scholarly journals An Improved Ecological Footprint Method for Water Resources Utilization Assessment in the Cities

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 503
Author(s):  
Hui Li ◽  
Fen Zhao ◽  
Chunhui Li ◽  
Yujun Yi ◽  
Jiuhe Bu ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Water Consumption ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Yellow River ◽  
The Yellow River ◽  
Water Resources Carrying Capacity ◽  
Use Efficiency ◽  
Per Capita

Economic development and increasing population density along the lower reaches of the Yellow river have challenged the river’s ability to meet human and ecological demand. The evaluation of the sustainability of water resources in the lower reaches of the Yellow River is of great significance for the achievement of high-quality development in the region. Based on an improved ecological footprint method considering soil water, the spatial and temporal evolution of the water resources ecological footprint and water resources carrying capacity and evaluates the utilization of water resources in the lower Yellow River are comprehensively evaluated. The results show that agricultural water consumption in the urban agglomerations in the lower reaches of the Yellow River occupies a major position in water consumption, accounting for more than 70%. In 2013–2017, the per capita water resources ecological footprint of the cities along the lower reaches of the Yellow River decreases every year, while the water resources carrying capacity is slightly fluctuating, but remains in a relatively stable state. The deficit situation has eased, falling by 54.52% in the past five years. The water use efficiency of the lower reaches of the Yellow River has increased every year, and the water resources conflict improved significantly, after the implementation of the new environmental policy in 2015. In terms of space, the cities with the smallest per capita ecological deficits include Zibo, Zhengzhou, and Laiwu City, and Dezhou, and Kaifeng and Binzhou City have the largest. Strict water resources management measures and water pollution prevention and control regulations should be formulated to improve the water use efficiency in these areas in order to solve the problem of water shortage.

scholarly journals Will China's water resources be safe in 2030?

Water Policy ◽  
2021 ◽  
Author(s):  
Lishuo Guo ◽  
Lifang Wang
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Water Use ◽  
Carrying Capacity ◽  
Water Resource Management ◽  
Resource Management System ◽  
Water Resources Carrying Capacity ◽  
Social And Economic Development ◽  
The Status ◽  
Use Efficiency

Abstract This paper is distinct from existing studies on water resources carrying capacity which usually use dimensionless data to represent trend and status of water resources carrying capacity. Here, on the grounds of the most stringent water resource management system and following the principles of water determining population, water determining city scale, water determining production and so on, water resources carrying capacity prediction model was established. The water resources carrying capacity was represented by population, which can directly reflect the status of water resources. Under the rigid constraints of water use quantity and water use efficiency, six scenarios were set to predict China's maximum population in 2030. The results demonstrated that the maximum population in each scenario is close to 1.45 billion of National Population Development Plan. It means water resources rigid constraints can support population and economic growth at the socio-economic development current pace and path. Total water use quantity will not break through the limit of 800–900 billion m3 when achieving the expected goals of social and economic development, not even more than 700 billion m3. Meanwhile, in order to relieve water resources stress, to improve water resources carrying capacity, and to accelerate construction of a water-saving society, some suggestions were put forward.

scholarly journals Evaluation of Water Resources Carrying Capacity in Shandong Province Based on Fuzzy Comprehensive Evaluation

2018 ◽  
Vol 38 ◽  
pp. 01012
Author(s):  
Qiang Zhao ◽  
Qian Gao ◽  
Mingyue Zhu ◽  
Xiumei Li
Keyword(s):  
Water Resources ◽  
Water Consumption ◽  
Carrying Capacity ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Shandong Province ◽  
Water Resources Carrying Capacity ◽  
Forest Coverage ◽  
Per Capita

Water resources carrying capacity is the maximum available water resources supporting by the social and economic development. Based on investigating and statisticing on the current situation of water resources in Shandong Province, this paper selects 13 factors including per capita water resources, water resources utilization, water supply modulus, rainfall, per capita GDP, population density, per capita water consumption, water consumption per million yuan, The water consumption of industrial output value, the agricultural output value of farmland, the irrigation rate of cultivated land, the water consumption rate of ecological environment and the forest coverage rate were used as the evaluation factors. Then,the fuzzy comprehensive evaluation model was used to analyze the water resources carrying capacity Force status evaluation. The results showed : The comprehensive evaluation results of water resources in Shandong Province were lower than 0.6 in 2001-2009 and higher than 0.6 in 2010-2015, which indicating that the water resources carrying capacity of Shandong Province has been improved.; In addition, most of the years a value of less than 0.6, individual years below 0.4, the interannual changes are relatively large, from that we can see the level of water resources is generally weak, the greater the interannual changes in Shandong Province.

