Geography and Planning

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Analysis of Turbulence and Turbulence Kinetic Energy Dynamics in Complex Terrain
(AGU Publications, 2025-02-28) Rohanizadegan, Mina; Petrone, Richard M.; Pomeroy, John W.; Kosovic, Branko
Boundary layer processes and turbulence in a complex terrain are influenced by thermally driven flows, as well as dynamically forced flows when ambient wind interacts with orography. This paper investigates the variability in turbulence kinetic energy (TKE) with elevation and topography in a shallow high mountain valley in the Canadian Rockies. The Fortress Mountain Research Basin in the Kananaskis Valley, Alberta, was chosen for this study. Data from three high-frequency eddy-covariance systems at a northwest-facing slope, and at two ridgetops at the south and north valley sidewalls were used for the analysis, and combined with large-eddy simulations at 90 m horizontal grid spacing. The observed data and simulations focused on a sunny summer day when turbulence was well-developed, and cross-ridge flows interacted with thermally driven circulations. The observed TKE time series compared reasonably well with simulations at the northwest-facing slope and southern ridgetop. The model was then used to evaluate the vertical and horizontal TKE-budget equation. Analysis of the TKE budget showed that horizontal shear production and advection of TKE driven by horizontal wind-gradients in cross-ridge flows, and the interaction of these flows with the up-valley flow could be an important source of TKE production on the northwest-facing slope station in the Fortress Valley. The variability observed in TKE budget components across different locations within this high mountain basin indicates the significance of both horizontal and vertical exchange processes in the mechanisms governing TKE production.
The Ecology and Evolution of Beavers: Ecosystem Engineers That Ameliorate Climate Change
(Annual Review of Ecology, Evolution, and Systematics, 2024) Fairfax, Emily; Westbrook, Cherie
Beavers, Castor canadensis in North America and Castor fiber in Eurasia, are widely referred to as nature's engineers due to their ability to rapidly transform diverse landscapes into dynamic wetland ecosystems. Few other organisms exhibit the same level of control over local geomorphic, hydrologic, and ecological conditions. Though freshwater ecosystems are particularly vulnerable to changing climate, beavers and their wetland homes have persisted throughout the Northern Hemisphere during numerous prior periods of climatic change. Some research suggests that the need to create stable, climate-buffered habitats at high latitudes during the Miocene directly led to the evolution of dam construction. As we follow an unprecedented trajectory of anthropogenic warming, we have the unique opportunity to describe how beaver ecosystem engineering ameliorates climate change today. Here, we review how beavers create and maintain local hydroclimatic stability and influence larger-scale biophysical ecosystem processes in the context of past, present, and future climate change.
Modeling the lagged and nonlinear effects of weather conditions on abundance of Culex tarsalis mosquitoes in Saskatchewan, Western Canada using a bi-dimensional distributed lag nonlinear model
(Elsevier, 2024-12-24) Gizaw, Zemichael; Vidrio-Sahagún, Cuauhtémoc Tonatiuh; Pietroniro, Alain; Schuster Wallace, Corinne
The establishment of West Nile Virus (WNV) competent vectors continues to pose a major public health challenge in Canada, especially in the south. While studies have examined the association between weather conditions and the abundance of mosquitoes over trap weeks, there is limited research on the effects of weather conditions on the abundance of Culex tarsalis (Cx. tarsalis) mosquitoes for a lapse of time beyond the trap week in Saskatchewan, Western Canada. To address this gap, we analyzed provincially available weekly mosquito trap and co-incident meteorological station data in Saskatchewan from 2010 to 2021 using a bi-dimensional distributed lag and nonlinear model. Data indicate that 171,141 Cx. tarsalis mosquitoes were trapped across much of Saskatchewan, from 2010 to 2021. Cx. tarsalis were found to be most abundant between weeks 26 and 35 (July and August) and peaked in weeks 30 and 31. Based on the WNV-positive pools, mosquito infection rates increased from week 23 to 36. While weekly average maximum air temperatures between 20 °Cand 30 °C were associated with more Cx. tarsalis across all lags (0 – 8 weeks), higher weekly average minimum air temperatures had a strong and immediate effect that diminished over longer lags. Higher weekly average rainfall amounts (> 20 mm) were associated with fewer Cx. tarsalis mosquitoes across all lags, while average weekly rainfall between 8 and 20 mm was strongly associated with a high abundance of Cx. tarsalis mosquitoes over longer lags (5 -7 weeks). Additionally, increasing wind speed was associated with lower abundance of Cx. tarsalis across all lags. Findings identified nonlinear lag associations for weekly average maximum air temperature and rainfall, but linear associations for weekly average minimum air temperature and wind speed. Identified lags and thresholds for temperature, rainfall, and wind speed at which mosquito abundance peaked could help to inform public health authorities in timing of vector control measures to prevent WNV transmission.
