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首页> 外文期刊>Climatic Change >Monte Carlo assessment of sampling uncertainty of climate change impacts on water resources yield in Yorkshire, England.
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Monte Carlo assessment of sampling uncertainty of climate change impacts on water resources yield in Yorkshire, England.

机译:蒙特卡洛评估了英格兰约克郡气候变化对水资源产量的影响的不确定性抽样。

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Despite much effort over the last decade, there still remain many uncertainties in the assessed impacts of climate change on water resources. This study has carried out Monte Carlo Simulations to characterise the sampling uncertainties in assessed water resources impacts. The investigation employed data from catchments in northeast England, which incorporate water supply reservoirs. The impacts assessment used scenarios from three GCM experiments: (i) the Canadian first generation coupled model (CGCM1), (ii) the Australian first generation coupled model (CSIRO-mk2b) and (iii) the British third generation model (HadCM3). The results showed that yield impacts are subject to wide variability, irrespective of the GCM experiment, which calls for caution when using mean impacts obtained from single data record analysis for decision making..
机译:尽管在过去十年中付出了很多努力,但气候变化对水资源的影响评估仍然存在许多不确定性。这项研究进行了蒙特卡洛模拟,以表征评估水资源影响中的抽样不确定性。该调查采用了英格兰东北部集水区的数据,其中包括供水水库。影响评估使用了来自三个GCM实验的情景:(i)加拿大第一代耦合模型(CGCM1),(ii)澳大利亚第一代耦合模型(CSIRO-mk2b)和(iii)英国第三代耦合模型(HadCM3)。结果表明,不管GCM实验如何,产量影响都具有很大的可变性,在使用从单个数据记录分析获得的平均影响进行决策时,需要谨慎。

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