An Assessment of the Impact of Industrialization on Physical Environment and Socio-economic Conditions around the Alipur Industrial Area, Bangladesh

2021 ◽  
Vol 5 (2) ◽  
pp. 309-325
Author(s):  
Md Muyeed Hasan ◽  
Rony Basak ◽  
Minhaz Hasan Sujan ◽  
Md Najmul Kabir ◽  
Debjani Das ◽  
...  
Keyword(s):  
Physical Environment ◽  
Industrial Area ◽  
Quality Parameters ◽  
Economic Conditions ◽  
Research Model ◽  
Aquatic Life ◽  
Industrial Parks ◽  
Traffic Systems ◽  
The Impact ◽  
Watson Statistic

Massive industrialization promotes economic growth and causes environmental pollution and degradation. The purpose of this research is to determine the impact of industrialization on the physical environment and socio-economic condition at Alipur industrial areas, Habiganj, Bangladesh, by measuring water, soil, air, sound quality parameters and a random sampling questionnaire survey on socio-economic conditions. Most of the measured physicochemical parameters exceeded the acceptable limit of inland surface water. The pH of the effluent water ranged from 4.83 to 8.58, which was found lower than the standard level for two points. The DO level was within the range of 1.98 to 3.32 mg/L indicating that aquatic life is in danger because of the lower level of DO. BOD, COD, TSS, and TDS ranged from 133 to 255.8 mg/L, 330 to 566 mg/L, 1960 to 2170 mg/L and 4110 to 5500 mg/L, respectively. The concentration of Nitrates (14.63 mg/l), Phosphate (10.33 mg/l), and Copper (5.49 mg/l) in the water samples found more than the inland surface, public sewer STP, and Irrigated land standard.  The concentrations of CO (10.71), NO2 (90.56), and SO2 (104.34) in the air are near the acceptable level, indicating that the air was moderately polluted. The Durbin-Watson statistic is 0.495 from the model summary indicating the research model has a positive auto-correction, and the coefficient of significance is at 0.00, and Test F at 150.345 suggests that the model is suitable. Furthermore, the coefficient of the land area lost due to industrial park construction is found at 0.00, indicating household income increased when people lose land and non-agricultural sectors like building houses, investing in services, traffic systems. On the other hand, it is undeniable that few members whose land is acquired turned unemployed during industrial parks, resulting in the high number of unemployed workers being high and income declines.

Influence of anthropogenic activity to the macronutrient loading in water and soil – Case study of industrial area

2020 ◽  
pp. 81-92
Author(s):  
Oana Romina Botoran ◽  
◽  
Mihaela Iordache ◽  
Claudia Sandru ◽  
Marius Miricioiu ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Base Cations ◽  
Industrial Area ◽  
Quality Parameters ◽  
Anthropogenic Activity ◽  
Physico Chemical ◽  
The Impact

Mining activities, in combination with accelerated urbanization growth and climate change, constitutes a major challenge for creating a sustainable development. Thus, the monitoring and assessment of mining effect is mandatory in understanding the impact on the primary physico-chemical characteristics of an environment. In this context, the paper presents the evolution of micro- and macro- nutrients in water, soil and sediment from two industrial areas from Romania (Copșa Mică industrial platform and Baia Sprie mining zone), in order to assess the impact of pollutants on ecosystems. Physico-chemical (pH, NH4+, NO3-, NO2-, TN, TP), base cations (Ca, Mg, Na and K) and micronutrients (Fe, Mn and Zn) have been analyzed in order to evaluate the quality of the environment. For some of the analyzed soils, the concentration of Zn, Mn and Fe exceeded the maximum permissible limits (MPL) imposed by the Romanian legislation, falling within the limit for Alert Thresholds for less sensitive soils. The correlation analysis on water quality parameters revealed that all parameters are more or less correlated with each other Person’s Correlation matrix. Overall, our results demonstrated that the knowledge of the physico-chemical regime of an environment is of great value in the determination of its productivity, usefulness and other characteristics which can facilitate further vegetation restoration and reconstruction and a sustainable development of the ecological environment in a polluted area.

