scholarly journals Spatiotemporal Effects and Driving Factors of Water Pollutants Discharge in Beijing–Tianjin–Hebei Region

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1174
Author(s):  
Qilong Ren ◽  
Hui Li
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Pollutant Emissions ◽  
Spatial Correlations ◽  
Time Data ◽  
Spatiotemporal Evolution ◽  
Water Pollutants ◽  
Pollutant Discharge

The problem of water pollution is a social issue in China requiring immediate and urgent solutions. In the Beijing–Tianjin–Hebei region, the contradiction between preserving the ecological environment and facilitating sustainable economic development is particularly acute. This study analyzed the spatiotemporal evolution of water pollutants and their factors of influence using statistics on the discharge of two water pollutants, namely chemical oxygen demand (COD) and NH3-N (ammonia nitrogen), in 154 counties in both 2012 and 2016 as research units in the region. The study employed Exploratory Spatial-Time Data Analysis (ESTDA), Standard Deviational Ellipse (SDE), and the Geographically Weighted Regression (GWR) models, as well as ArcGIS and GeoDa software, obtaining the following conclusions: (1) From 2012 to 2016, pollutant discharge dropped significantly, with COD and NH3-N emissions decreasing 65.9% and 47.2%, respectively; the pollutant emissions possessed the spatial feature of gradual gradient descent from the central districts to the periphery. (2) The water pollutants discharge displayed significant and positive spatial correlations. The spatiotemporal cohesion of the spatiotemporal evolution of the pollutants was higher than their spatiotemporal fluidity, representing strong spatial locking. (3) The level of economic development, the level of urbanization, and the intensity of agricultural production input significantly and positively drove pollutant discharge; the environmental regulations had a significant effect on reducing the emission of pollutants. In particular, the effect for NH3-N emissions reduction was stronger; the driving effect of the industrial structure and the distance decay was not significant.

scholarly journals Assessing the abatement potential and cost of Chinese industrial water pollutants

Water Policy ◽  
2017 ◽  
Vol 19 (5) ◽  
pp. 936-956 ◽  
Author(s):  
Huiming Xie ◽  
Manhong Shen ◽  
Chu Wei
Keyword(s):  
Emission Trading ◽  
Oxygen Demand ◽  
Cost Effective ◽  
Abatement Cost ◽  
Industrial Sector ◽  
Ammonia Nitrogen ◽  
Joint Production ◽  
Water Pollutants ◽  
Capital Labor Ratio ◽  
Environmental Goal

Water pollution is becoming an increasing threat to China's sustainable development. To respond to this challenge, China has pledged to cut emissions of two major water pollutants, chemical oxygen demand (COD) and ammonia nitrogen (NH4), and has disaggregated the national target among provinces. However, the abatement potential and costs have not been thoroughly assessed. This paper aims to examine the reduction potential and associated costs of COD and NH4 in the Chinese industrial sector. A parametric directional distance function is applied to modeling joint production, in which COD and NH4 are treated simultaneously as byproducts of the production process. Using provincial data from 2003 to 2012, we find that 13.18% of COD and 13.27% of NH4 can be reduced if all provinces perform efficiently. The average abatement cost to cut one additional unit of COD and NH4 is 710 and 7,390 Yuan/kg, respectively. The abatement cost is significantly correlated with the economic development level, pollution intensity and capital-labor ratio. Our results call for a market-based instrument, such as an Emission Trading System, to assist China in achieving this environmental goal in a cost-effective way. Moreover, it will become more difficult and costly to control COD, while there still exists a ‘win-win’ opportunity to control NH4 emissions through efficiency improvements.

Quantification of the Embodied Impacts of International Trade on Energy and Environment in China

2012 ◽  
Vol 524-527 ◽  
pp. 3428-3432
Author(s):  
Di Wang ◽  
Ming Xin Wang
Keyword(s):  
International Trade ◽  
Energy Consumption ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Assessment Method ◽  
Embodied Energy ◽  
Pollutant Emissions ◽  
Total Energy Consumption ◽  
Energy And Environment ◽  
Export Strategy

Based on the input-output life cycle assessment method, the embodied energy consumption, air and water emissions of China's international trade in 2007 were estimated. The results showed that the embodied energy consumption of China's international trade in 2007 is up to 229.04 Mt, accounting for 8.62% of total energy consumption. The embodied Chemical Oxygen Demand, Ammonia Nitrogen, Sulfur Dioxide and Dust emissions caused by net exports accounted for 9.85%, 9.11%, 6.71% and 0.78% of the overall emissions in China, respectively. China’s export promoted energy consumptions and pollutant emissions significantly. Therefore, China should adjust its export strategy and structure to reverse the adverse effects on energy and environment caused by exportation.

