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Using climate scenarios to evaluate future impacts on the groundwater resources and agricultural economy of the Texas High Plains

机译:使用气候情景评估德克萨斯州高平原地区未来对地下水资源和农业经济的影响

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This study evaluated the impacts of future climate scenarios on the groundwater resources and agricultural economy of the Texas High Plains, using Hale county as a case study. Climate change impacts were incorporated into regional economic models using weather projections to develop crop response functions from crop models. These projections are based on quantitative projections of precipitation, potential evapotranspiration, and temperature trends driven by simulations from the latest IPCC AR4 climate models (Community Climate System Model (CCSM), Geophysical Fluid Dynamics Laboratory (GFDL), UK Met Office Hadley Model (HadCM3), and Parallel Climate Model (PCM)) under two specific emissions scenarios, A1B (mid-range) and A1FI (higher). Results indicated that for both the emission scenarios, saturated thickness, water use per cropland acre, and irrigated acreage declined under climatic predictions by all four models. At the end of the 90 year horizon, the A1B scenario resulted in a decline in average net income per acre as predicted by the CCSM and HadCM3 models, while the GFDL and PCM models predicted an increase in average net income per acre. Under the A1FI scenario, the CCSM, GFDL, and PCM model projections led to increased average net income per acre, while climate projections under the HadCM3 model indicated a decline in average net income per acre at the end of the 90 year horizon.
机译:这项研究以黑尔县为例,评估了未来气候情景对德克萨斯高平原地下水资源和农业经济的影响。使用天气预报将气候变化的影响纳入区域经济模型,以根据作物模型开发作物响应函数。这些预测基于对降水,潜在蒸散量和温度趋势的定量预测,这些预测是根据最新IPCC AR4气候模型(社区气候系统模型(CCSM),地球物理流体动力学实验室(GFDL),英国气象局Hadley模型(HadCM3) )和并行气候模型(PCM))在两种特定的排放情景下,即A1B(中档)和A1FI(更高)。结果表明,对于这两种排放情景,在所有四种模式的气候预测下,饱和厚度,每耕地英亩的用水量和灌溉面积均下降。在90年的展望期末,如CCSM和HadCM3模型所预测的,A1B情景导致每英亩平均净收入下降,而GFDL和PCM模型预测每英亩平均净收入将增加。在A1FI情景下,CCSM,GFDL和PCM模型预测导致每英亩平均净收入增加,而HadCM3模型下的气候预测表明,到90年末,平均每英亩平均净收入将下降。

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