Geographic Information Sciences Commons^™

Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian

I-GUIDE Forum

Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …

Soil Erosion Analysis Of The Monroe County’S Watersheds In Indiana, Danielli De Melo Moura, Jie Shan

Purdue GIS Day

This study was carried out to spatially predict the amount of soil loss (tons/ha/year ) of Monroe County’s watersheds using Geographic Information System (GIS). Revised Universal Soil Loss Equation (RUSLE) was used to estimate potential soil losses by using information such as rainfall data for calculating the rainfall erosivity (R) , soil map for calculating the soil erodibility (K), digital elevation model for obtaining the topography factor (LS) and vegetation/cropland cover for calculating the cover management factor (C) and support practice factor (P). The result of the analysis depicted that the soil loss rate in Moroe’s watersheds ranges from 0 …

A Gis Analysis Of Waulsortian-Like Mounds In The Mississippian Of Kentucky And Tennessee, Philip Roberson

Scholars Week

Following a mass extinction nearly 365 million years ago, bryozoans and crinoids replaced corals and stromatoporoids as the dominant framework organisms in reefs and, during the very earliest part of the Carboniferous period, they built reef-like structures that are known from Europe, North America and Africa. They are characterized by large size, a matrix of carbonate mud, and their major framework organisms.

Waulsortian-like mounds occur in geographically isolated patches in outcrop and in the subsurface of central Tennessee and Kentucky where they are associated with hydrocarbon production. These mounds have the same characteristic organisms as the European mounds and do …

Open Access Geospatial Data, Hannah Hamalainen

Open Access Events

The landscape of open-access geospatial data is vastly growing with an abundance of open source software, websites, and datasets available to the public. How do we find and access these resources? Find out from the Geospatial Services Center.

Karst Topography And Sacred Places: A Comprehensive Approach To Understanding The Maya Landscape With Applied Gis, John Edward Sabin 6946816

Georgia State Undergraduate Research Conference

No abstract provided.

Tracking Of Karst Contamination Using Alternative Monitoring Technologies: Hidden River Cave Kentucky, Caren Raedts, Christopher Smart

Sinkhole Conference 2015

Karst groundwater contamination presents great challenges for efficient monitoring because of rapid, discrete transport and the diversity of contaminants. Here a low cost approach is described and applied to Hidden River Cave, Kentucky, where a long history of contamination has been experienced. Local knowledge was acquired through informal interviews and coupled with observations of contaminant residues, faunal distributions and fluorescence spectra in the cave. The resulting patterns were interpreted using Google Earth and Street View to identify specific contaminant sources in the affected sub-catchment of the cave. Despite success in matching contaminant sources with the contamination history and pattern, the …

Crowdsourcing Global Wastewater Data, Don Mosteller, Sam Cohen, Cory Nestor, Angel Hsu, Omar Malik

Yale Day of Data

No time to waste: Crowdsourcing global wastewater treatment data

Worldwide, over 80 percent of wastewater is discharged into water bodies without undergoing treatment, severely impairing human well-being and ecosystem vitality along the way. National performance on wastewater treatment is difficult to quantify and is poorly understood due to a lack of common definitions, poor data collection standards, and limited historical data. To address this, the Yale Environmental Performance Index (EPI), a research group that produces a biennial ranking of country-level environmental performance, developed a first-of-its kind national wastewater treatment indicator.[1]

The indicator assesses wastewater treatment performance for 183 countries, …

Marine Transgression And Vegetation Environments In St. Catherines Island, Georgia, Rachel Luu

Georgia State Undergraduate Research Conference

No abstract provided.