scholarly journals Water Resources Carrying Capacity Analysis of YarLung Tsangpo River Basin (I)

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1131 ◽  
Author(s):  
Lili Wang ◽  
Zhonggen Wang ◽  
Xiaocong Liu
Keyword(s):  
Growth Rate ◽  
Water Resources ◽  
Population Growth ◽  
Water Use ◽  
Carrying Capacity ◽  
Population Growth Rate ◽  
Water Resources Carrying Capacity ◽  
Use Efficiency ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

Water resources carrying capacity (WRCC) analysis is critically important in providing guidance to the sustainable development strategies of the YarLung Tsangpo River Basin (YTRB) due to the conflicts among the ample water resources, low development level of society, and the fragile ecological environment. This study evaluated the scheduled developing mode of YTRB in the planning years from 2016 to 2030 with a WRCC system containing three components: a hydrological informatics modeling system (HIMS), water resources carrying capacity (WRCC) model, and an index evaluation system. The averaged WRCC index is 4.29, 1.19, and 0.06 for the planning years, and 2.61, 0.98, 0.05 for the baseline years for the three sub-basins. The water deficiency problem becomes more severe in the upper sub-basin and appears in the middle sub-basin with the WRCC index greater than 1, while the water resources are not fully utilized in the lower sub-basin in the planning years, with the WRCC index far less than 1. The GDP of the three sub-basins is greater in the planning years, with 2.25 × 108, 54.60 × 108, and 3.94 × 108 dollars year−1 than those in the baseline years with 1.97 × 108, 47.71 × 108, 3.43 × 108 dollars year−1. However, GDP per capita/cubic meter keeps decreasing due to the great population growth rate and non-enhanced water use efficiency. The sustainability index is 0.04, 0.23, and 0.47 in the planning years, which is lower than the 0.04, 0.31, and 0.50 in the baseline years. Therefore, the scheduled growth rates of the population, urbanization, and GDP are a developing mode with low sustainability and are not appropriate to be continued in the planning years. Further work is needed to identify a sustainable developing mode with a decreased population growth rate, enhanced water use efficiency in the economic system, and the optimized allocation of water resources distribution in the three sub-basins with hydraulic facilities.

scholarly journals Virtual Water Trade in the Yellow River Economic Belt: A Multi-Regional Input-Output Model

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 748
Author(s):  
Ming Li ◽  
Qingsong Tian ◽  
Yan Yu ◽  
Yueyan Xu ◽  
Chongguang Li
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Inner Mongolia ◽  
Yellow River ◽  
Cumulative Risk ◽  
Virtual Water ◽  
Hot Water ◽  
The Yellow River ◽  
Input Output ◽  
Virtual Water Trade

The sustainable and efficient use of water resources has gained wide social concern, and the key point is to investigate the virtual water trade of the water-scarcity region and optimize water resources allocation. In this paper, we apply a multi-regional input-output model to analyze patterns and the spillover risks of the interprovincial virtual water trade in the Yellow River Economic Belt, China. The results show that: (1) The agriculture and supply sector as well as electricity and hot water production own the largest total water use coefficient, being high-risk water use sectors in the Yellow River Economic Belt. These two sectors also play a major role in the inflow and outflow of virtual water; (2) The overall situation of the Yellow River Economic Belt is virtual water inflow, but the pattern of virtual water trade between eastern and western provinces is quite different. Shandong, Henan, Shaanxi, and Inner Mongolia belong to the virtual water net inflow area, while the virtual water net outflow regions are concentrated in Shanxi, Gansu, Xinjiang, Ningxia, and Qinghai; (3) Due to higher water resource stress, Shandong and Shanxi suffer a higher cumulative risk through virtual water trade. Also, Shandong, Henan, and Inner Mongolia have a higher spillover risk to other provinces in the Yellow River Economic Belt.

scholarly journals Analysis and Comprehensive Evaluation of Water Use Efficiency in China