Converting land use–land cover to E. coli contamination potential classes for improved management of groundwater wells: a case study in Ontario, Canada
(Springer, 2024-12-19) White, Katie; Schuster Wallace, Corinne; Dickson-Anderson, Sarah
Land use-land cover (LULC) types have been used as a proxy for Escherichia Coli (E. coli) sources and transport mechanisms. This study aims to advance the understanding of the relationship between LULC and E. coli presence in wells for the 11 major LULC categories. This represents a novel approach for assessing the broad potential for well contamination and informing groundwater management strategies. The approach combines insights gained from regression analyses conducted using a combination of large datasets with the Intergovernmental Panel on Climate Change (IPCC) method for consistent treatment of uncertainties within literature. Generalized Additive Models for Location, Shape, and Scale (GAMLSS) regression analyses were used to identify and support relationships between a large dataset of E. coli presence in wells and LULC data, identifying potential risk classes. A raster dataset for Ontario, Canada identifying areas of low to very high potential for E. coli presence in wells was created. Notably, the pastoral/agricultural LULC category was found to be in the very high-risk class, urban and aggregate mines in the high-risk class, forest in the moderate risk class, and water and grasslands in the low-risk class. However, gaps in understanding the relationship between some LULC categories and the presence of E. coli in wells remain in the disturbance, bedrock, and scrubland LULCs due to data limitations in both the study area and literature. These results provide private well users, who may lack technical expertise, with an accessible source of information on the potential for E. coli contamination.
The effects of institutional layering on electricity sector reform: Lessons from Norway's electricity sector
(Energy Research & Social Science, 2024-11) Ekanem, Minika; Noble, Bram; Poelzer, Greg
Institutional layering is a dominant mode of change in shaping energy transitions, whereby new institutional rules or practices are added on top of or alongside existing ones. Characterized by the introduction of new actors, policies, and expanding energy arenas, energy transition processes can become progressively layered, resulting in institutional complexity and potentially undermining energy transition goals. This paper explores the impact of layering on actors and on the outcomes of energy transitions. A conceptual framework that integrates institutional change with a layering typology is developed and applied to Norway's electricity sector reform as a case study. Results show that Norway's energy landscape has become more diversified, leading to complex institutional arrangements, differential growth in the energy sector, and gaps between reform intentions versus outcomes. Whether layering produces the intended energy transition outcomes depends on the complexity of layering, the interaction, coordination, and alignment of the layered elements, and the vested interest of stakeholders. Insights from Norway's experience can guide institutional design to support the rapid expansion of renewable energy investments, or the reform or restructurings of existing energy institutions.
