FORECASTING INDUSTRIAL WATER UTILIZATION IN THE PETROLEUM REFINING SECTOR: AN OVERVIEW

DEA was used to estimate the relative efficiency of industrial water in Xinjiang. Using data from 2005 to 2010 for fifteen prefectures in Xinjiang, this research selected productive water usage, employed persons, land area and fixed asset investment as the inputs, and chose gross regional product as the output. The scale redundancy ratio and technical redundancy ratio were also calculated. On the basis, the water utilization relative efficiency was calculated for every prefecture and the spatial-temporal variation of regional industrial water distribution were discussed. The spatial analyses show that the relative efficiency of industrial water utilization is distinctly different among the fifteen prefectures. Agriculture-oriented areas have relatively low water use efficiency, mainly due to the large proportion of agricultural water and seriously wasted water. Every prefecture should adjust the industrial structure and strengthen the agricultural water's conservation according to local condition.

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Decomposition analysis of water utilization in the Beijing-Tianjin-Hebei region between 2003 and 2016

Water Science & Technology Water Supply ◽

10.2166/ws.2018.110 ◽

2018 ◽

Vol 19 (2) ◽

pp. 626-634

Author(s):

Hongrui Wang ◽

Siyang Hong ◽

Tao Cheng ◽

Xiayue Wang

Keyword(s):

Socioeconomic Development ◽

Industrial Structure ◽

Decomposition Analysis ◽

Water Shortage ◽

Structural Effect ◽

Industrial Water ◽

Total Water ◽

Water Utilization ◽

Internal Relations ◽

Factor Decomposition

Abstract Water crisis is prominent in the Beijing-Tianjin-Hebei region, therefore, the internal relations between water utilization changes and socioeconomic development must be urgently analysed. Based on analyses of the spatiotemporal characteristics of total water utilization, the factors that influenced changes in industrial water utilization in the Beijing-Tianjin-Hebei region from 2003 to 2016 were studied using a factor decomposition model. The results show that the scaling effect (SCE) increased water utilization by 31.78 billion m3 over those 13 years and was the only driving effect that caused industrial water utilization to increase. The structural effect (STE) and technological effect (TEE) reduced industrial water utilization by 14.93 and 20.44 billion m3, respectively. The TEE was the main reason for the decrease in industrial water utilization in Beijing, accounting for a reduction of 96.5% in total industrial water utilization. The STE was stronger than TEE in Tianjin, with associated decreases of 94.65% and 90.1% in total industrial water utilization, respectively. In Hebei, the STE and TEE reduced total industrial water utilization by 60.23% and 85.46%, respectively. Adjusting the industrial structure and promoting water-saving technology are efficient methods of alleviating the water shortage in the study area.

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Coordination Degree Assessment Model for Regional Industrial Water Utilization Structure

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.955-959.3343 ◽

2014 ◽

Vol 955-959 ◽

pp. 3343-3346

Author(s):

Jing Chen ◽

Da Wei Yan

Keyword(s):

Economic Benefit ◽

Environmental Effect ◽

Water System ◽

Assessment Model ◽

Urban Water ◽

Industrial Water ◽

Water Utilization ◽

Urban Water System ◽

Set Up ◽

Coordination Degree

More reasonable management for water resources use may be critical to survive water crisis and realize sustainable development of urban-water system. This work attempts to set up a assessment model for regional industrial water utilization structure based on synergetics theory and grey method. In this model, both economic benefit and environmental effect are considered.

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Formation of Silica Scales in the Water Utilization Process and its Prevention Methods

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.726-731.1863 ◽

2013 ◽

Vol 726-731 ◽

pp. 1863-1866 ◽

Cited By ~ 1

Author(s):

Fang Zhang ◽

Gao Wa Naren ◽

Ya Qiong Wang ◽

Shu Qin Bai

Keyword(s):

Formation Mechanism ◽

Natural Waters ◽

Influence Factors ◽

Industrial Water ◽

Huge Amount ◽

Water Utilization ◽

Silica Scale ◽

The World ◽

Prevention Methods ◽

Low Solubility

A huge amount of industrial water is necessary for continuous development of industries in the world. Various mineral scales forming at facilities on the ground within the water utilization process due to dissolved salts in the natural waters. Silica scale is a significantly serious problem to prevent the effectively operation of industries due to its hard structure and low solubility. This paper only focus on formation of silica scales, summarized its formation mechanism, influence factors and prevention methods.

