INSTITUTE FOR NATURAL RESOURCES
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Detecting Non-Stationary Hydrologic Model Parameters in a Paired Catchment
Non-stationarity represents one of the major challenges facing hydrologists. There exists a need to develop modelling systems that are capable of accounting for potential catchment changes, in order to provide...
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Nuwuvi (Southern Paiute) Ecological Knowledge of Piñon-Juniper Woodlands: Implications for Conservation and Sustainable...
Nuwuvi (Southern Paiute) have inhabited the southern Great Basin for thousands of years, and consider Nuvagantu (where snow sits) in the Spring Mountains landscape to be the locus of their creation as a people....
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Macroinvertebrates and Excessive Fine Sediment Conditions in Oregon Coastal Streams
The Pacific Coastal ecoregion contains large tracts of economically important forest lands that also serve as critical stream habitat for endangered Salmonids. Excessive fine sediment deposition in streams of...
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Development of Destination Choice Models for Pedestrian Travel
Most research on walking behavior has focused on mode choice or walk trip frequency. In contrast, this study is one of the first to analyze and model the destination choice behaviors of pedestrians within an...
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Development of a Pedestrian Demand Estimation Tool
Most research on walking behavior has focused on mode choice or walk-trip frequency. In contrast, this study is one of the first to analyze the destination choice behaviors of pedestrians. Using about 4,500...
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Convergent Surface Water Distributions in U.S. Cities
Earth's surface is rapidly urbanizing, resulting in dramatic changes in the abundance, distribution and character of surface water features in urban landscapes. However,the scope and consequences of surface...
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Ecological Homogenization of Urban USA
A visually apparent but scientifically untested outcome of land-use change is homogenization across urban areas, where neighborhoods in different parts of the country have similar patterns of roads, residential...
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Facilitating Collaborative Urban Water Management Through University-Utility Cooperation
In the face of intensifying stresses such as climate change, rapid urban population growth, land use change, and public concern with rates and use restrictions, water management is becoming increasingly complex...
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Wavelet-Coupled Machine Learning Methods for Drought Forecast Utilizing Hybrid Meteorological and Remotely-Sensed Data
In this study, a statistical drought early warning method is proposed using novel machine learning algorithms, with the inclusion of multiple drought-related attributes from precipitation, satellite-derived...
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Improving Trip Generation Methods for Livable Communities
Recent efforts to improve trip generation data available for transportation impact analysis of new development include the collection of multimodal trip generation data, development of models that account for...
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