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2620 ◽  
Author(s):  
Wenge Zhang ◽  
Xianzeng Du ◽  
Anqi Huang ◽  
Huijuan Yin
Keyword(s):  
Water Quality ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Consumption ◽  
Value Added ◽  
Domestic Water ◽  
Projection Direction ◽  
Domestic Water Consumption ◽  
Use Efficiency ◽  
Per Capita

Proper water use requires its monitoring and evaluation. An indexes system of overall water use efficiency is constructed here that covers water consumption per 10,000 yuan GDP, the coefficient of effective utilization of irrigation water, the water consumption per 10,000 yuan of industrial value added, domestic water consumption per capita of residents, and the proportion of water function zone in key rivers and lakes complying with water-quality standards and is applied to 31 provinces in China. Efficiency is first evaluated by a projection pursuit cluster model. Multidimensional efficiency data are transformed into a low-dimensional subspace, and the accelerating genetic algorithm then optimizes the projection direction, which determines the overall efficiency index. The index reveals great variety in regional water use, with Tianjin, Beijing, Hebei, and Shandong showing highest efficiency. Shanxi, Liaoning, Shanghai, Zhejiang, Henan, Shanxi, and Gansu also use water with high efficiency. Medium efficiency occurs in Inner Mongolia, Jilin, Heilongjiang, Jiangsu, Hainan, Qinghai, Ningxia, and Low efficiency is found for Anhui, Fujian, Jiangxi, Hubei, Hunan, Guangdong, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, and Xinjiang. Tibet is the least efficient. The optimal projection direction is a* = (0.3533, 0.7014, 0.4538, 0.3315, 0.1217), and the degree of influence of agricultural irrigation efficiency, water consumption per industrial profit, water used per gross domestic product (GDP), domestic water consumption per capita of residents, and environmental water quality on the result has decreased in turn. This may aid decision making to improve overall water use efficiency across China.

Calculation and Analysis of Water Footprint in Shunyi District of Beijing

2013 ◽  
Vol 295-298 ◽  
pp. 964-969 ◽  
Author(s):  
Su Ling Liu ◽  
Yu Xin Wang ◽  
Xiao Hui Mao
Keyword(s):  
Water Resources ◽  
Water Resource ◽  
Carrying Capacity ◽  
Water Scarcity ◽  
Water Footprint ◽  
Virtual Water ◽  
Consumption Pattern ◽  
Water Resources Carrying Capacity ◽  
Per Capita

The water footprint and consumption pattern is an effective tool for quantitifying the volume of water resources consumption in certain region [ ].Shunyi’s water footprint in the period 2006-2010 is calculated in this article from the view of virtual water. The general water footprint in Shunyi District at the year 2010 reached 790 million m3 and water footprint per capita was 536.48 cubic meters. Shunyi 's water resource quantity per capita was 501.27 m3 in the same year and the Water Scarcity Index was 1.98. The result of calculation shows that the water resource volume of exploitation in Shunyi District of Beijing has been beyond the water resources carrying capacity.

scholarly journals Research on evaluation of China's water-resource utilization efficiency based on DEA-Tobit two-stage model

2020 ◽  
Author(s):  
Y. Yang
Keyword(s):  
Water Use ◽  
Resource Utilization ◽  
Water Resource ◽  
Water Consumption ◽  
Regional Differences ◽  
Utilization Efficiency ◽  
Water Resource Utilization ◽  
Use Efficiency ◽  
Per Capita ◽  
Resource Utilization Efficiency

Abstract In the paper, Data Envelopment Analysis Tobit (DEA-Tobit) two-stage model was used to evaluate the efficiency of water-resource utilization, and regional differences and influencing factors water-resource utilization were analyzed. The results of the analysis of regional differences show that China's water-use efficiency is relatively low. Only Beijing, Shanghai, and Fujian have water-use efficiency higher than 0.8, whereas most other provinces and cities have an efficiency 0.3–0.8, there are regional differences in water-resource utilization efficiency in China, with the eastern region being higher than the central and western regions. The analysis of the influencing factors of regional differences in water-use efficiency found that per capita water resources, per capita domestic water use, and the proportion of primary and secondary industries all have a negative impact on the efficiency of water use, and per capita GDP has a positive impact on the efficiency of water use. Agricultural water consumption, industrial water consumption, domestic water consumption, and total ecological water consumption all have a negative impact on water-resource utilization efficiency, of which water consumption and industrial water consumption have a greater impact. Technological level and water-resource utilization efficiency have shown a significant positive correlation.

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