A System Dynamics Model for Water Quality Management - Waste Load Allocation

2011 ◽  
Vol 291-294 ◽  
pp. 1781-1785
Author(s):  
Wei Yang ◽  
Miao Ju Chen ◽  
Ying Liu ◽  
Feng Yao Jin
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
System Dynamics ◽  
Water Quality Management ◽  
Water Environment ◽  
Liaoning Province ◽  
Liaohe River ◽  
Study Results ◽  
Waste Load ◽  
Sd Model

A simulation-based system dynamics (SD) model was developed for allocating the waste load and supporting river quality management. Panjin section of Liaohe River in China was used as a study case to demonstrate the feasibility of the proposed methodology. The national surface-water environment function zoning of Liaoning Province was presented as a constraint in order to calculate the maximum allowable waste quantity for COD, which is expressed as interval format of both upper bound and lower bound. Then allocate the waste load to each point source responses within these quantities. The study results simulated from SD model, together with the intervals-format uncertainties of allowable COD level is valuable for supporting decision makers in optimizing water quality management.

Public perception and water quality management

1996 ◽  
Vol 34 (12) ◽  
pp. 25-32 ◽  
Author(s):  
Margaret A. House
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Management ◽  
Environmental Quality ◽  
Public Perception ◽  
Water Quality Management ◽  
Management Strategies ◽  
Water Environment ◽  
Surface Water Quality ◽  
The Impact

The visual and odorous characteristics of the environment tend to be those which have the greatest impact upon the public's assessment of environmental quality. In many cases the public's perception of water quality may be based entirely on these aesthetic aspects of a water environment. Those responsible for the management of surface water quality recognise the need to apply a range of management strategies including a consideration of the public's perception of water quality and the impact of this upon their use of rivers and beaches for recreation and amenity. This paper reports upon the results from a recent investigation into the impact of sewage derived litter on perceived water and environmental quality.

Mathematical modeling – a tool for coastal water quality management

1999 ◽  
Vol 40 (2) ◽  
pp. 151-157 ◽  
Author(s):  
A. U. Mahajan ◽  
C. V. Chalapatirao ◽  
S. K. Gadkari
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Coastal Water ◽  
Water Quality Management ◽  
Water Quality Criteria ◽  
Water Quality Modelling ◽  
Waste Load Allocation ◽  
Coastal Water Quality ◽  
Waste Load

This paper suggests an approach to solve the Indian coastal water quality management problem based on waste load allocation studies and application of modelling techniques. The waste load allocation procedure suggested in this paper assists in deriving a quantitative relationship between the waste load discharged and the receiving coastal water concentrations or effects of concern as presented by water quality standards. The approach sequentially addresses the topics of hydrodynamics, mass transport, water quality kinetics and problems of bioaccumulation and toxicity. The water quality modelling section describes the role of water quality modelling in WLA procedure. The paper also discusses the criteria and procedures for formulation of coastal zone management plans. The second part of the paper illustrates the concept with the help of brief case studies wherein simple screening procedures and the water quality modeling techniques have been applied. The first case study describes the application of the WASP model to arrive at the level of treatment required for municipal wastewater being discharged into Mumbai coastal waters so that the designated coastal water quality criteria is not violated and the degree of treatment is optimized. The second case study deals with the study of different options relating to disposal of tailings from an iron ore beneficiation plant keeping in view the impact of these tailings on marine water quality and ecology.

Waste load allocation for water quality management of a heavily polluted river using linear programming

2003 ◽  
Vol 48 (10) ◽  
pp. 185-190 ◽  
Author(s):  
J.H. Cho ◽  
K.H. Ahn ◽  
W.J. Chung ◽  
E.M. Gwon
Keyword(s):  
Water Quality ◽  
Linear Programming ◽  
Quality Management ◽  
River Basin ◽  
Water Quality Management ◽  
Load Reduction ◽  
Waste Load Allocation ◽  
Transfer Coefficients ◽  
Allocation Model ◽  
Waste Load

