scholarly journals The Linkage relationship between the development of secondary industry and environmental pollution: a case in Fujian

2020 ◽  
Vol 198 ◽  
pp. 04035
Author(s):  
GAO Ling ◽  
JIANG Wenting
Keyword(s):  
Environmental Pollution ◽  
Solid Waste ◽  
Industrial Waste ◽  
Linkage Relationship ◽  
Waste Gas ◽  
Dynamic Correlation ◽  
Industrial Solid Waste ◽  
Waste Production ◽  
Secondary Industry ◽  
Good Environment

Fujian is very wealthy in natural resources, which provides a good environment for social development and people’s life. However, with the development of economy, environmental pollution has become an importation problem in Fujian. In order to discuss the linkage relationship between economic development and environmental pollution, this paper selects the data of the secondary industry, industrial waste gas emissions, industrial waste water emissions and industrial solid waste production from 1995 to 2017 in Fujian, establishes the VAR model, explore the relationship between the development of secondary industry and environmental pollution. The results show that the association between the development of the secondary industry and environmental pollution is monotonously increasing. The industrial waste gas has become the main pollutant restricting the development of the secondary industry. Industrial solid waste has made the largest contribution to the development of the secondary industry, indicating a positive dynamic correlation.

Evaluating the Relationship between Economic Growth and Environmental Pollution

2014 ◽  
Vol 644-650 ◽  
pp. 5884-5888 ◽  
Author(s):  
Rui Lian Zhang ◽  
Feng Yao
Keyword(s):  
Economic Growth ◽  
Environmental Pollution ◽  
Industrial Waste ◽  
Developed Countries ◽  
Anhui Province ◽  
Kuznets Curve ◽  
Industrial Waste Water ◽  
Waste Gas ◽  
Industrial Solid Waste ◽  
The Relationship

The paper evaluates the relationship between economic growth and environmental pollution of Anhui province using the data from 1990 to 2012. The indicators for the evaluation included emission of industrial waste water (EIWW), emission of industrial waste gas (EIWG), emission of industrial solid waste (EISW) and GDP per capita (GDPPC). The results show that the relationship between economic growth and environmental pollution of Anhui province is different from Environmental Kuznets curve. There is a U-shaped plus inverted U-shaped curve between EIWW and GDPPC. EIWG and EISW keep increasing monotonically. The turning points of EIWG and EISW both apparently less than that of developed countries. Our study then predicts that EIWG and EISW begin to decrease when the GDPPC reaches 3421Yuan and 5189Yuan (The price of 1978) respectively. Our study reveals the importance of increasing environmental protection expense and strengthening the construction of environmental policy.

scholarly journals SWAN platform: A web-based tool to support the development of industrial solid waste reuse business models

2021 ◽  
pp. 0734242X2198941
Author(s):  
Athanasios Angelis-Dimakis ◽  
George Arampatzis ◽  
Tryfonas Pieri ◽  
Konstantina Solomou ◽  
Panagiotis Dedousis ◽  
...  
Keyword(s):  
Solid Waste ◽  
Industrial Waste ◽  
Business Models ◽  
Web Based ◽  
Matching Algorithm ◽  
Waste Reuse ◽  
Industrial Solid Waste ◽  
Business Cases ◽  
Industrial Unit

The SWAN platform is an integrated suite of online resources and tools for assessing industrial symbiotic opportunities based on solid industrial waste reuse. It has been developed as a digital solid waste reuse platform and is already applied in four countries (Greece, Bulgaria, Albania and Cyprus). The SWAN platform integrates a database with the spatial and technical characteristics of industrial solid waste producers and potential consumers, populated with data from these countries. It also incorporates an inventory of commercially implemented best practices on solid industrial waste reuse. The role of the SWAN platform is to facilitate the development of novel business cases. Towards this end, decision support services, based on a suitable matching algorithm, are provided to the registered users, helping them to identify and assess potential novel business models, based on solid waste reuse, either for an individual industrial unit (source/potential receiver of solid waste) or a specific region.

scholarly journals Decomposition and Decoupling Analysis of Industrial Solid Waste in the Yangtze River Economic Belt

2021 ◽  
Vol 275 ◽  
pp. 02054
Author(s):  
Ma Teli
Keyword(s):  
Solid Waste ◽  
Yangtze River ◽  
Industrial Structure ◽  
Waste Reduction ◽  
The Yangtze River ◽  
Environment Friendly ◽  
Intensity Effect ◽  
Industrial Solid Waste ◽  
Waste Production ◽  
Decoupling Analysis

In this paper, LMDI method is used to analyze the driving factors of industrial solid waste production in the Yangtze River Economic Belt from 2005 to 2018, and the decoupling state is analyzed by Tapio indicator. We found that:①Industrial pollution intensity effect and industrial structure effect inhibited industrial solid waste production, while regional output effect and population size effect played a role in increasing the pollution; ②in different periods, the decoupling states of industrial solid waste in the Yangtze River Economic Belt were weak decoupling, weak decoupling and expansive negative decoupling. The decoupling indicator showed a trend of first decreasing and then increasing. It is suggested to guide investment to environment-friendly industries and strengthen the research on solid waste reduction technology.

