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Using GIS to Compare Leading Process and Empirically Based Soil Erosion Models within Headwater Watersheds.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using GIS to Compare Leading Process and Empirically Based Soil Erosion Models within Headwater Watersheds./
作者:	Arkowitz, Alexander Peri.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	95 p.
附註:	Source: Masters Abstracts International, Volume: 78-12.
Contained By:	Masters Abstracts International78-12.
標題:	Geographic information science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10283074
ISBN:	9781369834741

Using GIS to Compare Leading Process and Empirically Based Soil Erosion Models within Headwater Watersheds.
Arkowitz, Alexander Peri.

Using GIS to Compare Leading Process and Empirically Based Soil Erosion Models within Headwater Watersheds. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 95 p.

Source: Masters Abstracts International, Volume: 78-12.

Thesis (M.S.)--Northern Arizona University, 2017.

This item must not be added to any third party search indexes.

Changes in North American ponderosa pine ecosystems in relation to wildland fire severity are taking place due to human influence and the tools to asses these changes vary greatly. These fires alter the types of vegetation and cause severe erosion events, as well as make freshwater resources harder to manage in headwater watersheds. The purpose of this study is to analyze and investigate the differences of the two leading GIS based soil erosion models, the Revised Universal Soil Loss Equation (RUSLE) and the Water Erosion Prediction Project (WEPP). In particular, the models will be compared to address which one better predicts the state of two neighboring watersheds that endured the same high severity burn and flooding events. These watersheds reacted differently as noted by the streambed composition. Parameters were created using a land manager's approach. The results of this study found that the process-based WEPP model outperforms the RUSLE model in its ability to assess post-burn flooding events through its ease of implementation and inclusion of climate and erosion processes in complex topography and therefore should be used by land managers interested in studying erosion events in similar circumstances.

ISBN: 9781369834741Subjects--Topical Terms:

3432445
Geographic information science.
Subjects--Index Terms:

Flooding

Using GIS to Compare Leading Process and Empirically Based Soil Erosion Models within Headwater Watersheds.
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245 1 0 $a Using GIS to Compare Leading Process and Empirically Based Soil Erosion Models within Headwater Watersheds.
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300 $a 95 p.
500 $a Source: Masters Abstracts International, Volume: 78-12.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Manone, Mark.
502 $a Thesis (M.S.)--Northern Arizona University, 2017.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a Changes in North American ponderosa pine ecosystems in relation to wildland fire severity are taking place due to human influence and the tools to asses these changes vary greatly. These fires alter the types of vegetation and cause severe erosion events, as well as make freshwater resources harder to manage in headwater watersheds. The purpose of this study is to analyze and investigate the differences of the two leading GIS based soil erosion models, the Revised Universal Soil Loss Equation (RUSLE) and the Water Erosion Prediction Project (WEPP). In particular, the models will be compared to address which one better predicts the state of two neighboring watersheds that endured the same high severity burn and flooding events. These watersheds reacted differently as noted by the streambed composition. Parameters were created using a land manager's approach. The results of this study found that the process-based WEPP model outperforms the RUSLE model in its ability to assess post-burn flooding events through its ease of implementation and inclusion of climate and erosion processes in complex topography and therefore should be used by land managers interested in studying erosion events in similar circumstances.
590 $a School code: 0391.
650 4 $a Geographic information science. $3 3432445
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Natural Resource Management. $3 676989
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653 $a Modeling
653 $a Ponderosa pine
653 $a RUSLE
653 $a Soil erosion
653 $a WEPP
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690 $a 0388
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793 $a English
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