SENSITIVITY ANALYSIS OF DIFFERENT EVAPOTRANSPIRATION METHODS USING A NEW SENSITIVITY COEFFICIENT

被引:0
|
作者
Ambas, V. Th. [1 ]
Baltas, E. [2 ]
机构
[1] Reg Western Macedonia, Dept Soil Water Resources Conservat, Florina 53100, Greece
[2] Aristotle Univ Thessaloniki, Dept Hydraul Soil Sci & Agr Engn, GR-54006 Thessaloniki, Greece
来源
GLOBAL NEST JOURNAL | 2012年 / 14卷 / 03期
关键词
sensitivity coefficient; reference evapotranspiration; evapotranspiration method; meteorological parameters; PENMAN-MONTEITH;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The estimation of evapotranspiration is essential in water resources management. Among a group of methods, the Penman-Monteith has been commonly applied to calculate reference evapotranspiration as this method has been also recommended by the Food and Agriculture Organization of the U.N. (FAO). Other methods widely used are: the FAO 24 Penman, the modified Blaney and Criddle, the FAO 24 Makkink, and the Hargreaves. Sensitivity analysis is required to gain a better understanding of the meteorological systems; particularly to indicate the physical meaning of each meteorological parameter used in the estimation of the reference evapotranspiration. Several dimensionless sensitivity coefficients have been proposed, based on the partial derivative of the dependent variable (reference evapotranspiration) to the independent variables (meteorological variables). In this paper, a new sensitivity coefficient is proposed to drive sensitivity analysis of the evapotranspiration methods. The new sensitivity coefficient uses the partial derivative and the standard deviation of each independent variable. The meteorological variables, whose influence has been examined, are all the necessary meteorological parameters for the calculation of reference evapotranspiration, such as temperature, solar radiation, wind speed and relative humidity for each method. Data from the automatic meteorological station of Aminteo in the Prefecture of Florina, Western Macedonia, were used. The sensitivity coefficients were calculated for each month, year and irrigation period. The comparison of the sensitivity coefficients is performed for the month of water peak demand (July), the irrigation period and the year for each evapotranspiration method. Results show that the influence of the variables to evapotranspiration is not the same for each period, and also the order that the variables influence evapotranspiration is changing. A comparison between the five evapotranspiration methods shows that solar radiation and temperature are the main parameters that affect evapotranspiration, while relative humidity and wind speed are not so important for the calculation of evapotranspiration.
引用
收藏
页码:335 / 343
页数:9
相关论文
共 50 条
  • [31] Simple method based on sensitivity coefficient for stochastic uncertainty analysis in probabilistic risk assessment
    Takeda, Satoshi
    Kitada, Takanori
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 209
  • [32] Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate
    Kisi, Ozgur
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2014, 140 (01)
  • [33] Sensitivity of the reference evapotranspiration to key climatic variables in Shandong Province, China
    Yang, Jialin
    Liu, Chaoshun
    Zhou, Cong
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XII, 2015, 9610
  • [34] Sensitivity of soil evaporation and reference evapotranspiration to climatic variables in South Korea
    Aydin, Mehmet
    Jung, Yeong-Sang
    Yang, Jae E.
    Kim, Su-Jung
    Kim, Kyung-Dae
    TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, 2015, 39 (05) : 652 - U260
  • [35] Sensitivity of annual and seasonal reference crop evapotranspiration to principal climatic variables
    Patle, G. T.
    Singh, D. K.
    JOURNAL OF EARTH SYSTEM SCIENCE, 2015, 124 (04) : 819 - 828
  • [36] Reference evapotranspiration change and its sensitivity to climate variables in southwest China
    Tiegang Liu
    Longguo Li
    Jianbin Lai
    Chao Liu
    Wenhua Zhuang
    Theoretical and Applied Climatology, 2016, 125 : 499 - 508
  • [37] Sensitivity of FAO Penman-Monteith reference evapotranspiration (ETo) to climatic variables under different climate types in Nigeria
    Emeka, Ndulue
    Ikenna, Onyekwelu
    Okechukwu, Michael
    Chinenye, Anyadike
    Emmanuel, Echiegu
    JOURNAL OF WATER AND CLIMATE CHANGE, 2021, 12 (03) : 858 - 878
  • [38] Calculation Method of Sensitivity Coefficient Based on Statistical Sampling
    Ma X.
    Tang H.
    Yang L.
    Zhu S.
    Chen Y.
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2019, 53 (12): : 2413 - 2419
  • [39] Pan coefficient sensitivity to environment variables across China
    Wang, Kaiwen
    Liu, Xiaomang
    Tian, Wei
    Li, Yanzhong
    Liang, Kang
    Liu, Changming
    Li, Yuqi
    Yang, Xiaohua
    JOURNAL OF HYDROLOGY, 2019, 572 : 582 - 591
  • [40] Residual ozone measurement: Indigo sensitivity coefficient adjustment
    Gordon, G
    Bubnis, B
    OZONE-SCIENCE & ENGINEERING, 2002, 24 (01) : 17 - 28