Non-deposition design criteria for sewers with part-full flow

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/15730620903242824
  • Publication Date
    2010/02/01
  • Journal
    Urban Water Journal
  • Indian UGC (journal)
  • Refrences
    36
  • Citations
    71
  • Natchapon Vongvisessomjai
  • Tawatchai Tingsanchali
  • Mukand S. Babel
Cite
Vongvisessomjai, Natchapon, et al. “Non-Deposition Design Criteria for Sewers With Part-Full Flow”. Urban Water Journal, vol. 7, no. 1, 2010, pp. 61-77, https://doi.org/10.1080/15730620903242824.
Vongvisessomjai, N., Tingsanchali, T., & Babel, M. S. (2010). Non-deposition design criteria for sewers with part-full flow. Urban Water Journal, 7(1), 61-77. https://doi.org/10.1080/15730620903242824
Vongvisessomjai N, Tingsanchali T, Babel MS. Non-deposition design criteria for sewers with part-full flow. Urban Water Journal. 2010;7(1):61-77.
Journal Categories
Science
Biology (General)
Ecology
Technology
Environmental technology
Sanitary engineering
Technology
Hydraulic engineering
River, lake, and water-supply engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Sediment Transport over Deposited Beds in Sewers

 Water Science & Technology
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General): Environmental engineering
  • Geography. Anthropology. Recreation: Environmental sciences
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
  • Technology: Environmental technology. Sanitary engineering
 31 1994
10.1061/JYCEAJ.0004412 1975
10.1061/JEEGAV.0000175 1974
10.1061/JYCEAJ.0003791 1973
10.1061/JYCEAJ.0003352 1972
Citations
Title Journal Journal Categories Citations Publication Date
Lq-norm multiple kernel fusion regression for self-cleansing sediment transport

 Artificial Intelligence Review
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Discussion of “Estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models” Journal of Pipeline Systems Engineering and Practice
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 2024
A machine learning approach for predicting and localizing the failure and damage point in sewer networks due to pipe properties

 Journal of Water and Health
  • Medicine: Public aspects of medicine
  • Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Geography. Anthropology. Recreation: Environmental sciences
  • Science: Microbiology
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
 2024
Ensemble and optimized hybrid algorithms through Runge Kutta optimizer for sewer sediment transport modeling using a data pre-processing approach International Journal of Sediment Research
  • Technology: Hydraulic engineering: River protective works. Regulation. Flood control
  • Technology: Hydraulic engineering: Harbors and coast protective works. Coastal engineering. Lighthouses
  • Geography. Anthropology. Recreation: Environmental sciences
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
 2023
Characterization of biofilm bacterial communities in rural drainage system ancillary facilities Results in Engineering
  • Technology: Engineering (General). Civil engineering (General)
 2023
Citations Analysis
Category Category Repetition
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)49
Technology: Environmental technology. Sanitary engineering38
Science: Biology (General): Ecology38
Technology: Engineering (General). Civil engineering (General)28
Geography. Anthropology. Recreation: Environmental sciences28
Technology: Engineering (General). Civil engineering (General): Environmental engineering17
Science: Mathematics: Instruments and machines: Electronic computers. Computer science9
Technology: Mechanical engineering and machinery7
Science: Geology5
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics5
Technology: Hydraulic engineering: River protective works. Regulation. Flood control5
Technology: Hydraulic engineering: Harbors and coast protective works. Coastal engineering. Lighthouses5
Technology: Environmental technology. Sanitary engineering: Water supply for domestic and industrial purposes4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Technology: Technology (General): Industrial engineering. Management engineering: Information technology2
Technology: Technology (General): Industrial engineering. Management engineering2
Agriculture1
Agriculture: Agriculture (General)1
Agriculture: Plant culture1
Medicine1
Science1
Science: Science (General)1
Science: Mathematics: Instruments and machines1
Technology: Manufactures: Production management. Operations management1
Science: Mathematics1
Science: Physics: Meteorology. Climatology1
Technology: Ocean engineering1
Technology: Hydraulic engineering1
Science: Physics1
Science: Biology (General)1
Agriculture: Aquaculture. Fisheries. Angling1
Medicine: Public aspects of medicine1
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene1
Science: Microbiology1
The category Technology: Hydraulic engineering: River, lake, and water-supply engineering (General) 49 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Gene-Expression Programming for Sediment Transport in Sewer Pipe Systems and was published in 2011. The most recent citation comes from a 2024 study titled A machine learning approach for predicting and localizing the failure and damage point in sewer networks due to pipe properties. This article reached its peak citation in 2021, with 12 citations. It has been cited in 40 different journals, 30% of which are open access. Among related journals, the Water Science & Technology cited this research the most, with 10 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year