Data-based modelling approach for variable density flow and solute transport simulation in a coastal aquifer-Reference-Cited by-同舟云学术

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Data-based modelling approach for variable density flow and solute transport simulation in a coastal aquifer

Published:2018-01-08 Issue:2 Volume:63 Page:210-226
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Yadav Basant¹,Mathur Shashi²,Ch Sudheer³,Yadav Brijesh Kumar¹

Affiliation:

1. Department of Hydrology, Indian Institute of Technology, Roorkee, India

2. Department of Civil Engineering, Indian Institute of Technology, Delhi, India

3. Ministry of Environment Forest and Climate Change, Indira Paryavaran Bhawan Jor Bagh Road, New Delhi, India

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2017.1413491

Reference68 articles.

1. A Cost-Effective Method to Control Seawater Intrusion in Coastal Aquifers

2. Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine

3. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

4. Optimal Management of a Freshwater Lens in a Small Island Using Surrogate Models and Evolutionary Algorithms

5. A genetic programming approach to suspended sediment modelling

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3. MODELLING SEAWATER INTRUSION IN COASTAL AQUIFERS USING AUTOMATIC PROGRAMMING;Environmental Engineering and Management Journal;2023

4. Salinity Prediction in Coastal Aquifers of the Vietnamese Mekong River Delta Using Innovative Machine Learning Algorithms;Advances in Research on Water Resources and Environmental Systems;2023

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