scholarly journals Measures for Improving the Quality of Watercourses in the Impact Area of the Baia Mare Industrial Perimeter

2013 ◽  
Vol 70 (2) ◽  
pp. 403-407
Author(s):  
Oana MARE ROȘCA ◽  
Lucia MIHALESCU ◽  
Zorica VOȘGAN ◽  
Monica MARIAN
Keyword(s):  
Environmental Parameters ◽  
Industrial Area ◽  
Aquatic Communities ◽  
Aquatic Life ◽  
Local Conditions ◽  
Quality Of Water ◽  
Baia Mare ◽  
Impact Area ◽  
The Impact

The Baia Mare industrial area is located in the Baia Mare Depression (NW Romania). The main source of impact on the watercourses of the Baia Mare industrial area is the exploitation of non-ferrous ores that, over time, a number of changes generated in the environmental parameters. The main drainage axis of the above noted industrial center is formed by the Săsar River and the Firiza River. Since the response of the aquatic communities to the environmental factors best reveal the local conditions; the zoobenthos communities in 10 stations located in the Săsar basin were analyzed during 2003-2009. Contributions to improving the quality of water contaminated by the industrial effluents.    In the conditions of limiting disturbances that block the detoxification and self-purification processes, there are prerequisites for improving the quality of aquatic life.

Economic Significance of Social Capital

2011 ◽  
pp. 46-65 ◽  
Author(s):  
L. Polishchuk ◽  
R. Menyashev
Keyword(s):  
Social Capital ◽  
Collective Action ◽  
Common Good ◽  
Economic Conditions ◽  
Formal Institutions ◽  
Transmission Channels ◽  
Economic Significance ◽  
Bonding And Bridging ◽  
The Impact

The paper deals with economics of social capital which is defined as the capacity of society for collective action in pursuit of common good. Particular attention is paid to the interaction between social capital and formal institutions, and the impact of social capital on government efficiency. Structure of social capital and the dichotomy between its bonding and bridging forms are analyzed. Social capital measurement, its economic payoff, and transmission channels between social capital and economic outcomes are discussed. In the concluding section of the paper we summarize the results of our analysis of the role of social capital in economic conditions and welfare of Russian cities.

PENGARUH PRODUK DOMESTIK BRUTO, INFLASI DAN RASIO GINI TERHADAP PENGANGGURAN TERBUKA DI PROVINSI DKI JAKARTA

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Sri Mahendra Putra Wirawan
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Economic Conditions ◽  
Research Model ◽  
Economic Region ◽  
Regression Methods ◽  
Price Increases ◽  
Comprehensive Picture ◽  
Development Goals ◽  
The Relationship

Gross Regional Domestic Product (GRDP) which provides a comprehensive picture of the economic conditions of a region is indicator for analyzing economic region development. Another indicator that is no less important is inflation as an indicator to see the level of changes in price increases due to an increase in the money supply that causes rising prices. The success of development must also look at the income inequality of its population which is illustrated by this ratio. One of the main regional development goals is to improve the welfare of its people, where to see the level of community welfare, among others, can be seen from the level of unemployment in an area. To that end, in order to get an overview of the effects of GRDP, inflation and the ratio of gini to unemployment in DKI Jakarta for the last ten years (2007-2016), an analysis was carried out using multiple linear regression methods. As a result, together the relationship between GRDP, inflation and the Gini ratio is categorized as "very strong" with a score of 0.936, and has a significant influence on unemployment. Partially, the GRDP gives a significant influence, but inflation and gini ratio do not have a significant influence. GDP, inflation and the Gini ratio together for the last ten years have contributed 81.4% to unemployment in DKI Jakarta, while the remaining 18.6% is influenced by other variables not included in this research model, so for reduce unemployment in DKI Jakarta, programs that are oriented to economic growth, suppressing inflation and decreasing this ratio need to be carried out simultaneously. Keywords: GRDP, inflation, unemployment, DKI Jakarta, GINI ratio  

