The poster displays tree canopy coverage by Census block in Tulsa, Oklahoma.

Ottawa County, situated in far northeastern Oklahoma, was once part of the lucrative Tri-State Mining District, an area that was heavily mined for lead and zinc during the first half of the twentieth century. While the mines were abandoned in the 1960s, a toxic legacy remains in the form of contaminated mine tailings known as chat, water pollution, and the continued threat of ground subsidence. Today, Ottawa County is not only home to the Tar Creek Superfund Site (with the Picher Mining Field at its heart) and other sources of great environmental, public health and safety risk, but also ten sovereign Native nations confronting this toxic legacy. Through a partnership with the Local Environmental Action Demanded (L.E.A.D.) Agency, we are coproducing a deep mapping project that blends audiovisual and archival materials with a geospatial database comprised of historical census and environmental data to showcase embodied experiences of air, water, and work in Ottawa County.

Long-term exposure to elevated nitrogen dioxide (NO₂) concentrations adversely affects the respiratory system and significantly increases health risks. Numerous studies have demonstrated marked disparities in air pollution exposure among communities of different socioeconomic statuses, with marginalized populations often experiencing higher pollutant burdens. Accurate, high-resolution surface NO₂ concentration data are therefore essential for assessing health risks and advancing environmental justice at a fine spatial scale. This study harnesses the power of machine learning models alongside advanced geospatial datasets to generate high-resolution surface NO₂ estimates. The resulting NO₂ concentration dataset will facilitate a comprehensive assessment of environmental inequities and contribute to the broader discourse on environmental justice and support data-driven decision-making in future pollution mitigation policies.

With climate change introducing nonstationarity in climatic variables such as precipitation, traditional drought monitoring tools like the Standardized Precipitation Index (SPI), which rely on fixed, climatically representative base periods for reference, may not accurately reflect current precipitation extremes. Studies are beginning to show that changes in drought classification due to changing base periods can lead to confusion and misinterpretation by users. In this study, climate divisional monthly precipitation data is used to calculate the 3- and 12-month SPI using a series of base periods in order to evaluate the extent to which the value of the SPI is influenced by its underlying base period.

Streams in the Ozark ecoregion, including the Illinois River in northeast Oklahoma, have undergone substantial changes in the previous two centuries, likely due to changes in landcover/land use following European settlement. These changes have made streams in the region more susceptible to bank erosion and channel widening. Previous research has shown large scale bank erosion occurring at select sites along the Illinois River, but no research has been done to quantify changes along a larger, continuous section of this stream. This project used historical aerial imagery to map and quantify changes in stream channel morphology, including channel area and width, throughout a 49 km reach of the Illinois River in Cherokee County, Oklahoma using four time points between 1938 and 2023.

This poster is about the City of Tulsa MDP (Master Drainage Plan) Viewer. The Primary function of this application is to have all the Stormwater data in one application. It is used by the Stormwater Engineers to view the floodplains ,stormwater structures and assist the citizens with Stormwater issues.