東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Evaluating the historical impacts of...

Goss, Alison Meredith.

FindBook

Google Book

Amazon

博客來

Evaluating the historical impacts of landscape transformation on hydrologic fluxes for environmental assessment and modeling.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Evaluating the historical impacts of landscape transformation on hydrologic fluxes for environmental assessment and modeling./
作者:	Goss, Alison Meredith.
面頁冊數:	236 p.
附註:	Adviser: Jonathan M. Harbor.
Contained By:	Dissertation Abstracts International68-10B.
標題:	Environmental Sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3287268
ISBN:	9780549303299

Evaluating the historical impacts of landscape transformation on hydrologic fluxes for environmental assessment and modeling.
Goss, Alison Meredith.

Evaluating the historical impacts of landscape transformation on hydrologic fluxes for environmental assessment and modeling. - 236 p.

Adviser: Jonathan M. Harbor.

Thesis (Ph.D.)--Purdue University, 2007.

Land use/cover change can have a profound impact on the hydrologic cycle, with significant consequences for both water resources management and ecosystem services. However, a lack of concurrent land use/cover and water flux data for large watersheds over historical time scales has largely prevented scientists and water resource managers from being able to perform detailed hydrologic analyses spanning 50 or more years.

ISBN: 9780549303299Subjects--Topical Terms:

676987
Environmental Sciences.

Evaluating the historical impacts of landscape transformation on hydrologic fluxes for environmental assessment and modeling.
LDR:03099nam 2200313 a 45 001 962792
005 20110830
008 110831s2007 ||||||||||||||||| ||eng d
020 $a 9780549303299
035 $a (UMI)AAI3287268
035 $a AAI3287268
040 $a UMI $c UMI
100 1 $a Goss, Alison Meredith. $3 1285852
245 1 0 $a Evaluating the historical impacts of landscape transformation on hydrologic fluxes for environmental assessment and modeling.
300 $a 236 p.
500 $a Adviser: Jonathan M. Harbor.
500 $a Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6556.
502 $a Thesis (Ph.D.)--Purdue University, 2007.
520 $a Land use/cover change can have a profound impact on the hydrologic cycle, with significant consequences for both water resources management and ecosystem services. However, a lack of concurrent land use/cover and water flux data for large watersheds over historical time scales has largely prevented scientists and water resource managers from being able to perform detailed hydrologic analyses spanning 50 or more years.
520 $a To overcome the limitations provided by a lack of historical land use/cover data, a "backcast" method was developed to estimate historical land cover using proxies from U.S. Census data and agricultural statistics. This backcasting method was applied to the Muskegon River Watershed in southwestern Michigan. Land cover backcasts from 1910 to 1978 were then used as inputs into a macroscale water and energy balance model, the Variable Infiltration Capacity (VIC) model. Model results for simulations run using identical climate records but different land cover data suggest that widespread agricultural abandonment and afforestation have dramatically altered the seasonal water balance of the basin. Also, urbanization over the last century has changed the ratio of stream flow provided by overland flow versus near surface baseflow. However, despite strong patterns of change at sub-watershed scales, the model predicted no significant overall change in mean monthly or annual stream flow for the watershed as a whole. Thus water resources managers focusing solely on watershed-scale stream flow for impact assessment would not detect fundamental alterations in the water balance of the region.
520 $a Future refinements of the method developed here to analyze the hydrologic dynamics of large watersheds will include modification of proxy datasets used to backcast land cover change and enhancement of the parameterization of vegetation and urban areas within the hydrologic model. Overall, this approach allows water resource managers to develop large-scale assessments of hydrologic changes resulting from land cover variations, using data that are available for most large watersheds in the U.S.
590 $a School code: 0183.
650 4 $a Environmental Sciences. $3 676987
650 4 $a Hydrology. $3 545716
650 4 $a Physical Geography. $3 893400
690 $a 0368
690 $a 0388
690 $a 0768
710 2 $a Purdue University. $b Earth and Atmospheric Sciences. $3 1019119
773 0 $t Dissertation Abstracts International $g 68-10B.
790 $a 0183
790 1 0 $a Harbor, Jonathan M., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3287268