Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis. Issue 8 (22nd September 2014)
- Record Type:
- Journal Article
- Title:
- Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis. Issue 8 (22nd September 2014)
- Main Title:
- Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis
- Authors:
- Zuo, Depeng
Xu, Zongxue
Peng, Dingzhi
Song, Jinxi
Cheng, Lei
Wei, Shouke
Abbaspour, Karim C.
Yang, Hong - Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <p>Due to rapid socioeconomic development, continuous population growth and urbanization, the world is facing a severe shortage of fresh water, particularly in arid and semi‐arid regions. A lack of water will put pressure on agricultural production, water pollution, as well as eco‐environmental degradation. Traditional water resources assessment mainly focused on blue water, ignoring green water. Therefore, analysis of spatiotemporal distribution of blue and green water resources in arid and semi‐arid regions is of great significance for water resources planning and management, especially for harmonizing agricultural water use and eco‐environmental water requirements. This study applied the Soil and Water Assessment Tool (SWAT) model and the Sequential Uncertainty Fitting algorithm (SUFI‐2) to calibrate and validate the SWAT model based on river discharges in the Wei River, the largest tributary of the Yellow River in China. Uncertainty analysis was also performed to quantify the blue and green water resources availability at different spatial scales. The results showed that most parts of the Wei River basin (WRB) experienced a decrease in blue water resources during the recent 50 years with a minimum value in the 1990s. The decrease is particularly significant in the most southern part of the WRB (the Guanzhong Plain), one of the most important grain production bases in China. Variations of green water flow and green<abstract abstract-type="main"> <title>Abstract</title> <p>Due to rapid socioeconomic development, continuous population growth and urbanization, the world is facing a severe shortage of fresh water, particularly in arid and semi‐arid regions. A lack of water will put pressure on agricultural production, water pollution, as well as eco‐environmental degradation. Traditional water resources assessment mainly focused on blue water, ignoring green water. Therefore, analysis of spatiotemporal distribution of blue and green water resources in arid and semi‐arid regions is of great significance for water resources planning and management, especially for harmonizing agricultural water use and eco‐environmental water requirements. This study applied the Soil and Water Assessment Tool (SWAT) model and the Sequential Uncertainty Fitting algorithm (SUFI‐2) to calibrate and validate the SWAT model based on river discharges in the Wei River, the largest tributary of the Yellow River in China. Uncertainty analysis was also performed to quantify the blue and green water resources availability at different spatial scales. The results showed that most parts of the Wei River basin (WRB) experienced a decrease in blue water resources during the recent 50 years with a minimum value in the 1990s. The decrease is particularly significant in the most southern part of the WRB (the Guanzhong Plain), one of the most important grain production bases in China. Variations of green water flow and green water storage were relatively small both on spatial and temporal dimensions. This study provides strategic information for optimal utilization of water resources in arid and semi‐arid river basin. Copyright © 2014 John Wiley &amp; Sons, Ltd.</p> </abstract> … (more)
- Is Part Of:
- Hydrological processes. Volume 29:Issue 8(2015:Apr.)
- Journal:
- Hydrological processes
- Issue:
- Volume 29:Issue 8(2015:Apr.)
- Issue Display:
- Volume 29, Issue 8 (2015)
- Year:
- 2015
- Volume:
- 29
- Issue:
- 8
- Issue Sort Value:
- 2015-0029-0008-0000
- Page Start:
- 1942
- Page End:
- 1955
- Publication Date:
- 2014-09-22
- Subjects:
- Hydrology -- Periodicals
Hydrology -- Research -- Periodicals
Hydrologic models -- Periodicals
Hydrological forecasting -- Periodicals
631.432 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/hyp.10307 ↗
- Languages:
- English
- ISSNs:
- 0885-6087
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4347.625600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4166.xml