Spatial correlation of groundwater and leachate quality data from a solid waste disposal site

Banu Sizirici, Berrin Tansel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The impact of leachate from a closed landfill on groundwater (GW) quality was characterized by analysis of GW monitoring data over time. The detection frequencies of contaminants in GW were compared with their respective maximum contaminant levels (MCLs). Chlorobenzene; 1,4 Dichlorobenzene; MTBE; xylene; sodium; ammonium as N; iron; vinyl chloride were detected in both leachate and GW. Most frequently detected parameters in GW were iron, ammonia as N, sodium and the least frequently detected parameters were xylene and cadmium. Iron, ammonia as N, sodium and turbidity levels in groundwater were always above the MCL and detected in all GW monitoring wells (MW). Moderately high contaminant levels detected in two wells located in opposite sides of the property were due to the groundwater flow which transported the contaminants. The correlations of GW with leachate quality were analyzed to identify future monitoring needs.

Original languageBritish English
Title of host publicationGeoFlorida 2010
Subtitle of host publicationAdvances in Analysis, Modeling and Design - Proceedings of the GeoFlorida 2010 Conference
Pages2840-2848
Number of pages9
Edition199
DOIs
StatePublished - 2010
EventGeoFlorida 2010: Advances in Analysis, Modeling and Design Conference - West Palm Beach, FL, United States
Duration: 20 Feb 201024 Feb 2010

Publication series

NameGeotechnical Special Publication
Number199
ISSN (Print)0895-0563

Conference

ConferenceGeoFlorida 2010: Advances in Analysis, Modeling and Design Conference
Country/TerritoryUnited States
CityWest Palm Beach, FL
Period20/02/1024/02/10

Keywords

  • Closed municipal solid waste landfill
  • groundwater monitoring data
  • leachate impact on groundwater
  • leachate quality data
  • seasonality

Fingerprint

Dive into the research topics of 'Spatial correlation of groundwater and leachate quality data from a solid waste disposal site'. Together they form a unique fingerprint.

Cite this