Identifying Prioritized Areas for Grassed Waterways Implementation
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Date
2021-10-14
Authors
Tian, Yunhong
Journal Title
Journal ISSN
Volume Title
Publisher
University of Waterloo
Abstract
Soil erosion remains a primary challenge in the 21st century threatening fresh water and cropland that
supports more than 95% of global food production. It is of significance to plan for and prevent soil
erosion in its initial stages rather than labor intensive repairing later. The Middle Thames River
watershed has suffered from severe erosion issues for more than ten years with 21% highly erodible
lands throughout the basin, where extensive soil conservation measures are highly encouraged. A
series of practical measures that landowners can apply to enhance soil health and water quality while
preserving or increasing agricultural production are termed farmland Best Management Practices
(BMPs). Among these measures, grassed waterways, as broad and shallow channels to move
concentrated surface runoff, are considered as one of the most effective measures to prevent
ephemeral soil erosion. Therefore, identifying the site-specific opportunities for grassed waterways
implementation in the Middle Thames River watershed can support targeted soil conservation and the
watershed planning.
This study aims to identify the potential locations for grassed waterways implementation in the
Middle Thames River Watershed using four different techniques with high-resolution data
(Compound Topographic Index model, Stream Power Index threshold model, weighted linear
overlay, fuzzy logic analysis). The Compound Topographic Index model and Stream Power Index
threshold model have been developed to predict the existing and potential grassed waterways at the
field level. Then the Compound Topographic Index and Stream Power Index threshold models, the
multi-criteria decision analysis (MCDA) has been conducted to map the priority areas for grassed
waterways implementation at the watershed scale. The output maps of the Compound Topographic
Index model and Stream Power Index threshold model display the location and length of predicted
grassed waterways in each field. To better visualize the results of the Compound Topographic Index
model and Stream Power Index threshold model, the density distribution maps of predicted grassed
waterways throughout the studied watershed have been created based on the outputs from Compound
Topographic Index and Stream Power Index threshold model. The performance of the Compound
Topographic Index and Stream Power Index threshold model have been assessed by visual
evaluation, occurrence evaluation and length evaluation. After developing Compound Topographic
Index and Stream Power Index threshold models, the multi-criteria decision analysis (MCDA) has
been conducted to map the priority areas for grassed waterways implementation at the watershed
scale. Twelve factors were selected as criteria of MCDA based on literature review, data availability
and geographic knowledge. Two methods including weighted linear combination and fuzzy logic
analysis were employed in MCDA, which produced two outputs maps of priority areas for grassed
waterways implementation. The results of these two maps have been validated using existing grassed
waterways.
The results of the Compound Topographic Index model and Stream Power Index threshold model
display the existing and predicted grassed waterways in each field. The Compound Topographic
Index model with the threshold of 600 has identified 30 existing grassed waterways, while the Stream
Power Index threshold model with the threshold of 0.01 standard deviation identified 23 grassed
waterways. Several discontinuities exist in predicted grassed waterways along the trajectories of
digitized grassed waterways. The lengths of predicted grassed waterways by Compound Topographic
Index model have a much better agreement with observation than that of Stream Power Index
threshold model. The density distribution map of Compound Topographic Index and Compound
Topographic Index model presented high-density areas of predicted grassed waterways which are
mainly situated in the northern and central part of the study area, especially the areas along the
upstream of Middle Thames River and Nissouri creek. The low-density areas for grassed waterways
implementation are mostly located in the southwestern part of the study area.
The results of weighted linear combination and fuzzy logic analysis displayed the high-priority areas
mainly located in the northwestern part of the watershed, especially along the upstream of Nissouri
creek. It is found that these upstream areas have relatively steeper slope gradient than other areas in
the studied watershed, with dominant soil type of sandy loam and silty loam. There are more areas
belonging to the lowest priority zone and lower areas falling into the most priority level in the fuzzy
logic analysis output map, compared with the map of weighted linear combination. The fuzzy logic
analysis required less prior knowledge of the relationship among criteria, which provide more
flexibility and convenience to decision makers. The validation of both weighted linear combination
and fuzzy logic analysis output maps displays relatively good performance, based on the criteria that
a greater percentage of grassed waterways implementation must occur in the higher priority zones
(Kanungo et al., 2009).
Description
Keywords
multicriteria decision analysis, topographic index model, Best Management Practices, Grassed Waterways, ephemeral gully erosion, The Ontario Hydro Network (OHN) data: https://geohub.lio.gov.on.ca/datasets/22bab3c9f37a4dd0845eb89e7b247a9f/explore
LC Keywords
Multiple criteria decision making, Vernal pools, Best management practices (Pollution prevention), Grassed waterways, Relief models