干旱区研究

干旱区研究 >

2018 , Vol. 35 >Issue 5: 1012 - 1020

DOI: https://doi.org/10.13866/j.azr.2018.05.02

水资源与水化学

巴丹吉林沙漠湖泊水面蒸发与气象要素的动态关系

  • 韩鹏飞 ,
  • 王旭升 ,
  • 胡晓农 ,
  • 蒋小伟 ,
  • 周燕怡
展开
  • (中国地质大学（北京）地下水循环与环境演化教育部重点实验室，北京 100083)
韩鹏飞（1988-），男，博士研究生，研究方向为水文地质.E-mail：506934522@qq.com

收稿日期: 2017-12-08

  修回日期: 2018-03-23

  网络出版日期: 2018-09-20

基金资助

国家自然科学基金重大研究计划项目(91125024 )；全国优秀博士学位论文作者专项资金(201457)和中央高校基本科研业务费优秀导师基金项目(2652017169)联合资助

收起

Dynamic Relationship between Lake Surface Evaporation and Meteorological Factors in the Badain Jaran Desert

  • HAN Peng-fei ,
  • WANG Xu-sheng ,
  • HU Xiao-nong ,
  • JIANG Xiao-wei ,
  • ZHOU Yan-yi
Expand
  • (Key Laboratory of Groundwater Circulation and Evolution ofMinistry of Education, China University of Geosciences, Beijing 100083, China)

Received date: 2017-12-08

  Revised date: 2018-03-23

  Online published: 2018-09-20

Fold

摘要

巴丹吉林沙漠腹地分布有大量湖泊，水面蒸发是湖泊水循环乃至整个沙漠水循环的关键控制因素。本文以在沙漠腹地湖泊—苏木巴润吉林建立自动气象站监测的2012年9月11日至2013年3月26日和2013年5月8日至2015年6月23日的长序列气象、蒸发数据，以及2012年9月13日至2014年6月20日的湖底压强数据为基础，在多时间尺度下分析湖泊水面蒸发与气象要素的动态关系。利用多元线性回归模型、非线性空气动力学模型和Penman公式对逐小时、逐日和逐月蒸发量进行模拟分析。结果表明：随着时间尺度的提升，蒸发量与同期气象要素之间的相关性增强。在逐小时尺度下，蒸发与同期气象要素的相关性较弱，用多元线性回归模型拟合效果不佳。在逐日和逐月时间尺度下，蒸发量与同期气温和水温的相关性最高，利用多元线性回归模型或非线性空气动力学模型可以较好地模拟蒸发量。Penman公式计算的逐日蒸发量在夏季偏大而冬季偏小。研究结果可为沙漠湖泊水量蒸发的评估提供科学依据。

关键词： 湖泊蒸发量; 气象要素; 多元线性回归; 苏木巴润吉林; 巴丹吉林沙漠

本文引用格式

韩鹏飞 , 王旭升 , 胡晓农 , 蒋小伟 , 周燕怡 . 巴丹吉林沙漠湖泊水面蒸发与气象要素的动态关系[J]. 干旱区研究, 2018 , 35(5) : 1012 -1020 . DOI: 10.13866/j.azr.2018.05.02

Abstract

A large number of lakes are distributed in the Badain Jaran Desert located in northwest China. Water evaporation is a key factor in lacustrine water cycle and even an entire desert. In this paper, the dynamic relationships between evaporation and meteorological factors were analyzed based on the long-term meteorological and evaporative data monitored by automatic weather station at the Sumu Barun Jaran Lake from September 11, 2012 to March 26, 2013 and from May 8, 2013 to June 23, 2015 as well as the pressure intensity data at the lake bottom observed from September 13, 2012 to June 20, 2014. The multiple linear regression model, nonlinear aerodynamic model and Penman equation were used to simulate and analyze the hourly, daily and monthly evaporations. The results indicated that the correlations between evaporation and meteorological factors were enhanced with the time prolonging. At the hourly time scale, the correlations between evaporation and meteorological factors were poor, and the evaporation could not be simulated well by the multiple linear regression model. At the daily and monthly time scales, evaporation was closely correlated with air temperature and water temperature in the same period, and the evaporation could be modeled well by the multiple linear regression model and nonlinear aerodynamic model. The daily evaporation modeled by Penman equation was higher in summer but lower in winter. The results could provide a scientific basis for assessing the water consumption by lake surface evaporation in desert.

