Use of co-created causal loop diagrams and fuzzy-cognitive scenario analysis for water quality management

Coastal Water Quality ◽

Causal Loop ◽

Causal Loop Diagrams ◽

Quality Issues

<p>Current understanding is fragmented of the environmental, economic, and social processes involved in water quality issues. The fragmentation is particularly evident for coastal water quality, impacted both by local land catchment and larger-scale marine pressures and impacts. Research and policy so far has primarily addressed coastal water quality issues from either a land-based or a sea-based perspective, which does not support integrated management of the coupled land-coast-sea systems affecting coastal waters. For example, mitigation measures for improving the severe Baltic Sea eutrophication have mostly focused on land-based drivers, and not yet managed to sufficiently improve coastal or marine water quality. The strong human dimension involved in these water quality issues also highlights a need for participatory approaches to facilitate knowledge integration and drive synergistic strategic planning for sustainable management of coastal water quality. Considering the Swedish water management district of Northern Baltic Proper, including its main Norrstr&#246;m drainage basin and surrounding coastal catchment areas and waters, this study has used a participatory approach to evaluate various land-sea water quality interactions and associated management measures. A causal loop diagram has been co-created with different stakeholder groups, following a problem-oriented system thinking approach. This has been further used in fuzzy-cognitive scenario analysis to assess integrated land-coast-sea system behavior under changing human pressures and hydro-climatic conditions. Results show that synergy of several catchment measures is needed to improve coastal water quality locally, while cross-system/sector cooperation is also needed among all contributing national catchments to mitigate coastal eutrophication at the scale of the whole Baltic Sea. Furthermore, large-scale hydro-climatic changes and long-lived nutrient legacy sources also need to be accounted for in water quality management strategies and measures. System dynamics modelling, based on co-created causal loop diagrams and fuzzy-cognitive scenario analysis like those developed in this study, can support further quantification and analysis of the impacts of various mitigation strategies and measures on regional water quality problems and their possible sustainable solutions.</p>

Mathematical modeling ? A tool for coastal water quality management

10.1016/s0273-1223(99)00439-4 ◽

1999 ◽

Vol 40 (2) ◽

Cited By ~ 2

Keyword(s):

Mathematical Modeling ◽

Water Quality ◽

Quality Management ◽

Coastal Water ◽

Coastal Water Quality

Strategies for Coastal Water Quality Management: A Case Study of Laem Chabang (Thailand) Deep-Sea Port Development

10.2166/wst.1988.0206 ◽

1988 ◽

Vol 20 (6-7) ◽

pp. 221-228

Author(s):

Samorn Muttamara ◽

Julito M. Baldisimo

Keyword(s):

Water Quality ◽

Quality Management ◽

Coastal Water ◽

Deep Sea ◽

Tourism Industry ◽

Marine Habitat ◽

Port Development ◽

Coastal Water Quality ◽

Seawater Quality

An environmental study was conducted as a part of coastal water quality management for Laem Chabang Deep-Sea Port. It was revealed that the existing seawater quality at Laem Chabang area is generally well within standards for unpolluted seawater, making it suitable for fishing and recreation. Environmental impact assessment of the different activities to be carried out in relation to the Laem Chabang port development indicated that the following significant impacts on the marine environment can be anticipated: (1) direct damage to biological organisms by resuspension of organics due to disturbance of marine habitat during dredging/reclamation and breakwater/pier construction; (2) creation of high turbidity by disposal of dredge spoil which disturbs and/or smothers marine flora and fauna and, more importantly, poses the greatest threat to the tourism industry in Pattaya located about 12 km from the project site; (3) modification of the tidal current direction and velocity in the Laem Chabang bay as a result of dredging in the entrance channel, fairway and basin; (4) deterioration of seawater quality due to discharge of tapioca powder losses, domestic wastewater from port area and sewage from ships (5) destruction of the aesthetic aspects of the port waters and surrounding areas as a consequence of solid waste generation from cargo handling from ships. A number of strategies/measures for coastal water quality management to prevent or minimize the adverse impacts have been recommended. The proposed environmental protection program is necessarily justified considering the economic benefits to be gained by the country from port operations.

Mathematical modeling – a tool for coastal water quality management

10.2166/wst.1999.0110 ◽

1999 ◽

Vol 40 (2) ◽

pp. 151-157 ◽

Cited By ~ 2

Author(s):

A. U. Mahajan ◽

C. V. Chalapatirao ◽

S. K. Gadkari

Keyword(s):

Water Quality ◽

Quality Management ◽

Coastal Water ◽

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.

A New Assessment Model for Coastal Water Quality Based on Nonlinear Mapping Theory

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.726-731.1073 ◽

2013 ◽

Vol 726-731 ◽

pp. 1073-1077

Author(s):

Ren Qiang Lu

Keyword(s):

Water Quality ◽

Coastal Water ◽

Mapping Method ◽

Assessment Model ◽

Quality Data ◽

Nonlinear Mapping ◽

Water Quality Data ◽

Coastal Water Quality ◽

Mapping Theory

A new assessment model for coastal water quality was proposed based on the nonlinear mapping theory. Taking the water quality monitoring data of Tianjins coastal marine as an example, firstly, the high-dimension water quality data were mapped to the two-dimension plane by nonlinear mapping method. Secondly, the water quality assessment model was established according to the position relationship of mapping points. Then, the water quality was assessed based on the model. Through application we could found the method proposed in this paper was simple and practicable. It is science and effectiveness of applying the nonlinear mapping method to assessment the water quality. It could be used to supply the decision support for the coastal water quality management.

Remote Sensing of Coastal Water Quality in the Baltic Sea Using MERIS

Advances in Earth Observation of Global Change ◽

10.1007/978-90-481-9085-0_5 ◽

2010 ◽

pp. 55-67

Author(s):

Andreas Neumann ◽

Harald Krawczyk ◽

Stefan Riha

Keyword(s):

Remote Sensing ◽

Water Quality ◽

Baltic Sea ◽

Coastal Water ◽

The Baltic Sea ◽

Coastal Water Quality ◽

The Baltic

Generating efficient executable models for complex virtual experimentation with the Tornado kernel

10.2166/wst.2007.581 ◽

2007 ◽

Vol 56 (6) ◽

pp. 65-73 ◽

Cited By ~ 1

Author(s):

Filip H.A. Claeys ◽

Peter Fritzson ◽

Peter A. Vanrolleghem

Keyword(s):

Water Quality ◽

Quality Management ◽

Scenario Analysis ◽

Simulation Optimization ◽

Model Generation ◽

Automated Generation ◽

Evaluation Procedures ◽

Virtual Experimentation ◽

Executable Models

Virtual experimentation is a collective term that includes various model evaluation procedures such as simulation, optimization and scenario analysis. Given the complexity of the models used in these procedures, and the number of evaluations that is required to complete them, highly efficient model implementations are desired. Although water quality management is a domain in which complex virtual experimentation is often adopted, only relatively little attention has thus far been devoted to the automated generation of efficient executable models. This article reports on a number of promising results regarding executable model generation that were obtained in the scope of the Tornado kernel, using techniques such as equiv substitution and equation lifting.