Water quality forecasting using a Novel Hybrid DNN-MBGD optimization and WAWQI technique for assessment of surface water quality index in 10 districts of Uttar Pradesh-Reference-Cited by-同舟云学术

Water quality forecasting using a Novel Hybrid DNN-MBGD optimization and WAWQI technique for assessment of surface water quality index in 10 districts of Uttar Pradesh

Published:2023-07-22 Issue:3 Volume:132 Page:
ISSN:0973-774X
Container-title:Journal of Earth System Science
language:en
Short-container-title:J Earth Syst Sci

Author:

Sinha Subha

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12040-023-02127-9.pdf

Reference41 articles.

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3. Chatterjee R and Lataye D H 2020 Analysis of water quality parameters and their variation for surface water using GIS-based tools; In: Applications of Geomatics in Civil Engineering, Springer, Singapore, pp. 289–302.

4. Chaurasia A K, Pandey H K, Tiwari S K, Pandey P and Ram A 2021 Groundwater vulnerability assessment using water quality index (WQI) under geographic information system (GIS) framework in parts of Uttar Pradesh, India; Sustain. Water Resour. Manag. 7(3) 1–15.

5. Chen K, Chen H, Zhou C, Huang Y, Qi X, Shen R, Liu F et al. 2020 Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data; Water Res. 171 115454.

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