SEDIMENT AND NUTRIENT MODELING FOR TMDL DEVELOPMENT AND IMPLEMENTATION

Article Properties
  • Language
    English
  • Publication Date
    2006/01/01
  • Indian UGC (journal)
  • Citations
    77
  • D. K. Borah
  • G. Yagow
  • A. Saleh
  • P. L. Barnes
  • W. Rosenthal
  • E. C. Krug
  • L. M. Hauck
Journal Categories
Agriculture
Agriculture
Agriculture (General)
Citations
Title Journal Journal Categories Citations Publication Date
A comparative study of data-driven models for runoff, sediment, and nitrate forecasting Journal of Environmental Management
  • Geography. Anthropology. Recreation: Environmental sciences
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
13 2023
Quantifying the contribution of external loadings and internal hydrodynamic processes to the water quality of Lake Okeechobee Science of The Total Environment
  • Geography. Anthropology. Recreation: Environmental sciences
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
4 2023
Predicting in-stream water quality constituents at the watershed scale using machine learning Journal of Contaminant Hydrology
  • Geography. Anthropology. Recreation: Environmental sciences
  • Science: Geology
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
4 2022
Climatic and hydrogeomorphic controls on sediment characteristics in the southern Sierra Nevada Journal of Hydrology
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Geology
  • Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
5 2022
Conceptual principles of watering control under irrigation

Міжвідомчий тематичний науковий збірник "Меліорація і водне господарство"
  • Technology: Hydraulic engineering
2022
Citations Analysis
Category Category Repetition
Technology: Environmental technology. Sanitary engineering58
Science: Biology (General): Ecology57
Geography. Anthropology. Recreation: Environmental sciences43
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)39
Science: Geology16
Technology: Engineering (General). Civil engineering (General)15
Agriculture: Agriculture (General)13
Agriculture12
Agriculture: Plant culture8
Technology: Engineering (General). Civil engineering (General): Environmental engineering6
Science6
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Science: Biology (General)2
Social Sciences: Economic theory. Demography: Economics as a science2
Social Sciences: Commerce: Business2
Technology: Hydraulic engineering2
Technology: Chemical technology: Biotechnology1
Science: Microbiology1
Science: Chemistry: Organic chemistry: Biochemistry1
Medicine1
Science: Science (General)1
Science: Mathematics: Probabilities. Mathematical statistics1
Geography. Anthropology. Recreation: Oceanography1
Agriculture: Aquaculture. Fisheries. Angling1
Agriculture: Animal culture1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Social Sciences: Communities. Classes. Races: Urban groups. The city. Urban sociology: City planning1
Science: Chemistry: Analytical chemistry1
Social Sciences: Industries. Land use. Labor1
Social Sciences: Social history and conditions. Social problems. Social reform1
Social Sciences1
Technology: Mechanical engineering and machinery: Renewable energy sources1
The category Technology: Environmental technology. Sanitary engineering 58 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Storm Event and Continuous Hydrologic Modeling for Comprehensive and Efficient Watershed Simulations and was published in 2007. The most recent citation comes from a 2023 study titled A comparative study of data-driven models for runoff, sediment, and nitrate forecasting. This article reached its peak citation in 2019, with 8 citations. It has been cited in 44 different journals, 11% of which are open access. Among related journals, the Agricultural Water Management cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year