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Integration of hydrologic and water allocation models in basin-scale water resources management considering crop pattern and climate change: Karkheh River Basin in Iran

机译:考虑作物格局和气候变化的流域和水资源分配模型在流域规模水资源管理中的整合:伊朗卡尔赫河流域

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The paradigm of integrated water resources management requires coupled analysis of hydrology and water resources in a river basin. Population growth and uncertainties due to climate change make historic data not a reliable source of information for future planning of water resources, hence necessitating climate and landuse change impact studies. This work presents an integrated modeling approach by linking Soil and Water Assessment Tool (SWAT) and MODSIM. While SWAT produces hydrologic and water resources information, MODSIM provides a decision support system for water allocation. We used the coupled SWAT-MODSIM to analyze the effects of climate and cropping pattern changes on agricultural and hydroenergy production in the Karkheh River Basin, a semiarid region in south-west of Iran. Cropping patterns were considered by limiting the cereal production to 50 % (S1, near to historic), 17 % (S2), and 83 % (S3) of total agricultural areas. The future climate was provided by the Canadian Global Coupled Model (CGCM 3.1 version T63) for A1B, A2, and B1 scenarios. The results showed that based on future climate changes and landuse scenarios, wheat production had a large variation in five economically important agricultural regions ranging from 33,000 ton year(-1) (S2-A1B) to 74,000 ton year(-1) (S3-A2). Similarly, energy production, while increasing from 614 to 1,100 GWH in A2, decreased from 614 to 464 GWH in B1 climate scenario. Our analyses indicate that cropping pattern change can be used as an effective tool to adapt to the negative impacts of climate change.
机译:水资源综合管理的范式要求对流域的水文和水资源进行耦合分析。由于气候变化而导致的人口增长和不确定性使历史数据无法成为未来水资源规划的可靠信息来源,因此需要进行气候和土地利用变化影响研究。这项工作通过链接土壤和水评估工具(SWAT)和MODSIM提出了一种集成的建模方法。在SWAT生成水文和水资源信息的同时,MODSIM提供了用于水资源分配的决策支持系统。我们使用耦合的SWAT-MODSIM分析了伊朗西南部半干旱地区Karkheh流域的气候和耕作方式变化对农业和水能发电的影响。通过将谷物产量限制在农业总面积的50%(S1,接近历史水平),17%(S2)和83%(S3)来考虑种植方式。加拿大全球耦合模型(CGCM 3.1版本T63)为A1B,A2和B1情景提供了未来的气候。结果表明,根据未来的气候变化和土地利用情景,五个经济重要农业地区的小麦产量差异很大,范围从33,000吨年(-1)(S2-A1B)到74,000吨年(-1)(S3- A2)。同样,能源产量在A2中从614 GWH增加到1,100 GWH,而在B1气候方案中从614减少到464 GWH。我们的分析表明,种植方式的变化可以用作适应气候变化负面影响的有效工具。

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