Evolutionary algorithm for reference evapotranspiration analysis

被引：40

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

页码：1 / 4

页数：4

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