Climatic Characteristics of Reference Evapotranspiration in the Hai River Basin and Their Attribution

Water

Their Attribution²  Lingling Zhao¹  Jun Xia⁴  Leszek Sobkowiak³ 

[1] Guangzhou Institute of Geography, No.100 Xianliezhong Road, Guangzhou 510070, China E-Mail:;Guangzhou Institute of Geography, No.100 Xianliezhong Road, Guangzhou 510070, China E-Mail;Institute of Physical Geography and Environmental Planning, Adam Mickiewicz University, Poznan 61-680, Poland; E-Mail:;Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

关键词: climatic variation;    reference evapotranspiration;    Penman–Monteith method;    Hai River Basin;   

DOI  :  10.3390/w6061482

来源: mdpi

【 摘 要 】

Based on the meteorological data from 46 stations in the Hai River Basin (HRB) from 1961–2010, the annual and seasonal variation of reference evapotranspiration was analyzed. The sensitivity coefficients combined with the detrend method were used to discuss the dominant factor affecting the reference evapotranspiration (ET_o). The obtained results indicate that the annual reference evapotranspiration is dominated by the decreasing trends at the confidence level of 95% in the southern and eastern parts of the HRB. The sensitivity order of climatic variables to ET_o from strong to weak is: relativity humidity, temperature, shortwave radiation and wind speed, respectively. However, comprehensively considering the sensitivity and its variation strength, the detrend analysis indicates that the decreasing trends of ET_o in eastern and southern HRB may be caused mainly by the decreasing wind speed and shortwave radiation. As for the relationship between human activity and the trend of ET_o, we found that ET_o decreased more significantly on the plains than in the mountains. By contrast, the population density increased more considerably from 2000 to 2010 on the plains than in the mountains. Therefore, in this paper, the correlation of the spatial variation pattern between ET_o and population was further analyzed. The spatial correlation coefficient between population and the trend of ET_o is −0.132, while the spatial correlation coefficient between the trend of ET_o and elevation, temperature, shortwave radiation and wind speed is 0.667, 0.668, 0.749 and 0.416, respectively. This suggests that human activity has a certain influence on the spatial variation of ET_o, while natural factors play a decisive role in the spatial variation of reference evapotranspiration in this area.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.