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The Impacts of Land Use and Land Cov...
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Shrestha, Dinesh.
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The Impacts of Land Use and Land Cover Change on Water Quality in the Big Sioux River: 2007-2016.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Impacts of Land Use and Land Cover Change on Water Quality in the Big Sioux River: 2007-2016./
作者:
Shrestha, Dinesh.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
163 p.
附註:
Source: Masters Abstracts International, Volume: 80-11.
Contained By:
Masters Abstracts International80-11.
標題:
Geography. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13807920
ISBN:
9781392118696
The Impacts of Land Use and Land Cover Change on Water Quality in the Big Sioux River: 2007-2016.
Shrestha, Dinesh.
The Impacts of Land Use and Land Cover Change on Water Quality in the Big Sioux River: 2007-2016.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 163 p.
Source: Masters Abstracts International, Volume: 80-11.
Thesis (M.S.)--South Dakota State University, 2019.
This item must not be sold to any third party vendors.
Between 2006 and 2012, conversion of 485,000 acres of grassland to cropland in eastern South Dakota was reported. In 2012, the Big Sioux River (BSR) running through most of eastern South Dakota was listed among the dirtiest rivers in the nation. This rating convinced state authorities to study trends of land cover changes in the BSR watershed and its association with BSR water quality with respect to increases in nitrate levels. This research i) quantifies spatial and temporal changes in the land cover types within the BSR watershed, and ii) identifies any correlation between these changes and changes in BSR nitrate levels. It uses the Cropland Data Layer (CDL) to characterize and determine rates of Land Cover Changes (LCC), and the non-parametric Mann-Kendall test to identify statistically significant increasing and decreasing LCC trends within the BSR watershed. Similarly, nitrate data collected from 11 gauging stations operating in the BSR watershed were analyzed using the Mann-Kendall test to identify any trends. For all the land cover classes and gauging stations that were identified as statistically significant, a Sen's Slope estimate was used to estimate their magnitudes. Only Corn/Soybean and Grassland acreage displayed a significant increasing and decreasing trends, respectively whereas remaining classes including Other Crops, Water, and Developed didn't show any trends and were considered as classes having "No Trend". Similarly, out of 11 gauging stations, one station (SD Codington K06) showed a significant increasing trend, one station (MN Pipestone 099) showed a decreasing trend and remaining other stations didn't show any trends and were considered as gauging stations having "No Trend". In general, there was insufficient evidence to conclusively link changes in Corn/Soybean LCC to changes in nitrate levels. The results of this research suggest that changes should be made to gauging station locations and sampling frequency, particularly on smaller tributary rivers and streams within the watershed.
ISBN: 9781392118696Subjects--Topical Terms:
524010
Geography.
The Impacts of Land Use and Land Cover Change on Water Quality in the Big Sioux River: 2007-2016.
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Between 2006 and 2012, conversion of 485,000 acres of grassland to cropland in eastern South Dakota was reported. In 2012, the Big Sioux River (BSR) running through most of eastern South Dakota was listed among the dirtiest rivers in the nation. This rating convinced state authorities to study trends of land cover changes in the BSR watershed and its association with BSR water quality with respect to increases in nitrate levels. This research i) quantifies spatial and temporal changes in the land cover types within the BSR watershed, and ii) identifies any correlation between these changes and changes in BSR nitrate levels. It uses the Cropland Data Layer (CDL) to characterize and determine rates of Land Cover Changes (LCC), and the non-parametric Mann-Kendall test to identify statistically significant increasing and decreasing LCC trends within the BSR watershed. Similarly, nitrate data collected from 11 gauging stations operating in the BSR watershed were analyzed using the Mann-Kendall test to identify any trends. For all the land cover classes and gauging stations that were identified as statistically significant, a Sen's Slope estimate was used to estimate their magnitudes. Only Corn/Soybean and Grassland acreage displayed a significant increasing and decreasing trends, respectively whereas remaining classes including Other Crops, Water, and Developed didn't show any trends and were considered as classes having "No Trend". Similarly, out of 11 gauging stations, one station (SD Codington K06) showed a significant increasing trend, one station (MN Pipestone 099) showed a decreasing trend and remaining other stations didn't show any trends and were considered as gauging stations having "No Trend". In general, there was insufficient evidence to conclusively link changes in Corn/Soybean LCC to changes in nitrate levels. The results of this research suggest that changes should be made to gauging station locations and sampling frequency, particularly on smaller tributary rivers and streams within the watershed.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13807920
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