2025/12/5
Sina Sadeghfam

Sina Sadeghfam

Academic rank: Associate Professor
ORCID:
Education: PhD.
H-Index:
Faculty: Faculty of Engineering
ScholarId:
E-mail: s.sadeghfam [at] gmail.com
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Phone:
ResearchGate:

Research

Title
Introducing a risk aggregation rationale for mapping risks to aquifers from point- and diffuse-sources–proof-of-concept using contamination data from industrial lagoons
Type
JournalPaper
Keywords
Frameworks: DRASTIC, GWPI, Risk indexing, SPRC, Tiered risk (binary, graded and local)
Year
2018
Journal ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
DOI
Researchers Sina Sadeghfam ، ، Rahman Khatibi ، Marjan Moazamnia ، Ata allah Nadiri

Abstract

Proof-of-concept for a methodology is presented on mapping risks to aquifers impacted from point- and diffusesources, where mapping or indexing refers to relative but not absolute values. The methodology is generic but tested by investigating impacts of a risk exposure from industrial wastewater lagoons. The methodology is innovative for using the qualitative Source-Pathways-Receptors-Consequences (SPRC) framework to aggregate risks from both point-sources and diffuse-sources through breaking down a study area into SPRC risk cells. In this paper, two risk cells are required as: (i) Cell 1 is directly impacted from a point-source; and (ii) Cell 2 is impacted by diffuse-sources to slowly contaminate the aquifer by infiltration over a large area. Indexing both types of risk cells generically comprise three tiered processes: (i) binary indexing establishes if a grid cell is at a potential risk or not; (ii) graded indexing measures the strength of the risk pathways from source to receptors; and (iii) local indexing measures intrinsic potentials at the grid cell to propagate the risk. These three processes apply to both point- and diffuse-sources but with different mathematical formulations. The proof-of-concept for the methodology of risk aggregation using the SPRC framework is supported by results of a study area, in which a set of performance metrics are used by comparing with the measurements. The results are found to be fit-for-purpose for serving as proactive management tools and to provide a deeper insight into potential impacts of adverse effects.