研究论文

基于Budyko理论分析珠江流域中上游地区气候与植被变化对径流的影响*

  • 李天生 ,
  • 夏军
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  • 1.武汉大学 水资源与水电工程国家重点实验室,湖北 武汉 430072
    2.武汉大学 水安全研究院,湖北 武汉 430072

作者简介:李天生(1994-),男,甘肃白银人,博士研究生,主要从事水文水资源研究.E-mail:2012301580244@whu.edu.cn

*通信作者:夏军(1954-),男,湖北孝感人,教授,中国科学院院士,主要从事水文学及水资源研究.E-mail:xiajun666@whu.edu.cn

收稿日期: 2018-06-24

  网络出版日期: 2019-01-18

基金资助

*国家自然科学基金项目“中小河流及无测站流域径流形成非线性机理及其模型的应用基础研究”(编号:41571028)资助.

版权

, 2018,

Analysis of the Influence of Climate and Vegetation Change on Runoff in the Middle and Upper Reaches of the Pearl River Basin Based on Budyko Hypothesis*

  • Tiansheng Li ,
  • Jun Xia
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  • 1.State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072,China
    2.The Research Institute for Water Security,Wuhan University,Wuhan 430072,China

First author:Li Tiansheng(1994-),male,Baiyin City,Gansu Province,Ph.D student. Research areas include water resource and hydrology. E-mail:2012301580244@whu.edu.cn

*Corresponding author:Xia Jun(1954-),male,Xiaogan City,Hubei Province,Professor, Academician of Chinese Academy of Sciences. Research areas include water resource and hydrology. E-mail:xiajun666@whu.edu.cn

Received date: 2018-06-24

  Online published: 2019-01-18

Supported by

Project supported by the National Natural Science Foundation of China "Study on the nonlinear mechanism of runoff formation in medium and small watersheds and non-station basins and the application of models" (No. 41571028).

Copyright

地球科学进展 编辑部, 2018,

摘要

径流作为水文循环的关键环节,在人类活动影响较小的地区受气候因素控制的同时,也受植被等陆面要素的影响。以珠江流域中上游地区为研究区域,基于Budyko理论具体分析了气候和植被变化对该区域径流的影响。首先应用TFPW-MK方法分析了1981—2013年研究区各要素的变化趋势;其次通过逐步回归拟合参数n,改进了Budyko理论框架下的傅抱璞公式,并基于改进的蒸散发模型模拟计算了区域蒸散发和径流;最后基于敏感性分析方法,分析了区域径流对气象要素和植被要素的敏感性。结果显示:1981—2013年珠江中上游地区平均温度(T)、最高温度(Tmax)和最低温度(Tmin)都存在上升趋势,而径流(Q)、降雨(P)、风速(u2)、相对湿度(RH)呈下降趋势。傅抱璞实际蒸散发计算公式中参数n同时受气候要素PTRH、日照时数(S)、u2和植被覆盖指数(NDVI)的制约。敏感性分析结果显示,流域径流对降雨和NDVI具有较高的敏感性,且流域降雨减少是径流减少的主导因素,而NDVI在研究时段没有显著的变化趋势,其对径流减少的贡献不显著。总体而言,气候变化对研究区域径流的影响主要是通过同时改变水文输入要素(降雨、潜在蒸散发)和表针流域特性的参数n来表现,而植被对研究区域径流的影响主要是通过改变表针流域特性的参数n来表现。

本文引用格式

李天生 , 夏军 . 基于Budyko理论分析珠江流域中上游地区气候与植被变化对径流的影响*[J]. 地球科学进展, 2018 , 33(12) : 1248 -1258 . DOI: 10.11867/j.issn.1001-8166.2018.12.1248

