南亚历史干旱及其趋势:2000-2020年的时空分析

H. Kafle, Soni Khaitu, D. Gyawali, D. Shrestha, D. Koirala, M. Kamaruzzaman, Vimal Khawas, A. Rasheed, S. Sobue, Y. Yamaguchi
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摘要

每年,南亚国家都因洪水和干旱等极端气候而遭受农业产量下降。频繁的干旱抑制了农村经济,加剧了广泛的饥饿和向南亚城市的人口迁移(Miyan, 2015)。由于气候变化,预计该地区在长期内将经历气温上升和更频繁的极端天气事件(Trenberth et al., 2014)。由于缺乏足够的水文气象数据集、难以获得卫星产品以及缺乏训练有素的工作人员,大多数南亚国家不存在对干旱及其影响的准确预测和早期检测设施。这项研究试图通过使用开放获取卫星产品在区域范围内分析历史干旱条件来科学地解决这些缺陷。干旱严重程度指数(DSI)已被用于评估2000 - 2020年的气象干旱,并为南亚地区编制干旱严重程度图。DSI的结果进一步与尼泊尔和孟加拉国的标准化降水指数(SPI)进行了比较。结果表明,季风前的几个月是南亚国家经历严重到中度干旱的最干旱时期。
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Historical drought and its trend in South Asia: Spatial and temporal analysis 2000-2020
Every year, South Asian countries suffer from declining agricultural outputs due to climate extremes such as floods and droughts. Recurrent droughts have depressed rural economies and enhanced widespread hunger and human migration to South Asian cities (Miyan, 2015). Due to climatic changes, the region is projected to experience rising temperatures and more frequent extreme weather events in the long term (Trenberth et al., 2014). Accurate predictions of drought, its impact, and early detection facilities are not present in most South Asian countries due to a lack of sufficient hydro-meteorological datasets, poor access to satellite products, and shortages of well-trained staff. This study seeks to address these deficiencies scientifically by analysing historical drought conditions on a regional scale using open-access satellite products. The Drought Severity Index (DSI) has been employed to assess meteorological droughts from 2000 to 2020 and to prepare drought severity maps for the South Asian region. Results from DSI were further compared with the Standardised Precipitation Index (SPI) in Nepal and Bangladesh. The results identified pre-monsoon months as the driest period in South Asian countries experiencing severe to moderate drought.
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