Spatial analysis for identifying hotspots of EDC and PPCP sources for monitoring systems

This study utilized spatial analysis to identify hotspots for endocrine disrupting chemicals (EDCs), pharmaceuticals, and personal care products (PPCPs) using data from potential sources including wastewater treatment plants, National Pollutant Discharge Elimination System (NPDES)-permitted pollutio...

Full description

Saved in:
Bibliographic Details
Published in:Water science and technology 2013-01, Vol.67 (8), p.1657-1663
Main Authors: PARK, M. J, PARK, M.-H
Format: Article
Language:English
Subjects:
Applied sciences
Arizona
Chemical wastewater
Consumer products
Cosmetics - analysis
Effluent treatment
Endocrine disruptors
Endocrine Disruptors - analysis
Environmental Monitoring
Exact sciences and technology
Geographic Information Systems
Hot spots
Lakes
Locations (working)
Monitoring systems
Nevada
Nonpoint source pollution
Outlets
Pollution
Pollution sources
Sampling
Septic systems
Spatial analysis
Statistical analysis
Statistical methods
Stormwater
Wastewater
Wastewater treatment
Wastewater treatment plants
Water Pollutants, Chemical - analysis
Water pollution
Water Pollution, Chemical - analysis
Water reuse
Water Supply
Water treatment and pollution
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study utilized spatial analysis to identify hotspots for endocrine disrupting chemicals (EDCs), pharmaceuticals, and personal care products (PPCPs) using data from potential sources including wastewater treatment plants, National Pollutant Discharge Elimination System (NPDES)-permitted pollution sources, septic systems, and agricultural and grazing areas. The study area is Lake Mead, to which the return of treated effluent is one of the largest water reuse practices in the USA. Based on Getis-Ord's Gi* statistic, clusters of pollution sources were identified based on the values of each feature and its neighboring features. Spatial analysis was applied to evaluate the impact from point and nonpoint source pollution. The results of spatial statistical analyses were used to evaluate the existing sampling locations in Las Vegas Wash. The results indicated that sampling locations with highest concentrations of EDCs/PPCPs were close to the outlets of subbasins with high susceptibility to EDCs/PPCPs, which confirms the suitability of sampling locations.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2013.612