Abstract

Runoff, which is a key component in the hydrological cycle, is mainly controlled by climate factors and land-surface elements in non-humid regions. The impacts of climate and vegetation changes on runoff based on Budyko hypothesis in the middle and upper reaches of the Pearl River Basin was analyzed in this article. First, the temporal trend of variables in the study area during 1981-2013 was examined by using the Mann-Kendall trend test with trend-free pre-whitening. Second, the relationship of the parameter n in Fu's equation with factors of climate and vegetation coverage was built to reveal the time-variation process of n. Finally, the effects of climatic factors and vegetation coverage on runoff were assessed by analyzing the sensitivity of runoff to each variable. It is found that average temperature (T), maximum temperature (Tmax) and minimum temperature (Tmin) in the study area present an increasing trend while runoff (Q), precipitation (P), wind speed (u2) and relative humid (RH) present decreasing trend. The parameter n in Fu's equation is significantly related to both climatic factors (including precipitation (P), average temperature (T), relative humid (RH), sunshine duration (S), wind speed (u2)) and vegetation coverage index (NDVI). In terms of sensitivity of Runoff (Q) to the variation of each climatic factors and NDVI in the middle and upper reaches of the Pearl River Basin, precipitation (P) and NDVI have the highest sensitivity, followed by other climatic factors. Additionally, the precipitation (P) reduction is the main driving factor to the decline in runoff, while vegetation coverage is another important factor. In general, climate change affects runoff not only by changing the hydrological inputs (precipitation (P) and potential evaporation (PET) but also by altering the watershed characteristics as represented by the parameter n, while the impacts of vegetation coverage on runoff are exerted mainly through the alteration of the watershed characteristics.

