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Drought Forecasting using SPI and EDI under RCP-8.5 Climate Change Scenarios for Langat River Basin, Malaysia

机译:马来西亚兰卡河流域的rcp-8.5气候变化场地利用SPI和EDI的干旱预测

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In Malaysia, droughts often lead to water deficit and overcoming a lack of fresh water has become one of the important challenges in the country. Climate change have brought about a big environmental impact globally, such as the rise in sea levels, unavailability of fresh portal water and more extreme drought and flood events occurring and Malaysia is no different and not spared all this calamities. The Langat River Basin is located in a fast growing region in Peninsular Malaysia, the Greater Kuala Lumpur Valley and hence the implementation of the drought index in this basin is vital important and necessary. Normally drought characteristics can be determined or identified using the drought indices. The two drought indices were used in this study, namely the SPI (Standardized Precipitation Index) and the EDI (Effective Drought Index) to assess the severity, duration and extend of drought event. The CanESM2 outputs under Representative Concentration Pathway (RCP) 8.5 emission scenario of IPCC Fifth Assessment Report (AR5) were utilized to produce regionalized precipitation and temperature data. The GCM outputs were statistically downscaled using the Statistical Downscaling Model (SDSM) version 4.2.9. Next, the SPI for time scale period of 1-month, 6-months and 12-months (SPI-1, SPI-6 and SPI-12) and EDI were calculated for both the observed and statistically downscaled climate data to investigate and analyze the severity and extent of drought. Both indices were compared to get a more operational index between SPI-1, SPI-6, SPI-12 and EDI outlook for representing Malaysia drought events.
机译:在马来西亚,干旱往往导致水资源赤字和克服缺乏淡水已成为该国的重要挑战之一。气候变化带来了全球性的大环境影响,如海平面的兴起,新鲜门户水的不可用和更极端的干旱和洪水事件发生,马来西亚并不不同,而不是幸免于所有这些灾难。 Langat River Bourin位于半岛马来西亚的快速生长地区,吉隆坡山谷大吉隆坡山谷,因此该盆地的干旱指数实施至关重要,必要。通常可以使用干旱指数确定或识别出现干旱特性。本研究中使用了这两个干旱指数,即SPI(标准化降水指数)和EDI(有效干旱指数),以评估干旱事件的严重程度,持续时间和延伸。利用IPCC第五评估报告(AR5)的代表浓度途径(RCP)8.5发射方案的Canesm2输出来产生区域化降水和温度数据。使用统计缩小模型(SDSM)4.2.9版,GCM输出在统计上缩小。接下来,针对观察到的和统计上较低的气候数据计算和分析,计算了1个月,6个月和12个月(SPI-1,SPI-6和SPI-12)和EDI的时间标度周期的SPI。干旱的严重程度和程度。将两个指数进行比较,以获得SPI-1,SPI-6,SPI-12和EDI Outlook代表马来西亚干旱事件的更具运营指数。

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