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新疆地区潜在蒸散量计算模型适用性评价
引用本文:殷昌军,桂东伟,刘云飞,张磊,薛冬萍,刘毅. 新疆地区潜在蒸散量计算模型适用性评价[J]. 灌溉排水学报, 2022, 41(2): 75-82. DOI: 10.13522/j.cnki.ggps.2021282
作者姓名:殷昌军  桂东伟  刘云飞  张磊  薛冬萍  刘毅
作者单位:中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室,乌鲁木齐830011;新疆策勒荒漠草地生态系统国家野外科学观测研究站,新疆策勒848300;中国科学院大学,北京100049
基金项目:新疆自治区天山创新团队项目;国家基础资源调查专项
摘    要:[目的]评价不同潜在蒸散量模型计算结果的准确性以及模型在不同地区的适用性,提出适合于新疆不同区域的潜在蒸散量计算模型.[方法]基于新疆16个站点1970-2015年的实测气象资料,以实测蒸发为基准,采用综合法、辐射法、质量传输法、温度法4类模型计算了潜在蒸散量;通过随机森林模型分析了潜在蒸散量的主要影响因素,并利用多属...

关 键 词:潜在蒸散量  模型  敏感性分析  TOPSIS

Assessing Different Formulae for Estimating Potential Evapotranspiration in Xinjiang
YIN Changjun,GUI Dongwei,LIU Yunfei,ZHANG Lei,XUE Dongping,LIU Yi. Assessing Different Formulae for Estimating Potential Evapotranspiration in Xinjiang[J]. Journal of Irrigation and Drainage, 2022, 41(2): 75-82. DOI: 10.13522/j.cnki.ggps.2021282
Authors:YIN Changjun  GUI Dongwei  LIU Yunfei  ZHANG Lei  XUE Dongping  LIU Yi
Affiliation:(State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;Cele National Station of Observation and Research for Desert-Grassland Ecosystems,Cele 848300,China;University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:【Objective】Potential evapotranspiration(ET) is an important parameter for irrigation management and can be calculated by different methods.In this paper we evaluate different methods for estimating ET in Xinjiang province of China.【Method】The analysis was based on meteorological data measured from 1970 to 2015 from 16 whether stations across the province.The value of ET was calculated by the following models:comprehensive method,radiation method,mass transfer method and temperature method.The technique for order of preference by similarity to ideal solution(TOPSIS) was used to rank applicability and suitability of these models for different regions based on their accuracy and sensitivity.【Result】On average across Xinjiang,ET calculated by the radiation method was closer to the standard value than by other models.Among all models we compared,the Makkink model was more applicable,giving most accurate result across the province,with its correlation coefficient with the standard value for all 16 weather station being more than 0.95,the associated NSE close to 1 and average root mean square errors over the 16 stations being 25.28 mm/month.【Conclusion】 In southern Xinjiang,the Makkink model and the Penman-Monteith model are most accurate,followed by Priestley-Taylor(P-T),Hargreaves(Harg) and temperature method.In northern Xinjiang,the radiation method worked better,followed by the Penman and the Penman-Monteith models.
Keywords:potential evapotranspiration  sensitivity analysis  TOPSIS  Xinjiang
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