Dynamics of Water Quality in the Middle and Lower Reaches of the Weihe River

2014 ◽  
Vol 955-959 ◽  
pp. 3245-3258
Author(s):  
Juan Deng ◽  
Dong Feng Hu ◽  
Zhou Ping Shangguan
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Yellow River ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Pollutant Concentrations ◽  
Weihe River ◽  
Pollutant Discharge ◽  
Major Factors

The Weihe River is an upstream tributary of the Yellow River that is heavily influenced by excessive pollutant discharge. In this study, the water quality of the Weihe River was studied based on five water quality indices: CODMn (chemical oxygen demand), BOD5 (biochemical oxygen demand), NH3-N (ammonia nitrogen), DO (dissolved oxygen), and PPI (potassium permanganate index), using monitoring data collected from 13 river sections in the middle and lower reaches of the river from 2001 to 2010. Our results showed that the water quality tended to deteriorate from the upper to the lower reaches of the river. Additionally, CODMn, NH3-N and PPI were found to be the major factors resulting in water pollution over time in all river sections, but the pollutant concentrations with the interannual variability differed in every section. Therefore, many efficient and reasonable measures should be carried out to control water pollution and improve water quality in the Weihe River.

Analisis Wilayah Kecamatan Potensial Melalui Pendekatan Tipologi Klassen di Kabupaten Ende

Analisis ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 39-49
Author(s):  
Estherlina Sagajoka
Keyword(s):  
Economic Development ◽  
Descriptive Analysis ◽  
Population Data ◽  
Spatial Inequality ◽  
Theil Index ◽  
Time Data ◽  
Entropy Index ◽  
Quantitative Descriptive Analysis ◽  
Index Analysis ◽  
The City

This study aims to determine the comparison of the results of the inequality analysis of economic development between districts / cities in the province of East Nusa Tenggara for the period of 2013-2018. The method used in this research is quantitative descriptive analysis using the Williamson index, and Theil Entropy Index, using time data per capita PDRB series and population data for each district / city in 2013-2018. The Williamson Index analysis results show that the economic development sector inequality in 21 districts in NTT province is very evenly distributed (low inequality) except for the city of Kupang, which has an Williamson Index value of 1.49 other than districts in NTT province in the period 2013-2018. The Intra Index Analysis Results show spatial inequality within the regency. The city of Nusa Tenggara Timur province is fairly evenly distributed within the regency except the city of Kupang  shows an unequal inequality compared to 21 other districts. Through the Theil Entropy Index calculation of development inequality between 21 regencies and Kupang  tend to widen (divergence) which has Theil  Index of 798,15, while the other 21 districts in the 2013-2018 period have the Theil Entropy Index Index 211,26 for Regencies and  TTS 201,11, while other districts have an index numberbelow 200.

The Scenario Analysis of Carbon Emissions Based on Improved IPAT Model in China

2012 ◽  
Vol 616-618 ◽  
pp. 1484-1489 ◽  
Author(s):  
Xu Shan ◽  
Hua Wang Shao
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Energy Structure ◽  
Low Carbon ◽  
Policy Scenario ◽  
Social And Economic Development ◽  
Energy Environment ◽  
Development Goals

The coordination development of economy-energy-environment was discussed with traditional environmental loads model, combined with "decoupling" theory. Considering the possibilities of social and economic development, this paper set out three scenarios, and analyzed quantitatively the indexes, which affected carbon dioxide emissions, including population, per capita GDP, industrial structure and energy structure. Based on this, it forecasted carbon dioxide emissions in China in future. By comparing the prediction results, it held that policy scenario was the more realistic scenario, what’s more it can achieve emission reduction targets with the premise of meeting the social and economic development goals. At last, it put forward suggestions to implement successfully policy scenario, from energy structure, industrial structure, low-carbon technology and so on.

scholarly journals Rural Economic Development Based on Shift-Share Analysis in a Developing Country: A Case Study in Heilongjiang Province, China

2021 ◽  
Vol 13 (4) ◽  
pp. 1969
Author(s):  
Donghui Lv ◽  
Huiying Gao ◽  
Yu Zhang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Industrial Structure ◽  
National Level ◽  
Structural Evolution ◽  
Industry Structure ◽  
Growth Effect ◽  
Heilongjiang Province ◽  
Competitive Effect ◽  
Rural Economic Development

