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Investigating the Impacts of DEM Type, Resolution, and Noise on Extracted Hydro-Geomorphologic Parameters of Watersheds via GIS

Investigating the Impacts of DEM Type, Resolution, and Noise on Extracted Hydro-Geomorphologic Parameters of Watersheds via GIS

Vahid Nourani, Safa Mokhtarian Asl, Maryam Khosravi Sorkhkolaee, Aida Hosseini Baghanam, Masoud Mehrvand
Copyright: © 2018 |Pages: 43
ISBN13: 9781522550396|ISBN10: 1522550399|EISBN13: 9781522550402
DOI: 10.4018/978-1-5225-5039-6.ch006
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MLA

Nourani, Vahid, et al. "Investigating the Impacts of DEM Type, Resolution, and Noise on Extracted Hydro-Geomorphologic Parameters of Watersheds via GIS." Emerging Trends in Open Source Geographic Information Systems, edited by Naveenchandra N. Srivastava, IGI Global, 2018, pp. 133-175. https://doi.org/10.4018/978-1-5225-5039-6.ch006

APA

Nourani, V., Asl, S. M., Sorkhkolaee, M. K., Baghanam, A. H., & Mehrvand, M. (2018). Investigating the Impacts of DEM Type, Resolution, and Noise on Extracted Hydro-Geomorphologic Parameters of Watersheds via GIS. In N. Srivastava (Ed.), Emerging Trends in Open Source Geographic Information Systems (pp. 133-175). IGI Global. https://doi.org/10.4018/978-1-5225-5039-6.ch006

Chicago

Nourani, Vahid, et al. "Investigating the Impacts of DEM Type, Resolution, and Noise on Extracted Hydro-Geomorphologic Parameters of Watersheds via GIS." In Emerging Trends in Open Source Geographic Information Systems, edited by Naveenchandra N. Srivastava, 133-175. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5039-6.ch006

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Abstract

Water resources management is dependent on knowledge and understanding of water quantity and quality information with the latest developments in information technology such as geographic information system (GIS) to develop effective hydrological modeling within the water-based systems. The efficiency of such hydrological modeling relies on the accuracy of applied data. In this way, the application of low-quality data in developing models for integrated management of water resources can impose irreparable financial and human resources and environmental costs in the catchment area. Thus, in regions that shortage of data is the issue, semi-distributed modeling is a useful tool. In this chapter, three aims are followed: (1) effect of digital elevation model (DEM) type and resolution on extracted hydro-geomorphologic parameters, (2) effect of wavelet-based de-noising method on extracted hydro-geomorphologic parameters, (3) determination of the optimal cell size to extract topographic attributes with good agreement to the real features.

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