Key words： evaporation; meteorological factor; multiple linear regression; Sumu Barun Jaran; Badain Jaran Desert

参考文献

[1] Wang S, Huang J, Li J, et al. Assessment of water budget for sixteen large drainage basins in Canada [J]. Journal of Hydrology, 2014, 512(6):1-15.
[2] Fathian F, Morid S, Kahya E. Identification of trends in hydrological and climatic variables in Urmia Lake basin, Iran[J]. Theoretical & Applied Climatology, 2015, 119(3/4):443-464.
[3] Wurbs R A, Ayala R A. Reservoir evaporation in Texas, USA [J]. Journal of Hydrology, 2014, 510(6):1-9.
[4] Martinez-Martinez E, Nejadhashemi A P, Woznicki S A, et al. Modeling the hydrological significance of wetland restoration scenarios [J] Journal of Environmental Management, 2014, 133(133C):121-134.
[5] Moghaddasi M, Morid S, Araghinejad S, et al. Assessment of irrigation water allocation based on optimization and equitable water reduction approaches to reduce agricultural drought losses: The 1999 drought in the Zayandeh RUD irrigation system (Iran) [J]. Irrigation & Drainage, 2010, 59(4):377-387.
[6] Tanny J, Cohen S, Assouline S, et al. Evaporation from a small water reservoir: Direct measurements and estimates [J]. Journal of Hydrology, 2008, 351(1/2):218-229.
[7] Valiantzas J D. Simplified versions for the Penman evaporation equation using routine weather data [J]. Journal of Hydrology, 2006, 331(3):690-702.
[8] Rind D C. Rosenzweig A, Stieglitz M. The role of moisture transport between ground and atmosphere in global change[J]. Annual Review of Energy & the Environment, 1997, 22(1):47-74.
[9] Marinoni E, Di N T, Caramanico L,et al. Climate change and water resources in lebanon and the middle east[J]. Journal of Water Resources Planning & Management, 2002, 128(5):343-355.
[10]Kustas W P. Estimates of evapotranspiration with a one- and two-layer model of heat transfer over partial canopy cover [J]. Journal of Applied Meteorology, 2010, 29(8):704-715.
[11]Ortega-Farias S O, Cuenca R H, English M. Hourly Grass Evapotranspiration in Modified Maritime Environment [J]. Journal of Irrigation & Drainage Engineering, 1995, 121(6):369-373.
[12]王乃昂, 宁凯, 李卓仑, 等.巴丹吉林沙漠全新世的高湖面与泛湖期[J].中国科学:地球科学, 2016,46(8):1 106-1 115.[Wang Naiang, Ning Kai, Li Zhuolun, et al. Holocene high lake-levels and pan-lake period on Badain Jaran Desert[J]. Science China Earth Sciences,2016, 46(8):1 106-1 115.]
[13]Zhang X, Wang N, Xie Z, et al. Water loss due to increasing planted vegetation over the Badain Jaran Desert, China [J]. Remote Sensing, 2018, 10(1):134.
[14]Wang X, and Zhou Y. Investigating the mysteries of groundwater in the Badain Jaran Desert, China [J]. Hydrogeology Journal, 2018: 1-17.
[15]Zhang K, Cai D, Ao Y, et al. Local Circulation Maintains the Coexistence of Lake-dune Pattern in the Badain Jaran Desert [J]. Scientific Reports, 2017, 7:40 238.
[16]Ma Y, Zhao J, Luo X, et al. Hydrological cycle and water balance estimates for the megadune–lake region of the Badain Jaran Desert, China [J]. Hydrological Processes, 2017, 31(18):3 255-3 268.
[17]Chen J S, Li L, Wang J Y, et al. Groundwater maintains dune landscape [J]. Nature, 2004, 432(7 016):459-60.
[18]Gates J B, Edmunds W M, Ma J, et al. Estimating groundwater recharge in a cold desert environment in northern China using chloride [J]. Hydrogeology Journal,2008, 16(5):893-910.
