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Evaluation of reference evapotranspiration methods for the northeastern region of India

机译:印度东北地区参考蒸散量方法的评价

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Highlights ? Radiation-based IRMAK3 and TURC models performed best among the selected models. ? FAO24 Blaney-Criddle is the only suitable temperature based method for the region. ? Performance of particular model is more subjected to it structure rather than type. ? In particular, FAO24BC and TURC performed better as compared to 1957MAKK model. ? Radiation and temperature extreme is the dominant factors to drive the ET0 process. Abstract The study planed to identify a suitable alternative to the FAO-56 Penman-Monteith (FAO56PM) equation for calculating reference evapotranspiration ( ET 0) from chosen temperature and radiation based models utilizing monthly meteorological data from 30 destinations in diverse agro-ecological regions of the Northeast (NE) India i.e., Assam Bengal Plain (ABP), eastern Himalaya (EH), and the northeastern hilly (NEH) region. Radiation-based IRMAK3 most appropriate in the ABP (weighted root mean square deviation, WRMSD=0.17?mm?d?1, r 2=0.98, for Nagrakata), and TURC model being in the first three rank of most of the sites, with the lowest error and highest correlation in NEH (WRMSD=0.10?mm?d?1, r 2=0.92, for Shillong), and EH (WRMSD=0.23?mm?d?1, r 2=0.95, for Gangtok). Findings reveal that IRMAK3 and TURC models performed equally well and were observed to be the best among selected models for the majority of stations followed by FAO24 Blaney-Criddle (FAO24BC), and 1957MAKK. Pair-wise regression equations were developed for preferred FAO56PM ET 0 estimates to ET 0 estimates by alternative methods. Cross-correlation of eighteen chose methods demonstrated that the five equations (i.e. four radiation- and one temperature-based) performed exceptionally well when contrasted with the FAO56PM model, thus being advised for assessing ET 0 under limiting data conditions as have yielded a better estimate of ET 0 with a small error. Keywords Reference evapotranspiration ; Performance statistics ; Calibration and validation ; Empirical methods ; North East ; India prs.rt("abs_end"); 1. Introduction Evapotranspiration is the integrated process of evaporation and transpiration and is affected by meteorological variables, crop characteristics, and management practices, as well as environmental characteristics. ET 0 is the water evaporated from a reference surface, and was presented to quantify evaporative demand of the atmosphere, independent of the crop growth parameters and management practices ( Allen, Pereira, Raes, & Smith (1998) and Zotarelli, Dukes, Romero, Migliaccio, & Morgan (2010) ). ET 0 is a highly nonlinear variable controlling varieties of issues in water management, hydrology, agriculture, irrigation scheduling, and proper planning of available fresh water resources. Among the different components of the hydrological cycle, a precise approximation of evapotranspiration is perhaps most difficult due to its complex interactions with the soil–plant–atmosphere system. The reliable estimation of ET 0 is essential to estimate the net irrigation requirement, regional water resources planning, and management and to model the climate change effect. The direct approach to quantify ET 0 is using lysimeter measurement, or it could be indirectly calculated using the energy balance approach (or empirical