Monthly Soil Temperature Modeling Using Gene Expression Programming
نویسندگان
چکیده
منابع مشابه
Application of Gene Expression Programming and Support Vector Regression models to Modeling and Prediction Monthly precipitation
Estimating and predicting precipitation and achieving its runoff play an important role to correct management and exploitation of basins, management of dams and reservoirs, minimizing the flood damages and droughts, and water resource management, so they are considered by hydrologists. The appropriate performance of intelligent models leads researchers to use them for predicting hydrological ph...
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Saturated hydraulic conductivity of soil is an important physical property of soil that affects water movement in soil, Since the measurement of saturated hydraulic conductivity by direct methods in the field or in the laboratory is hard, time-consuming and costly, the indirect methods are being used.The aim of this study is to estimate the saturated hydraulic conductivity from other soil prope...
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Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...
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ژورنال
عنوان ژورنال: Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
سال: 2019
ISSN: 2147-3129
DOI: 10.17798/bitlisfen.527053