio-Economic Vulnerability index has been computed by considering four indicators like: Irrigation intensity, Percentage of people below poverty line, Percentage of agricultural workers to total workers, Literacy rate. Modified UNDP method has been used in developing all the indicators. It has been found that most of the states which are having very high or high vulnerability are centered on the central and north-central part of India.
机译:由于气候变化,印度可能容易受到农业不利影响的影响。水资源(地表,淡水和地下水)的预期变化,温度升高,土壤退化以及干旱,洪水和飓风等极端事件的建议增加将严重影响农业。本文旨在发展印度各州农业系统对气候变化情景的脆弱性。它开发了两个子指数,即生物物理脆弱性指数和社会经济脆弱性指数,以开发最终的总体脆弱性指数。通过考虑五个指标来构建生物物理脆弱性指数,这些指标是:(1)种植强度,(2)豆类作物种植面积的百分比,(3)退化面积占总地理面积的百分比,(4)有未开发的地表水(5)未开发的地表水可供将来使用。通过考虑四个指标来计算社会经济脆弱性指数,例如:灌溉强度,贫困线以下的人口百分比,农业工人占总工人数的百分比,识字率。修改后的开发计划署方法已用于制定所有指标。已经发现,脆弱性很高或很高的大多数州都集中在印度的中部和中北部。

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