Sommaire de la publication

Sommaire de la publication

Mardkheh, A., M. Mostafavi, Y. BĂ©dard, B. Long, 2012, Toward a Spatial Decision Support System to Improve Coastal Erosion Risk Assessment: Modeling and Representation of Risk Zones , FIG Working Week 2012, May 6-10, Rome, Italy

Abstract

Coastal Erosion is a complex spatial dynamic phenomenon that threatens the coastal regions around the word and has a significant impact on social, economical and environmental aspects of people livings in these regions. Hence, coastal erosion risk assessment techniques require
integrating several sources of data to provide a coherent and complete vision of potential risk
regarding the phenomenon under study. This includes assessing possible damage on
environmental, economical and social features as we ll as human-life losses. This fundamental information can then be analyzed at a higher hierarchical level to choose appropriate actions
and strategies to protect the region, its environment, the people and their assets in an optimal
way. Coastal regions are generally used by diverse habitats under authority of various
organizations and stakeholders in local, provincial, and governmental levels. The main
challenge arises when each organization prefers to take its own criteria and its own sources of
data to assess the risk. The data and the criteria are often in conflict and it becomes difficult to
provide a coherent vision of the overall risk as well as to support an efficient decision-making
process. In addition, the way to represent risk zones is a challenging issue due to the complex
hierarchical nature of risk as well as the existence of uncertainty. This complicates the
adequate communication of risk values and their consequences to stakeholders and
authorities. Therefore, an integrated information system is needed to manage the combination
of several criteria, time periods and scales of information as well as the existence of
uncertainty at different levels. Geographical Information System (GIS) are conventionally
used for such purpose since they allow integrating the spatial and non-spatial data. However,
on-the- fly multidimensional analysis of risk is only marginally supported by todayÂ’s GIS and
efficiency can only be achieved by integrating Business Intelligence (BI) concepts for spatial
data exploration. In this paper we propose developing a Spatial Decision Support System
(SDSS) that combines both GIS and BI capabilities to improve coastal erosion risk
assessment. In particular, we propose to use Spatial On-Line Analytical Processing (SOLAP)
Paradigm and Fuzzy Set Theory to improve the representation and analysis of coastal risk
coastal infrastructures such as roads, buildings, plants, and people that are vulnerable to
erosion.