Author:
Narayanamurthi Vishnuvardan,Ramasamy Annadurai
Publisher
Springer Nature Singapore
Reference9 articles.
1. Gaur S, Johannet A, Graillot D, Omar PJ (2021) Modeling of groundwater level using artificial neural network algorithm and WA-SVR model. In: Groundwater resources development and planning in the semi-arid region, pp 129–150. https://doi.org/10.1007/978-3-030-68124-1_7
2. Gebere A, Kawo NS, Karuppannan S, Hordofa AT, Paron P (2021) Numerical modeling of groundwater flow system in the Modjo River catchment, Central Ethiopia. Model Earth Syst Environ 7:2501–2515. https://doi.org/10.1007/S40808-020-01040-0
3. Berehanu B, Ayenew T, Azagegn T, Berehanu B, Ayenew T, Azagegn T (2017) Challenges of groundwater flow model calibration using MODFLOW in Ethiopia: with particular emphasis to the Upper Awash River Basin. J Geosci Environ Prot 5:50–66. https://doi.org/10.4236/GEP.2017.53005
4. Mabrouk M, Jonoski A, Oude Essink GHP, Uhlenbrook S (2019) Assessing the fresh–saline groundwater distribution in the Nile delta aquifer using a 3D variable-density groundwater flow model. Mdpi.Com. https://doi.org/10.3390/w11091946
5. Serrano R, Guadagnini L, Riva M, Giudici M (2014) Impact of two geostatistical hydro-facies simulation strategies on head statistics under non-uniform groundwater flow. J Hydrol (Amst). https://www.sciencedirect.com/science/article/pii/S0022169413008251. Accessed 2 Mar 2023