Assessing the role of geographic context in transportation mode detection from GPS data
(Journal of Transport Geography, 2022-04) Avipsa, Roy; Fuller, Daniel; Trisalyn, Nelson; Kedron, Peter
The increasing availability of health monitoring devices and smartphones has created an opportunity for researchers to access high-resolution (spatial and temporal) mobility data for understanding travel behavior in cities. Although information from GPS data has been used in several studies to detect transportation modes, there is a research gap in understanding the role of geographic context in transportation mode detection. Integrating the geography in which mobility occurs, provides context clues that may allow models predicting transportation modes to be more generalizable. Our goals are first, to develop a data-driven modeling framework for transportation mode detection using GPS mobility data along with geographic context, and second, to assess how model accuracy and generalizability varies upon adding geographic context. To this extent we extracted features from raw GPS mobility data (speed, altitude, turning angle and net displacement) and integrated context in the form of geographic features to classify active (i.e. walk/bike), public (i.e. bus/train), and private (i.e. car) transportation modes in three different Canadian cities - Montreal, St. Johns, and Vancouver. To assess the role of integrating geographic context in mode detection, we adopted two different modeling approaches – generalized and context-specific, and compared results using random forests, extreme gradient boost, and multilayer perceptron classifiers. Our results indicate that for context-specific models the highest classification accuracy improved by 64% for Montreal, by 74% for St. John's and by 77% for Vancouver compared to the generalized model. We also found that the multilayer perceptron (96%) achieved the highest classification accuracy upon adding contextual variables compared to random forests (94.6%) and extreme gradient boost (93.3%) classifier. Our study highlights that adding contextual information specific to a city's geography can improve the predictive accuracy of transportation mode detection models, however, in case of limited knowledge about the geographic setting of a study area, a generalized model combining GPS data from several cities may still be useful for predicting modes from trip data.
Rethinking walkability and developing a conceptual definition of active living environments to guide research and practice
(BMC Public Health, 2022) Tobin, Melissa; Hajna, Samantha; Orychock, Kassia; Ross, Nancy; DeVries, Megan; Villeneuve, Paul J; Frank, Lawrence D; McCormack, Gavin R; Wasfi, Rania; Steinmetz-Wood, Madeleine; Gilliland, Jason; Booth, Gillian L; Winters, Meghan; Kestens, Yan; Manaugh, Kevin; Rainham, Daniel; Gauvin, Lise; Widener, Michael J; Muhajarine, Nazeem; Luan, Hui; Fuller, Daniel
Background Walkability is a popular term used to describe aspects of the built and social environment that have important population-level impacts on physical activity, energy balance, and health. Although the term is widely used by researchers, practitioners, and the general public, and multiple operational definitions and walkability measurement tools exist, there are is no agreed-upon conceptual definition of walkability. Method To address this gap, researchers from Memorial University of Newfoundland hosted “The Future of Walkability Measures Workshop” in association with researchers from the Canadian Urban Environmental Health Research Consortium (CANUE) in November 2017. During the workshop, trainees, researchers, and practitioners worked together in small groups to iteratively develop and reach consensus about a conceptual definition and name for walkability. The objective of this paper was to discuss and propose a conceptual definition of walkability and related concepts. Results In discussions during the workshop, it became clear that the term walkability leads to a narrow conception of the environmental features associated with health as it inherently focuses on walking. As a result, we suggest that the term Active Living Environments, as has been previously proposed in the literature, are more appropriate. We define Active Living Environments (ALEs) as the emergent natural, built, and social properties of neighbourhoods that promote physical activity and health and allow for equitable access to health-enhancing resources. Conclusions We believe that this broader conceptualization allows for a more comprehensive understanding of how built, natural, and social environments can contribute to improved health for all members of the population.
