Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach
Accurate assessment of water deficit and related uncertainties in water-scarce areas is strategically important in various fields of water resources management. This study developed a hybrid approach integrating conceptual water balance model and econometric regression to estimate water shortage and...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2012-12-01
|
Series: | Water Science and Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674237015302180 |
id |
doaj-3b6906df9dce42ae903720d126cc76e5 |
---|---|
record_format |
Article |
spelling |
doaj-3b6906df9dce42ae903720d126cc76e52020-11-25T00:43:25ZengElsevierWater Science and Engineering1674-23702012-12-015445046310.3882/j.issn.1674-2370.2012.04.009Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approachShou-ke Wei0Eawag, the Swiss Federal Institute of Aquatic Science and Technology, Dübendorf CH-8600, SwitzerlandAccurate assessment of water deficit and related uncertainties in water-scarce areas is strategically important in various fields of water resources management. This study developed a hybrid approach integrating conceptual water balance model and econometric regression to estimate water shortage and its related uncertainties in water-scarce areas. This hybrid approach was used to assess the agricultural water deficit of Beijing, an extremely water-scarce area in China. A predictive model of agricultural water demand was developed using the stepwise multiple regression method, and was validated by comparing the predicted values with observed data. Scenario analysis was employed to investigate the uncertainties of agricultural water shortage and agricultural water demand. This modeling approach can assist water administration in creating sustainable water allocation strategies in water-scarce areas.http://www.sciencedirect.com/science/article/pii/S1674237015302180water deficithybrid modelconceptual water balance modelstepwise multiple regression methoduncertaintyBeijing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shou-ke Wei |
spellingShingle |
Shou-ke Wei Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach Water Science and Engineering water deficit hybrid model conceptual water balance model stepwise multiple regression method uncertainty Beijing |
author_facet |
Shou-ke Wei |
author_sort |
Shou-ke Wei |
title |
Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach |
title_short |
Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach |
title_full |
Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach |
title_fullStr |
Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach |
title_full_unstemmed |
Estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach |
title_sort |
estimating water deficit and its uncertainties in water-scarce area using integrated modeling approach |
publisher |
Elsevier |
series |
Water Science and Engineering |
issn |
1674-2370 |
publishDate |
2012-12-01 |
description |
Accurate assessment of water deficit and related uncertainties in water-scarce areas is strategically important in various fields of water resources management. This study developed a hybrid approach integrating conceptual water balance model and econometric regression to estimate water shortage and its related uncertainties in water-scarce areas. This hybrid approach was used to assess the agricultural water deficit of Beijing, an extremely water-scarce area in China. A predictive model of agricultural water demand was developed using the stepwise multiple regression method, and was validated by comparing the predicted values with observed data. Scenario analysis was employed to investigate the uncertainties of agricultural water shortage and agricultural water demand. This modeling approach can assist water administration in creating sustainable water allocation strategies in water-scarce areas. |
topic |
water deficit hybrid model conceptual water balance model stepwise multiple regression method uncertainty Beijing |
url |
http://www.sciencedirect.com/science/article/pii/S1674237015302180 |
work_keys_str_mv |
AT shoukewei estimatingwaterdeficitanditsuncertaintiesinwaterscarceareausingintegratedmodelingapproach |
_version_ |
1725278371533815808 |