THE IMPACT OF THE PHYSICAL ENVIRONMENT ON RESIDENTS’ SELF-RATED HEALTH: A CASE STUDY IN PENANG, MALAYSIA

2020 ◽  
Vol 6 (1) ◽  
pp. 109
Author(s):  
Massoomeh Hedayati ◽  
Aldrin Abdullah ◽  
Mohammad Javad Maghsoodi Tilaki
Keyword(s):  
Physical Environment ◽  
Fear Of Crime ◽  
Structural Equation ◽  
Well Being ◽  
Living Environment ◽  
Housing Quality ◽  
Self Rated Health ◽  
Environment And Health ◽  
The Impact ◽  
The Relationship

There is continuous debate on the impact of house quality on residents’ health and well-being. Good living environment improves health, and fear of crime is recognised as a mediator in the relationship between physical environment and health. Since minimal studies have investigated the relationship, this study aims to examine the impact of the house quality on fear of crime and health. A total of 230 households from a residential neighbourhood in Malaysia participated in the study. Using structural equation modelling, the findings indicate that housing quality and fear of crime can account for a proportion of the variance in residents’ self-rated health. However, there is no significant relationship between housing quality and fear of crime. Results also show that fear of crime does not mediate the relationship between housing quality and health. This study suggests that the environment-fear relationship should be re-examined theoretically.  

Effect of Integrated Nutrient Management on Yield and Quality of Garlic cv. Yamuna Safed-3

2020 ◽  
Vol 7 (04) ◽  
Author(s):  
A B Priyanshu ◽  
M K Singh ◽  
Mukesh Kumar ◽  
Vipin Kumar ◽  
Sunil Malik ◽  
...  
Keyword(s):  
Nutrient Management ◽  
Block Design ◽  
Quality Parameters ◽  
Organic Fertilizers ◽  
Research Centre ◽  
Yield And Quality ◽  
Randomized Block Design ◽  
The Impact ◽  
Horticultural Research

An experiment was conducted at Horticultural Research Centre, SVP University of Agriculture and Technology, Meerut (UP) during Rabi season of 2018-19 to assess the impact of different INM doses on yield and quality parameters of garlic. A total of ten treatments consisting of combinations of inorganic fertilizers, organic fertilizers and bio-fertilizers like T1- (Control), T2RDF (100:50:50 kg NPK ha-1), T3-RDF + 20 kg sulphur + FYM 20 ton ha-1, T4- RDF + 20 kg sulphur + VC 4 ton ha-1, T5- 75% RDF + 40 kg sulphur + 5 ton FYM ha-1+ PSB 5 kg ha-1, T6-75% RDF + 40 kg sulphur + 2 ton VC + Azotobacter 5 kg ha-1, T7- 75% RDF + 40 kg sulphur + FYM 3 ton + VC 1 ton+ PSB 5 kg + Azotobacter 5kg ha-1, T8- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg ha-1, T9- 50% RDF + 40 kg sulphur + FYM5 ton + VC 2 ton+ Azotobacter 5 kg ha-1and T10- 50% RDF + 40 kg sulphur + FYM 5 ton + VC2 ton + PSB 5 kg + Azotobacter 5 kg ha-1 were used in Randomized Block Design and replicated thrice. Out of these an application of T7 (75% RDF + 40 kg sulphur + FYM3 ton + VC 1 ton ha-1 + PSB 5 kg + Azotobacter 5 kg ha-1) was found to be significantly superior in term of yield and attributing parameters of garlic.

Análise da relação entre O3, NO e NO2 usando técnicas de regressão linear múltipla.

