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Meteorological drought in Bangladesh: assessing, analysing and hazard mapping using SPI, GIS and monthly rainfall data

机译:孟加拉国的气象干旱:使用SPI,GIS和月降雨量数据进行评估,分析和危害绘图

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This study focused on assessing and analysing meteorological drought characteristics of Bangladesh based on rainfall, standardized precipitation index (SPI) and geographic information system (GIS). SPI and monthly rainfall time series dataset for the period of 1971-2010 were used to define the drought years and severity. GIS techniques, along with inverse distance weighted interpolation, were used to determine the spatial pattern of drought. Drought occurrences with severity were analysed based on 3-month (SPI-3 January and SPI-3 April) and 6-month (SPI-6 April) time scales. Drought occurrence maps were generated in GIS environment by summarizing the percentage of drought occurrence for each category and for each time scale. For drought hazard mapping, a drought hazard index was computed from 34 observation stations using analytical hierarchy process, weighted sum method and drought occurrence with different severities at different time scales. Afterwards, index values were interpolated and classified into four hazard levels viz. low, moderate, high and very high. This study pointed out that 1972, 1978, 1981, 1982, 1995, 1997, 1999, 2004, 2006 and 2010 were the most drought-affected years since 1971, and 1972, 1978, 1982, 1995, 1999 and 2006 were the worst drought years based on severity. In the last two decades, Bangladesh had high numbers of severe and extreme droughts. Drought occurrences showed that during the study period, comparatively moderate drought occurred more frequently than severe and extreme. The time scale SPI-3 January was more prone to severe drought occurrence while the time scale SPI-3 April was more prone to extreme drought occurrence. The northern, north-western, western, south-western and central parts were the most drought-prone areas of the country in terms of occurrence and severity. Low annual and seasonal rainfall, high variability in rainfall and climate change impacts, and particularly increased maximum temperatures greatly influence droughts in Bangladesh. On the other hand, drought hazard maps of SPI-3 January, SPI-3 April and SPI-6 April showed that high and very high hazardous areas were located in the north-west, west and south-west parts of the country. The Rajshahi, Dinajpur, Rangpur, Bogra, Kushtia were the most drought-prone districts (under very high hazard zone) of the country. The districts Jamalpur, Pabna, Jessore, Khulna, Mymensingh and Tangail were also identified as drought hazardous districts (under high hazard zone). Thus, these parts of the country require urgent intervention on a priority basis to mitigate drought impacts.
机译:本研究的重点是基于降雨,标准化降水指数(SPI)和地理信息系统(GIS)评估和分析孟加拉国的气象干旱特征。利用SPI和1971-2010年的每月降雨时间序列数据集来确定干旱年份和严重程度。 GIS技术与反距离加权插值一起用于确定干旱的空间格局。根据3个月(1月SPI-3和4月SPI-3)和6个月(4月SPI-6)的时间尺度分析了干旱的严重程度。通过汇总每个类别和每个时间尺度的干旱发生百分比,在GIS环境中生成了干旱发生图。对于干旱灾害制图,使用层次分析法,加权求和法和在不同时间尺度以不同严重程度干旱发生,从34个观测站计算出干旱灾害指数。之后,对指标值进行插值并将其分为四个危险等级。低,中,高和非常高。该研究指出,1972年,1978年,1981年,1982年,1995年,1997年,1999年,2004年,2006年和2010年是自1971年以来受干旱影响最大的年份,而1972年,1978年,1982年,1995年,1999年和2006年则是干旱最严重的年份年根据严重程度。在过去的二十年中,孟加拉国发生了大量的严重干旱和极端干旱。干旱发生表明,在研究期间,相对中等的干旱发生频率高于严重和极端干旱。时间尺度SPI-3 1月更容易发生严重干旱,而时间尺度SPI-3 4月更容易发生极端干旱。就发生和严重程度而言,北部,西北,西部,西南和中部是该国最容易干旱的地区。年度和季节降雨少,降雨和气候变化影响的变化多,尤其是最高温度升高,极大地影响了孟加拉国的干旱。另一方面,1月SPI-3、4月SPI-3和4月SPI-6的干旱危害图显示,该国的西北,西部和西南部分别有高危和高危地区。拉杰沙希(Rajshahi),迪纳杰布尔(Dinajpur),朗布尔(Rangpur),博格拉(Bogra),库什蒂亚(Kushtia)是该国最干旱的地区(处于非常高的危险区)。 Jamalpur,Pabna,Jessore,Khulna,Mymensingh和Tangail地区也被确定为干旱危险地区(处于高危险区之下)。因此,该国这些地区需要优先进行紧急干预,以减轻干旱的影响。

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