2018
DOI: 10.5194/hess-22-5111-2018
|View full text |Cite
|
Sign up to set email alerts
|

An improved method for calculating the regional crop water footprint based on a hydrological process analysis

Abstract: Abstract. Fresh water is consumed during agricultural production. With the shortage of water resources, assessing the water use efficiency is crucial to effectively manage agricultural water resources. The water footprint is an improved index for water use evaluation, and it can reflect the quantity and types of water usage during crop growth. This study aims to establish a method for calculating the regional-scale water footprint of crop production based on hydrological processes, and the water footprint is q… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
8
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(8 citation statements)
references
References 39 publications
0
8
0
Order By: Relevance
“…Alternatively in more recent years, other approaches have been adopted to estimate WF based on residually derived crop ET from soil or watershed water balances (Luan et al, ; Wang et al, ; Zhuo et al, ) or estimated via surface energy balance models using remote sensing products (Madugundu et al, ; Romaguera et al, ). The main challenges associated with these alternative approaches come from the difficulty of matching spatial and/or temporal resolution of crop ET estimates to the specific croplands and the uncertainties associated with their model inputs.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Alternatively in more recent years, other approaches have been adopted to estimate WF based on residually derived crop ET from soil or watershed water balances (Luan et al, ; Wang et al, ; Zhuo et al, ) or estimated via surface energy balance models using remote sensing products (Madugundu et al, ; Romaguera et al, ). The main challenges associated with these alternative approaches come from the difficulty of matching spatial and/or temporal resolution of crop ET estimates to the specific croplands and the uncertainties associated with their model inputs.…”
Section: Introductionmentioning
confidence: 99%
“…A detailed review of methods to estimate crop water use (CWU) or crop ET can be found in Allen et al (). In some studies, crop ET has been assumed to be equal to applied irrigation volumes (de Figueirêdo et al, ; Luan et al, ; Sun et al, ), which in turn impacts the reliability of WF estimates and results in disregarding of irrigation return flows, which are an important portion of the water cycle in agricultural settings. That is why empirical measurements of crop ET are key to providing realistic crop WFs that allow considering site‐specific meteorological and water availability conditions and permit accounting for irrigation return flows.…”
Section: Introductionmentioning
confidence: 99%
“…This possibility most often occurs when pumping groundwater by vertical drainage. Evaporation and seepage losses are also common for return flows (Luan et al, 2018).…”
Section: Field-scale: Water Losses From the Crop Fieldmentioning
confidence: 99%
“…CC BY 4.0 License. the irrigation technology (Luan et al, 2018). Traditionally, irrigation water losses in the supply chain were addressed under the classical approach of irrigation efficiency, which is the "ratio of water consumed by crops to total water withdrawals" (Israelsen, 1950).…”
Section: Introductionmentioning
confidence: 99%
“…Major grain-producing areas and water shortage areas are often used as hot spots for the quantitative study of AWF [20,21]. The Provinces (such as Central Kalimantan of Indonesia [22]), states (such as Pernambuco in Brazil [23]), or irrigation districts (such as Hetao Irrigation District in China [24]), have also been the focus of crop water footprint research. In addition, some scholars have studied the crop water footprint and its composition through field experimental observation and investigation [25,26].…”
Section: Introductionmentioning
confidence: 99%