GEOgraphia ◽  
2018 ◽  
Vol 20 (43) ◽  
pp. 124
Author(s):  
Amaury De Souza ◽  
Priscilla V Ikefuti ◽  
Ana Paula Garcia ◽  
Debora A.S Santos ◽  
Soetania Oliveira
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Nitrogen Dioxide ◽  
Multiple Linear Regression ◽  
Quality Parameters ◽  
Environmental Pollutant ◽  
Environmental Research ◽  
Linear Regression Models ◽  
Mato Grosso ◽  
The Impact

Análise e previsão de parâmetros de qualidade do ar são tópicos importantes da pesquisa atmosférica e ambiental atual, devido ao impacto causado pela poluição do ar na saúde humana. Este estudo examina a transformação do dióxido de nitrogênio (NO2) em ozônio (O3) no ambiente urbano, usando o diagrama de séries temporais. Foram utilizados dados de concentração de poluentes ambientais e variáveis meteorológicas para prever a concentração de O3 na atmosfera. Foi testado o emprego de modelos de regressão linear múltipla como ferramenta para a predição da concentração de O3. Os resultados indicam que o valor da temperatura e a presença de NO2 influenciam na concentração de O3 em Campo Grande, capital do Estado do Mato Grosso do Sul. Palavras-chave: Ozônio. Dióxido de nitrogênio. Séries cronológicas. Regressões. ANALYSIS OF THE RELATIONSHIP BETWEEN O3, NO AND NO2 USING MULTIPLE LINEAR REGRESSION TECHNIQUES.Abstract: Analysis and prediction of air quality parameters are important topics of current atmospheric and environmental research due to the impact caused by air pollution on human health. This study examines the transformation of nitrogen dioxide (NO2) into ozone (O3) in the urban environment, using the time series diagram. Environmental pollutant concentration and meteorological variables were used to predict the O3 concentration in the atmosphere. The use of multiple linear regression models was tested as a tool to predict O3 concentration. The results indicate that the temperature value and the presence of NO2 influence the O3 concentration in Campo Grande, capital of the State of Mato Grosso do Sul.Keywords: Ozone. Nitrogen dioxide. Time series. Regressions. ANÁLISIS DE LA RELACIÓN ENTRE O3, NO Y NO2 UTILIZANDO MÚLTIPLES TÉCNICAS DE REGRESIÓN LINEAL.Resumen: Análisis y previsión de los parámetros de calidad del aire son temas importantes de la actual investigación de la atmósfera y el medio ambiente, debido al impacto de la contaminación atmosférica sobre la salud humana. Este estudio examina la transformación del dióxido de nitrógeno (NO2) en ozono (O3) en el entorno urbano, utilizando el diagrama de series de tiempo. Las concentraciones de los contaminantes ambientales de datos y variables climáticas fueron utilizadas para predecir la concentración de O3 en la atmósfera. El uso de múltiples modelos de regresión lineal como herramienta para predecir la concentración de O3 se puso a prueba. Los resultados indican que el valor de la temperatura y la presencia de NO2 influyen en la concentración de O3 en Campo Grande, capital del Estado de Mato Grosso do Sul.Palabras clave: Ozono. Dióxido de nitrógeno. Series de tiempo. Regresiones.

scholarly journals PC12 and THP-1 Cell Lines as Neuronal and Microglia Model in Neurobiological Research

2021 ◽  
Vol 11 (9) ◽  
pp. 3729
Author(s):  
Katarzyna Balon ◽  
Benita Wiatrak
Keyword(s):  
Cell Culture ◽  
Dna Damage ◽  
Cell Lines ◽  
Inflammatory Factor ◽  
Research Model ◽  
Differentiated Cells ◽  
Undifferentiated Cells ◽  
Primary Cell Lines ◽  
Neurobiological Research ◽  
The Impact