models). However, the lysimetric approach is time-consuming and requires precise instrumentation. The indirect approach (methods) is based on site specific meteorological data, altitude, and latitude. The FAO56PM method is the most suitable indirect approach for accurate estimation of ET 0 and evaluation of other empirical models ( Allen, Pereira, Raes, & Smith (1998) , Berti, Tardivo, Chiaudani, Rech, & Borin (2014) , Djaman et al. (2015) , Lima et al. (2013) , Pandey, Pandey, & Mahanta (2014) , Pereira, Allen, Smith, & Raes (2015) and Widmoser (2009) ). The FAO Irrigation & Drainage Paper No. 56, ( Allen et al., 1998 ), and ASCE Task Committee on Standardized Evapotranspiration Calculations ( ASCE-EWRI, 2005 ) recommended that the FAO56PM method could be used as a standard equation to calculate ET 0. The FAO56PM method was validated against lysimeter measured data in diverse climatic conditions worldwide and reported the best method for ET 0 estimation ( Allen et al. (2005) , ASCE-EWRI (2005) , DehghaniSanij, Yamamoto, & Rasiah (2004) , Ghamarnia, Mousabeyg, Amiri, & Amirkhani (2015) , Itenfisu, Elliott, Allen, & Walter (2003) , Jain, Nayak, & Sudheer (2008) , Mohan & Arumugam (1996) and Xu, Peng, Ding, Wei, & Yu (2013) ). Additionally, the FAO56PM now widely used as reference methods in the field of agronomy, irrigation water management, and other related fields for research purpose ( Alexandris, Kerkides, & Liakatas, 2006 ). The FAO56PM accounts for aerodynamic as well as physiological parameters
机译:强调 ?在所选模型中,基于辐射的IRMAK3和TURC模型表现最佳。 ? FAO24 Blaney-Criddle是该地区唯一基于温度的合适方法。 ?特定模型的性能更多地取决于其结构而不是类型。 ?特别是,与1957MAKK模型相比,FAO24BC和TURC表现更好。 ?辐射和极端温度是驱动ET0过程的主要因素。摘要该研究计划寻找一个合适的替代方法,以粮农组织和粮农组织的56 Penman-Monteith(FAO56PM)方程为基础,利用来自30个目的地的每月气象数据,从所选的基于温度和辐射的模型中计算参考蒸散量(ET 0 )在印度东北(NE)的各种农业生态区中,即阿萨姆邦孟加拉平原(ABP),喜马拉雅东部(EH)和东北丘陵(NEH)地区。基于辐射的IRMAK3最适合用于ABP(对于Nagrakata,加权均方根偏差,WRMSD = 0.17?mm?d ?1 ,r 2 = 0.98),以及TURC模型位于大多数站点的前三位,在NEH中具有最低的误差和最高的相关性(WRMSD = 0.10?mm?d ?1 ,r 2 对于Shillong = 0.92)和EH(对于Gangtok,WRMSD = 0.23?mm?d ?1 ,r 2 = 0.95)。研究结果表明,IRMAK3和TURC模型的表现同样出色,在大多数电台的选定模型中表现最佳,其次是FAO24 Blaney-Criddle(FAO24BC)和1957MAKK。通过替代方法,针对首选的FAO56PM ET 0 估计与ET 0 估计建立了成对回归方程。十八种选择方法的互相关性表明,与FAO56PM模型相比,这五个方程(即四个基于辐射和一个基于温度的)的表现特别好,因此建议在限制数据下评估ET 0 条件可以更好地估计ET 0 ,误差很小。关键词参考蒸散;绩效统计;校准和确认;实证方法;东北;印度prs.rt(“ abs_end”); 1.引言蒸散作用是蒸发和蒸腾作用的综合过程,受气象变量,作物特性,管理措施以及环境特性的影响。 ET 0 是从参考表面蒸发的水,被提出以量化大气的蒸发需求,与作物生长参数和管理实践无关(Allen,Pereira,Raes和Smith(1998年)以及Zotarelli,Dukes,Romero,Migliaccio和Morgan(2010)。 ET 0 是一个高度非线性的变量,控制着水资源管理,水文学,农业,灌溉调度和可用淡水资源的适当规划等问题。在水文循环的不同组成部分中,由于与土壤-植物-大气系统的复杂相互作用,对蒸散量的精确逼近也许是最困难的。 ET 0 的可靠估算对于估算净灌溉需求,区域水资源规划和管理以及模拟气候变化影响至关重要。量化ET 0 的直接方法是使用溶渗仪测量,也可以使用能量平衡方法(或经验模型)间接计算得出。但是,lysimetric方法耗时且需要精确的仪器。间接方法(方法)基于特定地点的气象数据,海拔高度和纬度。 FAO56PM方法是准确评估ET 0 和评估其他经验模型(Allen,Pereira,Raes和Smith(1998),Berti,Tardivo,Chiaudani,Rech和Borin(2014),Djaman等人(2015),Lima等人(2013),Pandey,Pandey和Mahanta(2014),Pereira,Allen,Smith和Raes(2015)和Widmoser(2009))。粮农组织第56号灌溉和排水文件(Allen等,1998年)和ASCE标准化蒸散计算任务委员会(ASCE-EWRI,2005年)建议,可以将FAO56PM方法用作计算ET < sub> 0 。 FAO56PM方法已针对全球不同气候条件下的溶渗仪测量数据进行了验证,并报告了ET 0 估计的最佳方法(Allen等(2005),ASCE-EWRI(2005),DehghaniSanij,Yamamoto, &Rasiah(2004),Ghamarnia,Mousabeyg,Amiri&Amirkhani(2015),Itenfisu,Elliott,Allen&Walter(2003),Jain,Nayak&Sudheer(2008),Mohan&Arumugam(1996)和Xu,Peng ,丁伟和于(2013))。另外,FAO56PM现在被广泛用作农学,灌溉水管理和其他相关领域的参考方法,以用于研究目的(Alexandris,Kerkides和Liakatas,2006年)。 FAO56PM考虑了空气动力学和生理参数

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