Environmental Decision Making and Risk Management for contaminated ground water and soil remediation

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
Risk

• 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
Source
Exposure Media
Receptors
Transport Mechanism
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
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
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

• Vikas.kumar_at_urv.net