Identification of local priorities within each potential sector and implementation of a targeted development policy would definitely accelerate rural economic growth. In this sense, it is useful to examine each region’s industrial structural evolution compared to the whole economy and aggregate industries. Shift-share analysis has been confirmed as a useful method to measure regional economic differences and analyze the contribution of industrial structure. This paper selects five representative counties in Heilongjiang province and applies shift-share decomposition to analyze the change in rural economic development from 2000 to 2018. The change of economic growth in each selected county is decomposed into three components: national growth effect, industrial structure effect, and competitive effect, taking the national level as the reference. The results showed the following: (1) the trend of rural economic growth fluctuated greatly for nearly 20 years, distinguished by a mismatch of industrial structure with competitiveness for the selected counties; rural economies with an inappropriate industrial structure did not experience strong growth, despite high competitive potential. (2) The low-end agricultural structure and secondary industry structure led to the loss of each competitive effect; the tertiary industry structure based on economic structure servitization was rational, but the competitive effect did not work out. (3) Finally, this paper provided differentiated suggestions in accordance with local resources and priorities of the selected counties, so as to avoid excessive convergence and the lack of characteristics in industrial structure in rural transformation.

scholarly journals Digestate Liquid Fraction Treatment with Filters Filled with Recovery Materials

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 21
Author(s):  
Ilaria Piccoli ◽  
Giuseppe Virga ◽  
Carmelo Maucieri ◽  
Maurizio Borin
Keyword(s):  
Chemical Oxygen Demand ◽  
Total Nitrogen ◽  
Liquid Fraction ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Green Technology ◽  
Filling Material ◽  
Community Interactions ◽  
Material Particle ◽  
N Removal

Constructed wetlands (CWs) represent a green technology for digestate liquid fraction (DLF) treatment. However, previous research has warned about their performance when treating wastewater with high suspended solid and organic loads. In addition, the high NH4-N concentration typical of this wastewater can compromise vegetation establishment and activity. In view of this, a digestate pretreatment is needed. This study aimed to test the performance of filters filled with recovery materials, such as brick and refractory material, for DLF pretreatment. The effect on DLF physical (electrical conductivity, pH, dissolved oxygen, and temperature) and chemical (total nitrogen, ammonia–nitrogen, nitrate–nitrogen, total phosphorus, soluble phosphorus, and chemical oxygen demand) characteristics was monitored during eight weekly cycles. The effect of filtration on total nitrogen and ammonia–nitrogen removal began after about one month of loading, suggesting that an activation period is necessary for bacteria. For effective N removal, the presence of multiple digestate recirculations per day through the filters appears mandatory to guarantee the alternation of nitrification and denitrification conditions. For P removal, filling material particle size appeared to be more important than its composition. Unclear performances were observed considering chemical oxygen demand. Further studies on filling media and microbial community interactions, and the long-term efficiency of filters, are desirable.

Impact of marine industrial structure on environmental efficiency

2020 ◽  
Vol 31 (1) ◽  
pp. 111-129 ◽  
Author(s):  
Shuhong Wang ◽  
Lu Xing ◽  
Hanxue Chen
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Ownership Structure ◽  
Industrial Structure ◽  
Environmental Efficiency ◽  
Content Type ◽  
Development Level ◽  
Marine Economy ◽  
Marine Environmental ◽  
Land Economic

Purpose Recently, China has been paying increasing attention to how to improve the efficiency of the marine environment and realize a green and sustainable development of the marine economy. Consequently, the industrial structure is crucial to improving efficiency. The purpose of this paper is to introduce environmental factors into the efficiency analysis framework and explore the relationship between marine industrial structure and marine environmental efficiency. Design/methodology/approach This paper uses marine economic data under the DEA-BBC model to measure the marine environmental efficiency of provinces and cities and classifies them by cluster analysis. Then, the marine industrial structure and marine environmental efficiency are studied by an econometric model with human capital, ownership structure, land economic development level, scientific research input and government intervention degree as control variables. Findings The overall level of marine environmental efficiency is relatively low in China, increasing and then decreasing over the research period. The rationalization of industrial structure and scientific research input have significant promoting effects on marine environmental efficiency, while the degree of government intervention has a significant inhibiting effect. The positive effect of human capital on efficiency depends on whether it can be successfully converted into productivity. The effects of industrial structure advancement, ownership structure and land economic development level of on the marine environmental efficiency are mixed. Originality/value The results provide a theoretical and decision-making basis for China to transform and upgrade its marine industrial structure and sustainably develop the marine economy.

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Parameter ◽  
Water Quality Parameter ◽  
National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

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