首页> 外文会议>International Commission on Irrigation and Drainage;International congress on irrigation and drainage >EVALUATION OF REGCM REGIONAL MODEL FOR ESTIMATING POTENTIAL EVAPOTRANSPIRATION IN NORTHEAST OF IRAN UNDER CLIMATE CHANGE SCENARIOS
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EVALUATION OF REGCM REGIONAL MODEL FOR ESTIMATING POTENTIAL EVAPOTRANSPIRATION IN NORTHEAST OF IRAN UNDER CLIMATE CHANGE SCENARIOS

机译:气候变化情景下伊朗东北部潜在蒸散量的REGCM区域模型评价

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In most arid regions, where fresh water scarcity is a major threat to sustainability of agriculturalproduction irrigation consumes a major part of the fresh water resources. Therefore,determining the agricultural water demand is a prerequisite for developing fundamentalinfrastructure, and effi ciently managing the allocation of water as well. Accurate estimation ofevapotranspiration (ET) or crop water requirements is one of the main challenges in agriculturalwater management. In the recent years, by development of global and regional climatemodels, long-term predictions of weather parameters affecting evapotranpiration have beendone more easily. In this study, the ability of RegCM3 regional climate model in modelling thepotential evapotranspiration (ETo) in Kashafrud basin, northeast of Iran, has been evaluatedduring the base period of 1961 to 1985 and future period 2021-2035. Due to lack of measuredamount of ET, the Penman–Monteith (P-M) equation was chosen to estimate actual valuesof ET in base period. There are two synoptic stations in study area, namely Mashhad andGolmakan. Since Golmakan station has been established in 1984, it has limited historicaldata in base period; therefore it was excluded from the study. For initialization of the RegCM3model, boundary condition data from EH5OM General Circulation Model (GCM) was used asinitial and boundary conditions data to feed the RegCM3 regional model. Future predictions ofevapotranspiration were done under A1B emission scenario. Spatial resolution of 50 km wasconsidered for the model. Based on the assumed conditions in running the model, the resultsshowed that the non-post-processed RegCM model outputs cannot be used for estimation ofpotential evapotranspiration, but after the post processing using multivariate regression, resultswere more close to those calculated by P-M equation. Temperature and radiation parametershave been considered as independent variables in the multiple regression models to performpost-processing. The results showed that the mean annual evapotranspiration in the futureperiod (787.54 mm) will be increased by 2.34% comparing to the base period (769.59mm). Inoverall, the average potential evapotranspiration will be increased in the months of January,March, April, May, July, September, October, December, and decreased in months February,June, August and November compared to the base period. The fi ndings of this study revealedthat the maximum evapotranspiration in the future period will be in July while in the baseperiod the maximum amount of evapotranspiration occur in June.
机译:在大多数干旱地区,淡水短缺是农业可持续发展的主要威胁 生产灌溉消耗了淡水资源的很大一部分。所以, 确定农业用水需求是发展基础农业的前提 基础设施,并有效管理水资源分配。准确估算 蒸散(ET)或作物需水量是农业的主要挑战之一 水管理。近年来,随着全球和区域气候的发展 模型,对影响蒸散量的天气参数进行了长期预测 做起来更容易。在这项研究中,RegCM3区域气候模型在建模中的能力 评估了伊朗东北部Kashafrud盆地的潜在蒸散量(ETo) 在1961年至1985年的基准期间以及2021-2035年的未来期间。由于缺乏测量 ET的量,选择Penman–Monteith(P-M)方程来估算实际值 基期的ET数量。研究区域有两个天气观测站,分别是Mashhad和 高尔马坎。自1984年建立Golmakan站以来,它的历史一直很有限 基本期间的数据;因此将其排除在研究范围之外。用于RegCM3的初始化 模型,使用EH5OM通用循环模型(GCM)的边界条件数据作为 初始条件和边界条件数据,以提供给RegCM3区域模型。未来的预测 在A1B排放情景下进行了蒸散。 50 km的空间分辨率为 考虑用于模型。根据运行模型的假定条件,结果 表明非后处理的RegCM模型输出不能用于估计 潜在的蒸散量,但经过多元回归后处理,结果 更接近于由P-M方程计算得出的结果。温度和辐射参数 在多元回归模型中被视为自变量以执行 后期处理。结果表明,未来平均年蒸散量 时间段(787.54毫米)将比基本时间段(769.59mm)增加2.34%。在 总体而言,一月份的平均潜在蒸散量将增加, 3月,4月,5月,7月,9月,10月,12月,并在2月的几个月中减少, 与基准期相比,六月,八月和十一月。研究发现 未来最大蒸发量将在7月,而在基准时间 期间最大的蒸散量发生在6月。

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