2020
DOI: 10.1029/2020jd033380
|View full text |Cite
|
Sign up to set email alerts
|

Rapid Urbanization and Agricultural Intensification Increase Regional Evaporative Water Consumption of the Loess Plateau

Abstract: Changing evapotranspiration (ET) will impact freshwater availability, knowledge of which is a critical prerequisite for policy development related to water resources management in an evolving climate, especially for water-limited regions. However, the socioeconomic effects are not considered due to the lack of detailed information about this. Here we used a well-validated remote sensing model and multiple socioeconomic factors to investigate the driving factors of ET changes over the Loess Plateau during 1982-… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
11
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1
1

Relationship

2
6

Authors

Journals

citations
Cited by 22 publications
(12 citation statements)
references
References 120 publications
1
11
0
Order By: Relevance
“…However, other factors, such as the precipitation, carbon dioxide concentration, and water use efficiency, may also have played an important role in driving E change during the study period. As reported by Liang et al (2020), the rapid urbanization and agricultural intensification have significantly promoted the E during the past several decades in the Loess Plateau region. Jiang et al (2020) also found that the precipitation and relative humidity played an important role in E changes in the YRB during the period of 1981-2010.…”
Section: Discussionmentioning
confidence: 91%
See 1 more Smart Citation
“…However, other factors, such as the precipitation, carbon dioxide concentration, and water use efficiency, may also have played an important role in driving E change during the study period. As reported by Liang et al (2020), the rapid urbanization and agricultural intensification have significantly promoted the E during the past several decades in the Loess Plateau region. Jiang et al (2020) also found that the precipitation and relative humidity played an important role in E changes in the YRB during the period of 1981-2010.…”
Section: Discussionmentioning
confidence: 91%
“…With the rapid intensification of climate change and human activities, water shortage has become one of the most serious threats to sustainable development in the YRB (McVicar et al, 2007;Feng et al, 2016). Many studies have investigated the nature and human-induced changes in P (Wang et al, 2021;Zhang et al, 2021) and E in the region (Shao et al, 2019;Jiang et al, 2020;Liang et al, 2020). However, few studies have investigated the water availability over the dry season.…”
Section: Introductionmentioning
confidence: 99%
“…As such, an increase in forest area would not affect runoff because the basin was still limited by water supply for HRB (Budyko, 1974; H. Yang et al., 2008). On the other hand, the absolute forest area was relatively small for WRB and HRB (Table 1), and therefore other land use changes such as agricultural practices and urbanization may also contribute to the runoff changes (e.g., Feng et al., 2016; Liang et al., 2020). Thus, exploration of the individual influences by these factors in future research can benefit from better understanding of the hydrological response for these two basins.…”
Section: Discussionmentioning
confidence: 99%
“…One with real E estimation with all varied climate variables and dynamic LAI and five control modelling experiments, which fixed only one contributing variable (i.e., Ta, LAI, VPD, Rn, and Wn) as the mean values during the period of 1982-1985 in each modelling experiment (Liang et al, 2020). This time series represented the mean climate and vegetation conditions of the 1980s.…”
Section: Attribution Methodsmentioning
confidence: 99%
“…We chose a relatively short period (4 years) as the control period because we tried to keep original trends and variations of both climate and vegetation. The differences between the real and control experiments highlight the contributions of controlled variables to the total E changes (Liang et al, 2020;Zhang et al, 2020). For example, the main effects of Ta are calculated as:…”
Section: Attribution Methodsmentioning
confidence: 99%