Models based on cell cultures have become a useful tool in modern scientific research. Since primary cell lines are difficult to obtain and handle, neoplasm-derived lines like PC12 and THP-1 offer a cheap and flexible solution for neurobiological studies but require prior differentiation to serve as a neuronal or microglia model. PC12 cells constitute a suitable research model only after differentiation by incubation with nerve growth factor (NGF) and THP-1 cells after administering a differentiation factor such as phorbol 12-myristate-13-acetate (PMA). Still, quite often, studies are performed on these cancer cells without differentiation. The study aimed to assess the impact of PC12 or THP-1 cell differentiation on sensitivity to harmful factors such as Aβ25-35 (0.001–5 µM) (considered as one of the major detrimental factors in the pathophysiology of Alzheimer’s disease) or lipopolysaccharide (1–100 µM) (LPS; a pro-inflammatory factor of bacterial origin). Results showed that in most of the tests performed, the response of PC12 and THP-1 cells induced to differentiation varied significantly from the effect in undifferentiated cells. In general, differentiated cells showed greater sensitivity to harmful factors in terms of metabolic activity and DNA damage, while in the case of the free radicals, the results were heterogeneous. Obtained data emphasize the importance of proper differentiation of cell lines of neoplastic origin in neurobiological research and standardization of cell culture handling protocols to ensure reliable results.

scholarly journals Effect of Storage Conditions on Storability and Antioxidant Potential of Pears cv. ‘Conference’

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 545
Author(s):  
Grzegorz P. Łysiak ◽  
Krzysztof Rutkowski ◽  
Dorota Walkowiak-Tomczak
Keyword(s):  
Mass Loss ◽  
Strong Influence ◽  
Storage Conditions ◽  
Quality Parameters ◽  
Soluble Solids ◽  
Controlled Atmosphere ◽  
Postharvest Diseases ◽  
Market Prices ◽  
Long Period ◽  
The Impact

Late pear cultivars, such as ‘Conference’, can be stored for a long period if kept in good storage conditions. A three-year study (2011–2013) compared the impact of six-month storage using four technologies—normal atmosphere, normal atmosphere + 1-methylcyclopropene (1-MCP), controlled atmosphere, and controlled atmosphere + 1-MCP—on the quality parameters of ‘Conference’ pears, such as mass loss, firmness, total soluble solids, acidity, antioxidant capacity, and the incidence of diseases and disorders. Additionally, the study analysed different storage conditions in terms of profitability, based on the market prices for pears in the seasons during which the pears were stored. The storage conditions had a very strong influence on the fruit quality parameters, and were found to affect most visibly the mass loss and the incidence of postharvest diseases and disorders. The storage of ‘Conference’ pears for 180 days in normal atmosphere is not economically viable, even if the fruit is subjected to 1-MCP treatment; at the same time, it is profitable to store ‘Conference’ pears in controlled atmosphere for the same period, no matter whether 1-MCP was applied or not.

scholarly journals Effect of Maritime Traffic on Water Quality Parameters in Santa Marta, Colombia

2021 ◽  
Vol 9 (5) ◽  
pp. 474
Author(s):  
René Rodríguez-Grimón ◽  
Nestor Hernando Campos ◽  
Ítalo Braga Castro
Keyword(s):  
Water Quality ◽  
Petroleum Hydrocarbons ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Maritime Traffic ◽  
Natural Park ◽  
High Concentrations ◽  
The Impact ◽  
The Relationship ◽  
Multiple Chemical

Since 2013, there has been an increase (>23%) in naval traffic using maritime routes and ports on the coastal fringe of Santa Marta, Colombia. Of major concern, and described by several studies, is the relationship between maritime traffic and coastal contamination. This study proposed a maritime traffic indicator considering the simultaneous effects of several relevant measurements of water quality parameters to estimate the impact of naval activity. The approach involved developing a model including the number of vessels, hull length, and permanence time in berths. In addition, water quality variables, considering climatic seasons, were used to verify association with maritime traffic and touristic activities. The high concentrations of total coliforms (TC) and dissolved/dispersed petroleum hydrocarbons in chrysene equivalents (DDPH) reported by the International Marina of Santa Marta (SM) were affected by the local anthropic activities, including tourism, naval traffic, and urban wastewater discharges. Moreover, our results suggest the occurrence of multiple chemical impacts within Tayrona National Natural Park (PNNT) affecting conservation goals. The estimation of the maritime traffic indicator proposed in this study may be an easy and more complete tool for future studies evaluating the impact of naval activities on environmental quality.

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