Articles in Press

In recent years, the need for the rapid development of rural tourism in China has resulted in a large consumption of ecological resources, which has seriously damaged the ecological balance of travel destinations. Rural tourism in many parts of China is increasingly lacking distinctive local characteristics. It is difficult to adapt to tourists’ requirements for a deeper experience of rural travel. Some measures have been proposed to address these issues. Firstly, the connotation of “green” is reinterpreted based on relevant theoretical knowledge starting from solving the problem of rural tourism community development in China. The questionnaire method is used to screen the indicator system. An empirical analysis is carried out for actual cases. The pictures uploaded by tourists to social media are the main data source. A relatively complete and effective method system for the image research of rural tourism destinations is constructed combined with the visual analysis technology based on deep learning. A dense CNN model producing 10 output parameter combined with various factors is formed to assist the promotion by comparing the differences between the advertising pictures of the tourist destination and the pictures taken by tourists. The results show obvious consistency in the construction scene of the rural travel perception environment. Each tourist destination has its own visual characteristics, as well as differences in various sensory modality types. This research method adopts a combination of subjective and objective and comprehensively examines the scene conspicuousness, distinction, artistic quality, design quality, and time of the pictures. The formed marketing picture research method is more scientific and feasible.

In concrete industry, the use of concrete solid wastes is becoming further common since it can minimize associated costs and environmental implications. The current research looks at how concrete performs when polypropylene (PP) plastic, produced from pollution garbage items, is used as a partially replacing for coarse aggregate (CA). The proportion of total PP (PPA) (0, 5, 10, 15, and 20%) as well as the water-cement ratio 0.45 of recycled household waste water, are the most important variables. Flow ability, hard porosity, maximum compressive strengths are all factors to consider, and economic feasibility are all discussed. The slump value grew when the proportion of PPA was raised, according to the findings. Compressive and cracking tensile strengths were increased in concrete containing 15% PPA. As a result, suggested to utilize more than 10% PPA in structural concrete, with either crushed stone or PP aggregate. The results showed that 15% is the best alternative to coarse gravel during terms of strength and durability, and hence PPA can be utilized as a partial replacement for coarse aggregate in concrete. To conduct studies to enhance the impact resistance of concrete by utilizing recycled water. Reducing the consumption of nonrenewable resources reducing greenhouse gas emissions and improving the strength and load capacity of industrial materials used in building research. Finally, employing non-biodegradable waste plastic resources to make green concrete will offer up new possibilities.

The level of air pollution increased in urban areas due to local atmospheric conditions and dispersion of various air pollutants. In this study, the air quality index was carried out in four places in the urban zone and investigated the seasonal variation of PM2.5, PM10, SO2, NO2, and O3 over one year (2021) by considering the meteorological parameters in Coimbatore. Furthermore, fluidyn-PANACHE, a CFD tool, has been used to simulate the dispersion pattern of gaseous pollutants in the selected locations. To track the model, the concentration details of gaseous pollutants were collected and pollutant dispersion under numerous atmospheric conditions (Humidity, Temperature, Pressure) was identified using fluidyn-PANACHE software. From the collected air samples and dispersion pattern, SO2 and O3 show higher concentrations in summer. Particulate matter and NO2 show higher concentrations in winter due to seasonal variations in energy use and atmospheric constancy. Pearson correlation coefficients indicate most pollutants are correlated in Coimbatore except Ozone. Compared to the AQI category given by CPCB, the selected four locations are in the moderate category. However, increased PM10 levels were observed at all the selected zones in winter due to the process of inversion and environmental conditions.

Rapid urbanisation, industrialization, and population growth have fostered an urgent need for a green, clean-living environment. Among the many pollutants, gaseous pollutants like NO2, SO2, and particle pollutants like PM 2.5 and PM 10 have a profound negative impact on human health. In this investigation, samples of air pollutants like NO2, SO2, PM 2.5, and PM 10 were taken at ten different sites inside the Tirupur corporation boundaries. For the locations taken into consideration, the Air Quality Index has been calculated using the Central Pollution Control Board's model. Utilizing inverse weighted distance (IDW), these data are interpolated and integrated into a geographic information system (GIS). It was discovered that the level of secondary industries and the density of automobiles had a substantial impact on air quality. Results indicate that PM 10 concentrations in the new bus stop and RakkiyapalayamPirivu are 113.7 mg/m3 and 134.73 mg/m3, respectively, which are comparatively higher than the permitted level specified in IS 5182. The areas with the most vehicular traffic and industry include the new bus stop location and RakkiyapalayamPirivu. Thus, the main sources of pollution in the study region are an increase in automobile traffic and industrial development. A clear indication of the area where the concentration of pollutants is high is provided by integrating the pollutant data with geographic information systems, and this enables local government agencies to conduct in-depth environmental evaluations. This aids planners in their decision-making for sustainable development.