Modelling water richness in riparian flood plain wetland using bivariate statistics and machine learning algorithms and figuring out the role of damming-Reference-Cited by-同舟云学术

Modelling water richness in riparian flood plain wetland using bivariate statistics and machine learning algorithms and figuring out the role of damming

Published:2021-05-20 Issue: Volume: Page:1-24
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Pal Swades¹,Sarda Rajesh¹

Affiliation:

1. Department of Geography, University of Gour Banga, Malda, India

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1920637

Reference112 articles.

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3. Application of an evidential belief function model in landslide susceptibility mapping

4. The Water Quality Consequences of Restoring Wetland Hydrology to a Large Agricultural Watershed in the Southeastern Coastal Plain

5. Arora A, Pandey M, Siddiqui, MA, Hong H, Mishra VN. 2019. Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon's entropy models. Geocarto Int. 1–32.

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