Evolutionary algorithm for reference evapotranspiration analysis

被引：39
作者：
Jovic, Srdjan [1 ]
Nedeljkovic, Blagoje [1 ]
Golubovic, Zoran [1 ]
Kostic, Nikola [1 ]
机构：
[1] Univ Pristina, Fac Tech Sci, Kneza Milosa 7, Kosovska Mitrovica 38220, Serbia
来源：
COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2018年 / 150卷
关键词：
Evolutionary algorithm; Evapotranspiration; Estimation; EMPIRICAL EQUATIONS;
D O I：
10.1016/j.compag.2018.04.003
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
Evapotranspiration of important indicator for management and planning of water resources. It is essential to analyze the evapotranspiration in order to improve water resources planning. The main goal of the study was to analyze the evapotranspiration based on several input parameters. It is important to estimate the influence of the input parameters on the evapotranspiration. For such a purpose evolutionary algorithm was applied. The algorithm applied in this article has space solution of genetic programs. Therefore this methodology is known as genetic programming. The input parameters in the model are monthly minimum and maximum air temperatures, sunshine hours, actual vapour pressure, minimum and maximum relative humidity and wind speed. Results presented in this study could be used for practical application of water resources planning and management based on the input parameters influence on the evapotranspiration.
引用
收藏
页码：1 / 4
页数：4
相关论文
共 17 条
  • [1] Allen R. G., 1998, FAO Irrigation and Drainage Paper
  • [2] Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables
    Antonopoulos, Vassilis Z.
    Antonopoulos, Athanasios V.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 132 : 86 - 96
  • [3] Validation and calibration of various reference evapotranspiration alternative methods under the climate conditions of Bosnia and Herzegovina
    Cadro, Sabrija
    Uzunovic, Mirza
    Zurovec, Jasminka
    Zurovec, Ognjen
    [J]. INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2017, 5 (04) : 309 - 324
  • [4] Spatiotemporal variation of reference evapotranspiration during 1954-2013 in Southwest China
    Feng, Yu
    Cui, Ningbo
    Zhao, Lu
    Gong, Daozhi
    Zhang, Kuandi
    [J]. QUATERNARY INTERNATIONAL, 2017, 441 : 129 - 139
  • [5] Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China
    Feng, Yu
    Jia, Yue
    Cui, Ningbo
    Zhao, Lu
    Li, Chen
    Gong, Daozhi
    [J]. AGRICULTURAL WATER MANAGEMENT, 2017, 181 : 1 - 9
  • [6] Trends in reference evapotranspiration and their causative factors in the West Liao River basin, China
    Gao, Zhendong
    He, Junshi
    Dong, Kebao
    Li, Xiang
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2017, 232 : 106 - 117
  • [7] The effect of reference-condition-based temperature modification on the trend of reference evapotranspiration in arid and semi-arid regions
    Khanmohammadi, Neda
    Rezaie, Hossein
    Montaseri, Majid
    Behmanesh, Javad
    [J]. AGRICULTURAL WATER MANAGEMENT, 2017, 194 : 204 - 213
  • [8] Koza J.R., 2007, WHAT IS GENETIC PROG
  • [9] Using gene expression programming in monthly reference evapotranspiration modeling: A case study in Egypt
    Mattar, Mohamed A.
    [J]. AGRICULTURAL WATER MANAGEMENT, 2018, 198 : 28 - 38
  • [10] Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration
    Mehdizadeh, Saeid
    Behmanesh, Javad
    Khalili, Keivan
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 139 : 103 - 114
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