Urban form in Canada at a small-area level: Quantifying “compactness” and “sprawl” with bayesian multivariate spatial factor analysis
(Environment and Planning B: Urban Analytics and City Science, 2021) Luan, Hui; Fuller, Daniel
Quantifying urban forms to explore urban compactness or sprawl has become increasingly popular in multiple fields in the past decades. However, previous studies predominantly analyze the multidimensional phenomenon at large-area levels such as metropolitan areas, concealing variations that probably occur at small-area levels. Canadian studies measuring urban forms are usually conducted at the regional level with inconsistent indicators and approaches, hindering meaningful comparisons of compactness or sprawling between different regions. This study bridges a previous gap by applying Bayesian multivariate spatial factor analysis to construct a new composite urban compactness index for all Census Tracts (CT) in Canada. Nine urban form indictors representing four dimensions, density, centering, land use, and street connectivity are used in developing the index. Posterior probability is used to detect CTs that are most compact or sprawling. Results indicate that gross population and employment densities best characterize urban compactness at the CT level while land-use mix is the least central indictor to define the multi-faceted concept. Notable differences of urban compactness are detected across Canada and among different Census Metropolitan Areas (CMA). The most compact CTs usually locate in downtown or city center areas of a CMA. Larger and more populous CMAs, which also capture a larger extent of periphery areas, are not necessarily more compact and vice versa, suggesting the need to measure local variations of urban compactness. The constructed composite index allows direct urban compactness comparisons across different Canadian regions. Findings from this study can be used to guide smart and sustainable urban development in Canada.
Gentrification, perceptions of neighborhood change, and mental health in Montréal, Québec
(SSM - Population Health, 2023-04) Youngbloom, Amy; Thierry, Benoit; Fuller, Daniel; Kestens, Yan; Winters, Meghan; Hirsch, Jana A; Michael, Yvonne L; Firth, Caislin
While census-defined measures of gentrification are often used in research on gentrification and health, surveys can be used to better understand how residents perceive neighborhood change, and the implications for mental health. Whether or not gentrification affects mental health may depend on the extent to which an individual perceives changes in their neighborhood. Using health and map-based survey data, collected from 2020 to 2021, from the Interventions, Research, and Action in Cities Team, we examined links between perceptions of neighborhood change, census-defined neighborhood gentrification at participant residential addresses, and mental health among 505 adults living in Montréal. After adjusting for age, gender, race, education, and duration at current residence, greater perceived affordability and more positive feelings about neighborhood changes were associated with better mental health, as measured by the mental health component of the short-form health survey. Residents who perceived more change to the social environment had lower mental health scores, after adjusting individual covariates. Census-defined gentrification was not significantly associated with mental health, and perceptions of neighborhood change did not significantly modify the effect of gentrification on mental health. Utilizing survey tools can help researchers understand the role that perceptions of neighborhood change play in the understanding how neighborhood change impacts mental health.
WalkRollMap.org: Crowdsourcing barriers to mobility
(Frontiers in Rehabilitation Sciences, 2023) Laberee, Karen; Nelson, Trisalyn; Boss, Darren; Ferster, Colin; Hosford, Kate; Fuller, Daniel; Cloutier, Marie-Soleil; Winters, Meghan
Walking is a simple way to improve health through physical activity. Yet many people experience barriers to walking from a variety of physical, social, and psychological factors that impact their mobility. A challenge for managing and studying pedestrian environments is that barriers often occur at local scales (e.g., sidewalk features), yet such fine scale data on pedestrian facilities and experiences are often lacking or out of date. In response, our team developed WalkRollMap.org an online mapping tool that empowers communities by providing them with tools for crowdsourcing their own open data source. In this manuscript we highlight key functions of the tool, discuss initial approaches to community outreach, and share trends in reporting from the first nine months of operation. As of July 27, 2022, there have been 897 reports, of which 53% served to identify hazards, 34% missing amenities, and 14% incidents. The most frequently reported issues were related to sidewalks (15%), driver behavior (19%), and marked crosswalks (7%). The most common suggested amenities were sidewalks, marked crosswalks, connections (i.e., pathways between streets), and curb cuts. The most common types of incidents all included conflicts with vehicles. Data compiled through WalkRollMap.org offer unique potential for local and timely information on microscale barriers to mobility and are available for use by anyone as data are open and downloadable.
Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada
(Ecological Indicators, 2024-11) Wang, Xi; li, Xiaomei; Sha, Jinming; Zhang, Hao; Shifaw, Eshetu; Guo, Xulin; Lai, Shuhui; Wang, Jinliang
Rapid industrialization and urbanization have significantly changed urban spatial patterns, resulting in the urban ecosystem degradation and urban spatial conflicts. The challenge requires the urban spatial planning more sophisticated for developing eco-city models in the perspective of urban land multifunctionality. The ProductionLiving-Ecological(PLE) spatial pattern is proposed for effective eco-city planning in Chinese urban cases. Given the differing climatic and cultural contexts, are the PLE spatial patterns comparable between cities from different continents? This study aims to compare the characteristics of PLE spatial patterns and the trade-offs & synergies of PLE spaces between Fuzhou city, China and Saskatoon, Canada for developing the eco-city models. First, the paper identified the PLE spaces by integrating multi-source data, then analyzed the PLE spatial agglomeration characteristics by using the average nearest neighbor and kernel density analysis, finally detected the trade-offs and synergies between functional spaces by Spearman correlation and bivariate spatial autocorrelation. The results showed the distinctly different PLE spatial patterns and the trade-offs & synergies of PLE spaces between the two eco-cities in Fuzhou, China and Saskatoon, Canada in 2022. (1) For the PLE space composition, the percentages of ecological space in Fuzhou and Saskatoon were 64.6% and 36.4%, respectively, while the pro portions of the most suitable residential space in two cities from POI data were 2.4% and 4.1%, respectively. (2) For PLE spatial agglomeration, ecological space in Fuzhou was characterized with a random distribution with the average nearest neighbor index of 1.19, and scattered as small patches in urban hilly area covered with evergreen broadleaf trees, while in Saskatoon the index was less than 1.00 with a clustered distribution in numerous city parks covered with grass and shrubs; Fuzhou’s multifunctional spaces were clustered in the central urban area surrounded by ring roads and in Changle District, while Saskatoon’s were dispersed with large patches. (3) For the trade-offs & synergies of PLE space, the ecological spaces in two cities were suppressed. In Fuzhou, the trade-off area ratio of the ecological space to other fuctional spaces was ranged 50% to 58%, while in Saskatoon, it was 40% to 47%. (4) The PLE spatial pattern can clearly sketch the different eco-city frameworks in different continents. Fuzhou’s eco-city model was characterized by “high ecological space/compacted living space/strong trade-off between ES and other spaces” and Saskatoon’s was featured with “low ecological space/spacious residential space with high livability/ weak trade-off between ES and other spaces”. Therefore, Fuzhou faced more challenges of intense spatial competition in the context of dense population. Our findings reveals the practical requirements for optimizing urban space and functions in terms of economic, ecological, and livability considerations. Additionally, they would provide valuable insights for long-term urban spatial planning and development strategies.
The Ecology and Evolution of Beavers: Ecosystem Engineers That Ameliorate Climate Change
(Annual Reviews, 2024-10-09) Fairfax, Emily; Westbrook, Cherie
Beavers, Castor canadensis in North America and Castor fiber in Eurasia, are widely referred to as nature's engineers due to their ability to rapidly transform diverse landscapes into dynamic wetland ecosystems. Few other organisms exhibit the same level of control over local geomorphic, hydrologic, and ecological conditions. Though freshwater ecosystems are particularly vulnerable to changing climate, beavers and their wetland homes have persisted throughout the Northern Hemisphere during numerous prior periods of climatic change. Some research suggests that the need to create stable, climate-buffered habitats at high latitudes during the Miocene directly led to the evolution of dam construction. As we follow an unprecedented trajectory of anthropogenic warming, we have the unique opportunity to describe how beaver ecosystem engineering ameliorates climate change today. Here, we review how beavers create and maintain local hydroclimatic stability and influence larger-scale biophysical ecosystem processes in the context of past, present, and future climate change.
