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

Agricultural Water Utilization Efficiency in China: Evaluation, Spatial Differences, and Related Factors DOI Open Access
Kai Liu,

Yuting Xue,

Lan Yu

и другие.

Water, Год журнала: 2022, Номер 14(5), С. 684 - 684

Опубликована: Фев. 22, 2022

Agricultural water utilization efficiency (AWUE) reflects the rational of resources in agricultural production. Improving AWUE is important for both improving levels production and reducing consumption resources, it significant to explore spatial differences between different cities regions various factors related AWUE, theoretically practically. The totally 281 at prefecture level or above China 2003 2018 was evaluated using super-efficiency slacks-based measure (SBM). were simulated by exploratory data analysis (ESDA), affecting graphical statistical tool, Geodetector. results this study are as follows: (1) mean value across country merely 0.23 when registered a record high 2018, indicating that low; (2) showed judging from ESDA, low-low type principal type, which distributed mainly North Plain Loess Plateau; (3) technology main factor AWUE.

Язык: Английский

Процитировано

11

Distribution and drivers for blue water dependence in crop production in China, 1999–2018 DOI Creative Commons
Nan Wu, Jianyun Zhang,

Xinyu Gao

и другие.

Agricultural Water Management, Год журнала: 2023, Номер 290, С. 108593 - 108593

Опубликована: Ноя. 16, 2023

The process of blue water used in crop cultivation has both natural and economic properties due to the intervention irrigation facilities. This study revealed use (CWU) from 1999 2018 each province China based on footprint theory, then established dependence index (BDI) evaluate agricultural perspective withdraw, conducted a spatial temporal pattern analysis.The influencing factors structural pathways BDI were explored using least squares equation modeling (PLS-SEM) at national regional scales. Results indicated that annual amount for production exceeded 900.0 Gm³. growth CWU cash crops grain was 145.4 Gm³ 74.4 Gm³, respectively.BDI all 0.281 over period China, with being 2.6 times more dependent resources than crops. Xinjiang, average 0.716, 0.805, 0.620 all, crops, respectively, highest demand. PLS-SEM results showed significant causal relationship between economy BDI, obvious differences path analysis. Based analysis use, regions can adjust structure cultivation, optimize allocation soil resources, expand fodder grains promote steady growth, achieve "win-win" situation ensuring food security sustainable resources.

Язык: Английский

Процитировано

6

Spatiotemporal Distribution of Irrigation Water Use Efficiency from the Perspective of Water Footprints in Heilongjiang Province DOI Open Access
Wei Liu,

Ziao Ma,

Bo Lei

и другие.

Water, Год журнала: 2022, Номер 14(8), С. 1232 - 1232

Опубликована: Апрель 12, 2022

Water footprints can reflect the sources and utilities of water resources. Introducing footprint theory to evaluate irrigation use efficiency agricultural consumption more scientifically accurately. This study analyzes variation trends blue, green gray grains in different regions Heilongjiang Province selects grain-sowing area, total machinery power, grain blue absolute fertilizer amount as input indexes gross product output indexes. A slacks-based measure–data envelopment analysis (SBM-DEA) model is used estimate efficiencies 11 cities Province, analyze corresponding spatiotemporal distribution further decompose calculate five economically underdeveloped second-level cities. The results suggest that spatial reflects coexisting areas excess scarcity. showed a steady slow downward trend from 2008 2018. reflected significant differences with pattern high values southwest low northeast; these have gradually narrowed. average was 0.821 Harbin, Qiqihar Jixi were at forefront province. Jiamusi, Hegang, Shuangyashan, Yichun, Mudanjiang are below-provincial-average efficiencies. mainly depends on pure technical efficiency. In future, inputs should be improved basis optimizing production layout, focusing improving research obtained herein provide theoretical for management Province.

Язык: Английский

Процитировано

9

Exploring the Regional Coordination Relationship between Water Utilization and Urbanization Based on Decoupling Analysis: A Case Study of the Beijing–Tianjin–Hebei Region DOI Open Access

Ruihua Shen,

Lei Yao

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(11), С. 6793 - 6793

Опубликована: Июнь 1, 2022

Understanding the potential association between urbanization process and regional water shortage/pollution is conducive to promoting intensive utilization of local resources. In this study, footprint model was used estimate status in terms both quantity (virtual (VWF)) quality (grey (GWF)) Beijing–Tianjin–Hebei region (China) during 2004–2017. Their coordination relationship with represented by gross domestic product (GDP), population (POP), built-up area (BA) examined using Tapio decoupling model. The results showed that from 2004 2017, (1) VWF Beijing Tianjin non-significant decreasing trends, reductions 1.08 × 109 1.56 m3, respectively, while Hebei a significant increasing trend, an increase 5.74 m3. This indicated gradually demand Tianjin. all three regions, agricultural sector accounted for relatively high proportion compared other sectors. (2) GWF Beijing, Tianjin, declining 2.19 1010, 2.32 1.66 1011 indicating considerable improvement. contributed as main component agriculture contributor Hebei. major transitioned (before 2015) sector. (3) We found good GDP their economic development no longer overly dependent on consumption. However, expansion urban or would bring about accelerated depletion (4) provinces GDP, POP, BA most years, implying strongly caused pollution sum, policymakers should focus improving irrigation efficiency residents’ awareness conservation, so achieve sustainable resource management BTH region.

Язык: Английский

Процитировано

9

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

Процитировано

8