SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:su-186448"
 

Search: onr:"swepub:oai:DiVA.org:su-186448" > TET :

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Rahmati, Omid (author)

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

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • Elsevier BV,2020
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:su-186448
  • https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-186448URI
  • https://doi.org/10.1016/j.jclepro.2020.122051DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288292URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Export Date: 3 January 2021; Article; CODEN: JCROE; Correspondence Address: Tien Bui, D.; Institute of Research and Development, Duy Tan UniversityViet Nam; email: buitiendieu@duytan.edu.vn
  • 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.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Ghasemieh, Hoda (author)
  • Samadi, Mahmood (author)
  • Kalantari, ZahraStockholms universitet,Institutionen för naturgeografi(Swepub:kth)u1dxr4oj (author)
  • Tiefenbacher, John P. (author)
  • Nalivan, Omid Asadi (author)
  • Cerdà, Artemi (author)
  • Ghiasi, Seid Saeid (author)
  • Darabi, Hamid (author)
  • Haghighi, Ali Torabi (author)
  • Tien Bui, Dieu (author)
  • Stockholms universitetInstitutionen för naturgeografi (creator_code:org_t)

Related titles

  • In:Journal of Cleaner Production: Elsevier BV2660959-65261879-1786

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view