CCTV Kamera Verileri Kullanılarak Atıksu Sistemlerinde Meydana Gelen Arızaların ve Etkili Faktörlerin İncelenmesi
Öz
Anahtar Kelimeler
Destekleyen Kurum
Proje Numarası
Teşekkür
Kaynakça
- Ammar MA, Moselhi O, Zayed TM, 2012. Decision support model for selection of rehabilitation methods of water mains. Structure and Infrastructure Engineering, 8: 847–855.
- Ana EV, Bauwens W, 2010. Modeling the structural deterioration of urban drainage pipes: the state-of-the-art in statistical methods. Urban Water Journal, 7: 47–59.
- Barreto W, Vojinovic Z, Price R, Solomatine D, 2010. Multiobjective Evolutionary Approach to Rehabilitation of Urban Drainage Systems, Journal of Water Resources Planning and Management, 136: 547–554.
- Carriço N, Covas DIC, Céu Almeida M, Leitão JP, Alegre H, 2012. Prioritization of rehabilitation interventions for urban water assets using multiple criteria decision-aid methods. Water Science and Technology, 66: 1007–1014.
- Cherqui F, Belmeziti A, Granger D, Sourdril A, Le Gauffre P, 2015. Assessing urban potential flooding risk and identifying effective risk-reduction measures. Science of the Total Environment, 514: 418–425.
- Choi T, Koo J, 2015. A water supply risk assessment model for water distribution network. Desalination and Water Treatment, 54: 1410–1420.
- Chughtai F, Zayed T, 2008. Infrastructure Condition Prediction Models for Sustainable Sewer Pipelines. Journal of Performance of Constructed Facilities, 22: 333–341.
- Del Giudice G, Padulano R, Siciliano D, 2016. Multivariate probability distribution for sewer system vulnerability assessment under data-limited conditions. Water Science and Technology, 73: 751–760.
Ayrıntılar
Birincil Dil
Türkçe
Konular
İnşaat Mühendisliği
Bölüm
Araştırma Makalesi
Yazarlar
Mahmut Fırat
*
0000-0002-8010-9289
Türkiye
Cansu Orhan
Bu kişi benim
0000-0002-0987-1297
Türkiye
Yayımlanma Tarihi
15 Aralık 2020
Gönderilme Tarihi
13 Şubat 2020
Kabul Tarihi
22 Haziran 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 10 Sayı: 4