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

Modeling the effects of fire on stre...

McMichael, Christine Eleana.

Linked to FindBook

Google Book

Amazon

博客來

Modeling the effects of fire on streamflow in a chaparral watershed (California).

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling the effects of fire on streamflow in a chaparral watershed (California)./
Author:	McMichael, Christine Eleana.
Description:	216 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-07, Section: A, page: 2716.
Contained By:	Dissertation Abstracts International65-07A.
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3138738
ISBN:	0496858904

Modeling the effects of fire on streamflow in a chaparral watershed (California).
McMichael, Christine Eleana.

Modeling the effects of fire on streamflow in a chaparral watershed (California). - 216 p.

Source: Dissertation Abstracts International, Volume: 65-07, Section: A, page: 2716.

Thesis (Ph.D.)--University of California, Santa Barbara, 2004.

A comprehensive understanding of the effects of fire and post-fire succession on streamflow dynamics in California chaparral watersheds is needed to facilitate effective planning and management in these semi-arid shrublands. Watershed experiments have provided insights into the hydrologic effects of fire and post fire succession in chaparral watersheds, however extrapolation of these results is constrained by the small number of studies and the limited space and/or time scales examined. As it was not logistically or economically feasible to conduct additional field experiments for this research, an integrated remote sensing-distributed hydrological modeling strategy was utilized to advance our understanding of the effects of fire and post-fire succession on streamflow dynamics in these ecosystems. A wide range of inputs was derived for a modified version of the distributed, physically-based MIKE-SHE model using remote sensing and geographic information systems (GIS) techniques, including the development of a remote sensing-chronosequence approach for estimating the post-fire recovery sequence of chaparral leaf area index (a key input given that approximately 75% of incoming rainfall is returned to the atmosphere via evapotranspiration). The Monte Carlo-based Generalized Likelihood Uncertainty Estimation (GLUE) methodology provided the framework for model calibration, testing, and predictive uncertainty estimation. Model simulations were performed using a suite of fire size-weather regime combinations to investigate the impacts of fire on annual and seasonal streamflow dynamics.

ISBN: 0496858904Subjects--Topical Terms:

524010
Geography.

Modeling the effects of fire on streamflow in a chaparral watershed (California).
LDR:03457nmm 2200301 4500 001 1844838
005 20051017075520.5
008 130614s2004 eng d
020 $a 0496858904
035 $a (UnM)AAI3138738
035 $a AAI3138738
040 $a UnM $c UnM
100 1 $a McMichael, Christine Eleana. $3 1933022
245 1 0 $a Modeling the effects of fire on streamflow in a chaparral watershed (California).
300 $a 216 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-07, Section: A, page: 2716.
500 $a Chair: Allen S. Hope.
502 $a Thesis (Ph.D.)--University of California, Santa Barbara, 2004.
520 $a A comprehensive understanding of the effects of fire and post-fire succession on streamflow dynamics in California chaparral watersheds is needed to facilitate effective planning and management in these semi-arid shrublands. Watershed experiments have provided insights into the hydrologic effects of fire and post fire succession in chaparral watersheds, however extrapolation of these results is constrained by the small number of studies and the limited space and/or time scales examined. As it was not logistically or economically feasible to conduct additional field experiments for this research, an integrated remote sensing-distributed hydrological modeling strategy was utilized to advance our understanding of the effects of fire and post-fire succession on streamflow dynamics in these ecosystems. A wide range of inputs was derived for a modified version of the distributed, physically-based MIKE-SHE model using remote sensing and geographic information systems (GIS) techniques, including the development of a remote sensing-chronosequence approach for estimating the post-fire recovery sequence of chaparral leaf area index (a key input given that approximately 75% of incoming rainfall is returned to the atmosphere via evapotranspiration). The Monte Carlo-based Generalized Likelihood Uncertainty Estimation (GLUE) methodology provided the framework for model calibration, testing, and predictive uncertainty estimation. Model simulations were performed using a suite of fire size-weather regime combinations to investigate the impacts of fire on annual and seasonal streamflow dynamics.
520 $a Over two-thirds of the observations (comprising over 90% of the total observed flow) in the calibration and test periods were contained within the GLUE-based predictive uncertainty bounds, an acceptable level of model performance relative to total period flow; prediction errors were generally associated with large rainfall and fire events. Model simulation results demonstrated that seasonal and annual streamflow response increased approximately linearly with fire size under both the wet and dry weather regimes. Moreover, the sensitivity of streamflow response to fire size varied with annual rainfall condition and stand age. However, these predictions were largely indistinguishable from the predictive uncertainty associated with the calibrated model used to make them---highlighting the importance of analyzing hydrologic predictions for altered land cover conditions in the context of model uncertainty.
590 $a School code: 0035.
650 4 $a Geography. $3 524010
650 4 $a Hydrology. $3 545716
650 4 $a Remote Sensing. $3 1018559
690 $a 0366
690 $a 0388
690 $a 0799
710 2 0 $a University of California, Santa Barbara. $3 1017586
773 0 $t Dissertation Abstracts International $g 65-07A.
790 1 0 $a Hope, Allen S., $e advisor
790 $a 0035
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3138738