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Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt

Sustainability ◽

10.3390/su11236571 ◽

2019 ◽

Vol 11 (23) ◽

pp. 6571 ◽

Cited By ~ 5

Author(s):

Xuhui Ding ◽

Zhu Fu ◽

Hongwen Jia

Keyword(s):

Yangtze River ◽

Industrial Structure ◽

Utilization Efficiency ◽

Industrial Water ◽

The Yangtze River ◽

Urbanization Level ◽

Water Utilization ◽

Urban Primacy ◽

Central Regions ◽

Level Of Economic Development

Considering the undesirable output, this paper adopted the data envelopment analysis (DEA) model with the slack variable and super efficiency improvement, to measure industrial water utilization efficiency in the Yangtze River Economic Belt. The paper also creatively introduces urbanization level and urban primacy into driver factors’ estimation by stochastic and fixed Tobit models, exploring how urbanization characteristics affected the water utilization in regional industrial production. The results showed that industrial water efficiency has maintained an upward trend during the whole period, while most central and western provinces have shown a U-shaped trend of decreasing first and then rising. However, the industrial water utilization efficiency of central regions is the lowest, and the eastern regions are the highest, catching up with western regions. Utilization efficiency shows an overall convergence during the research period from 2005 to 2017. Regarding the factors’ estimation, both population urbanization and land urbanization negatively affected industrial water utilization efficiency, particularly blind expansion and disorderly development. The urban primacy meant the unbalance of urbanization, which would lead to urban diseases and pollution transfer, while the effects of urban primacy depended on the urbanization level. However, the utilization efficiency of industrial water did not become better automatically along with urbanization development; therefore, the scale and speed of urbanization should be scientifically formulated. The effects of the level of economic development, the advanced industrial structure, and the level of foreign investment are significantly negative.

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Data Mining Model in Regional Target Decomposition of Water Resources Utilization Efficiency

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.580-583.2082 ◽

2014 ◽

Vol 580-583 ◽

pp. 2082-2087 ◽

Cited By ~ 1

Author(s):

Hua Wei Chen ◽

Ji Wen Huang ◽

Bing Li ◽

Shi Dong Fu ◽

Xin Zhang

Keyword(s):

Data Mining ◽

Water Resources ◽

Shandong Province ◽

Utilization Efficiency ◽

Water Withdrawal ◽

Industrial Water ◽

Water Utilization ◽

Clustering Model ◽

Mining Model ◽

Municipal Level

Data mining model is the most important technical basis of the control target decomposition for the most stringent water resources management of Shandong province. K-means clustering model is adopted to analysis the water withdrawal of industrial added value per ten thousand yuan in 2010. Based on the yearly industrial water consumption trend from 1995 to 2010 of 17 municipal-level cities in Shandong province, the ARIMA (p, d, q) model is established through a lot of fitting and optimization and then the regional industrial water demand and water utilization efficiency in 2015 were forecasted. According to the proposed principal and technical route of target decomposition, the industrial water utilization efficiency target in 2015 of the whole province and 17 municipal-level cities are defined respectively.

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Assessment Reasearch about the Industrial Water Level

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.2475 ◽

2011 ◽

Vol 71-78 ◽

pp. 2475-2478

Author(s):

Ling Hua Wang ◽

Pan Hua Ning ◽

Rui Lian Wang

Keyword(s):

Water Level ◽

Index System ◽

Final Conclusion ◽

Industrial Water ◽

Scoring Method ◽

Water Utilization ◽

Assessment Index ◽

Assessment Index System ◽

Water Assessment ◽

Agriculture Water

According to characteristics about the Industrial Water, industrial water assessment index system is selected and analysed. Expert scoring method is used to determine the importance of each hierarchy. On that basis, we adopt fuzzy preference-selected scheme to assess the agriculture water level. So the problem about how to use mathematic method to analyse and deal with a lot of fuzzy problems of the agriculture water assessment is solved to a certain extent. The final conclusion of the example indicates that fuzzy comprehension evaluation can reflect water utilization characteristic in different areas and can make comprehension evaluation reasonable.

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