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Quantifying uncertainty in the impacts of climate change on river discharge in sub-catchments of the Yangtze and Yellow River Basins, China

机译:量化中国长江和黄河流域子流域气候变化对河流流量影响的不确定性

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摘要

Quantitative evaluations of the impacts of climate change on water resources are primarily constrained by uncertainty in climate projections from GCMs. In this study we assess uncertainty in the impacts of climate change on river discharge in two catchments of the Yangtze and Yellow River Basins that feature contrasting climate regimes (humid and semi-arid). Specifically we quantify uncertainty associated with GCM structure from a subset of CMIP3 AR4 GCMs (HadCM3, HadGEM1, CCSM3.0, IPSL, ECHAM5, CSIRO, CGCM3.1), SRES emissions scenarios (A1B, A2, B1, B2) and prescribed increases in global mean air temperature (1 degrees C to 6 degrees C). Climate projections, applied to semi-distributed hydrological models (SWAT 2005) in both catchments, indicate trends toward warmer and wetter conditions. For prescribed warming scenarios of 1 degrees C to 6 degrees C, linear increases in mean annual river discharge, relative to baseline (19611990), for the River Xiangxi and River Huangfuchuan are + 9% and 11% per + 1 degrees C respectively. Intra-annual changes include increases in flood (Q05) discharges for both rivers as well as a shift in the timing of flood discharges from summer to autumn and a rise (24 to 93%) in dry season (Q95) discharge for the River Xiangxi. Differences in projections of mean annual river discharge between SRES emission scenarios using HadCM3 are comparatively minor for the River Xiangxi (13 to 17% rise from baseline) but substantial (73 to 121%) for the River Huangfuchuan. With one minor exception of a slight (-2%) decrease in river discharge projected using HadGEM1 for the River Xiangxi, mean annual river discharge is projected to increase in both catchments under both the SRES A1B emission scenario and 2 degrees rise in global mean air temperature using all AR4 GCMs on the CMIP3 subset. For the River Xiangxi, there is substantial uncertainty associated with GCM structure in the magnitude of the rise in flood (Q05) discharges (-1 to 41% under SRES A1B and -3 to 41% under 2 degrees global warming) and dry season (Q95) discharges (2 to 55% under SRES A1B and 2 to 39% under 2 degrees global warming). For the River Huangfuchuan, all GCMs project a rise in the Q05 flow but there is substantial uncertainty in the magnitude of this rise (7 to 70% under SRES A1B and 2 to 57% under 2 degrees global warming). Differences in the projected hydrological changes are associated with GCM structure in both catchments exceed uncertainty in emission scenarios. Critically, estimated uncertainty in projections of mean annual flows is less than that calculated for extreme (Q05, Q95) flows. The common approach of reporting of climate change impacts on river in terms of mean annual flows masks the magnitude of uncertainty in flows that are of most importance to water management.
机译:气候变化对水资源影响的定量评估主要受到来自GCM的气候预测不确定性的限制。在这项研究中,我们评估了长江流域和黄河流域两个流域(气候和半干旱地区)的气候变化对气候变化的影响的不确定性。具体来说,我们从CMIP3 AR4 GCM(HadCM3,HadGEM1,CCSM3.0,IPSL,ECHAM5,CSIRO,CGCM3.1),SRES排放情景(A1B,A2,B1,B2)和规定的增加量中量化与GCM结构相关的不确定性全球平均气温(1摄氏度至6摄氏度)。将气候预测应用于两个流域的半分布式水文模型(SWAT,2005年),表明气候变暖和变湿的趋势。在规定的1摄氏度到6摄氏度的变暖情景下,湘西河和皇甫川河的年平均河流量相对于基准线(19611990)线性增加,分别为每+1摄氏度+ 9%和11%。年内变化包括两条河流的洪水(Q05)流量增加,以及夏季到秋季的洪水排放时间的变化以及湘西河的旱季(Q95)流量的增加(24%至93%)。 。使用HadCM3的SRES排放情景之间的年均河流量预测差异在湘西河中相对较小(比基准线增加13%至17%),而在黄府川河中则较大(73%至121%)。除了一个小例外,使用HadGEM1预测湘西河的河流量将略有下降(-2%),在SRES A1B排放情景下,两个集水区的年均河流量预计将增加,而全球平均空气将上升2度使用CMIP3子集上的所有AR4 GCM调节温度。对于湘西河,在洪水(Q05)流量(SRES A1B下为-1%至41%,全球变暖2度下为-3%至41%)和旱季(Q05)的上升幅度方面,与GCM结构有关的不确定性很大。 Q95)排放(在SRES A1B下为2至55%,在全球变暖2度下为2至39%)。对于皇甫川河来说,所有GCM都预测Q05流量会增加,但是这种上升的幅度存在很大的不确定性(SRES A1B下为7%至70%,全球变暖2度下为2%至57%)。两个流域的预估水文变化差异与GCM结构有关,超过了排放情景的不确定性。至关重要的是,平均年流量预测中的估计不确定性要小于极端流量(Q05,Q95)的估计不确定性。就年均流量而言,报告气候变化对河流影响的通用方法掩盖了对水资源管理最重要的流量不确定性。

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