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首页> 外文期刊>Hydrology and Earth System Sciences >Including the dynamic relationship between climatic variables and leaf area index in a hydrological model to improve streamflow prediction under a changing climate
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Including the dynamic relationship between climatic variables and leaf area index in a hydrological model to improve streamflow prediction under a changing climate

机译:在水文模型中纳入气候变量与叶面积指数之间的动态关系,以改善气候变化下的水流预报

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Anthropogenic climate change is projected to enrich the atmosphere withcarbon dioxide, change vegetation dynamics and influence the availability ofwater at the catchment scale. This study combines anonlinear model for estimatingchanges in leaf area index (LAI) due to climatic fluctuations with thevariable infiltration capacity (VIC) hydrological model to improve catchmentstreamflow prediction under a changing climate. The combined model wasapplied to 13 gauged sub-catchmentswith different land cover types (crop, pasture and tree) in theGoulburn–Broken catchment, Australia, for the "Millennium Drought"(1997–2009) relative to the period 1983–1995, and for two future periods(2021–2050 and 2071–2100) and two emission scenarios (RepresentativeConcentration Pathway (RCP) 4.5 and RCP8.5) which were compared with thebaseline historical period of 1981–2010. This region was projected to bewarmer and mostly drier in the future as predicted by 38 Coupled ModelIntercomparison Project Phase 5 (CMIP5) runs from 15 global climate models(GCMs) and for two emission scenarios. The results showed that during theMillennium Drought there was about a 29.7–66.3 % reduction in meanannual runoff due to reduced precipitation and increased temperature. Whendrought-induced changes in LAI were included, smaller reductions in meanannual runoff of between 29.3 and 61.4 % were predicted. The proportionalincrease in runoff due to modeling LAI was 1.3–10.2 % relative to notincluding LAI. For projected climate change under the RCP4.5 emissionscenario, ignoring the LAI response to changing climate could lead to afurther reduction in mean annual runoff of between 2.3 and 27.7 % in thenear-term (2021–2050) and 2.3 to 23.1 % later in the century(2071–2100) relative to modeling the dynamic response of LAI toprecipitation and temperature changes. Similar results (near-term2.5–25.9 % and end of century 2.6–24.2 %) were found for climatechange under the RCP8.5 emission scenario. Incorporating climate-inducedchanges in LAI in the VIC model reduced the projected declines in streamflowand confirms the importance of including the effects of changes in LAI infuture projections of streamflow.
机译:预计人为的气候变化将使大气中充满二氧化碳,改变植被动态并影响集水区规模的水供应。这项研究将用于估计由于气候波动而引起的叶面积指数(LAI)变化的非线性模型与可变渗透能力(VIC)水文模型相结合,以改善气候变化下的集水流量预测。该组合模型被应用于澳大利亚古尔本-破碎的集水区的13个不同地表类型(作物,牧场和树木)的子集水区,用于相对于1983-1995年的“千年干旱”(1997-2009),以及将这两个未来时期(2021-2050和2071-2100)和两个排放情景(代表浓度途径(RCP)4.5和RCP8.5)与1981-2010年的基准历史时期进行了比较。 38个耦合模型比对项目第5阶段(CMIP5)从15个全球气候模型(GCM)得出了两种排放情景,预计该地区在未来会变得更温暖和干燥。结果表明,在千年干旱期间,由于降水减少和温度升高,年均径流量减少了约29.7-66.3%。当包括干旱引起的LAI变化时,预计年均径流量减少幅度较小,为29.3%至61.4%。与不包括LAI相比,通过模型LAI导致的径流成比例增加为1.3-10.2%。对于RCP4.5排放情景下的预计气候变化,忽略LAI对气候变化的反应可能导致短期(2021-2050)年平均径流量进一步减少2.3%至27.7%,而在后期(2021–2050年)减少2.3%至23.1%。相对于模拟LAI对降水和温度变化的动态响应的世纪(2071-2100)。在RCP8.5排放情景下,气候变化的结果相似(近期为2.5-25.9%,本世纪末为2.6-24.2%)。在VIC模型中纳入气候变化引起的LAI减少了预计的流量下降,并确认了将LAI未来流量预测变化的影响包括在内的重要性。

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