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首页> 外文期刊>TERI Information Digest on Energy and Environment >Development of hydro-meteorological drought index under climate change -semi-arid river basin of Peninsular India
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Development of hydro-meteorological drought index under climate change -semi-arid river basin of Peninsular India

机译:气候变化下水力气象干旱指数的发展 - 半岛印度的清真河流域

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摘要

Univariate meteorological drought indices are inadequate to represent the complexity of hydrological conditions under the intensification of hydrological cycle due to climate change at catchment scale. In this study, standardized precipitation actual evapotranspiration index (SPAEI) was proposed, which can combine both meteorological and hydrological drought characteristics at catchment scale. The proposed new drought index considers the hydrologically calibrated AET to account for the water use in addition to meteorological effect. The proposed hydrometeorological drought index has the potential in identifying meteorological and hydrological drought events accounting for the time-lag effects and comparable with Global Land Evaporation Amsterdam Model (GLEAM) remote sensing AET data-based drought index. The PET-based drought index of SPEI, which is based on energy demand, has shown intensified drought characteristics compared to SPAEI_(Hydro) ,which is based on both energy demand and available moisture supply and can be a promising variable in the drought estimation. The climate change projections of precipitation and temperatures downscaled using statistical downscaling model based on K-means clustering, classification and regression trees and support vector regression were used using three general circulation model outputs. Intensified drought characteristics under climate change has been predicted over Krishna River basin, India in terms of increase in drought areal extent of about 25-31 %, with increase of drought frequency as 5 years per 20 years and durations as 4-5 months based on the proposed hydrometeorological drought index of SPAEI_(Hydro).
机译:单变量气象干旱指数不足以代表由于集水区的气候变化导致水文周期增强的水文条件的复杂性。在该研究中,提出了标准化沉淀实际蒸发指数(SPAEI),其可以将气象和水文干旱特征结合在集水区。拟议的新干旱指数考虑水文校准的AET,以考虑除气象效应外的用水。拟议的水流气动干旱指数具有识别气象和水文干旱事件的潜力,核算时间滞后效果,与全球陆地蒸发阿姆斯特丹模型(GLEAM)遥感AET基于数据的干旱指数相当。与Spaei_(Hydro)相比,基于能量需求的Spei的宠物干旱指数表明,与Spaei_(Hydro)相比,这是基于能源需求和可用水分供应,并且可以成为干旱估算中有希望的变量。使用基于K-Means聚类,分类和回归树的统计缩小模型和支持向量回归缩小的降水和温度的气候变化预测是使用三个一般循环模型输出。印度克里希纳河流域的克里希纳河流域的加剧性干旱特征是在克里希纳河流域的增加约25-31%,随着每20年5年的5年,持续时间为4-5个月拟议的水质气象干旱指数Spaei_(Hydro)。

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    Shaik R; Naidu G S;

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    Spatial Informatics International Institute of Information Technology Hyderabad 500032 India;

    Spatial Informatics International Institute of Information Technology Hyderabad 500032 India;

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