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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Breaking The Loop: Strategies For Fighting Climate Change On U.S. Farms, Ashley Barry
Breaking The Loop: Strategies For Fighting Climate Change On U.S. Farms, Ashley Barry
Honors Capstones
Climate change is an increasingly urgent area of research due to the hardships it causes for lands and communities across the globe. Specifically in regard to the United States (U.S.), climate change has many concerning implications on our agricultural system. Increased weather hazards, decreased crop production, and drought are just a few of the hardships American farmers are facing in their fight to keep their farms alive and feed their communities, despite a rapidly changing climate. This study investigates how farmers can fight and prevent climate change through the use of specific mitigation and adaptation strategies on their farms. Semi- …
Landslide Forecast In Taiwan Based On Machine Learning In The Gis Field, Yi Shen
Landslide Forecast In Taiwan Based On Machine Learning In The Gis Field, Yi Shen
Honors Capstones
Landslides can pose a significant risk to life, property, and infrastructure in mountainous regions, and can be triggered by various factors, including intense rainfall, earthquakes, and water level changes. Machine learning is commonly used to forecast landslides, based on statistical relationships between past landslides and multiple variables to create a general forecasting model. However, these models often require large amounts of data to achieve accurate results. This project aims to use only a few variables but take advantage of both their spatial distribution and temporal trends to improve the accuracy of landslide forecasts. This approach is tested in Taiwan, a …
Pixel-Wise Machine Learning And Deep Learning Methods Implementation On Multi-Class Wildfire Mapping, Mingda Wu
Pixel-Wise Machine Learning And Deep Learning Methods Implementation On Multi-Class Wildfire Mapping, Mingda Wu
Honors Capstones
Wildfires are destructive natural hazards. Artificial Intelligence (AI) has been a trendy topic in recent years due to its powerful applicability. This study focuses on the use of artificial intelligence (AI) in hazard management, specifically in the field of wildfire mapping. Machine learning and Deep learning are two subsets of AI. This study applied pixel-wise machine learning and deep learning methods to do multi-class mapping on two wildfire events in California, USA. The purpose of this research is to demonstrate the usefulness and advantages of using AI in the field of hazard management. The machine learning methods selected are Random …
Grey To Green: The Impact Of Environmental Policy On Us Crime Rates, Kassandra Gonzalez
Grey To Green: The Impact Of Environmental Policy On Us Crime Rates, Kassandra Gonzalez
Graduate Research Theses & Dissertations
This study explores the social implications of climate change and environmental degradation on deviant and criminal behavior. This study employs general strain theory to examine the effectiveness of city-level climate change mitigation actions in reducing crime rates. Through a systematic approach, this study reviews literature on environmental harms and community strain and explores the impact of local pro-environmental policies on crime reduction. Focusing on the United States, UCR crime rate reports and UN-guided Sustainable Development Goal data are analyzed at the US county level. The findings suggest that sustainable practices, especially those related to local infrastructure and community engagement, could …
Exploring Beaver-Facilitated Restoration In Grassland Channelized Streams, Jessica L. Sikora
Exploring Beaver-Facilitated Restoration In Grassland Channelized Streams, Jessica L. Sikora
Graduate Research Theses & Dissertations
Freshwater streams provide vital ecosystem services, but their ecological function is gravely impacted by agricultural practices especially in grassland ecosystems. Though there is evidence that the re-introduction of beavers can help restore the ecological function of streams, little is known about their restorative impacts in grasslands. At Nachusa Grasslands Preserve in Franklin Grove, IL, we investigated the presence and impact of beaver dams on their waterways. With increasing beaver dam volume, we found an increase in sediment retention and less sediment retention with increasing beaver dams upstream from a dam. Though we did not find evidence that beaver dam volume …
Influence Of Land Use, Precipitation, And Seasonality On Surface Water Quality In The East And Upper South Branches Of The Kishwaukee River Watershed (Esbkr), Ashley Irene Broussard
Influence Of Land Use, Precipitation, And Seasonality On Surface Water Quality In The East And Upper South Branches Of The Kishwaukee River Watershed (Esbkr), Ashley Irene Broussard
Graduate Research Theses & Dissertations
The East and Upper South Branches of the Kishwaukee River Watershed (ESBKR) are two HUC-10 watersheds that cover approximately 221.8 mi2 (574.5 km2) in north-central Illinois. Segments of the Kishwaukee River within the ESBKR are in the ILEPA’s 303(d) list of impaired waters for fish consumption and aesthetic quality. To protect and improve stream health, we must better understand the impact of diverse land use on non-point source (NPS) pollution and water quality. The primary goal of this study was to determine how different land uses impact the surface water quality within the ESBKR. To address this goal, surface water …
Methods For Investigating Geo-Stem Learning Ecosystems: A Case-Study Of Illinois Earth Science Teachers, Cheryl L.B. Manning
Methods For Investigating Geo-Stem Learning Ecosystems: A Case-Study Of Illinois Earth Science Teachers, Cheryl L.B. Manning
Graduate Research Theses & Dissertations
The complex interactions between people and resources in communities that foster innovation can be thought of as ecosystems. These ecosystems have the potential to broaden participation in the geoscience community if we invest in collaborations that map out long-term solutions and career pathways for young community members. Geo-STEM learning ecosystems (GLE) engage local communities in sustainable programs that promote geoscience literacy and inspire people to learn the geosciences. A goal of GLE is to leverage existing social systems and accelerate geo-STEM solutions for society. Thus far, few studies in the geosciences have interrogated what is meant by a “learning ecosystem” …