Study on Grey Clustering Model of Indoor Air Quality Indicators

Zhu, Chihui; Li, Nianping

doi:10.1016/j.proeng.2017.09.895

Cited by 10 publications

(9 citation statements)

References 1 publication

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“…ρ is the distinguishing coefficient, which takes a value between 0 and 1. After comparing the ρ values in the related literature [47,48], we set ρ = 0.5 to avoid the influence of the extreme values on the calculation results.…”

Section: The Improved Grey Relational Degree Methodsmentioning

confidence: 99%

Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai

Yan

Sun

et al. 2019

Sustainability

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In recent years, China's urban air pollution has caused widespread concern in the academic world. As one of China's economic and financial centers and one of the most densely populated cities, Shanghai ranks among the top in China in terms of per capita energy consumption per unit area. Based on the Shanghai Energy Statistical Yearbook and Shanghai Air Pollution Statistics, we have systematically analyzed Shanghai’s atmospheric pollutants from three aspects: Primary pollutants, pollutants changing trends, and fine particulate matter. The comprehensive pollution index analysis method, the grey correlation analysis method, and the Euclid approach degree method are used to evaluate and analyze the air quality in Shanghai. The results have shown that Shanghai's primary pollutants are PM2.5 and O3, and the most serious air pollution happens during the first half of the year, particularly in the winter. This is because it is the peak period of industrial energy use, and residential heating will also lead to an increase in energy consumption. Furthermore, by studying the particulate pollutants of PM2.5 and PM10, we clearly disclosed the linear correlation between PM2.5 and PM10 concentrations in Shanghai which varies seasonally.

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Section: The Improved Grey Relational Degree Methodsmentioning

confidence: 99%

Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai

Yan

Sun

et al. 2019

Sustainability

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“…In 2009, David Fletcher expressed in his paper “Landscape Urbanism and the Los Angeles River” that in the process of urban construction. The understanding of ecology should not only consider the external conditions of the city but also analyze the relationship between the environmental atmosphere and the physical location of the city, which is guided by the concept of landscape urbanism and takes the Los Angeles River as its object [ 4 ]. A series of strategies such as traffic flow lines, water area restoration, and urban development in urban open space are explored.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis of Quantitative Architectural Space Index Based on Analytic Hierarchy Process

Tian

Liu

Yong

et al. 2022

Computational Intelligence and Neuroscience

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With the continuous development of the social economy, the urban residential structure is also changing, and people have higher and higher requirements for the living environment. Moreover, the landscape construction of public spaces in cities is an important part of the city. It is easy to neglect the comprehensive consideration of historical development and regional culture in architectural projects. The overall lack of individuality in urban design, the lack of characteristics of adapting measures to local conditions, and the blind emphasis on architectural landscaping have led to a serious lack of regional cultural characteristics and spiritual culture in public places. Therefore, in terms of the problems of insufficient landscape construction quality and green concepts being insufficient in the construction environment of cities, an evaluation method system is established in the paper to further study the shortcomings of the scenic area architecture. What is more, relying on the personal experience of the users in the scenic spot and understanding the real needs of the public space landscape environment around the scenic spot, scientific methods and a complete system are applied to make an overall assessment of the public space in the built residential area. Besides, according to the data analysis of the simulation experiment, the advantages and disadvantages of the public space in the residential area are extracted. Combined with the current research status, the green concept design strategy of the public space landscape environment in the scenic spot is summarized. Lastly, according to the data analysis of the simulation experiment, the evaluation satisfaction of the activity atmosphere, plant configuration, and overall layout is improved by 4.2%, 3.7%, and 3.1% compared with other methods, which proves that this study has a more reasonable planning program to meet the various needs of public open space. The development of urban landscape design provides a valuable reference.

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“…Grey Clustering is a method that can be applied by incidence of grey matrices or grey bleaching weight functions. In this work, we use triangular center-point whitening weight functions (CTWF), since CTWF are applied mainly to test if the observation objects belong to predetermined classes, called grey classes [6], as shown by the decision making studies [7], to determine key indicators [8], for the evaluation of safety management [9], project location selection [10], air quality assessment [11], water resources management. The CTWF could be applied to classify monitoring points in water quality assessment; therefore, in this study 4 monitoring points will be identified, both upstream, and downstream of the Yauli and Andaychagua rivers, taking as standard values the environmental water quality standards, category 3, using the CTWF method.…”

Section: Introductionmentioning

confidence: 99%

Impact of the Mining Activity on the Water Quality in Peru Applying the Fuzzy Logic with the Grey Clustering Method

Delgado¹,

Fernández²,

Chirinos³

et al. 2021

IJACSA

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Mining activity in the department of Junín, Peru, is intense, due to the great existing mining-metallic potential that exists in the place, the Yauli and Andaychagua rivers, located in the Yauli Province, belonging to Junín, receive a large volume of discharges causing deterioration in the quality of the water of these rivers. To evaluate this quality in an integral way, fuzzy logic will be applied with the Grey Clustering methodology, defining the central point triangular whitening weight functions (CTWF), having as grey classes the Environmental Quality Standards for water (ECA-Water), Category 3, which were modified for research purposes. Four monitoring points were evaluated, both upstream (point PY-01) and downstream (PY-02) of the Yauli River; as upstream (PA-01) and downstream (PA-02) of the Andaychagua river. From the analysis it was determined that the water quality in PY-01 is 0.7302, 0.8795 in the dry season and 0.5980 in the wet season; in PY-02, 0.5448, 0.6448 in dry season and 0.5628 in wet season were obtained. At point PA-01 it is 0.8213, 0.8691 in dry season and 0.7902 in wet season; In PA-02, 0.8385, 0.8827 in the dry season and 0.8118 in the wet season were obtained, concluding that there is good water quality, decreasing in wet seasons, this due to the influence of the rains in the contact waters.The research provides an integration of the parameters that are considered in the ECA-Water with other international standards allowing to determine a more precise evaluation of the quality status of the Yauli and Andaychagua rivers after receiving the effluents generated by the mining activity, benefiting the relevant authorities for decision making and providing a methodology that improves the analysis of the results obtained by the specific parameters that are evaluated in the environmental monitoring.

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Study on Grey Clustering Model of Indoor Air Quality Indicators

Cited by 10 publications

References 1 publication

Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai

Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai

Evaluation and Analysis of Quantitative Architectural Space Index Based on Analytic Hierarchy Process

Impact of the Mining Activity on the Water Quality in Peru Applying the Fuzzy Logic with the Grey Clustering Method

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