Novel approach for predicting groundwater storage loss using machine learning-Reference-Cited by-同舟云学术

Novel approach for predicting groundwater storage loss using machine learning

Published:2021-10 Issue: Volume:296 Page:113237
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Kayhomayoon Zahra,Arya Azar Naser^ORCID,Ghordoyee Milan Sami^ORCID,Kardan Moghaddam Hamid,Berndtsson Ronny

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference49 articles.

1. Evaluating the impacts of pumping on aquifer depletion in arid regions using MODFLOW;Almuhaylan;ANFIS and ANN. Water,2020

2. The groundwater balance in alluvial plain aquifer at Dehgolan, Kurdistan, Iran;Amini;Appl. Water Sci.,2017

3. Numerical investigation of the groundwater balance in the mae sai aquifer, northern Thailand;Arlai;Procedia Eng.,2012

4. An apple grading system according to European fruit quality standards using Gabor filter and artificial neural networks;Asefpour Vakilian;Sci. Study Res. Chem. Chem. Eng. Biotechnol. Food Ind.,2016

5. A fuzzy-based decision making software for enzymatic electrochemical nitrate biosensors;Asefpour Vakilian;Chemometr. Intell. Lab. Syst.,2018

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating machine learning models in predicting dam inflow and hydroelectric power production in multi-purpose dams (case study: Mahabad Dam, Iran);Applied Water Science;2024-08-20

2. Machine Learning for Groundwater Storage Prediction: Leveraging Climatic Variables;2024-06-04

3. Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm;Cleaner Water;2024-06

4. Machine Learning-Based Water Management Strategies for Sustainable Groundwater Resources;SN Computer Science;2024-03-27

5. Large discrepancy between future demand and supply of agricultural water in northwestern Iran; evidence from WEAP-MODFLOW-machine learning under the CMIP6 scenario;Computers and Electronics in Agriculture;2024-01