A waste load allocation model using linear programming has been developed for economic water quality management. A modified Qual2e model was used for water quality calculations and transfer coefficients were derived from the calculated water quality. This allocation model was applied to the heavily polluted Gyungan River, located in South Korea. For water quality management of the river, two scenarios were proposed. Scenario 1 proposed to minimise the total waste load reduction in the river basin. Scenario 2 proposed to minimise waste load reduction considering regional equity. Waste loads, which have to be reduced at each sub-basin and WWTP, were determined to meet the water quality goal of the river. Application results of the allocation model indicate that advanced treatment is required for most of the existing WWTPs in the river basin and construction of new WWTPs and capacity expansion of existing plants are necessary. Distribution characteristics of pollution sources and pollutant loads in the river basin was analysed using Arc/View GIS.

scholarly journals Advancing Understanding of Land Use and Physicochemical Impacts on Fecal Contamination in Mixed-Land-Use Watersheds

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1094 ◽  
Author(s):  
Fritz Petersen ◽  
Jason A. Hubbart
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Quality Management ◽  
Water Quality Management ◽  
Fecal Contamination ◽  
Concentration Data ◽  
E Coli ◽  
Study Results ◽  
Mixed Land Use ◽  
Land Use Practices

Understanding mixed-land-use practices and physicochemical influences on Escherichia (E.) coli concentrations is necessary to improve water quality management and human health. Weekly stream water samples and physicochemical data were collected from 22 stream gauging sites representing varying land use practices in a contemporary Appalachian watershed of the eastern USA. Over the period of one annual year, Escherichia (E.) coli colony forming units (CFU) per 100 mL were compared to physicochemical parameters and land use practices. Annual average E. coli concentration increased by approximately 112% from acid mine drainage (AMD) impacted headwaters to the lower reaches of the watershed (approximate averages of 177 CFU per 100 mL vs. 376 CFU per 100 mL, respectively). Significant Spearman’s correlations (p < 0.05) were identified from analyses of pH and E. coli concentration data representing 77% of sample sites; thus highlighting legacy effects of historic mining (AMD) on microbial water quality. A tipping point of 25–30% mixed development was identified as leading to significant (p < 0.05) negative correlations between chloride and E. coli concentrations. Study results advance understanding of land use and physicochemical impacts on fecal contamination in mixed-land-use watersheds, aiding in the implementation of effective water quality management practices and policies.

scholarly journals Simulation for water quality management using system dynamics modeling in the Bedadung Watershed, East Java, Indonesia

2022 ◽  
Vol 9 (2) ◽  
pp. 3217-3327
Author(s):  
Hendra Andiananta Pradana ◽  
Elida Novita ◽  
Bambang Herry Purnomo
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
System Dynamics ◽  
River Water ◽  
Water Discharge ◽  
Water Quality Management ◽  
Oxygen Demand ◽  
Dynamics Simulation ◽  
System Dynamics Modeling ◽  
Dynamics Modeling

The potential for pollution of rivers is influenced by river-water discharge and the distribution of pollution sources. This research aimed to examine recommendations for water quality management in the Bedadung River segment of the Patrang, Sumbersari, and Kaliwates Districts as an urban area of Jember Regency refer to simulations of the total pollution load capacity for 10 years (2016-2026) using a system dynamics modeling. The preparation of a system dynamics modeling used Powersim 5.0 software. It could represent holistic environmental management modeling. The input data were total suspended solid (TSS), biochemical oxygen demand (BOD), chemical oxygen demand (COD) and the streamflow of the Bedadung River. The model scenarios were the business of usual, moderate, and optimistic scenarios involving environmental and socio-economic aspects. The medium-term and long-term recommendations for water quality management of the Bedadung River based on system dynamics simulation were respectively moderate scenario and optimistic scenario. The strategies of the moderate scenario were application of the best management practice method in agricultural cultivation, improving sanitation and domestic wastewater treatment, implementing clean production in the field of livestock and industry, as well as waste management on riverbanks. These alternative strategies for river water quality management can be used as consideration for protecting surface water sources in urban areas.

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