Predicting groundwater recharge potential zones using geospatial technique
Crossref DOI link: https://doi.org/10.1007/s40899-020-00384-w
Published Online: 2020-02-22
Published Print: 2020-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Akter, Aysha https://orcid.org/0000-0002-5730-1379
Uddin, Abir Md Humam
Wahid, Khalid Ben
Ahmed, Shoukat
Funding for this research was provided by:
CUET
Text and Data Mining valid from 2020-02-22
Version of Record valid from 2020-02-22
Article History
Received: 26 May 2019
Accepted: 10 February 2020
First Online: 22 February 2020