2012
DOI: 10.5194/hess-16-2771-2012
|View full text |Cite
|
Sign up to set email alerts
|

Assessing water footprint at river basin level: a case study for the Heihe River Basin in northwest China

Abstract: Abstract. Increasing water scarcity places considerable importance on the quantification of water footprint (WF) at different levels. Despite progress made previously, there are still very few WF studies focusing on specific river basins, especially for those in arid and semi-arid regions. The aim of this study is to quantify WF within the Heihe River Basin (HRB), a basin located in the arid and semi-arid northwest of China. The findings show that the WF was 1768 million m 3 yr −1 in the HRB over [2004][2005][… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
86
0
3

Year Published

2012
2012
2022
2022

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 191 publications
(90 citation statements)
references
References 44 publications
1
86
0
3
Order By: Relevance
“…Aldaya and Llamas, 2008;Zeng et al, 2012;Sun et al,referring to an average value for a certain area and period. However, the water footprint of a crop is always estimated based on a large set of assumptions with respect to the modelling approach, parameter values, and data sets for input variables used, so that outcomes carry substantial uncertainties (Mekonnen and Hoekstra, 2010;Hoekstra et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Aldaya and Llamas, 2008;Zeng et al, 2012;Sun et al,referring to an average value for a certain area and period. However, the water footprint of a crop is always estimated based on a large set of assumptions with respect to the modelling approach, parameter values, and data sets for input variables used, so that outcomes carry substantial uncertainties (Mekonnen and Hoekstra, 2010;Hoekstra et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…2.2 and 2.3 are all based on annual data (i.e., the evaporation rates and power production are both annual numbers). This is not always explicitly expressed, and there are studies calculating the water footprint on a monthly basis (e.g., Zeng et al, 2012;Hoekstra et al, 2012). As the periodicity is important to consider, an example derived from the work of Yesuf (2012) is presented (Fig.…”
Section: Setting the Temporal Boundariesmentioning
confidence: 99%
“…Zeng et al (2012) demonstrates the water footprint sustainability assessment, defined by Hoekstra et al (2011) on a river basin level, where a "sustainability concern" should be raised when the water footprint exceeds the available blue water component (Hoekstra et al, 2011). The blue water is defined as the blue water resources under natural conditions and without human intervention, subtracted the environmental flow requirements.…”
Section: The Water Footprint Concept and Its Lack Of Connection To Immentioning
confidence: 99%
“…Therefore, the fully physically-based evapotranspiration model that captures main meteorological variables in its formation is more desirable (McVicar et al, 2012a), particularly for evaluating the vegetation ecohydrological responses to changing climates (Tan, 2007;Donohue et al, 2009;Scheiter and Higgins, 2009;Donohue et al, 2012). Vegetation change in coverage or composition and their relationships with local or regional water balance have been extensively studied at different spatial scales (Niehoff et al, 2002;Hundecha and Bárdossy, 2004;Sun et al, 2005Sun et al, , 2006Zhang and Schilling, 2006;McVicar et al, 2007;Wei and Zhang, 2010;Zeng et al, 2012;Zang et al, 2012), particularly with dramatic forest disturbance such as intensive logging (Zhang et al, 1999;Andréassian, 2004;Brown et al, 2005) or forest fires (Lavabre et al, 1993). These significant forest disturbances dramatically change the vegetation coverage and consequently alter the hydrological processes.…”
Section: P Sun Et Al: Climate Change Growing Season Water Deficit mentioning
confidence: 99%