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用稳定同位素方法估算大型浅水湖泊蒸发量——以太湖为例
引用本文:肖薇,符靖茹,王伟,温学发,徐敬争,肖启涛,胡诚,刘寿东,李旭辉.用稳定同位素方法估算大型浅水湖泊蒸发量——以太湖为例[J].湖泊科学,2017,29(4):1009-1017.
作者姓名:肖薇  符靖茹  王伟  温学发  徐敬争  肖启涛  胡诚  刘寿东  李旭辉
作者单位:南京信息工程大学大气环境中心, 南京 210044;南京信息工程大学江苏省大气环境与装备技术协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 南京 210044,南京信息工程大学大气环境中心, 南京 210044,中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101,南京信息工程大学大气环境中心, 南京 210044,南京信息工程大学大气环境中心, 南京 210044,南京信息工程大学大气环境中心, 南京 210044,南京信息工程大学大气环境中心, 南京 210044;南京信息工程大学江苏省大气环境与装备技术协同创新中心, 南京 210044,南京信息工程大学大气环境中心, 南京 210044;南京信息工程大学江苏省大气环境与装备技术协同创新中心, 南京 210044
基金项目:国家自然科学基金项目(41475141,41505005,41575147)、江苏省高校“青蓝工程”项目、江苏省高校优势学科建设工程项目(PAPD)和教育部长江学者和创新团队发展计划项目(PCSIRT)联合资助.
摘    要:湖泊蒸发量的准确估算对于水文学、气象学和湖泊学等研究有重要的意义.基于2013-2015年太湖水量收支资料、气象观测数据和稳定同位素观测资料,采用稳定同位素质量守恒模型、水量平衡法和Priestley-Taylor模型估算太湖蒸发量,分析太湖蒸发量的季节变化和年际变化特征,并以Priestley-Taylor模型结果为参考值,评价水量平衡法和同位素质量守恒方程的计算精度.结果表明:5-9月太湖蒸发量较高,冬季最低.2013-2015年太湖年总蒸发量分别为1069、894和935 mm,蒸发量的年际变化受到天气条件的影响.2013年12月2014年11月期间,用Priestley-Taylor模型计算的湖泊蒸发量为885 mm;同位素质量守恒模型的估算结果较一致,为893 mm;而水量平衡方程的估算结果明显偏高,为1247 mm.

关 键 词:太湖  蒸发  稳定同位素质量守恒模型  Priestley-Taylor模型  水量平衡方程
收稿时间:2016/7/18 0:00:00
修稿时间:2016/10/11 0:00:00

Estimating evaporation over a large and shallow lake using stable isotopic method: A case study of Lake Taihu
XIAO Wei,FU Jingru,WANG Wei,WEN Xuef,XU Jingzheng,XIAO Qitao,HU Cheng,LIU Shoudong and LI Xuhui.Estimating evaporation over a large and shallow lake using stable isotopic method: A case study of Lake Taihu[J].Journal of Lake Science,2017,29(4):1009-1017.
Authors:XIAO Wei  FU Jingru  WANG Wei  WEN Xuef  XU Jingzheng  XIAO Qitao  HU Cheng  LIU Shoudong and LI Xuhui
Institution:Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China,Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China,Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P.R.China,Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China,Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China,Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China,Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China and Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, P.R.China
Abstract:Accurate estimation on lake evaporation was vital to hydrology, meteorology and limnology. Based on the data of water budgets, meteorological and stable isotopic observation over Lake Taihu from 2013 to 2015, the evaporation of Lake Taihu was estimated using the isotopic mass balance model, the water mass balance method and the Priestley-Taylor model. The seasonal and inter-annual variabilities of lake evaporation were analyzed, and the performance of the water balance method and the stable isotopic water balance model were evaluated with the Priestley-Taylor model result as reference. The results indicated: Evaporation of Lake Taihu was higher from May to September and less in winter. Annual evaporation in 2013, 2014 and 2015 was 1069, 894 and 935 mm, and the inter-annual variation was controlled by weather condition. Lake evaporation during the period from December 2013 to November 2014 calculated using the Priestley-Taylor model was 885 mm, and the result of the isotopic mass balance model was similar with a value of 893 mm. Whereas it was overestimated significantly by the water balance method with a value of 1247 mm.
Keywords:Lake Taihu  evaporation  stable isotopic mass balance model  Priestly-Taylor equation  water balance equation
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