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  • Open Access

    ARTICLE

    Pioneering Micro-Scale Mapping of Urban CO Emissions from Fossil Fuels with GIS

    Loghman Khodakarami*

    Revue Internationale de Géomatique, Vol.33, pp. 221-246, 2024, DOI:10.32604/rig.2024.050908

    Abstract Urban areas globally are escalating contributors to carbon dioxide (CO) emissions, challenging sustainable development. This study proposes a novel micro-scale approach utilizing GIS to quantify CO emission spatial distribution, enhancing urban sustainability assessment. Employing a “bottom-up” methodology, emissions were calculated for various sources, revealing Isfahan’s urban area emits 13,855,525 tons of CO annually. Major contributors include stationary and mobile sources such as power plants (50.61%), road and rail transport (17.18%), and residential sectors (21.78%). Spatial distribution mapping showed that 81.68% of CO emissions originate from stationary sources, notably power plants. Furthermore, mobile sources, including road More >

  • Open Access

    ARTICLE

    Monitoring Study of Long-Term Land Subsidence during Subway Operation in High-Density Urban Areas Based on DInSAR-GPS-GIS Technology and Numerical Simulation

    Yu Song1, Xuejun Chen1, Baoping Zou2,*, Jundong Mu3, Rusheng Hu4, Siqi Cheng5, Shengli Zhao3

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1021-1039, 2023, DOI:10.32604/cmes.2022.021164

    Abstract During subway operation, various factors will cause long-term land subsidence, such as the vibration subsidence of foundation soil caused by train vibration load, incomplete consolidation deformation of foundation soil during tunnel construction, dense buildings and structures in the vicinity of the tunnel, and changes in water level in the stratum where the tunnel is located. The monitoring of long-term land subsidence during subway operation in high-density urban areas differs from that in low-density urban construction areas. The former is the gathering point of the entire urban population. There are many complex buildings around the project,… More >

  • Open Access

    ARTICLE

    Air Quality Predictions in Urban Areas Using Hybrid ARIMA and Metaheuristic LSTM

    S. Gunasekar*, G. Joselin Retna Kumar, G. Pius Agbulu

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1271-1284, 2022, DOI:10.32604/csse.2022.024303

    Abstract Due to the development of transportation, population growth and industrial activities, air quality has become a major issue in urban areas. Poor air quality leads to rising health issues in the human’s life in many ways especially respiratory infections, heart disease, asthma, stroke and lung cancer. The contaminated air comprises harmful ingredients such as sulfur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter of PM10, PM2.5, and an Air Quality Index (AQI). These pollutant ingredients are very harmful to human’s health and also leads to death. So, it is necessary to develop a prediction model for… More >

  • Open Access

    ARTICLE

    Classification of Emergency Responses to Fatal Traffic Accidents in Chinese Urban Areas

    Pengfei Gong1,2, Qun Wang2,*, Junjun Zhu3

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1389-1408, 2021, DOI:10.32604/cmc.2021.016483

    Abstract Fatal traffic accidents in urban areas can adversely affect the urban road traffic system and pose many challenges for urban traffic management. Therefore, it is necessary to first classify emergency responses to such accidents and then handle them quickly and correctly. The aim of this paper is to develop an evaluation index system and to use appropriate methods to investigate emergency-response classifications to fatal traffic accidents in Chinese urban areas. This study used a multilevel hierarchical structural model to determine emergency-response classification. In the model, accident attributes, urban road network vulnerability, and institutional resilience were… More >

  • Open Access

    ARTICLE

    The population ecology of Securidaca longepedunculata Fresen. in the Nylsvley Nature Reserve, Limpopo Province, South Africa

    Tshisikhawe MP, O Baloyi, MH Ligavha-Mbelengwa, RB Bhat

    Phyton-International Journal of Experimental Botany, Vol.81, pp. 107-112, 2012, DOI:10.32604/phyton.2012.81.107

    Abstract Securidaca longepedunculata Fresen., commonly known as the violet tree, belongs to the family Polygalaceae. It is widely distributed in tropical Africa, Mozambique, as well as in the North- West and Limpopo provinces of South Africa. The Vhavenda people use the roots of this species as an aphrodisiac. The species is co-dominant in the savanna vegetation of the Nylsvley Nature Reserve. This research looked at the ecology of the study species within the Nylsvley Nature Reserve because of its importance there. Understanding the population structure and environmental factors that impact on the species might help in assessing More >

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