Spatial-temporal variations in green, blue and gray water footprints of crops: how do socioeconomic drivers influence? DOI Creative Commons
Mengmeng Hu, Wenbin Wu, Qiangyi Yu

и другие.

Environmental Research Letters, Год журнала: 2022, Номер 17(12), С. 124024 - 124024

Опубликована: Ноя. 22, 2022

Abstract Nowadays, more than 70% of global freshwater is used for agriculture. The evaluation the water footprint crops (CWFs) an important method to measure effects crop production on resource utilization and environmental pollution. However, little attention paid impact socioeconomic development differences each crop. In this study, green, blue, gray footprints were quantified, drivers changes in CWFs revealed. It great significance provide targeted guidance agricultural management Heilongjiang, a province with largest China. Here, we show that total (TWF) increased from 62.2 billion m 3 101.8 , high-value areas mainly concentrated west south Heilongjiang Province. Over 95% grain sown covered by maize, rice soybean, which presented greatest TWF. share green TWF has increased, growth increasingly dependent rainfall. Furthermore, our results highlight effective irrigated quota crop-planting scale maize contribute increase. value-added score weakly decoupling most municipalities, indicating improved efficiency use; growing slower economy, undesirable. Changes same as left half inverted ‘ U ‘Environmental Kuznets Curve’, not reached ‘inflection point’. More efforts control while improving are needed ensure economic does come at expense consuming enormous quantities water.

Язык: Английский

An empirical analysis of carbon emission efficiency in food production across the Yangtze River basin: Towards sustainable agricultural development and carbon neutrality DOI
Ehsan Elahi, Min Zhu, Zainab Khalid

и другие.

Agricultural Systems, Год журнала: 2024, Номер 218, С. 103994 - 103994

Опубликована: Май 14, 2024

Язык: Английский

Процитировано

35

Agricultural water and land resources allocation considering carbon sink/source and water scarcity/degradation footprint DOI
Hui Wu, Shanshan Guo, Ping Guo

и другие.

The Science of The Total Environment, Год журнала: 2021, Номер 819, С. 152058 - 152058

Опубликована: Ноя. 30, 2021

Язык: Английский

Процитировано

65

Cross-regional ecological compensation under the composite index of water quality and quantity: A case study of the Yellow River Basin DOI
Hao Hu, Guiliang Tian, Zheng Wu

и другие.

Environmental Research, Год журнала: 2023, Номер 238, С. 117152 - 117152

Опубликована: Сен. 17, 2023

Язык: Английский

Процитировано

30

Dynamic simulation and coupling coordination evaluation of water footprint sustainability system in Heilongjiang province, China: A combined system dynamics and coupled coordination degree model DOI
Lili Jiang,

Yunxing Wu,

Xiaolong He

и другие.

Journal of Cleaner Production, Год журнала: 2022, Номер 380, С. 135044 - 135044

Опубликована: Ноя. 3, 2022

Язык: Английский

Процитировано

35

The response of non-point source pollution to land use change and risk assessment based on model simulation and grey water footprint theory in an agricultural river basin of Yangtze River, China DOI Creative Commons
Depeng Zuo,

Yiqing Bi,

Yonghui Song

и другие.

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110581 - 110581

Опубликована: Июль 2, 2023

Non-point source (NPS) pollution has gradually become the main of water environmental with rapid economic development during recent decades, especially for economically developed Yangtze River Basin China. Due to urbanization, pressure environment in Poyang Lake basin (PYLB) been increasing. In this study, spatial and temporal variations NPS loads including total nitrogen (TN) phosphorus (TP) PYLB period 2003–2012 were firstly investigated by using SWAT; then changes under different land use types identified SWAT, transition matrix, statistical analysis scenario methods; finally, risk assessment achieved means grey footprint theory. The results showed that concentrated from April June a large inter-annual variability. Gan contributed largest proportion pollutants entering into lake while Xiu produced smallest loads. Under background policy "Grain Green Project" since 2002, areas cultivated land, grassland bare decreased 2000–2010, those forest settlement increased. As pollution, area decreased, unit load intensity significantly By calculating annual GWF TN TP their corresponding WPL, which all an upward trend. obtained study have practical significance reducing controlling River.

Язык: Английский

Процитировано

21

Three-dimensional agricultural water scarcity assessment based on water footprint: A study from a humid agricultural area in China DOI
Yun‐An Yan, Run Wang, Si Chen

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159407 - 159407

Опубликована: Окт. 13, 2022

Язык: Английский

Процитировано

26

Spatial-temporal evolution and driving factors of grey water footprint efficiency in the Yangtze River Economic Belt DOI
Changxin Xu, Yu Liu,

Tianbo Fu

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 844, С. 156930 - 156930

Опубликована: Июнь 23, 2022

Язык: Английский

Процитировано

25

Quantitative analysis of spatiotemporal disparity of urban water use efficiency and its driving factors in the Yangtze River Economic Belt, China DOI Creative Commons
Renke Ji, Chao Wang, Peng Wang

и другие.

Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 51, С. 101647 - 101647

Опубликована: Янв. 10, 2024

Yangtze River Economic Belt, China As the major national strategic development area of China, there have always been vital problems about imbalance water resources distribution and disparity economic levels in YREB. Quantitative analysis use efficiency (WUE) is essential to rational resources, as well sustainable development. In this study, a WUE evaluation index system for prefecture-level cities YREB was constructed, Super-Efficiency Data envelopment Slacks-Based Measure (DEA-SBM) model, Global Malmquist-Luenberger productivity index, combined with geographically weighted regression model were utilized measure identify spatiotemporal evolution characteristics its influencing factors. From temporal perspective, manifests significant upward trend from 2005 2020, growth presents lower reach > middle upper reach; spatial pattern, has divergence characteristics, high mainly occurred developed leading cities, while developing midstream upstream tended be inefficient; various effects on also analyzed, highlighting that technical advancement key driver evolution. Then negative industrial structure urban environment becoming more significant. Finally, effective measures upstream, downstream discussed.

Язык: Английский

Процитировано

6

Dynamic simulation of the water-energy-food nexus (WEFN) based on a new nexus in arid zone: A case study in Ningxia, China DOI
Haiyan Gao, Xiaopeng Liu, Wei Li

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 898, С. 165593 - 165593

Опубликована: Июль 18, 2023

Язык: Английский

Процитировано

13

Quantification and Evaluation of Grey Water Footprint in Yantai DOI Open Access
Xue Meng, Jian Lü, Jun Wu

и другие.

Water, Год журнала: 2022, Номер 14(12), С. 1893 - 1893

Опубликована: Июнь 12, 2022

Problems such as water scarcity and pollution frequently occur in coastal zones. This study investigated the grey footprint sustainability intensity of Yantai between 2014 2019 by taking both surface groundwater into consideration. The research results indicated that firstly increased then decreased 2019. lowest was 744 million m3. agricultural accounted for a large proportion total footprint. Although fluctuates Yantai, it maintains well. gradually to <10 m3/10,000 CNY. economic benefit utilization efficiency resources have been improved yearly. quality environment has also improved. this paper provides some useful information protection sustainable cities.

Язык: Английский

Процитировано

19