عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شماره کتابشناسی ملی
شماره
TL52482
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
Fine Particulate Matter (PM2.5) Pollution in Intensive Agricultural Region of North Carolina: Satellite Analysis and Integrate Ground-based Measurements
نام عام مواد
[Thesis]
نام نخستين پديدآور
Wiegand, Rebecca Diane
نام ساير پديدآوران
Aiyyer, Anantha
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
North Carolina State University
تاریخ نشرو بخش و غیره
2019
يادداشت کلی
متن يادداشت
82 p.
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
M.S.
کسي که مدرک را اعطا کرده
North Carolina State University
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Intensive animal agriculture is an important part of North Carolina's economy. About ~ 10 million hogs, and about 1 billion chickens and turkeys are produced annually at animal feeding operations, located primarily in the eastern part of the state. Large emissions of ammonia (NH3) gas and other trace gases emanate from the handling of animal wastes at these operations, NH3 can contribute to the formation of fine particulate matter (PM2.5) around the state causing regional haze events along with human health effects such as respiratory illnesses and premature death. The objective of this research is to provide the relationship between ammonia from these agricultural farms and its effect on PM2.5 concentrations. Satellite derived ammonia and aerosol optical depth (AOD) values were used as a way to mitigate issues with the spatial distribution of ground-based measurement. A multiple linear regression model was derived to predict ground level PM2.5 for a site in Cumberland County, North Carolina, and a site in Johnston County, North Carolina during the summer months (June, July and August) from 2008-2017. The model was created using the AOD retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board NASA's Aqua satellite along with surface PM2.5 monitor used by the Environmental Protection Agency and the North Carolina Department of Environmental Quality. The ammonia data used in the model was obtained through the Infrared Atmospheric Sounding Interferometer (IASI) located on board the MetOp-A satellite. The model also incorporated ground based metrological data as it has a significant impact on PM2.5 concentrations. The model was then utilized to predict PM2.5 concentrations in New Hanover County, Catawba County and Sampson county. A combination of the Cumberland county model and the Johnston county model for the summer was chosen and validated for Duplin County, NC. The model is being used to predict Sampson County, NC, concentrations. The model predicted a total of six 24-hour exceedances over the nine-year period. This indicates that there are areas of the state that could have air quality issues that are not captured due to there not being a monitor. Separately, the idea of investigating ammonia control as a PM2.5 reduction strategy could be useful in areas dominated by or near high agricultural activity.
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Aeronomy
اصطلاح موضوعی
Agriculture
اصطلاح موضوعی
Regional studies
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Wiegand, Rebecca Diane
نام شخص - ( مسئولیت معنوی درجه دوم )
مستند نام اشخاص تاييد نشده
Aiyyer, Anantha
شناسه افزوده (تنالگان)
مستند نام تنالگان تاييد نشده
North Carolina State University
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب وضعیت انتشار
فرمت انتشار
p
اطلاعات رکورد کتابشناسی
نوع ماده
[Thesis]
کد کاربرگه
276903
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
