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Vulnerability and impact assessment of extreme climatic event: A case study of southern Punjab, Pakistan

机译:极端气候事件的脆弱性和影响评估:以巴基斯坦旁遮普南部为例

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Understanding of frequency, severity, damages and adaptation costs of climate extremes is crucial to manage their aftermath. Evaluation of PRECIS RCM modelled data under IPCC scenarios in Southern Punjab reveals that monthly mean temperature is 30℃ under A2 scenario, 2.4 ℃ higher than A1B which is 27.6 ℃ in defined time lapses. Monthly mean precipitation under A2 scenario ranges from 12 to 15 mm and for Al B scenario it ranges from 15 to 19 mm. Frequency modelling of floods and droughts via poisson distribution shows increasing trend in upcoming decades posing serious impacts on agriculture and livestock, food security, water resources, public health and economic status. Cumulative loss projected for frequent floods without adaptation will be in the range of USD 66.8-79.3 billion in time lapse of 40 years from 2010 base case. Drought damage function @ 18% for A2 scenario and @ 13.5% for Al B scenario was calculated; drought losses on agriculture and livestock sectors were modelled. Cumulative loss projected for frequent droughts without adaptation under A2 scenario will be in the range of USD 7.5-8.5 billion while under A1B scenario it will be in the range of USD 3.5-42 billion for time lapse of 60 years from base case 1998-2002. Severity analysis of extreme events shows that situation get worse if adaptations are not only included in the policy but also in the integrated development framework with required allocation of funds. This evaluation also highlights the result of cost benefit analysis, benefits of the adaptation options (mean & worst case) for floods and droughts in Southern Punjab. Additionally the research highlights the role of integrated extreme events impact assessment methodology in performing the vulnerability assessments and to support the adaptation decisions. This paper is an effort to highlight importance of bottom up approaches to deal with climate change.
机译:了解气候极端事件的频率,严重性,破坏和适应成本对于管理其后果至关重要。在旁遮普邦南部IPCC情景下对PRECIS RCM模型数据的评估表明,在A2情景下,月平均温度为30℃,比A1B设定的时间推移27.6℃高2.4℃。在A2情景下,月平均降水量在12至15毫米之间;对于Al B情景,其月均降水量在15至19毫米之间。通过泊松分布对洪水和干旱进行频率建模显示,未来几十年的趋势呈上升趋势,对农业和畜牧业,粮食安全,水资源,公共卫生和经济状况产生了严重影响。自2010年基本案例算起的40年时间推移,如果不采取适应措施,频繁洪灾造成的累计损失预计将在668.793亿美元之间。计算了A2情景下@ 18%的干旱破坏函数和Al B情景下@ 13.5%的干旱破坏函数;对农业和畜牧业的干旱损失进行了建模。在1998年至2002年基本情况下,经过60年的时间推移,在A2情景下不适应的频繁干旱造成的累计损失预计将在7.5-85亿美元之间,而在A1B情景下则将在3.5-420亿美元之间。对极端事件的严重性分析表明,如果不仅在政策中包括适应措施,而且在需要资金分配的综合发展框架中纳入适应措施,情况也会变得更加糟糕。该评估还强调了成本效益分析的结果,针对旁遮普邦南部水灾和干旱的适应方案(最坏情况)的收益。此外,研究还强调了综合极端事件影响评估方法在执行脆弱性评估和支持适应性决策中的作用。本文旨在强调自下而上的方法应对气候变化的重要性。

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