Impact of shale gas development on regional water resources in China from water footprint assessment view

2019 ◽  
Vol 679 ◽  
pp. 317-327 ◽  
Author(s):  
Xiaomin Xie ◽  
Tingting Zhang ◽  
Michael Wang ◽  
Zhen Huang
Keyword(s):  
Water Resources ◽  
Shale Gas ◽  
Water Footprint ◽  
Regional Water

Analysis of Water Sustainable Utilization in Changsha City Based on Water Footprint Theory

2014 ◽  
Vol 694 ◽  
pp. 532-535
Author(s):  
Lin Wu
Keyword(s):  
Water Resources ◽  
Water Footprint ◽  
Supply And Demand ◽  
Sustainable Utilization ◽  
Self Sufficiency ◽  
Changsha City ◽  
Water Resources Sustainable Utilization ◽  
External Dependence ◽  
Efficiency Indicators ◽  
Regional Water

Water footprint theory and method was used to estimate the water footprint of Changsha City in 2009-2012. Based on the estimate of the regional water footprint structure, efficiency indicators of regional water footprint, indicators of water resources sustainable utilization, the water resources utilization status and sustainability was analyzed in Changsha. The results showed that the water footprint and water self-sufficiency rate of Changsha City remained relatively stable in 2009-2012. There not the presence of external dependence of water resources. However, due to the acute annual changes in water resources, Changsha City is still in the imbalance risk of water supply and demand.

scholarly journals Sustainability Assessment of Water Resources in Beijing

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1999
Author(s):  
Haijiao Yu ◽  
Zihan Yang ◽  
Bo Li
Keyword(s):  
Water Resources ◽  
Sustainability Assessment ◽  
Water Footprint ◽  
Water System ◽  
Environmental Water ◽  
Entropy Method ◽  
Water Resource System ◽  
Regional Sustainable Development ◽  
Development Plans ◽  
Regional Water

A sustainability assessment of water resources is essential for maintaining regional sustainable development. In this study, a comprehensive assessment of changes in the sustainability of the water resource system in Beijing from 2008 to 2018 was conducted on the basis of the driver-pressure-state-impact-response (DPSIR) model. To reflect the impacts of humans on the water consumption and pollution of water resources, the water footprint was considered. In addition, key factors that affect the sustainability of water resources were filtered by the modified entropy method. The results indicated that all drivers, pressures, states, impacts, and responses demonstrated increasing tendencies. As a result, a remarkable improvement in the sustainability of the water system, which was mitigated from an alert state to a good state, was achieved due to the comprehensive effect of the indexes. From these results, we inferred that the sustainability of regional water resources could only be achieved through a comprehensive consideration of regional social, economic, and environmental water systems and climate change. Therefore, formulating medium- and long-term urban, economic, and water development plans and adjusting medium- and short-term water utilization programs could contribute to the sustainable utilization of regional water resources.

scholarly journals Risk Assessment and Pressure Response Analysis of the Water Footprint of Agriculture and Livestock: A Case Study of the Beijing–Tianjin–Hebei Region in China

2019 ◽  
Vol 11 (13) ◽  
pp. 3693
Author(s):  
Chen Cao ◽  
Xiaohan Lu ◽  
Xuyong Li
Keyword(s):  
Water Resources ◽  
Water Footprint ◽  
Sustainable Use ◽  
Stable State ◽  
Response Analysis ◽  
Unstable State ◽  
Rapid Urbanization ◽  
State Of Water ◽  
Regional Water

Excessive water consumption, associated with regional agriculture and livestock development and rapid urbanization, has caused significant stress to the ecological health and sustainable use of water resources. We used the water footprint theory to quantify the spatiotemporal characteristics and variation in the water footprint of agriculture and livestock (WF-AL) in the Beijing–Tianjin–Hebei region of China (2000–2016). We predicted the spatial distribution and sustainability of regional water resources at different levels of annual precipitation. Results showed that the average county WF-AL rose from 8.03 × 108 m3 in 2000 to 10.89 × 108 m3 in 2016. There was spatial heterogeneity compared to the average city WF-AL. The WF-AL varied between the mountains and the plains. The scale of the WF-AL was one of the main reasons for differences in the consumption and distribution of water resources. The development of regional water resources deteriorated from a stable state to an unstable state from 2000 to 2016. Only 5.8% of the areas maintained a stable state of water resources. Even in the predicted wet years, no improvements were found in the instability of water resources in four areas centered on the counties of Xinji, Daming, Luannan, and Weichang. To achieve a medium and long-term balance between WF-AL development and water resource recovery, the WF-AL should be limited and combined with reservoir and cross-regional water transfer.

