Water quality assessment in a dense urban landscape using Statistical Analysis (SA), Artificial Intelligence (AI) and Geographic Information System (GIS)
- DOI
- 10.1007/s10661-026-15907-9
- Published
- 2026-09-21
- Container
- Environmental Monitoring and Assessment
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15907-9,
title = {Water quality assessment in a dense urban landscape using Statistical Analysis (SA), Artificial Intelligence (AI) and Geographic Information System (GIS)},
author = {Md. Hasan and Asma Ul Hosna and Md. Sojib Sheikh and Tanvir Ahmed Khan and Md. Tafhimul Hasan and Md Hasibul Islam and Mohammad Nyme Uddin},
year = {2026},
journal = {Environmental Monitoring and Assessment},
doi = {10.1007/s10661-026-15907-9},
url = {https://doi.org/10.1007/s10661-026-15907-9}
}RIS
TY - JOUR TI - Water quality assessment in a dense urban landscape using Statistical Analysis (SA), Artificial Intelligence (AI) and Geographic Information System (GIS) AU - Md. Hasan AU - Asma Ul Hosna AU - Md. Sojib Sheikh AU - Tanvir Ahmed Khan AU - Md. Tafhimul Hasan AU - Md Hasibul Islam AU - Mohammad Nyme Uddin PY - 2026 JO - Environmental Monitoring and Assessment DO - 10.1007/s10661-026-15907-9 UR - https://doi.org/10.1007/s10661-026-15907-9 ER -
APA
Hasan, M., Hosna, A. U., Sheikh, M. S., Khan, T. A., Hasan, M. T., Islam, M. H., & Uddin, M. N. (2026). Water quality assessment in a dense urban landscape using Statistical Analysis (SA), Artificial Intelligence (AI) and Geographic Information System (GIS). Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-15907-9
Source records
- crossref · retrieved 2026-11-06T22:07:03.795Z