scholarly journals Industrial solid waste strategies and policies for the south region of Rio de Janeiro state

2007 ◽  
pp. 679-688
Author(s):  
Darlan Pereira ◽  
Manuel Fonseca Almeida
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Rio De Janeiro ◽  
Solid Waste Management ◽  
Industrial Area ◽  
Industrial Wastes ◽  
Industrial Solid Waste ◽  
Waste Production ◽  
Industrial Waste Management ◽  
Janeiro State

The aim of this investigation was to propose guidelines (based on Europeans strategies andpolicies) in order to develop a plan for the industrial solid waste management in the SouthRegion of Rio de Janeiro State (Brazil), This region is an industrial area with significant wastemanagement problems. In order to properly manage waste production in this region, onemust know the amount, type, and composition of industrial wastes, as well as the managementpractices of the industries involved. In this investigation, questionnaires and secondary dataanalysis were used to collect infonnation regarding methods of waste management used in 30large-size manufacturing industries that produce 5.5% of the total waste generated. It wasobserved that paper and cardboard, plastic, wood, and metals were the most common types ofwaste, mainly generated from packaging (69% of the total volume), as well as material usedin containers and for unwrapping products. Serious problems were observed, like industrialsolid waste being sent to municipal landfills and irregular dumping. An overview of thecurrent solid waste management situation gives rise to a brief discussion on waste-to-energyopportunities and an integrated industrial waste management system for the region.

Study on the Equity of He’nan Resource-Environment Based on Ecological Capacity

2013 ◽  
Vol 448-453 ◽  
pp. 810-817
Author(s):  
Qing Song Li ◽  
Su Jun Deng ◽  
Wen Bo Song ◽  
Qing Xiang Meng ◽  
Jing Ying Zhao
Keyword(s):  
Energy Consumption ◽  
Solid Waste ◽  
Gini Coefficient ◽  
Industrial Waste ◽  
Henan Province ◽  
Pollutant Emissions ◽  
Security Level ◽  
Ecological Capacity ◽  
Waste Gas ◽  
The Gini Coefficient

The article made quantitative analysis of the fairness of resources environment 2007-2011 of He‘nan Province based on ecological capacity. The results show that (1) in recent 5years, the Gini Coefficient of the indicators based on ecological capacity is: solid waste>industrial waste gas>energy consumption>industrial waste water. And the Gini Coefficient of the first 3 is all > 0.4 which exceeds the international security level. There are great equity in solid waste, waste gas emission and energy consumption etc in the cities and areas of Henan province; (2) the 4 ecological load coefficient of Zhengzhou, Luoyang, Pingdingshan, Anyang, Hebi, Jiaozuo, Sanmenxia and Jiyuan are all>1. These cities and areas are the factors which caused the inequity of the energy consumption and pollutant emissions of Henan Province; (3) the inequity of the entire energy consumption and pollutant emissions of Henan Province are affected by the industrial spatial distributions. Equity and efficiency should be both considered and it should lay emphasis on the coordinated development of ecological economics.

Modeling Environmental Degradation and Economic Growth of Henan Province in Recent 25 Years

2014 ◽  
Vol 675-677 ◽  
pp. 1810-1814
Author(s):  
Shun Lei Peng ◽  
Nan Nan Wu ◽  
Gan Qing Zhao
Keyword(s):  
Solid Waste ◽  
Carbon Emissions ◽  
Industrial Wastewater ◽  
Henan Province ◽  
Per Capita Gdp ◽  
Exhaust Gases ◽  
Industrial Solid Waste ◽  
Waste Production ◽  
Per Capita ◽  
Industrial Exhaust

The environmental data (carbon emissions, industrial wastewater discharge, exhaust gases emissions and solid waste production.) and economic data (Per Capita GDP) from 1985 to 2010 was selected to fit environmental Kuznets curve (EKC). The results showed that all the EKC models were significantly fitted (p<0.01), the EKC shapes of Per Capita GDP (PCGDP) between carbon emissions, industrial exhaust gases emissions, and industrial solid waste production were inverted-U shape, respectively. The EKC shape of PCGDP and industrial wastewater was inverted-N shape. This study suggested that Henan Province is still at the stage of industrial development, and EKC turning points of carbon emissions, industrial exhaust gases, and industrial solid waste production have not been reached. Therefore, it is necessary to optimize and adjust energy-depended industry structure to improve environment quality and welcome EKC turning points coming as soon as possible.

scholarly journals SATUAN TIMBULAN DAN KOMPOSISI SAMPAH INDUSTRI KOTA PADANG

Jurnal Dampak ◽  
2013 ◽  
Vol 10 (1) ◽  
pp. 20
Author(s):  
Yenni Ruslinda
Keyword(s):  
Solid Waste ◽  
Industrial Waste ◽  
Large Scale ◽  
Solid Waste Management ◽  
Industrial Wastes ◽  
Small Scale ◽  
Waste Generation ◽  
Glass Waste ◽  
Industrial Solid Waste ◽  
Inorganic Waste