Quantitative evaluation of spatial scale effects on regional water footprint in crop production

2021 ◽  
Vol 173 ◽  
pp. 105709
Author(s):  
Ying Mao ◽  
Yilin Liu ◽  
La Zhuo ◽  
Wei Wang ◽  
Meng Li ◽  
...  
Keyword(s):  
Spatial Scale ◽  
Quantitative Evaluation ◽  
Crop Production ◽  
Water Footprint ◽  
Scale Effects ◽  
Regional Water

Water resources efficiency assessment in crop production from the perspective of water footprint

2021 ◽  
pp. 127371
Author(s):  
Xinchun Cao ◽  
Wen Zeng ◽  
Mengyang Wu ◽  
Tingyu Li ◽  
Sheng Chen ◽  
...  
Keyword(s):  
Water Resources ◽  
Crop Production ◽  
Water Footprint ◽  
Efficiency Assessment

Environmental impact and treatment of hydraulic fracturing in shale gas

2021 ◽  
Author(s):  
Heng Wang ◽  
Lifa Zhou
Keyword(s):  
Surface Water ◽  
High Risk ◽  
Water Resources ◽  
Hydraulic Fracturing ◽  
Environmental Impacts ◽  
Shale Gas ◽  
Pollution Sources ◽  
Fracturing Fluid ◽  
Geological Disasters ◽  
Surface Water And Groundwater

<p>Hydraulic fracturing is one of the key technologies to stimulate shale gas production and may have some environmental impacts while enhancing shale gas development. Through the introduction of hydraulic fracturing technology from the design and construction aspects, analysis of its potential adverse environmental impacts in water resource consumption, surface water and groundwater pollution, geological disasters, and other aspects, and based on the existing problems to form targeted solutions.</p><p>According to EIA report, during the stimulation process of shale gas fracturing, the amount of water resources is about 10,000m<sup>3</sup>, of which 20%-80% can be returned, and the flowback rate of Shale gas in China is 20%-60%, which means that at least 20%-40% polluted water containing various chemical raw materials will be hidden in the formation for a long time. The shale flowback rate in China is significantly lower than that in the United States, not only due to formation conditions, but also due to equipment and technology. In view of this situation, it is necessary to control the whole process from design to construction.</p><p>In the design process of hydraulic fracturing of shale gas, real-time control of the fracture range is carried out in conjunction with seismic monitoring and software simulation fitting, so as to reduce the consumption of water resources on the premise of achieving the purpose of increasing production. Especially, to reducing the fracturing program as much as possible in the water-scarce areas, so as to ensure the security of public water resources. Reduce the use of chemical additives to alleviate the pollution of surface water and groundwater. After detection of possible pollution, determine the amount of pollution sources on site and carry out comprehensive pollutant recovery and treatment. Strictly prohibit high-risk pollution sources from entering the fracturing fluid process. At the same time, the fracturing fluid is used to recycled and purified. In terms of geological disasters caused by fracturing, high-risk geological disaster zones should be identified and monitored in advance to prevent large-scale geological activities caused by micro-earthquakes caused by fracturing from causing uncontrollable geological disasters.</p>

Runoff Forecast and Analysis of the Probability of Dry and Wet Transition in the Hanjiang River Basin

2021 ◽  
Author(s):  
Haoyu Jin ◽  
Xiaohong Chen ◽  
Ruida Zhong
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Transition Probability ◽  
Conversion Model ◽  
Drought And Flood ◽  
Runoff Prediction ◽  
Runoff Forecast ◽  
Hanjiang River ◽  
Basin Area ◽  
Regional Water

Abstract Runoff prediction has an important guiding role in the planning and management of regional water resources, flood prevention and drought resistance, and can effectively predict the risk of changes in regional water resources. This study used 12 runoff prediction methods to predict the runoff of four hydrological stations in the Hanjiang River Basin (HRB). Through the MCMC method, the HRB runoff probability conversion model from low to high (high to low) is constructed. The study found that the runoff of the HRB had a decreasing trend. In the mid-1980s, the runoff had a significant decreasing trend. The smoother the runoff changes, the easier it is to make accurate prediction. On the whole, the QS-MFM, MFM, MA-MFM, CES and DNN methods have strong generalization ability and can more accurately predict the runoff of the HRB. The Logistic model can accurately simulate the change of runoff status in the HRB. Among them, the HLT station has the fastest conversion rate of drought and flood, and the flow that generates floods is 6 times that of drought. The smaller the basin area, the larger the gap between drought and flood discharge. Overall, this research provides important technical support for the prediction of change in water resources and the transition probability from drought to flood in the HRB.

scholarly journals Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Agricultural Water ◽  
Land Area ◽  
Lexicographic Optimization ◽  
The Impact

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.

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