語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Water resources management." ]
切換:
標籤
|
MARC模式
|
ISBD
Understanding Groundwater Variabilit...
~
Rother, David E.
FindBook
Google Book
Amazon
博客來
Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California./
作者:
Rother, David E.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
60 p.
附註:
Source: Masters Abstracts International, Volume: 58-01.
Contained By:
Masters Abstracts International58-01(E).
標題:
Geography. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10928433
ISBN:
9780438270633
Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.
Rother, David E.
Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 60 p.
Source: Masters Abstracts International, Volume: 58-01.
Thesis (M.S.)--San Diego State University, 2018.
This thesis details the development, calibration, and application of an atmosphere-landgroundwater model that is used to simulate groundwater storage change in southern California between November 2005 and December 2016. The model consists of three separate components: the Weather Research and Forecasting (WRF) atmospheric model, the Simplified Simple Biosphere (SSiB) model, and a modified version of the Simple Groundwater Model (SIMGM). A full coupling of the WRF/SSiB/SIMGM allows for a complete simulation of the physical and biophysical processes that influence groundwater storage, as well as their interactions with regional climate. The primary dataset used to validate the results of the model is of terrestrial water storage provided by NASA's Gravity Recovery and Climate Experiment (GRACE) satellites. The analysis of in-situ USGS groundwater well water table depth measurements indicate that GRACE adequately represents groundwater storage fluctuations in the region. A series of physics scheme combinations within the WRF model were tested to determine which most accurately simulated patterns of precipitation and temperature during November 2005 - February 2006. Further sensitivity tests were performed on the SSiB/SIMGM model, specifically on the equation representing groundwater discharge. Time series analyses comparing the atmosphere-land-groundwater model and GRACE observational data suggest that the model tends to simulate terrestrial water storage more accurately during wet periods than in dry, however, it underestimated the intensity of the negative groundwater anomaly compared to the offline model. The statistical tests used to evaluate the model's performance, including mean bias and correlation, indicate that the WRF/SSiB/SIMGM coupled model captured precipitation and temperature with good accuracy, however, the model underestimated the drought signal displayed in the GRACE terrestrial water storage dataset. Overestimation of precipitation over Arizona and along California's south-eastern border was the primary cause of excess soil moisture and water storage in these areas.
ISBN: 9780438270633Subjects--Topical Terms:
524010
Geography.
Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.
LDR
:03064nmm a2200301 4500
001
2201245
005
20190405084502.5
008
201008s2018 ||||||||||||||||| ||eng d
020
$a
9780438270633
035
$a
(MiAaPQ)AAI10928433
035
$a
(MiAaPQ)sdsu:12317
035
$a
AAI10928433
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Rother, David E.
$3
3427974
245
1 0
$a
Understanding Groundwater Variability: Modeling Groundwater Storage Change in Southern California.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
60 p.
500
$a
Source: Masters Abstracts International, Volume: 58-01.
500
$a
Adviser: Fernando De Sales.
502
$a
Thesis (M.S.)--San Diego State University, 2018.
520
$a
This thesis details the development, calibration, and application of an atmosphere-landgroundwater model that is used to simulate groundwater storage change in southern California between November 2005 and December 2016. The model consists of three separate components: the Weather Research and Forecasting (WRF) atmospheric model, the Simplified Simple Biosphere (SSiB) model, and a modified version of the Simple Groundwater Model (SIMGM). A full coupling of the WRF/SSiB/SIMGM allows for a complete simulation of the physical and biophysical processes that influence groundwater storage, as well as their interactions with regional climate. The primary dataset used to validate the results of the model is of terrestrial water storage provided by NASA's Gravity Recovery and Climate Experiment (GRACE) satellites. The analysis of in-situ USGS groundwater well water table depth measurements indicate that GRACE adequately represents groundwater storage fluctuations in the region. A series of physics scheme combinations within the WRF model were tested to determine which most accurately simulated patterns of precipitation and temperature during November 2005 - February 2006. Further sensitivity tests were performed on the SSiB/SIMGM model, specifically on the equation representing groundwater discharge. Time series analyses comparing the atmosphere-land-groundwater model and GRACE observational data suggest that the model tends to simulate terrestrial water storage more accurately during wet periods than in dry, however, it underestimated the intensity of the negative groundwater anomaly compared to the offline model. The statistical tests used to evaluate the model's performance, including mean bias and correlation, indicate that the WRF/SSiB/SIMGM coupled model captured precipitation and temperature with good accuracy, however, the model underestimated the drought signal displayed in the GRACE terrestrial water storage dataset. Overestimation of precipitation over Arizona and along California's south-eastern border was the primary cause of excess soil moisture and water storage in these areas.
590
$a
School code: 0220.
650
4
$a
Geography.
$3
524010
650
4
$a
Water resources management.
$3
794747
690
$a
0366
690
$a
0595
710
2
$a
San Diego State University.
$b
Geography.
$3
3177545
773
0
$t
Masters Abstracts International
$g
58-01(E).
790
$a
0220
791
$a
M.S.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10928433
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9377794
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入