Comparing the Sources of Sediment Retained by Beaver Dams and Beaver Dam Analogs
(Wiley, 2024-10-14) Westbrook, Cherie; Cooper, David J.
Beavers modify riverine systems by building dams that alter downstream fluxes of water and sediment. Where beavers have been lost and stream channels degraded, beaver dam analogs (BDAs) are being used to mimic the effects of beaver engineering. Central to the success of these structures in accelerating stream recovery is creating similar ecosystem responses as beaver dams including sediment retention. Unknown is the relative importance of beaver actions versus erosion in the catchment in generating the retained sediment. This study tested the viability of sediment fingerprinting to determine the source of sediment retained by beaver dams and BDAs in a watershed in Alberta, Canada. Concentrations of 29 elements were measured as potential tracers from known sediment sources: upland, terrace, stream bank, and beaver canal. Virtual mixture tests, used to compare the computed source estimates with known source mixtures, revealed that sediment fingerprinting is a robust method for identifying sources of sediment retained by beaver ponds and BDAs. The un-mixing model results indicate that on average 56% of the sediment retained by the beaver dams originated from terraces, 23% from uplands, and 13% from beaver canals. About 89% of sediment retained by the BDAs originated from eroding stream banks. We conclude that the geomorphic effects of beavers and their dams are more diverse, resulting in more diverse sources of sediment retained by their dams. This differentiates beaver dams from BDAs. The study has implications for informing management practices that involve beavers and beaver mimicry.
An ecological quantification of the relationships between water, sanitation and infant, child, and maternal mortality
(Environmental Health, 2012) Cheng, June J.; Schuster Wallace, Corinne; Watt, Susan; Newbold, Bruce; Mente, Andrew
Background: Water and sanitation access are known to be related to newborn, child, and maternal health. Our study attempts to quantify these relationships globally using country-level data: How much does improving access to water and sanitation influence infant, child, and maternal mortality? Methods: Data for 193 countries were abstracted from global databases (World Bank, WHO, and UNICEF). Linear regression was used for the outcomes of under-five mortality rate and infant mortality rate (IMR). These results are presented as events per 1000 live births. Ordinal logistic regression was used to compute odds ratios for the outcome of maternal mortality ratio (MMR). Results: Under-five mortality rate decreased by 1.17 (95%CI 1.08-1.26) deaths per 1000,p< 0.001, for every quartile increase in population water access after adjustments for confounders. There was a similar relationship between quartile increase of sanitation access and under-five mortality rate, with a decrease of 1.66 (95%CI 1.11-1.32) deaths per 1000,p<0.001. Improved water access was also related to IMR, with the IMR decreasing by 1.14 (95%CI 1.05-1.23) deaths per 1000,p< 0.001, with increasing quartile of access to improved water source. The significance of this relationship was retained with quartile improvement in sanitation access, where the decrease in IMR was 1.66 (95%CI 1.11-1.32) deaths per 1000,p< 0.001. The estimated odds ratio that increased quartile of water access was significantly associated with increased quartile of MMR was 0.58 (95%CI 0.39-0.86),p= 0.008. The corresponding odds ratio for sanitation was 0.52 (95%CI 0.32-0.85),p= 0.009, both suggesting that better water and sanitation were associated with decreased MMR. Conclusions: Our analyses suggest that access to water and sanitation independently contribute to child and maternal mortality outcomes. If the world is to seriously address the Millennium Development Goals of reducing child and maternal mortality, then improved water and sanitation accesses are key strategies.
