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Combating Agricultural Drought in Developing Countries through Watershed Approach: A Case Study from Odisha, India

机译:通过流域方法打击发展中国家的农业干旱:印度奥迪沙的案例研究

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Periodic drought affects both developing and the developed countries around the globe with direct impacts on agriculture and on other productive sectors reliant on water. However, it is in developing countries, where drought is highly correlated withthe performance of the overall economy, as a result of heavy reliance on agriculture. India is amongst the most vulnerable drought prone countries in the world, where a drought has been reported at least once in every three years in the last five decades. An attempt has been made in this paper to provide a comprehensive idea of drought through interpretation and correlation of various drought causative parameters. As a state or even a district is too large a unit with varying covers, soil types, crop types, etc., the sub basin level assessment has been considered for the detailed drought assessment in this study. The Tel watershed covering an area of 2756 km2 and lies between 19° 17' and 20° 00' N latitude and 82" 30' and 82° 59'E longitude near Bhawanipatna region of Kalahandi district of Odisha, India was selected as the study area. Spatiotemporal variation of seasonal drought patterns and drought severity in the Tel watershed was analyzed by the Standardized Precipitation Index (SPI) using GIS based interpolation. Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were generated to understand the impact of precipitation deficiency on vegetation vigor and growth. The analysis shows that drought assessmentby watershed approach and the combination of various parameters can offer better understanding and better monitoring of agricultural drought conditions in developing countries.
机译:定期干旱影响全球发展中国家和发达国家,直接影响农业和依赖于水的其他生产力部门。然而,由于对农业依赖的结果,它在发展中国家,随着整体经济的表现,干旱与整体经济的表现高度相关。印度是世界上最脆弱的干旱受动国家之一,在过去五十年中每三年至少报告一次干旱。本文取得了一项尝试,通过解释和相关性,提供各种干旱致病参数的综合思想。由于国家甚至是一个不同覆盖物,土壤类型,作物类型等的单元太大了,亚流域水平评估已被认为是本研究的详细干旱评估。覆盖面积2756平方公里的地区,介于19°17'和20°00'纬度和82“30”和82°59°59°59°59'e Vongient在印度的Kalahandi区Bhawanipatna地区,被选为该研究地区。使用基于GIS的插值来分析标准化降水指数(SPI)分析了季节性干旱模式和干旱严重程度的时尚变异。产生归一化差异植被指数(NDVI)和归一化差异水指数(NDWI)以了解降水缺陷对植被活力和增长的影响。分析表明,流水评估,流域方法和各种参数的组合可以更好地理解和更好地监测发展中国家的农业干旱条件。

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