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DROUGHT HAZARD ZONATION USING GIS BASED MULTI- CRITARIA EVALUATION APPROACH WITH REMOTELY SENSED DATASETS

机译:基于GIS的遥感数据集多临界评价方法在干旱灾害分区中的应用。

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Drought is an intricate phenomenon governed by several atmospheric factors such as precipitation, temperature, evapotranspiration, soil moisture, vegetation cover, stream flow etc. To monitor drought hazard, several criteria and factors will need to be evaluated. The main objective of this study was to evolve a drought hazard map with the selected five main parameters viz., standardized precipitation index, land surface temperature, soil moisture, evapotranspiration and normalized difference vegetation index during the monsoon period from 2002 to 2014 employing GIS aided multi-criteria evaluation (MCE) technique. To standardized the input data layers and deciding the factors weight for the MCE, analytical hierarchy process (AHP) approach was applied. Bundelkhand region of Uttar Pradesh was selected for this study, as drought is very frequent and dominant here. The results depicted that about 55.9% and 7.5% of the total area is classified under high and extreme drought hazard zone respectively however, about 36.59% of the total area found to be the least vulnerable (moderate to low) to drought hazard. Central parts of the region namely Jhansi, Mahoba, Jalaun and Hamirpur districts are highly affected by drought condition. Based on finding of this study we recommend the use of MCE techniques for effective and precise drought hazard zonation.
机译:干旱是一种复杂的现象,受降水,温度,蒸散量,土壤湿度,植被覆盖,水流等多种大气​​因素的影响。要监测干旱的危害,需要评估若干标准和因素。这项研究的主要目的是利用GIS辅助方法,在2002年至2014年的季风期间,用选定的五个主要参数,即标准化降水指数,地表温度,土壤湿度,蒸散量和归一化差异植被指数,绘制干旱灾害图。多标准评估(MCE)技术。为了标准化输入数据层并确定MCE的因素权重,应用了层次分析法(AHP)。本研究选择了北方邦的邦德尔坎德地区,因为这里的干旱非常频繁且占主导地位。结果表明,总面积的约55.9%和7.5%分别划为干旱高危区域和极端干旱危险区,但是,总面积的约36.59%被发现最不易受干旱危害(中度至低度)。该地区的中部地区,即詹西(Jhansi),马霍巴(Mahoba),贾劳(Jalaun)和哈米尔布尔(Hamirpur)地区,都受到干旱的严重影响。基于这项研究的结果,我们建议使用MCE技术进行有效而精确的干旱危害分区。

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