Simulation and Prediction of the Groundwater Level in the Surrounded Area of the Nebraska Management System Evaluation Area Site (msea)
نویسندگان
چکیده
منابع مشابه
Management of groundwater resources of Mahvelat-Faizabad aquifer and evaluation of extent of saline water zone using numerical simulation
The unmanaged groundwater extraction and inadequate aquifer recharge is the major cause of groundwater depletion in different parts of the world. In this study, the groundwater flow system of Mahvelat-Feizabad aquifer (NE of Iran) has been numerically simulated using MODFLOW code in the GMS interface. The model, primarily, calibrated for steady state condition for the mean hydraulic values of o...
متن کاملGroundwater level simulation using artificial neural network: a case study from Aghili plain, urban area of Gotvand, south-west Iran
In this paper, the Artificial Neural Network (ANN) approach is applied for forecasting groundwater level fluctuation in Aghili plain,southwest Iran. An optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (GDM), levenberg marquardt (LM), resilient back propagation (RP), and scaled conjugate gradient (SCG). Rain,evaporation, relative...
متن کاملEvaluation of WEAP-MODFLOW Model as an Integrated Water Resources Management Model for Sustainable Development (A Case Study: Gharesoo at Doab-Merek, Kermanshah, Iran)
This paper evaluated an integrated water resources management approach through linked WEAP-MODFLOW model. Study area is Ravasnar-Sanjabi plain located in Kermanshah province in the west of Iran. A MODFLOW model was evaluated and then, accepted as a groundwater model for the region in present research. Schematic WEAP model was provided as representing general features of water resources system a...
متن کاملIntegration of artificial neural network and geographic information system applications in simulating groundwater quality
Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. Methods: In this study, ANN was applied to simulate groundwater quality ...
متن کاملSite Selection for Groundwater Artificial Recharge in Silakhor Rangelands Using GIS Technique
Groundwater is among the most important resources of drinking water supply ofthe worldwide population. Use of recharge area is one of the methods for artificiallyrecharging groundwater. Selection of suitable sites for artificial recharge is very importantand must be carried out accurately. There are different types of land use, only rangelandsare appropriate for artificial recharge because of t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017