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Tabriz Daily Rainfalls Modeling via Hybridized Tree Based and Seasonal-Trend Component Bagging Method

کلیدواژه: Bagging Method,Decomposition,Modified Wilmot,Tree Models,Urmia Lake Basin

نویسندگان: JAVIDAN S., SATTARI M.T., Mohsenzadeh Sh.

ناشر: آب و خاک - Journal of Water and Soil

Introduction Precipitation is one of the most important components of water cycle. Accurate precipitation measurement is essential for flood forecasting and control, drought analysis, runoff modeling, sediment control and management, watershed management, agricultural irrigation planning, and water ... ادامه

سال:2022

نوع سند: Article

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Introducing a Hybrid Model Based on Certainty Factor Statistical and Bagging Methods for Discovering Groundwater

کلیدواژه: Groundwater level potential,certainty factor (CF) method,bagging method,Geographic information system (GIS)

نویسندگان: RAZAVI TERMEH SEYED VAHID, RAHIMZADEGAN MAJID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Due to climate change and growth of urban communities, the need for groundwater and exploration of these resources are increasing. Therefore, the purpose of this study was to provide a groundwater potential mapping using the geographic information system (GIS) in a region located in Booshehr plain u... ادامه

سال:2020

نوع سند: Article

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Investigating the Application of Hybrid Support Vector Machine Models in Predicting River Flow of Karkhe Basin

کلیدواژه: Bayesian Network,Support Vector Machine,Wavelet,Karkhe Basin

نویسندگان: DEHGHANI REZA, Torabi Poodeh Hasan, YOUNESI HOJJATOLLAH, Shahinejad Babak

ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY

Introduction: River flow forecasting is one of the most important issues in water resources management and planning, especially in making the right decisions in the event of floods and droughts. Various approaches to hydrology have been introduced to predict river flow rates, among which, intelligen... ادامه

سال:2020

نوع سند: Article

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Aplication of the Hybrid Model of Support Vector Machine-Algorithm Artificial Flora in Estimating the Daily Flow of Rivers (Case study: Dez Basin)

کلیدواژه: Artificial Flora Alghorithm,Prediction,Dez Basin,Support Vector Machine

نویسندگان: DEHGHANI R., TORABI POUDEH H., YOUNESI H., SHAHINEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

In this study, the hybrid support vector machine-artificial flora algorithm method was developed and the results were compared with those of the support vector machine-wavelet model. The case study of Dez catchment area was used in order to estimate the flow rate of the rivers employing the daily di... ادامه

سال:2020

نوع سند: Article

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Prediction of Land Cover Changes in Horizon of 2028 through a Hybrid Model of Markov Chain and Cellular Automata; Catchment Area around Bazangan Lake Case Study

کلیدواژه: Prediction of Changes,Markov Chain Model,Cellular Automata,Bazangan Lake,Remote Sensing

نویسندگان: ALIKHAH ASL M., REZVANI F.

ناشر: تحقیقات جغرافیایی - GEOGRAPHICAL RESEARCH

Introduction and Background Detection and prediction of changes are necessary for maintenance of an ecosystem particularly in rapidly-changing and often unplanned regions in developing countries. Aims This study predicts the land use changes in catchment area around Bazangan Lake for the year of 202... ادامه

سال:2018

نوع سند: Article

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