Using computational-intelligence algorithms and remote sensing data to optimize the locations of check dams to control sediment and runoff in Kandolus watershed, Mazandaran, Iran-Reference-Cited by-同舟云学术

Using computational-intelligence algorithms and remote sensing data to optimize the locations of check dams to control sediment and runoff in Kandolus watershed, Mazandaran, Iran

Published:2022-05-29 Issue:26 Volume:37 Page:12966-12988
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Band Shahab S.¹,Chandra Pal Subodh²^ORCID,Bateni Sayed M.³^ORCID,Jun Changhyun⁴,Saha Asish²^ORCID,Chowdhuri Indrajit²,Tiefenbacher John P.⁵^ORCID,Janizadeh Saeid⁶

Affiliation:

1. Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, Douliou, Yunlin, Taiwan, ROC

2. Department of Geography, The University of Burdwan, Bardhaman, India

3. Department of Civil and Environmental Engineering, and Water Resources Research Center, University of Hawaii at Moanoa, Honolulu, HI, USA

4. Department of Civil and Environmental Engineering, College of Engineering, Chung-Ang University, Seoul, Korea

5. Department of Geography, Texas State University, San Marcos, TX, USA

6. Faculty of Natural Resource and Marine Science, Tarbiat Modares University (TMU), Tehran, Iran

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2076909

Reference91 articles.

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4. Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach

5. Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms

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