CIVILICA We Respect the Science
Publisher of Iranian Journals and Conference Proceedings
Paper
title

Estimation of groundwater table, using SVM model case study: Lamerd plain

Credit to Download: 1 | Page Numbers 17 | Abstract Views: 185
Year: 2016
COI code: AICT01_068
Paper Language: English

How to Download This Paper

For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.

Authors Estimation of groundwater table, using SVM model case study: Lamerd plain

  Nader Barahmand - Department of Civil Engineering, Larestan Branch, Islamic Azad University, Larestan, Iran.Nader Barahmand, Department of Civil Engineering, Larestan Branch, Islamic Azad University, Larestan, Iran
Alireza Aheste -

Abstract:

Underground water reservoirs are considered as the most important water supplies, especially in dry regions. It should be mentioned that gaining water from these dry regions is more importance in comparison to those located in wet regions. It is clearly a necessity to monitor and plan in order to protect underground water resources and perform quantity control in different regions, especially in hot and dry climates like Lamerd plain. In this paper, simulating underground water level and forecasting water table of Lamerd plain are the goals. Using complicated models of artificial intelligence for modeling hydrological events with multi-function dependence, complication complexity and uncertainty have been points of interest for researches, especially during last years. With these history of applying and usage in this article authors have tried to forecast and simulate underground water level by the usage of data like observed water level of wells in Lamerd plain for the time period of 1998-2013 average monthly temperature, precipitation and evaporation of Lamerd plain. Results of modeling using SVM (poly kernel type) showed closer correlation to results gained in comparison to results obtained from other kernels. Correlation coefficient of applied methods had 0,9992 and 0,9962 for train and test data, respectively

Keywords:

Lamerd plain, underground water level, SVM model, Poly kernel and correlation coefficient

Perma Link

https://www.civilica.com/Paper-AICT01-AICT01_068.html
COI code: AICT01_068

how to cite to this paper:

If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Barahmand, Nader & Alireza Aheste, 2016, Estimation of groundwater table, using SVM model case study: Lamerd plain, 1st Conference craft in civil construction, Architecture and Urbanism, تبريز, دانشگاه فني و حرفه اي, https://www.civilica.com/Paper-AICT01-AICT01_068.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Barahmand, Nader & Alireza Aheste, 2016)
Second and more: (Barahmand & Aheste, 2016)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)

Scientometrics

The University/Research Center Information:
Type: Azad University
Paper No.: 1054
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

Research Info Management

Export Citation info of this paper to research management softwares

New Related Papers

Iran Scientific Advertisment Netword

Share this paper

WHAT IS COI?

COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.