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Revisiting climatic classification in India: a district-level analysis.

机译:回顾印度的气候分类:地区层面的分析。

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Often geographical boundaries of the climatic zones identified differ from the administrative boundaries. Eventually planners and administrators are unable to use these classifications while formulating new developmental programmes. Though few studies attempted to bring the climatic classification to district level in the past, the climatic datasets used in such studies were found to be relatively old. Climate change literature pertaining to India showed evidence of rising mean temperatures during post-1970 period. The temperature rise affects potential evapotranspiration and consequently the aridity is expected to increase at least at macro level though there may be spatial variation at a smaller geographical scale. In the present study, an attempt has been made to assess the climate at district level using latest data and examine climatic shift occurred, if any, as compared to the climatic classification given by Krishnan in 1988. The study used 0.5 0.5 grid level rainfall data and average potential evapotranspiration for 144 stations located across India to compute moisture index needed for delineation of different climatic zones. Both datasets refer to the period 1971-2005. Significant reflections resulting from the study indicated a substantial increase of arid region in Gujarat and, a decrease of arid region in Haryana. Other notable observations included the increase in semi-arid region in Madhya Pradesh, Tamil Nadu and Uttar Pradesh due to shift of climate from dry sub-humid to semi-arid. Likewise, the moist sub-humid pockets in Chhattisgarh, Orissa, Jharkhand, Madhya Pradesh and Maharashtra states have turned dry sub-humid to a larger extent. Updated climatic classification of this sort at district level shall be useful to various stakeholders for agricultural planning, assessment of water demand by different sectors, drought preparedness, assessment of climate driven pests/diseases in humans, crops and livestock, etc.
机译:通常,所确定的气候区的地理边界不同于行政边界。最终,计划者和管理者在制定新的发展计划时无法使用这些分类。尽管过去很少有研究尝试将气候分类带入地区水平,但发现此类研究中使用的气候数据集相对较旧。有关印度的气候变化文献显示,1970年后平均气温上升的证据。温度升高会影响潜在的蒸散量,因此尽管在较小的地理范围内可能存在空间变化,但干旱至少有望在宏观水平上增加。在本研究中,与1988年克里希南(Krishnan)给出的气候分类相比,已经尝试使用最新数据评估地区水平的气候并检查是否发生了气候变化。该研究使用0.5 0.5网格水平的降雨数据印度各地144个站点的平均潜在蒸散量,以计算出描绘不同气候区所需的水分指数。这两个数据集都引用了1971-2005年。该研究得出的重要结论表明,古吉拉特邦的干旱地区大量增加,哈里亚纳邦的干旱地区减少。其他值得注意的观察结果包括中央邦,泰米尔纳德邦和北方邦的半干旱地区由于气候从干燥的半湿润地区向半干旱地区转移而增加。同样,恰蒂斯加尔邦,奥里萨邦,贾坎德邦,中央邦和马哈拉施特拉邦的潮湿半湿润地区已将干旱半湿润程度更大。在地区一级更新的这种气候分类将对各利益相关者进行农业规划,评估不同部门的用水需求,干旱准备,评估人类,农作物和牲畜的气候驱动病虫害/疾病等有益。

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