A spatial decision support system for municipal solid waste landfill sites (case study: The Mazandaran Province, Iran)

2021 ◽  
pp. 0734242X2110606
Author(s):  
Yasaman Amirsoleymani ◽  
Ozeair Abessi ◽  
Yasser Ebrahimian Ghajari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Support System ◽  
Decision Makers ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Mazandaran Province ◽  
Msw Management

Landfilling is an inevitable step for the municipal solid waste (MSW) management system in developing countries. This article presents a Spatial Decision Support System (SDSS) that was developed for the monitoring of municipal landfills and siting the new places for waste disposal at Mazandaran province, south of Caspian Sea, Iran. The effective criteria and evaluation constraints were chosen according to the Iran waste management law. The ArcGIS 10.4.1 software was used for creating a geospatial database and the analytic hierarchy process (AHP) was used for ranking the criteria. By integrating the criteria, a suitability map was generated into four categories: high suitability, moderate suitability, low suitability and illegal areas. Using ArcGIS online, the maps were shared on a website that was specifically designed for this purpose. The decision-makers can check online the laws, the effective criteria and the results of spatial analysis for optimal siting. Also, the results of environmental evaluations for active landfills have been provided. Given the characteristics of active landfills and the optimal sites for the possible development, the SDSS can provide a mutually beneficial relationship between the experts, decision-makers and stakeholders to decide about the priority of actions required for the relocation of landfills, site closure or emergency care.

Towards Spatial Decision Support System for Animals Traceability

2011 ◽  
pp. 389-411
Author(s):  
Marcos Visoli ◽  
Sandro Bimonte ◽  
Sônia Ternes ◽  
François Pinet ◽  
Jean-Pierre Chanet
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Spatial Decision Support System ◽  
Private Institutions ◽  
Accurate Data ◽  
Spatial Decision Support ◽  
New Generation

Animal traceability is a very important question for several government and private institutions from many points of view: economical, sanitary, etc. Traditional systems are able to memorize the main bovine movements, or to capture the geolocation of an animal using RFID. Now it should be possible to envisage a new generation of traceability systems in which the different locations are automatically recorded several times per day for each animal. These systems should also be coupled with analysis techniques to help decision-makers to take decisions, validate and/or reformulate their hypothesis. In this chapter the authors present a spatial decision support system dedicated to the animal geolocation acquisitions and analysis of possible sanitary problems. Indeed, in case of sanitary alerts, the system is able to determine the animals which have been in contact with a diseased animal exploiting historical trajectories of animals. It is applied to traceability of beef cattle using the Brazilian production system as a case study. OTAG focuses on improving methods and geotechnologies for recording reliable and accurate data on beef production.

scholarly journals Planning and Managing the Integrated Water System: A Spatial Decision Support System to Analyze the Infrastructure Performances

2020 ◽  
Vol 12 (16) ◽  
pp. 6432
Author(s):  
Michele Grimaldi ◽  
Monica Sebillo ◽  
Giuliana Vitiello ◽  
Vincenzo Pellecchia
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water System ◽  
Decision Makers ◽  
Spatial Decision Support System ◽  
Human Beings ◽  
Spatial Decision Support ◽  
System A ◽  
The Individual

The demand for water is constantly increasing, while there are factors related to climate change and pollution that make it less and less available. Addressing this problem means being able to face it with a global approach, which takes into account that human beings need water to survive, as well as all the systems on which they rely, namely sanitation, health, education, business, and industry. While human behavior is influenced by the growing awareness on this topic promoted by organizations specifically targeting this mission, the need to protect water resources in operational terms has led mainly to the need for smart urban infrastructure planning, consistent with the objective of promoting sustainable development. To this aim, the authorities in charge of monitoring the implementation of the investment plans by operators need to perform accurate evaluations of the technical quality of the services provided. The present paper introduces a framework to design a Multi-criteria Spatial Decision Support System, conceived to help decision-makers define and analyze the investment priorities of the individual service operators. By building a knowledge model of the network under investigation, decision-makers are aware of physical components of the whole system and are provided with an intervention priority index related to the network objects that could be affected by the planning action to be implemented.

Towards Spatial Decision Support System for Animals Traceability

Data Mining ◽  
2013 ◽  
pp. 2094-2116
Author(s):  
Marcos Visoli ◽  
Sandro Bimonte ◽  
Sônia Ternes ◽  
François Pinet ◽  
Jean-Pierre Chanet
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Spatial Decision Support System ◽  
Private Institutions ◽  
Accurate Data ◽  
Spatial Decision Support ◽  
New Generation

Animal traceability is a very important question for several government and private institutions from many points of view: economical, sanitary, etc. Traditional systems are able to memorize the main bovine movements, or to capture the geolocation of an animal using RFID. Now it should be possible to envisage a new generation of traceability systems in which the different locations are automatically recorded several times per day for each animal. These systems should also be coupled with analysis techniques to help decision-makers to take decisions, validate and/or reformulate their hypothesis. In this chapter the authors present a spatial decision support system dedicated to the animal geolocation acquisitions and analysis of possible sanitary problems. Indeed, in case of sanitary alerts, the system is able to determine the animals which have been in contact with a diseased animal exploiting historical trajectories of animals. It is applied to traceability of beef cattle using the Brazilian production system as a case study. OTAG focuses on improving methods and geotechnologies for recording reliable and accurate data on beef production.

Interactive Spatial Decision-Support System for Multiobjective Hazardous Materials Location-Routing Problems

1997 ◽  
Vol 1602 (1) ◽  
pp. 101-109 ◽  
Author(s):  
João Coutinho-Rodrigues ◽  
John Current ◽  
João Climaco ◽  
Samuel Ratick
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Hazardous Materials ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Location Routing Problem ◽  
Routing Problem ◽  
Location Routing ◽  
Selection Of

Hazardous materials (hazmat) logistics management has received increased attention in the past two decades. Important decisions in such management include the selection of sites for hazmat processing and storage, the selection of transportation routes from sources to processing facilities, and the determination of quantities of hazmat shipped over these routes. These decisions are frequently based on multiple criteria (e.g., cost, risk, equity). A personal computer–based, interactive spatial decision-support system was designed to assist decision makers with such problems. Although presented within the framework of a hazmat problem, the system’s components can be modified to analyse any multiobjective location, routing, or location-routing problem.

Environmental risk management with the use of multi-criteria spatial decision support system DECERNS

2012 ◽  
Vol 16 (4) ◽  
pp. 175 ◽  
Author(s):  
Boris Yatsalo ◽  
Terry Sullivan ◽  
Vladimir Didenko ◽  
Sergey Gritsuk ◽  
Alexander Tkachuk ◽  
...  
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Environmental Risk ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Environmental Risk Management
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