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Digital Object.pdf

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NIAID Data Ecosystem2026-03-09 收录
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https://figshare.com/articles/dataset/Digital_Object_pdf/3180277
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Overview: Urban runoff is surface runoff of rainwater created by urbanization. Impervious surfaces are constructed during land development. Rainwater generally doesn’t have problems soaking into porous ground, like vegetation. However, impervious surfaces like driveways, paved roads, sidewalks, and streets prevent the ground from soaking in the water. When it rains, the water passes through the streets and can carry with it dirt, bacteria, chemicals from pesticides and fertilizers, highway runoff, and other potentially dangerous pollutants. This water gets carried into a storm sewer system or dumps right into our watersheds. Although nitrogen is found naturally in the environment, it is also introduced through sewage and fertilizers. The overabundance of Nitrogen can cause a number of adverse health and ecological effects. The object of this study is to see if there is a relationship between the amount of vegetative coverage and the water quality parameters of nitrogen and dissolved oxygen (DO) on Shoal Creek. The results will show how nitrogen and DO levels in Shoal Creek are affected by the amount of vegetative coverage that surrounds it. Shoal Creek is an area shared by runners, nature watchers, dog walkers, commuters, and other Austin residents. Despite its importance to Austin’s community, Shoal Creek has been identified as having elevated levels of bacteria and is no longer deemed safe for contact recreation. 50 different locations along the creek will be investigated and the explanatory variable levels of nitrogen and response variable DO will be measured. Each location will be assessed for the categorical explanatory variable of vegetative coverage (sparsely or densely vegetative). Vegetative coverage is an indicator of human activity and pervious cover, thus a negative correlation coefficient is expected between vegetative coverage and nitrogen levels. Sparsely vegetative coverage will have higher nitrogen content and lower DO levels, and densely vegetative coverage will have lower nitrogen content and higher DO levels. DO levels are expected to decrease with increasing levels of nitrogen, because nitrogen fluxes cause algal blooms (hypoxia) and warm water surface runoff reduce DO content in stream water. Nitrogen and DO content will be measured using a YSI water quality meter. The meter is sensitive to disturbances in the water samples, so the water will not be disturbed before the location is tested. The distance in-between every sampling location will be 366 meters, this is obtained by dividing the distance of Shoal Creek (approximately 11.4 miles) by 50 different locations. This will ensure the individual locations are representative of the entire creek, and eliminate potential bias in simply choosing locations along the creek to test. At every location a 15x3 meter area on both the right and left side of the creek will be marked off with cones and the vegetative coverage (sparsely or densely vegetative) in this area will be observed. All buildings, sidewalks, pavement, concrete and walls will be considered impervious surfaces and will not be considered vegetation. Areas less than 40% vegetation will be categorized as sparsely vegetative and areas greater than 40% vegetation will be categorized as densely vegetative. Because DO is also an indicator of temperature, data will be collected on days that are very similar in temperature/weather patterns to reduce the sampling error. Objective: The object of this study is to see if there is a relationship between the amount of vegetative cover and the water quality parameters of nitrogen and dissolved oxygen on Shoal Creek. The results will show how DO is affected by the nitrogen content and vegetative cover surrounding Shoal Creek. Results: While controlling for vegetative cover, nitrogen is a significant predictor of DO (p-value < alpha). For ever 1mg/L increase in nitrogen, DO will increase by 9.833 mg/L, on average.  While controlling for nitrogen, vegetative cover is a significant predictor of DO (p-value < alpha). Sparsely vegetative cover will have a DO content of 7.6269 (mg/L) more, on average than densely vegetative cover.  There is an interaction between the effects of vegetative cover and nitrogen content on the amount of DO found in the creek (p-value < alpha). This is confirmed by the interaction plot.
创建时间:
2016-04-17
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