[19]马宁. 巴丹吉林沙漠能量分配与湖泊蒸发量的观测研究 [D]. 兰州：兰州大学, 2012. [Ma Ning. Observation of Energy Partitioning and Lake Evaporation in the Badain Jaran Desert [D]. Lanzhou:Lanzhou University,2012.]
[20]王旭升, 胡晓农, 金晓媚,等. 巴丹吉林沙漠地下水与湖泊的相互作用 [J]. 地学前缘, 2014, 21(4):91-99. [Wang Xusheng, Hu Xiaonong, Jin Xiaomei, et al. Interactions between groundwater and lakes in Badain Jaran Desert [J]. Earth Science Frontiers,2014, 21(4):91-99.]
[21]Yang X P, Ma N, Dong J F, et al. Recharge to the inter-dune lakes and Holocene climatic changes in the Badain Jaran Desert, western China [J]. Quaternary Research, 2010, 73(1):10-19.
[22]胡文峰, 王乃昂, 赵力强, 等.巴丹吉林沙漠典型湖泊湖气界面水一热交换特征[J]. 地理科学进展,2015,34(8): 1 061-1 071. [Hu Wenfeng, Wang Naiang, Zhao Liqiang,et al. Water-heat exchange over a typical lake in Badain Jaran Desert, China[J].Progress in Geography, 2015,34 (8): 1 061-1 071.]
[23]张竞, 王旭升, 胡晓农,等. 巴丹吉林沙漠湖泊水分补给机制的模拟——以苏木吉林湖区为例 [J]. 湖泊科学, 2017, 29 (2):467-479. [Zhang Jing, Wang Xusheng, Hu Xiaonong, et al. Research on the recharge of the lakes in the Badain Jaran Desert: Simulation study in the Sumu Jaran lakes area [J]. Journal of Lake Sciences. 2017, 29(2):467-479.]
[24]马宁, 王乃昂. 巴丹吉林沙漠腹地湖泊水面蒸发模拟的特殊性 [J]. 干旱区研究, 2016, 33(6):1 141-1 149.[Ma Ning,Wang Naiang.On the simulation of evaporation from lake surface in the hinterland of the Badain Jaran Desert [J]. Arid Zone Research,2016, 33(6):1 141-1 149.]
[25]张竞, 王旭升, 贾凤超,等. 对内蒙古阿拉善西部地下水流向问题的新认识 [J]. 现代地质, 2015(1):213-219.[Zhang Jing, Wang Xusheng, Jia Fengchao, et al. New insights into the flow directions of groundwater in Western Alxa,Inner Mongolia[J].Geoscience,2015(1):213-219.]
[26]陈添斐,王旭升,胡晓农,等. 巴丹吉林沙漠盐湖跃层对地下淡水排泄的指示作用[J]. 湖泊科学, 2015, 27(1):183-189. [Chen Tianfei, Wang Xusheng, Hu Xiaonong, et al. Clines in salt lakes in the Badain Jaran Desert and their significances in indicating fresh groundwater discharge [J]. Journal of Lake Sciences,2015, 27(1):183-189.]
[27]沈士平. 基于观测的巴丹吉林沙漠湖泊蒸发盐度效应研究 [D]. 兰州：兰州大学, 2014. [Shen Shiping. Based on the Observation of the Badain Jaran Desert Lakes Evaporation Salinity Effect Research [D]. Lanzhou:Lanzhou University, 2014.]
[28]贾俊平. 统计学 [M]. 北京：中国人民大学出版社，2008. [Jia Junping. Statistics [M]. Beijing:China Renmin University Press, 2008.]
[29]Nash J E, Sutcliffe J V. River flow forecasting through conceptual models part I:A discussion of principles[J]. Journal of Hydrology, 1970, 10(3):282-290.
[30]David R Legates,Gregory J, McCabe Jr. Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model validation[J].Water Resources Research,1999, 35(1):233-241.
[31]Moriasi D N, Arnold J G, Van Liew M W, et al. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations [J]. Transactions of the Asabe,2007, 50(3):885-900.
[32]Mcjannet D L, Webster I T, Cook F J. An area-dependent wind function for estimating open water evaporation using land-based meteorological data [J]. Environmental Modelling & Software, 2012, 31(6):76-83.
[33]Penman H L. Natural evaporation from open water, hare soil and grass [J]. Proceedings of the Royal Society of London, 1948, 193(1 032):120.
[34]吴月, 王乃昂, 赵力强,等. 巴丹吉林沙漠诺尔图湖泊水化学特征与补给来源[J]. 科学通报, 2014,59(12):1 140-1 147. [Wu Yue, Wang Naiang, Zhao Liqiang, et al. Hydrochemical characteristics and recharge sources of Lake Nuoertu in the Badain Jaran Desert [J]. Chinese Science Bulletin, 2014,59(12):1 140-1 147.]

Options
文章导航

/

〈 〉