An integrated genetic algorithm-fuzzy classifier (GA-FUZZY) to identify optimal sub-catchments for placing artificial ground recharge points-Reference-Cited by-同舟云学术

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An integrated genetic algorithm-fuzzy classifier (GA-FUZZY) to identify optimal sub-catchments for placing artificial ground recharge points

Published:2022-09-10 Issue: Volume: Page:
ISSN:1735-1472
Container-title:International Journal of Environmental Science and Technology
language:en
Short-container-title:Int. J. Environ. Sci. Technol.

Author:

Mousi P.,Bhuvaneswari V.

Funder

DST PURSE PHASE II

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s13762-022-04476-2.pdf

Reference37 articles.

1. Aghel B, Rezaei A, Mohadesi M (2019) Modeling and prediction of water quality parameters using a hybrid particle swarm optimization–neural fuzzy approach. Int J Environ Sci Technol 16:4823–4832

2. Anderson ML et al (2002) Couplinf HEC-HMS with atmospheric models for prediction of watershed runoff. J Hydrol Eng 7:312–318

3. Biswas PK, Mitra K (2010) Drinking water in rural India: a study of deficiency, quality and some social implications. Water Policy 12:885–897

4. Christopher S et al (2019) Street tree stormwater control measures can reduce runoff but may not benefit established trees. Landsc Urban Plan 182:144–155

5. Commission Planning Eleventh Five Year Plan (2007–2012) [Report] (2008). Oxford University Press, New Delhi

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