An intelligent solution support system for spatial modelling and decision support

‘Modelling inside GIS’ has been widely researched over the years. This paper argues that such approach lacks appropriate model reusing and management functions because it is often domain-dependent. In this paper, we propose a ‘modelling outside GIS’ approach to design a model management module that can be incorporated with GIS and other systems to perform flexible model retrieval and development. As a first step, an intelligent solution support system (subsystem) that can assist users to select and construct appropriate models for their particular application domains is developed. Some essential mechanisms and procedures involved in the developing this system are proposed and demonstrated.published_or_final_versio

GIS as an effective tool in waste management-a case study of Allahabad city India.

Environmental management is a broad area which comes into the domain of multidisciplinary fields including Architecture and Planning. It requires vast amounts of data collection, data retrieval and its analysis. GIS can fulfill this purpose with its multi-analytical and spatial capabilities. It can be used for analysis and study of various aspects of waste management including site selection for municipal solid waste landfills.  GIS facilitates the storage of vast amounts of data in the form of raster data and  vector data which can serve an important and efficient method for depicting various aspects of waste management.The current study shows the application of GIS  spatial analytical tools in finding landfill sites for Allahabad City for Municipal Solid Waste

Decisin support system for risk assessment and management of floods

The objective of the RAMFLOOD project is to develop and validate a new decision support system (DSS) for the risk assessment and management of emergency scenarios due to severe floods. The DSS combines environmental and geo-physical data from earth observation, with advanced computer simulation and graphical visualisation methods and artificial intelligence techniques, for generating knowledge contributing to the risk prevention of floods and the design of effective response actions maximising the safety of infrastructures and human life

Expert decision support system for two stage operations planning.

by Tam Chi-Fai.Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.Includes bibliographical references (leaves 87-88).abstract --- p.Itable of content --- p.IIlist of figures --- p.Vacknowledgments --- p.VIIChapter chapter 1 --- introduction --- p.1Chapter 1.1 --- Two Stage Operations Planning --- p.1Chapter 1.2 --- Iterative Activities in the Two Stage Planning Approach --- p.3Chapter 1.3 --- Expert Decision Support System for Two Stage Planning --- p.4Chapter 1.4 --- Scope of the Study --- p.5Chapter 1.5 --- Organization of the Thesis --- p.6Chapter chapter 2 --- literature review --- p.7Chapter 2.1 --- Network Design for Air Express Service --- p.7Chapter 2.2 --- Integrative Use of Optimization and Simulation Model --- p.8Chapter 2.3 --- Expert System & Decision Support System --- p.11Chapter 2.3.1 --- Expert System --- p.11Chapter 2.3.2 --- Decision Support System --- p.13Chapter 2.3.3 --- ES / DSS Integration --- p.14Chapter chapter 3 --- research methodology --- p.19Chapter 3.1 --- Review on DSS / ES Integration --- p.19Chapter 3.2 --- System Design --- p.20Chapter 3.3 --- Prototyping --- p.22Chapter 3.4 --- Analysis and Evaluation --- p.23Chapter chapter 4 --- system architecture and knowledge modeling --- p.24Chapter 4.1 --- Architecture Overview --- p.24Chapter 4.1.1 --- System Architecture and Interactions --- p.26Chapter 4.1.2 --- Decision Support System --- p.27Chapter 4.1.3 --- Expert System --- p.32Chapter 4.2 --- System Operations --- p.35Chapter 4.2.1 --- Operations Flow --- p.35Chapter chapter 5 --- case study and prototyping --- p.38Chapter 5.1 --- Case Background --- p.38Chapter 5.1.1 --- The Service Network --- p.38Chapter 5.1.2 --- Objectives of the Project --- p.40Chapter 5.1.3 --- Network Design Methodology --- p.41Chapter 5.2 --- Iterative Network Planning --- p.49Chapter 5.2.1 --- Multi-period Network Planning Feedback --- p.50Chapter 5.2.2 --- Feedback in Validation and Evaluation --- p.51Chapter 5.3 --- The System Prototype --- p.57Chapter 5.3.1 --- Data Management and Model Manipulation --- p.57Chapter 5.3.2 --- Intelligent Guidance for the Iterations --- p.65Chapter chapter 6 --- evaluation and analysis --- p.75Chapter 6.1 --- Test Scenario for Network Planning --- p.75Chapter 6.1.1 --- Consultation Process --- p.75Chapter 6.1.2 --- Consultation Results --- p.78Chapter 6.2 --- Effectiveness of EDSS in Network Planning --- p.81Chapter 6.3 --- Generalized Advancement and Limitation --- p.82Chapter chapter 7 --- conclusion --- p.85bibliography --- p.87appendices --- p.8

Probabilistic design and upgrade of wastewater treatment plants in the EU Water Framework directive context

The EU Water Framework Directive requires compliance with effluent and receiving water quality standards. This increased complexity implies that the evaluation of the impact of measures should be evaluated with adequate tools, both from the methodological point of view – by applying systems analysis investigations and modelling uncertainty assessment tools – and by making the developed methodology applicable in practice. Urban wastewater systems (UWWSs) are crucial components of river basins, since they usually contribute significantly to the pollution loads. They also have more flexibility in operation and management than other subsystems as agriculture. One part of this dissertation tries to answer the question “where” to improve the UWWS in a basin by means of systems analysis. A case study is tackled with the help of substance flow analysis (SFA) and of performance indicators. SFA allowed to identify the pressures on the receiving water. The indicators highlighted the critical structures in the basin. The spatial scale of the study was found to be of paramount importance. The other part of this dissertation deals with the question “how” to improve the UWWS, by proposing a systematic methodology to design correction measures, illustrated by the example of WWTP design and upgrade. The first step is the generation of influent time series to be fed to the WWTP models by means of a new phenomenological model of the draining catchment and sewer system. Ten different treatment process configurations were selected for the comparison. Further, eleven upgrade options were selected for evaluation, partly requiring real-time control (RTC) and partly the construction of additional treatment volume. For the immission-based evaluation, the integration of the WWTP model with a river model was made by means of the continuity-based interfacing method (CBIM). The propagation of the uncertainty on model parameters was performed with Monte Carlo simulations. Given the assumed boundary conditions, alternating systems show the best treatment cost-efficiency. RTC upgrades showed good potential for low-cost compliance, but with higher risk of limits exceedance. The immission-based evaluation revealed that considering the system from a holistic point of view can lead to substantial savings

A maritime decision support system to assess risk in the presence of environmental uncertainties: the REP10 experiment

The aim of this work is to report on an activity carried out during the 2010 Recognized Environmental Picture experiment, held in the Ligurian Sea during summer 2010. The activity was the first at-sea test of the recently developed decision support system (DSS) for operation planning, which had previously been tested in an artificial experiment. The DSS assesses the impact of both environmental conditions (meteorological and oceanographic) and non-environmental conditions (such as traffic density maps) on people and assets involved in the operation and helps in deciding a course of action that allows safer operation. More precisely, the environmental variables (such as wind speed, current speed and significant wave height) taken as input by the DSS are the ones forecasted by a super-ensemble model, which fuses the forecasts provided by multiple forecasting centres. The uncertainties associated with the DSS's inputs (generally due to disagreement between forecasts) are propagated through the DSS's output by using the unscented transform. In this way, the system is not only able to provide a traffic light map (run/not run the operation), but also to specify the confidence level associated with each action. This feature was tested on a particular type of operation with underwater gliders: the glider surfacing for data transmission. It is also shown how the availability of a glider path prediction tool provides surfacing options along the predicted path. The applicability to different operations is demonstrated by applying the same system to support diver operations