The Impacts of Climate Change on Water-, Food-, Vector- and Rodent-Borne Diseases
(Health Canada, 2008) Charron, Dominique; Fleury, Manon; Lindsay, Robbin; Ogden, Nicholas; Schuster Wallace, Corinne
Using Photovoice as a Community Based Participatory Research Tool for Changing Water, Sanitation, and Hygiene Behaviours in Usoma, Kenya
(BioMed Research International, 2015) Bisung, Elijah; Elliott, Susan J.; Abudho, Dr. Bernard; Karanja, Diana M.; Schuster Wallace, Corinne
Recent years have witnessed an increase in the use of community based participatory research (CBPR) tools for understanding environment and health issues and facilitating social action. This paper explores the application and utility of photovoice for understanding water, sanitation, and hygiene (WASH) behaviours and catalysing community led solutions to change behaviours. Between June and August 2013, photovoice was conducted with eight (8) women in Usoma, a lakeshore community in Western Kenya with a follow-up community meeting (baraza) in May 2014 to discuss findings with the community members and government officials. In the first part of the study, photovoice one-on-one interviews were used to explore local perceptions and practices around water-health linkages and how the ecological and socio-political environment shapes these perceptions and practices. This paper, which is the second component of the study, uses photovoice group discussions to explore participants’ experiences with and (re)action to the photographs and the photovoice project. The findings illustrate that photovoice was an effective CBPR methodology for understanding behaviours, creating awareness, facilitating collective action, and engaging with local government and local health officials at the water-health nexus.
The Virtual Water Gallery: Changing Attitudes through Art
(European Geosciences Union, 2023) Arnal, Louise; Clark, Martyn P.; Dumanski, Stacey
Water is life. Water-related challenges, such as droughts, floods, wildfires, water quality degradation, permafrost thaw and glacier melt, exacerbated by climate change, affect everyone. Yet, it is challenging to communicate science on difficult, highly volatile topics such as water and climate change. Conceptualizing water-related environmental and social issues in novel ways, with engagement between diverse audiences may lead to comprehensive solutions to these complex challenges. Art can be a catalyst in the co-creation of new knowledge for the benefit of society. The Virtual Water Gallery (VWG) is a transdisciplinary science and art project of the Global Water Futures (GWF) program. Launched in 2020, the VWG aims to provide a collaborative space for dialogues between water experts, artists, and the wider public, to explore water challenges. As part of this project, 13 artists representing women’s, men’s and Indigenous voices across Canada were paired with teams of GWF scientists to co-explore specific water challenges in various Canadian ecoregions and communities. These collaborations led to the co-creation of artworks exhibited online on the VWG (www.virtualwatergallery.ca) in 2021. The VWG recently came to life in 2022 with an in-person exhibition in Canmore, Alberta, Canada. Surveys were developed to capture changes in perspectives regarding climate change and water challenges through this art-science exhibit. Participants of the VWG (artists and scientists), visitors to the online gallery, and visitors to the in-person exhibition in Canmore were all invited to take part in those surveys. The preliminary results from the surveys suggest that participants experienced changes in behaviour regarding water-related climate change mitigation, and that the degree of change depends on factors such as age, income and lived experience (i.e., floods and droughts). The results help elucidate how art viewers engage with art based on science and how science messages can be more effectively communicated through art.
Translating hydrology research into practice: A Canadian Perspective
(European Geosciences Union, 2023) Pietroniro, Alain; Rokaya, Prabin; Schuster-Wallace, Corinne; Pomeroy, John
Hydrology research is regarded as vital for advancing human development and environmental conservation through improved hydrological process understanding and by devising solutions to address water management challenges. This is particularly acute in a time of global change and the need to find pathways to water sustainability. Success for research in hydrology is often measured through quantitative research outputs, such as the number of journal publications, citation indices, number of students trained, patents, and external research funding. User involvement in the research and development process is rarely considered a metric for success in hydrology. Despite successful scientific or engineering advancements, a greater scientific understanding of hydrology and ever-increasing publications, much of the research has limited uptake by practitioners and implementation into practice, leading to a growing gap between research and practice. This lack of utilisation is not due to a lack of need by users, but rather is a symptom of the disconnect between these advances and research that would most add value to practitioners and their application needs. We explore some outstanding challenges in translating academic research into practice and make some recommendations to bridge the increasing gaps between research and practice through a transdisciplinary approach, user engagement metrics in funded research and strong knowledge mobilization. We also discuss the success and challenges of these approaches in the Global Water Futures program along with lessons learned.
