This site requires Cookies enabled in your browser for login.
Updating ...
WaterNet Home
WaterNet
for
pour le
Canada
Menu
WaterNet
Home
GWFO
Home
Catalogue
Master Index
Data
Centre
X
Find Data By Variable Find Data By Site, Facility, or Deployable Show Near-realtime Telemetry (7 day)
Collections
X
Defaults
Select All
Websites
X
Global Water Futures Observatories (GWFO) Global Water Futures (GWF) Global Institute for Water Security (GIWS) International Network of Alpine Research Catchment Hydrology
Legacy Research Programs
X
Changing Cold Regions Network (CCRN) Drought Research Initiative (DRI) International Network of Alpine Research Catchment Hydrology (Legacy Site) Improving Processes & Parameterization for Prediction in Cold Regions Hydrology (IP3) The Mackenzie Global Energy and Water Cycle Experiment (GEWEX) Study (MAGS)
Legacy sites
Map
Utilities
X
Account Settings Create a New Record Record List Alias List Editor
Edit Data Centre
Data Types
. . .
X
Clear
Select All
Advanced Search
Go to Top⇡
Related items loading ...
Fetching Chart ...
Publication Additional Information Download
Publication Type
Grey Literature
Authorship
Lehman, Jonah
Title
Landscape Study Using Geological and Land Use Characteristics to Predict Well Water Contamination in The Six Nations of The Grand River
Year
2020
Publication Outlet
Master University, Biology Department, ID: 400053918
Abstract
The Six Nations of The Grand River is the largest First Nations reserve in Canada with over 27,000 members, and approximately 12,000 living on the reserve (Indigenous and Northern Affairs Canada, 2020). The Six Nations is located near Brantford, Ontario and many residents face accessibility issues for safe drinking water, with little effort put in by our government to assist them. In this study, we aimed to investigate potential landscape and geological factors that could be related to water contamination of Escherichia coli for sampled groundwater wells in 2003, 2004, and 2018, as well as investigate areas of significant clustering through spatial analysis in the Six Nations reserve. We used generalized linear mixed modelling to investigate whether or not potential landscape and geologic predictor variables such as slope, depth, static water level, land coverage, stream proximity and order, and sub-watershed had any significant relationships with the presence or absence of E.coli contamination. Although no results show that relationships are occurring with these predictor variables and contamination, spatial autocorrelation analysis and hotspot analysis show that there is a highly significant amount of clustering occurring with wells that are contaminated, particularly at 6th Line and Tuscarora Road. Too few samples exist on record to accurately analyze the effect of landscape and geologic predictor variables on well water contamination. Overall, spatial results indicate potential areas of concern for the community and highlight the need for further research to be conducted within the Six Nations in order to identify threats to drinking water accessibility.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-SFWF: Southern Forests Water Futures
Publication Stage
Published
Additional Information
2018 Dataset
132 samples of E.coli contamination, address, type of well, location, owner, and other physical-chemical data.
48 of these samples looked for mercury contamination.
Global Water Futures - Ecosystem Health Sub-team - 2018; unpublished data Makhdoom et al., 2018
Download Links
https://gwfnet.net/fileserver/T-2023-05-28-f16rGxFeFukf2JjCiwvbf2sMw/Lehman_2020_3IR3_Final_Report.pdf
© 2026 - WaterNet Version 2026-08-21
Global Water Futures Observatories
Powered by
G W F Net
T-2023-05-28-f16rGxFeFukf2JjCiwvbf2sMw Publication 1.0