ABSTRAKDalam perencanaan dan pengembangan sistem pengelolaan sampah suatu kota, diperlukan data timbulan dan komposisi sampah dari berbagai sumber sampah. Penelitian ini bertujuan untuk menentukan timbulan dan komposisi sampah industri Kota Padang berdasarkan SNI 19-3964-1994. Dari penelitian diperoleh rata-rata sampah industri Kota Padang sebesar 5,057 kg/orang/hari (0,164 kg/m2/hari) dalam satuan berat atau 6,569 liter/orang/hari (0,441 liter/m2/hari) dalam satuan volume. Berdasarkan kategori industri (jumlah karyawan), timbulan sampah industri besar 9,606 liter/orang/hari, timbulan sampah industri sedang 5,644 liter/orang/hari, dan timbulan sampah industri kecil 4,457 liter/orang/hari. Produksi sampah mengalami pengurangan pada akhir minggu yaitu hari Jumat sampai hari Minggu karena waktu kerja lebih singkat dari hari biasanya. Komposisi sampah industri Kota Padang didominasi oleh sampah organik (79,31%) yang terdiri atas sampah makanan (9,90%), kertas (20,06%), plastik (18,86%), tekstil (8,69%), karet (1,62%), sampah halaman (0,54%), kayu (14,18%), dan kulit (5,47%), sedangkan sampah anorganik (20,69%) terdiri dari kaca (0,28%), kaleng (1,36%), logam (0,12%), dan lain-lain (serbuk gergaji, busa) sebesar 18,93%. Kajian awal pengolahan yang diusulkan untuk sampah industri berdasarkan data timbulan dan komposisi adalah daur ulang untuk sampah kertas dan plastik, dan reuse untuk sampah lain-lain (campuran tanah dan serbuk gergaji).Kata kunci: sampah industri, timbulan sampah, komposisi sampah ABSTRACTTo plan and develop a solid waste management system, some data are needed such as generation and composition of solid waste from several sources. The aim of this research was to determine the generated solid wastes and their composition from industrial wastes based on SNI 19-3964-1994. The researchs results shows that average waste generation for industrial solid waste in Padang city was 5,057 kg/person/day (0,164 kg/m2/day) in weight unit, or 6,569 liter/person/day (0,441 liter/m2/day) in volume unit. Based on industry category (number of employees), the generation of solid waste from large scale industries, medium scale industries, and small scale industries were 9,606 liter/person/day, 5,644 liter/person/day, and 4,457 liter/person/day consecutively. Waste productions were decreased at the end of the week (Friday to Sunday) due to shorter working time. The composition of the industrial solid waste was dominated by organic waste (79,31%) which consists of food waste 9,90%, paper waste 20,06%, plastics waste 18,86%, textiles waste 8,69%, rubber waste 1,62%, yard waste 0,54%, wood waste 14,18%, and leather waste 5,47%, while the 20,69% inorganic waste consists of glass waste 0,28%, tin 1,36%, metal 0,12%, and others (mixture of soil, sawdust) 18.93%. Preliminary assessment for the proposed processing industrial waste based on data of solid waste generation and composition were recycling for paper and plastic wastes, and reuse for other wastes (mixture of soil and sawdust).Keywords: industrial waste, waste generation, waste composition

Assessment of wood industrial pollutants based on emission coefficients in China

Holzforschung ◽  
2020 ◽  
Vol 74 (11) ◽  
pp. 1071-1078
Author(s):  
Jie Chu ◽  
Anuj Kumar
Keyword(s):  
Sustainable Development ◽  
Circular Economy ◽  
Industrial Waste ◽  
Water Discharge ◽  
Medium Density Fiberboard ◽  
Oxygen Demand ◽  
Low Carbon ◽  
The Sustainable Development ◽  
Waste Gas ◽  
Industrial Gases

AbstractThe implementation of circular economy in wood industries is an effective way for future sustainable development. The wood industries in China are not in the direction of circular economy approach due to less availability of assessment/calculation data of pollutants as per life cycle assessment (LCA) criteria. The present study focuses on the calculation of emission and pollutants from wood industries as per LCA; the emission and pollution data were collected from fiberboard Medium-density fiberboard (MDF), plywood and particleboard (PB) production. The comparative analysis of dust emissions, industrial waste gases and chemical oxygen demand (COD) were performed among three wood industries. The results revealed that the fiberboard industry was the highest emitter of dust, industrial waste gas and COD; and particleboard industry was the least emitter. Further, results indicated that pollutant index of wood industries were significantly changed between 2015 and 2017; the industrial waste water discharge increased five folds and the COD, dust and industrial gases increased two times. This study provides with the emission and pollutants data of wood industries as per LCA to promote the sustainable development for circular and low carbon economics.

Sign in / Sign up

Export Citation Format

Share Document