Advances in mapping sub-canopy snow depth with unmanned aerial vehicles using structure from motion and lidar techniques
(Copernicus Publications on behalf of the European Geosciences Union, 2019) Harder, Phillip; Pomeroy, John; Helgason, Warren D.
Vegetation has a tremendous influence on snow processes and snowpack dynamics yet remote sensing techniques to resolve the spatial variability of sub-canopy snow depth are lacking. Unmanned Aerial Vehicles (UAV) have had recent widespread application to capture high resolution information on snow processes and are herein applied to the sub-canopy snow depth challenge. Previous demonstrations of snow depth mapping with UAV Structure from Motion (SfM) and airborne lidar have focussed on non-vegetated surfaces or reported large errors in the presence of vegetation. In contrast, UAV-lidar systems have high-density point clouds, measure returns from a wide range of scan angles, and so have a greater likelihood of successfully sensing the sub-canopy snow depth. The effectiveness of UAV-lidar and UAV-SfM in mapping snow depth in both open and forested terrain was tested in a 2019 field campaign in the Canadian Rockies Hydrological Observatory, Alberta and at Canadian Prairie sites near Saskatoon, Saskatchewan, Canada. Only UAV-lidar could successfully measure the sub-canopy snow surface with reliable sub-canopy point coverage, and consistent error metrics (RMSE <0.17m and bias -0.03m to -0.13m). Relative to UAV-lidar, UAV-SfM did not consistently sense the sub-canopy snow surface, the interpolation needed to account for point cloud gaps introduced interpolation artefacts, and error metrics demonstrate relatively large variability (RMSE <0.33m and bias 0.08 m to -0.14m). With the demonstration of sub-canopy snow depth mapping capabilities a number of early applications are presented to showcase the ability of UAV-lidar to effectively quantify the many multiscale snow processes defining snowpack dynamics in mountain and prairie environments.
Hybrid forecasting: blending climate predictions with AI models
(Copernicus Publications [Commercial Publisher], European Geosciences Union [Society Publisher], 2023) Slater, Louise; Arnal, Louise; Boucher, Marie-Amélie; Chang, Annie Y.-Y.; Moulds, Simon; Murphy, Conor; Nearing, Grey; Shalev, Guy; Shen, Chaopeng; Speight, Linda; Villarini, Gabriele; Wilby, Robert L.; Wood, Andrew; Zappa, Massimiliano
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land, hydrology, and Earth system models – into a final prediction product. They are recognized as a promising way of enhancing the prediction skill of meteorological and hydroclimatic variables and events, including rainfall, temperature, streamflow, floods, droughts, tropical cyclones, or atmospheric rivers. Hybrid forecasting methods are now receiving growing attention due to advances in weather and climate prediction systems at subseasonal to decadal scales, a better appreciation of the strengths of AI, and expanding access to computational resources and methods. Such systems are attractive because they may avoid the need to run a computationally expensive offline land model, can minimize the effect of biases that exist within dynamical outputs, benefit from the strengths of machine learning, and can learn from large datasets, while combining different sources of predictability with varying time horizons. Here we review recent developments in hybrid hydroclimatic forecasting and outline key challenges and opportunities for further research. These include obtaining physically explainable results, assimilating human influences from novel data sources, integrating new ensemble techniques to improve predictive skill, creating seamless prediction schemes that merge short to long lead times, incorporating initial land surface and ocean/ice conditions, acknowledging spatial variability in landscape and atmospheric forcing, and increasing the operational uptake of hybrid prediction schemes.

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