[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 14, Issue 42 (10-2018) ::
jwmseir 2018, 14(42): 102-111 Back to browse issues page
Prediction of Aquifer Fluctuations Using Neural Networks Models and HARTT Model (Case Study: Yazd-Ardakan Plain)
فاطمه برزگری
دانشگاه پیام نور
Abstract:   (809 Views)
Over the last decades, ground waters are considered as substantial water resources in many parts of the world. Unfortunately, the intensive use of groundwater resources has often affected ground water levels. Yazd-Ardakan region is one of the critical areas from water resources perspective. This paper analyzes the impacts of climate change and human pressures on Yazd- Ardakan aquifer. HADCM3 circulation Model and different scenarios were used for future climate changes prediction in the study area. Water levels in the study aquifer were simulated using Artificial Neural Networks and HARTT model for present and future (2016-2033) periods. Validation of applied models showed that HARTT model has good ability in modeling the water table fluctuations. Ground water fluctuation prediction by HARTT model showed that if climate changes and groundwater extra exploitation continues, this trend will lead to nine m degradation in aquifer level till 2033 year. The continuation of this situation will involve serious degradation of aquifers in quantitative and qualitative terms. Therefore, with regard to limited water resources and fragile climate of the study area, it is suggested that decision makers consider this issue in planning the future perspectives of the study area.
Keywords: Aquifer, HARTT Model, Artificial Neural Networks, Climate Changes
Full-Text [PDF 900 kb]   (6 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/06/6 | Accepted: 2018/01/30 | Published: 2018/10/10
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA code


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

برزگری ف. Prediction of Aquifer Fluctuations Using Neural Networks Models and HARTT Model (Case Study: Yazd-Ardakan Plain). jwmseir. 2018; 14 (42) :102-111
URL: http://jwmsei.ir/article-1-737-en.html


Volume 14, Issue 42 (10-2018) Back to browse issues page
مجله علوم ومهندسی آبخیزداری ایران Iranian Journal of Watershed Management Science and Engineering
Persian site map - English site map - Created in 0.05 seconds with 31 queries by YEKTAWEB 3790