東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Mapping techniques for soil erosion:...

Thalacker, Rick James.

Linked to FindBook

Google Book

Amazon

博客來

Mapping techniques for soil erosion: Modeling stream power index in eastern North Dakota.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mapping techniques for soil erosion: Modeling stream power index in eastern North Dakota./
Author:	Thalacker, Rick James.
Description:	103 p.
Notes:	Source: Masters Abstracts International, Volume: 53-03.
Contained By:	Masters Abstracts International53-03(E).
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1560010
ISBN:	9781321010701

Mapping techniques for soil erosion: Modeling stream power index in eastern North Dakota.
Thalacker, Rick James.

Mapping techniques for soil erosion: Modeling stream power index in eastern North Dakota. - 103 p.

Source: Masters Abstracts International, Volume: 53-03.

Thesis (M.S.)--The University of North Dakota, 2014.

Soil erosion is a worldwide problem that can negatively affect surface water through the introduction of sediment, nutrients (eg. nitrogen, phosphorus), pesticides, and other chemicals. Soil erosion is often exacerbated by agricultural and other types of land use. The objective of this study was to identify gully locations in agricultural fields adjacent to the Turtle and Forest rivers in eastern North Dakota that accumulate surface flow resulting in areas of critical surface erosion in a GIS using the Stream Power Index (SPI). A field survey was conducted to verify the accuracy of the terrain analysis at identifying 391 gully and inlet locations. Sediment samples were collected from 44 inlets/gully locations and analyzed for soil texture, pH and conductivity to characterize the material being eroded and transported. The pH levels for the soil samples ranged from neutral to moderately alkaline and the EC values represented soils that were either non-saline or slightly saline. Sand was the dominant separate for both study areas. This study found that SPI signatures at or above critical erosion levels can be used to target precision conservation in individual fields adjacent to the Turtle and Forest rivers.

ISBN: 9781321010701Subjects--Topical Terms:

524010
Geography.

Mapping techniques for soil erosion: Modeling stream power index in eastern North Dakota.
LDR:02141nmm a2200301 4500 001 2065852
005 20151205152706.5
008 170521s2014 ||||||||||||||||| ||eng d
020 $a 9781321010701
035 $a (MiAaPQ)AAI1560010
035 $a AAI1560010
040 $a MiAaPQ $c MiAaPQ
100 1 $a Thalacker, Rick James. $3 3180591
245 1 0 $a Mapping techniques for soil erosion: Modeling stream power index in eastern North Dakota.
300 $a 103 p.
500 $a Source: Masters Abstracts International, Volume: 53-03.
500 $a Adviser: Gregory S. Vandeberg.
502 $a Thesis (M.S.)--The University of North Dakota, 2014.
520 $a Soil erosion is a worldwide problem that can negatively affect surface water through the introduction of sediment, nutrients (eg. nitrogen, phosphorus), pesticides, and other chemicals. Soil erosion is often exacerbated by agricultural and other types of land use. The objective of this study was to identify gully locations in agricultural fields adjacent to the Turtle and Forest rivers in eastern North Dakota that accumulate surface flow resulting in areas of critical surface erosion in a GIS using the Stream Power Index (SPI). A field survey was conducted to verify the accuracy of the terrain analysis at identifying 391 gully and inlet locations. Sediment samples were collected from 44 inlets/gully locations and analyzed for soil texture, pH and conductivity to characterize the material being eroded and transported. The pH levels for the soil samples ranged from neutral to moderately alkaline and the EC values represented soils that were either non-saline or slightly saline. Sand was the dominant separate for both study areas. This study found that SPI signatures at or above critical erosion levels can be used to target precision conservation in individual fields adjacent to the Turtle and Forest rivers.
590 $a School code: 0156.
650 4 $a Geography. $3 524010
650 4 $a Geographic information science and geodesy. $3 2122917
650 4 $a Soil sciences. $3 2122699
650 4 $a Hydrologic sciences. $3 3168407
690 $a 0366
690 $a 0370
690 $a 0481
690 $a 0388
710 2 $a The University of North Dakota. $b Geography. $3 3180592
773 0 $t Masters Abstracts International $g 53-03(E).
790 $a 0156
791 $a M.S.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1560010