Influence of Biological Oxygen Demand Degradation Patterns on Water-Quality Modeling for Rivers Running through Urban Areas

2008 ◽  
Vol 1140 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Chihhao Fan ◽  
Wei-Shen Wang
Keyword(s):  
Water Quality ◽  
Urban Areas ◽  
Oxygen Demand ◽  
Water Quality Modeling ◽  
Biological Oxygen Demand ◽  
Quality Modeling

scholarly journals Development of Optimal Management Strategies for the Interception System Using River Water Quality Modeling

2018 ◽  
Vol 175 ◽  
pp. 03024
Author(s):  
Chen-Yao Ma ◽  
Yi-Chu Huang ◽  
Chih-Ming Kao
Keyword(s):  
Water Quality ◽  
Management Strategies ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Water Quality Modeling ◽  
Water Bodies ◽  
Quality Analysis ◽  
Quality Model ◽  
Quality Modeling ◽  
The Impact

This study adopted the water quality model [Water Quality Analysis Simulation Program (WASP)] to simulate and evaluate the impacts of the opening and closure of an interception system at the tributary of Love River on mainstream water quality. The gates were opened respectively for 4, 12, and 24 hours to assess the impact on biochemical oxygen demand (BOD) and ammonia nitrogen (NH3-N) in the water bodies of Love River. The WASP model was used to evaluate the self-purification capacity of the river. According to the results of the model estimation, it takes 5 days for NH3-N and BOD in the water bodies of Love River to return to normal and for the water to restore its original water quality after the closure of the Baozhu Ditch gate. Results of this study can be used as a reference for Love River watershed management, and the WASP modeling can be applied for decision makers to develop appropriate management strategies of the interception system.

scholarly journals Water Quality Modeling For Pollutant Carrying Capacity Assessment Using Qual2Kw In Bedog River

2018 ◽  
Vol 50 (1) ◽  
pp. 49 ◽  
Author(s):  
Akhmad Darajati Setiawan ◽  
M. Widyastuti ◽  
M. Pramono Hadi
Keyword(s):  
Water Quality ◽  
Carrying Capacity ◽  
Drainage System ◽  
Oxygen Demand ◽  
Water Quality Modeling ◽  
Point Sources ◽  
Residential Areas ◽  
Primary Parameter ◽  
Quality Modeling ◽  
Pollutant Sources

Considering the abundance of potential pollutant sources along Bedog River, i.e. highly dense residential areas, agricultural lands, and industrial areas, this study aimed to quantitatively assess the Pollutant Load (PL) and Pollutant Carrying Capacity (PCC) of the river based on Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD)parameters. The assessment employed a water quality modeling using Qual2Kw that provided not only the comprehensive values of PL and PCC but also the amount of PL that should be reduced to meet the PCC of every river segment. Water sampling and primary parameter measurement were conducted purposively in seven observation points, which included one point source and six non-point sources (river segments). River segments were determined according to the characteristics of land use and drainage system. Descriptive, graphic, and spatial analyses on water quality modeling show that the COD and BOD of Bedog River (2.24 km) indicates a small presence of PL compared to the river’s PCC. The PCC allows additional pollutant loads of 566.95 kg/day or 0.024 ton/hour BOD and 22,965.12 kg/day or 0.96 ton/hour COD. However, a high BOD in segments 3, 5, and 6 and a high COD in segment 5 imply the needs for PL reduction.

scholarly journals Sewage treatment efficiencies estimation for urban areas located in the River Pardo’s watershed by associating nonlinear programming and water quality modeling

2020 ◽  
Vol 56 (1) ◽  
pp. 65-75
Author(s):  
Lucas Gonçalves Rocha ◽  
Karinnie Nascimento de Almeida ◽  
José Antonio Tosta dos Reis ◽  
Antonio Sergio Ferreira Mendonça ◽  
Fernando das Graças Braga da Silva
Keyword(s):  
Water Quality ◽  
Organic Matter ◽  
Nonlinear Programming ◽  
Urban Areas ◽  
Sewage Treatment ◽  
Water Quality Modeling ◽  
Optimization Models ◽  
Organic Matter Removal ◽  
Quality Modeling ◽  
Removal Efficiencies

Estimating efficiencies required for sewage treatment plants within a river watershed, where there are usually multiple sewage discharges and water withdrawals points in watercourses, presenting different quality conditions and sewage assimilation capacities, is a complex task. In this context, combined optimization techniques and water quality modeling can be important tools to support sewage treatment efficiencies appropriation processes. In the present paper, QUAL-UFMG water quality model and Nonlinear Programming (NLP) are jointly applied to sewage treatment levels selection for the river Pardo’s (watercourse located in Espírito Santo State, Southern region, Brazil) watershed different urban areas. Four different optimization models were tested for estimating the minimum organic matter removal efficiencies. The results indicate strong dependence between the estimated minimum organic matter removal efficiencies within the watershed and equity measures incorporated in the optimization models.

Hydrodynamic and Water Quality Modeling of Lake Eğirdir

2014 ◽  
Vol 42 (11) ◽  
pp. 1573-1582 ◽  
Author(s):  
Meltem Kaçıkoç ◽  
Mehmet Beyhan
Keyword(s):  
Water Quality ◽  
Water Quality Modeling ◽  
Quality Modeling

Water quality modeling in the watershed-based approach for waste load allocations

1998 ◽  
Vol 38 (10) ◽  
pp. 165-172 ◽  
Author(s):  
Ruochuan Gu ◽  
Mei Dong
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Water Quality Modeling ◽  
Point Sources ◽  
Low Flow ◽  
Quality Analysis ◽  
Management Approach ◽  
Water Quality Control ◽  
Quality Modeling ◽  
Waste Load

The conventional method for waste load allocations (WLA) employs spatial-differentiation, considering individual point sources, and temporal-integration, using a constant flow, typically 7Q10 low flow. This paper presents a watershed-based seasonal management approach, in which non-point source as well as point sources are incorporated, seasonal design flows are used for water quality analysis, and WLA are performend in a watershed scale. The strategy for surface water quality modeling in the watershed-based approach is described. The concept of seasonal discharge management is discussed and suggested for the watershed-based approach. A case study using the method for the Des Moines River, Iowa, USA is conducted. Modeling considerations and procedure are presented. The significance of non-point source pollutant load and its impact on water quality of the river is evaluated by analyzing field data. A water quality model is selected and validated against field measurements. The model is applied to projections of future water quality situations under different watershed management and water quality control scenarios with respect to river flow and pollutant loading rate.

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