Prediction of drainage morphometry using a genetic landscape evolution algorithm-Reference-Cited by-同舟云学术

Prediction of drainage morphometry using a genetic landscape evolution algorithm

Published:2020-06-22 Issue: Volume: Page:1-14
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Mokarram Marzieh¹^ORCID,Pourghasemi Hamid Reza²,Tiefenbacher John P.³,Saber Ali⁴

Affiliation:

1. Department of Range and Watershed Management, College of Agriculture and Natural Resources of Darab, Shiraz University, Shiraz, Iran;

2. Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran;

3. Department of Geography, Texas State University, San Marcos, Texas, USA;

4. Department of Civil and Environmental Engineering and Construction, University of Nevada, Nevada, USA

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1762766

Reference44 articles.

1. Anders NS, Seijmonsbergen AC, Bouten W. 2011. Segmentation optimization and stratified object-based analysis for semi-automated geomorphological mapping. Remote Sens. Environ. 115(12):2976–2985.

2. Morphometric analysis and flash floods of Wadi Sudr and Wadi Wardan, Gulf of Suez, Egypt: using digital elevation model

3. Bajabaa S, Masoud M, Al-Amri N. 2014. Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia). Arab. J. Geosci. 7(6):2469–2481.

4. Baker VR, Kochel RC, Patton PC. 1979. Long-term flood frequency analysis using geological data. IAHS. 128:3–9.

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