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
Journal Article
Authorship
Thapa, A., Bradford, L., Strickert, G., Yu, X., Johnston, A., & Watson-Daniels, K.
Title
Garbage in, Garbage Out Does Not Hold True for Indigenous Community Flood Extent Modeling in the Prairie Pothole Region
Year
2019
Publication Outlet
Water, 11(12), 2486
DOI
https://doi.org/10.3390/w11122486
Citation
Thapa, A., Bradford, L., Strickert, G., Yu, X., Johnston, A., & Watson-Daniels, K. (2019). Garbage in, Garbage Out Does Not Hold True for Indigenous Community Flood Extent Modeling in the Prairie Pothole Region. Water, 11(12), 2486.
Abstract
Extensive land use changes and uncertainties arising from climate change in recent years have contributed to increased flood magnitudes in the Canadian Prairies and threatened the vulnerabilities of many small and indigenous communities. There is, thus, a need to create modernized flood risk management tools to support small and rural communities’ preparations for future extreme events. In this study, we developed spatial flood information for an indigenous community in Central Saskatchewan using LiDAR based DEM and a spatial modeling tool, the wetland DEM ponding model (WDPM). A crucial element of flood mapping in this study was community engagement in data collection, scenario description for WDPM, and flood map validation. Community feedback was also used to evaluate the utility of the modelled flood outputs. The results showed the accuracy of WDPM outputs could be improved not only with the quality of DEM but also with additional community-held information on contributing areas (watershed information). Based on community feedback, this accessible, spatially-focused modeling approach can provide relevant information for community spatial planning and developing risk management strategies. Our study found community engagement to be valuable in flood modeling and mapping by: providing necessary data, validating input data through lived experiences, and providing alternate scenarios to be used in future work. This research demonstrates the suitability and utility of LiDAR and WDPM complemented by community participation for improving flood mapping in the Prairie Pothole Region (PPR). The approach used in the study also serves as an important guide for applying transdisciplinary tools and methods for establishing good practice in research and helping build resilient communities in the Prairies.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-CMFWF: Collaborative Modelling Framework for Water Futures
Publication Stage
Published
Additional Information
Collaborative Modelling Framework for Water Futures and Holistic Human Health Effects , Refereed Publications
Download Links
https://doi.org/10.3390/w11122486
© 2026 - WaterNet Version 2026-07-24
Global Water Futures Observatories
Powered by
G W F Net
T-2022-12-03-g3g1zs0idJFUg2yZwadFJWiRA Publication 1.0