University of Oulu

Omid Rahmati, Hoda Ghasemieh, Mahmood Samadi, Zahra Kalantari, John P. Tiefenbacher, Omid Asadi Nalivan, Artemi Cerdà, Seid Saeid Ghiasi, Hamid Darabi, Ali Torabi Haghighi, Dieu Tien Bui, TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency, Journal of Cleaner Production, Volume 266, 2020, 122051, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2020.122051

TET : an automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

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Author: Rahmati, Omid1,2; Ghasemieh, Hoda3; Samadi, Mahmood4;
Organizations: 1Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
2Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
3Department of Range and Watershed Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Isfahan, Iran
4Faculty of Natural Resources, University of Tehran, Karaj, Iran
5Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, SE-106 91, Stockholm, Sweden
6Department of Geography, Texas State University, San Marcos, TX, 78666, USA
7Department of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
8Soil Erosion and Degradation Research Group, Department of Geography, Valencia University, Blasco Ibàñez, 28, 46010, Valencia, Spain
9Water, Energy and Environmental Engineering Research Unit, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2020063046388
Language: English
Published: Elsevier, 2020
Publish Date: 2022-05-11
Description:

Abstract

Sediment control is important for supplying clean water. Although check dams control sediment yield, site selection for check dams based on the sediment trapping efficiency (TE) is often complex and time-consuming. Currently, a multi-step trial-and-error process is used to find the optimal sediment TE for check dam construction, which limits this approach in practice. To cope with this challenge, we developed a user-friendly, cost- and time-efficient geographic information system (GIS)-based tool, the trap efficiency tool (TET), in the Python programming language. We applied the tool to two watersheds, the Hableh-Rud and the Poldokhtar, in Iran. To identify suitable sites for check dams, four scenarios (S1: TE ≥ 60%, S2: TE ≥ 70%, S3: TE ≥ 80%, S4: TE ≥ 90%) were tested. TET identified 189, 117, 96, and 77 suitable sites for building check dams in S1, S2, S3, and S4, respectively, in the Hableh-Rud watershed, and 346, 204, 156, and 60 sites in S1, S2, S3, and S4, respectively, in the Poldokhtar watershed. Evaluation of 136 existing check dams in the Hableh-Rud watershed indicated that only 10% and 5% were well-located and these were in the TE classes of 80–90% and ≥90%, respectively. In the Poldokhtar watershed, only 11% and 8% of the 207 existing check dams fell into TE classes 80–90% and ≥90%, respectively. Thus, the conventional approach for locating suitable sites at which check dams should be constructed is not effective at reaching suitable sediment control efficiency. Importantly, TET provides valuable insights for site selection of check dams and can help decision makers avoid monetary losses incurred by inefficient check-dam performance.

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Series: Journal of cleaner production
ISSN: 0959-6526
ISSN-E: 1879-1786
ISSN-L: 0959-6526
Volume: 266
Article number: 122051
DOI: 10.1016/j.jclepro.2020.122051
OADOI: https://oadoi.org/10.1016/j.jclepro.2020.122051
Type of Publication: A1 Journal article – refereed
Field of Science: 212 Civil and construction engineering
113 Computer and information sciences
Subjects:
GIS
Funding: The authors would like to thank the Iranian Department Water Resources Management (IDWRM) and the Forest, Range and Watershed Organization (FRWO) for supplying required maps, data, and reports. This research was partially supported by the Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Viet Nam.
Copyright information: © 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
  https://creativecommons.org/licenses/by-nc-nd/4.0/