参考文献

[1] Nema P, Nema S, Roy P.An overview of global climate changing in current scenario and mitigation action[J]. Renewable and Sustainable Energy Reviews, 2012, 16(4): 2 329-2 336.
[2] Lei Xiaohui, Wang Hao, Liao Weihong, et al. Advances in hydro-meteorological forecast under changing environment[J]. Jaurnal of Hydraulic Engineering, 2018,49(1): 9-18.
[2] [雷晓辉, 王浩, 廖卫红, 等. 变化环境下气象水文预报研究进展[J]. 水利学报, 2018,49(1): 9-18.]
[3] Zhang Qilin, Wang Zhanli, Wang Dongdong, et al. Advances in researches of the effects of grassland vegetationon soil erosion in Loess Plateau[J]. Advances in Earth Science,2017,32(10):1 093-1 101.
[3] [张琪琳,王占礼,王栋栋,等.黄土高原草地植被对土壤侵蚀影响研究进展[J].地球科学进展,2017,32(10):1 093-1 101.]
[4] Chiew F H S, Teng J, Vaze J, et al. Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method[J]. Water Resources Research, 2009, 45(10). DOI:10.1029/2008WR007338.
[5] Mango L M, Melesse A M, McClain M E, et al. Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: Results of a modeling study to support better resource management[J]. Hydrology and Earth System Sciences, 2011, 15(7): 2 245-2 258.
[6] Feng Chang, Mao Dehua, Zhou Hui, et al. Impacts of climate and land use changes on runoff in the Lianshui Basin[J]. Journal of Glaciology and Geocryology, 2017, 39(2): 395-406.
[6] [冯畅,毛德华,周慧,等. 气候与土地利用变化对涟水流域径流的影响[J]. 冰川冻土, 2017, 39(2): 395-406.]
[7] Shi Peili, Li Wenhua.Influence of forest coverage change on hydrological process and watershed runoff[J]. Journal of Natural Resources, 2001,16(5):481-487.
[7] [石培礼,李文华.森林植被变化对水文过程和径流的影响效应[J].自然资源学报,2001,16(5):481-487.]
[8] Liu Xiaoyan, Liu Changming, Yang Shengtian, et al. Influences of shrubs-herbs-arbor vegetation coverage on the runoff based on the remote sensing data in Loess Plateau[J]. Acta Geographica Sinica, 2014,69(11): 1 595-1 603.
[8] [刘晓燕, 刘昌明, 杨胜天, 等. 基于遥感的黄土高原林草植被变化对河川径流的影响分析[J]. 地理学报, 2014, 69(11): 1 595-1 603.]
[9] He Zhibin, Du Jun, Chen Longfei, et al. Review on montane forest eco-hydrology in arid area[J]. Advances in Earth Science, 2016,31(10):1 078-1 089.
[9] [何志斌,杜军,陈龙飞, 等. 干旱区山地森林生态水文研究进展[J].地球科学进展,2016,31(10):1 078-1 089.]
[10] Liu Changming, Zeng Yan.Research on impact of vegetation change to water generation[J]. China Water Conservancy, 2002,(10):112-117.
[10] [刘昌明,曾燕.植被变化对产水量影响的研究[J].中国水利,2002,(10):112-117.]
[11] Liang Wei, Bai Dan, Wang Feiyu, et al. Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a Budyko hydrological model in China's Loess Plateau[J]. Water Resources Research, 2015, 51(8): 6 500-6 519.
[12] Shao Quanxi, Traylen A, Zhang Lu.Nonparametric method for estimating the effects of climatic and catchment characteristics on mean annual evapotranspiration[J]. Water Resources Research, 2012, 48(3). DOI:10.1029/2010WR009610.
[13] Dou Haoyang, Zhao Xinyi.Climate change and its human dimensions based on GIS and meteorological statistics in Pearl River Delta, Southern China[J]. Meteorological Applications, 2011, 18(1): 111-122.
[14] Mann H B.Non-parametric tests against trend[J]. Econometrica,1945, 13(3):245-259.
[15] Kendall M G.Rank Correlation Measure[M]. London, UK: Charles Griffin, 1975.
[16] Xu Jijun, Yang Dawen, Lei Zhidong, et al. Long-term trend test of precipitation and runoff in the Yangtze River Basin[J]. Yangtze River, 2006,(9):63-67.
[16] [许继军,杨大文,雷志栋,等.长江流域降水量和径流量长期变化趋势检验[J].人民长江,2006,(9):63-67.]
[17] Yue Sheng, Pilon P, Cavadias G.Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series[J]. Journal of Hydrology, 2002, 259(1): 254-271.
[18] Yue Sheng, Wang Chongyuan.Applicability of prewhitening to eliminate the influence of serial correlation on the Mann-Kendall test[J]. Water Resources Research, 2002, 38(6): 1-4.
[19] Wang Yuefeng, Chen Ying, Chen Xingwei.Runoff trend detection in the Minjiang River Basin with TFPW-MK method[J]. Science of Soil and Water Conservation, 2013,11(5):96-102.
[19] [王跃峰,陈莹,陈兴伟.基于TFPW-MK法的闽江流域径流趋势研究[J].中国水土保持科学,2013,11(5):96-102.]
[20] Blain G C.The influence of nonlinear trends on the power of the trend-free pre-whitening approach[J]. Acta Scientiarum Agronomy, 2015, 37(1): 21-28.
[21] Li Chuanzhe, Wu Pute, Li Xiaolei, et al. Spatial and temporal evolution of climatic factors and its impacts on potential evapotranspiration in Loess Plateau of Northern Shaanxi, China[J]. Science of The Total Environment, 2017, 589: 165-172.
[22] Patterson L A, Lutz B, Doyle M W.Climate and direct human contributions to changes in mean annual streamflow in the South Atlantic, USA[J]. Water Resources Research, 2013, 49(11): 7 278-7 291.
[23] Budyko M I.Climate and Life[M]. New York: Academic Press, 1974.
[24] Xu Chongyu, Gong Lebing, Jiang Tong, et al. Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtze River) catchment[J]. Journal of Hydrology, 2006, 327(1/2): 81-93.
[25] Fu Baopu.One the calculation of the evaporation from land surface[J]. Scientia Atmospherica Sinica, 1981,5(1):23-31.
[25] [傅抱璞. 论陆面蒸发的计算[J].大气科学,1981, 5(1):23-31.]
[26] Jiang Cong, Xiong Lihua, Wang Dingbao, et al. Separating the impacts of climate change and human activities on runoff using the Budyko-type equations with time-varying parameters[J]. Journal of Hydrology, 2015, 522: 326-38.
[27] Chen Zhengjiang, Pu Xi'an. Comparative study of multiple linear regression analysis and stepwise regression analysis[J]. Journal of Mudan Jiang College of Education, 2016,(5):131-133.
[27] [陈正江, 蒲西安.多元线性回归分析与逐步回归分析的比较研究[J].牡丹江教育学院学报,2016,(5):131-133.]
[28] Yang Dawen, Shao Weiwei, Yeh P J F, et al. Impact of vegetation coverage on regional water balance in the nonhumid regions of China[J]. Water Resources Research, 2009, 45(7).DOI: 10.1029/2008WR006948.
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