1. Environmental Decision Making and Risk Management for contaminated ground water and soil remediation using integrated approach of Neuro-fuzzy
Vikas Kumar
Supervisor: Dra. Marta Schuhmacher
Environmental Management and Analysis Group
ETSEQ, Rovira i Virgili University

2. Outline
Introduction
Technology overview
Objectives
Work Plan
Summary

3. Introduction Problems of Environmental Risk : Measurable,
The probability of an adverse event and the magnitude of the consequences…
Problems of Environmental Risk :
Measurable,
Subjective, and
Based on multi-criteria

4. Introduction Exposure pathways Exposure Media Source
Transport Mechanism
Exposure Media
Receptors
Soil dermal contact and ingestion
Affected surface soil
Wind erosion
Atmospheric dispersion
On-site receptor
Inhalation of vapors and/or particulates
Affected subsurface soils
Volatilization
Accumulation in enclosed space
Groundwater ingestion
Off-site receptor
Leaching
Affected Groundwater
Groundwater transport
Surface water, swimming, fish consumption, etc

5. Introduction Ground water and soil Contamination Causes:
Agricultural waste
Industrial waste
Effluents from landfills
Petroleum products
Radioactive waste

6. Introduction Why this research? Till now: Tools used:
Statistical methods
Probabilistic methods
Fuzzy methods
Focused on single pollutant on single ecological process
Not dealing with uncertainty
Not dealing with multi-criteria and multiple stakeholders.

7. Technology overview Fuzzy Logic ? The statement, today is sunny.
100% true if there are no clouds,
80% true if there are a few clouds,
50% true if it's hazy and
0% true if it rains all day.
“Fuzzy logic is a structured, model free estimator that approximates a function through linguistic input/output associations.”

8. Artificial Neural Network + Fuzzy logic
Technology overview
Neuro-fuzzy
Artificial Neural Network + Fuzzy logic

9. Objective
Create a methodological model which, taking into account subsoil and contaminants characteristics as well as human and environmental health risks features, help to make decisions in the prioritization about polluted soils remediation.

10. Identification of process and variables
Work Plan
Identification of process and variables
Uncertainty analysis
Knowledge base
Fuzzy model
Neural-fuzzy model
Network training

11. Summary The Basic Risk Management Process Build the process
Allocate Responsibilities
Determine “What is to be Risk-Managed”
A Decision-Making Process
Iterative with Analysis to select mitigation
Planning
Identification
Analysis
Handling
Communi-
cation & Tracking
Comparative Analysis
Assign Attributes
Assign Ownership
Keep everyone aware of decisions made
Track progress
Evaluate effectiveness
Evaluate the Impact
“A” Risk
“All” Risks
Prepare Decision-packages

12. Acknowledgement Dra. Marta Schuhmacher URV for scholarship
Ministerio de Educacion Y Ciencia, Spain for research grant
Professors and colleges of ETSEQ

13. Questions ?
Thank you