The Experts below are selected from a list of 40029 Experts worldwide ranked by ideXlab platform
Yi Liu - One of the best experts on this subject based on the ideXlab platform.
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effects of china s Urban form on Urban Air Quality
Urban Studies, 2016Co-Authors: Yi LiuAbstract:Poor Urban Air Quality in China has received global attention. This article analyses the extent to which the Urban form of all provincial and prefectural cities in China affects Urban Air Quality. A geographically weighted regression model was used to quantify the relationship between the Urban form indices, as well as the satellite-derived pollutant column density of NO2 and SO2. The results show that Urban form has a significant effect on the Urban Air Quality in China. The effect of Urban form on Air Quality varies among the cities in this vast region. The compact ratio index is negatively correlated with both NO2 and SO2 column density for most of the cities. An ‘X’- or ‘H’-shaped city has less Air pollution than a rhomboid-shaped city when the city is located in northern or central China. In comparison, the fractal dimension index is not a statistically significant predictor of Air Quality. Urban form can have effects on Air Quality that are equivalent to some meteorological and socioeconomic factors.
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Effects of China’s Urban form on Urban Air Quality
Urban Studies, 2016Co-Authors: Yi LiuAbstract:Poor Urban Air Quality in China has received global attention. This article analyses the extent to which the Urban form of all provincial and prefectural cities in China affects Urban Air Quality. A geographically weighted regression model was used to quantify the relationship between the Urban form indices, as well as the satellite-derived pollutant column density of NO2 and SO2. The results show that Urban form has a significant effect on the Urban Air Quality in China. The effect of Urban form on Air Quality varies among the cities in this vast region. The compact ratio index is negatively correlated with both NO2 and SO2 column density for most of the cities. An ‘X’- or ‘H’-shaped city has less Air pollution than a rhomboid-shaped city when the city is located in northern or central China. In comparison, the fractal dimension index is not a statistically significant predictor of Air Quality. Urban form can have effects on Air Quality that are equivalent to some meteorological and socioeconomic factors.
Mukesh Khare - One of the best experts on this subject based on the ideXlab platform.
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ambient Air pollutant monitoring and analysis protocol for low and middle income countries an element of comprehensive Urban Air Quality management framework
Atmospheric Environment, 2020Co-Authors: Sunil Gulia, Isha Khanna, Komal Shukla, Mukesh KhareAbstract:Abstract Rapid Urbanization along with industrial growth is one of the major causes of elevated Air pollution levels in Urban areas of low and middle income countries (LMICs). They are further associated with adverse health impacts within Urban ecosystems. In order to manage and control deteriorating Urban Air Quality, an efficient and effective Urban Air Quality management plan is required consisting of systematic sampling, monitoring and analysis; modelling; and control protocols. Air Quality monitoring is the essential and basic step that develops foundation of any management plan. The present research article describes a comprehensive methodology for establishing a systematic and robust Air Quality monitoring network in LMICs and strengthening the effectiveness and efficiency of Urban Air Quality management frameworks. It also describes step-by-step procedures for chemical characterization of both organic and inorganic constituents of ambient particulate matter along with molecular markers, which are essential to identify the corresponding sources of particulate matter, an integral part of Air pollution monitoring protocol. Additionally, it discusses the need for coupling low cost wireless sensor-based stations with a limited number of manual and conventional real time ambient Air monitoring stations in order to make it cost effective, yet robust. The article demonstrates that satellite-based remote sensing monitoring calibrated with ground level measurement has the potential for regional scale Air Quality monitoring that captures transport of transboundary pollution.
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Urban Air Quality management-A review
Atmospheric Pollution Research, 2015Co-Authors: Sunil Gulia, S.m. Shiva Nagendra, Mushti V. Ramakrishna, Surya Nepal, Mukesh Khare, Isha KhannaAbstract:Abstract Urban Air Quality management plan (UAQMP) is an effective and efficient tool employed in managing acceptable Urban Air Quality. However, the {UAQM} practices are specific to a country’s needs and requirements. Majority of the developed countries have full–fledged {UAQMP} with a regulatory management framework. However, developing countries are still working in formulating the effective and efficient {UAQMPs} to manage their deteriorating Urban Air environment. The first step in the process of formulation of {UAQMP} is to identify the Air Quality control regions based on ambient Air Quality status and second, initiate a time bound program involving all stakeholders to develop UAQMPs. The successful implementation of {UAQMPs} depends on the strength of its key components, e.g. goal/objective, monitoring network, emission inventory, Air Quality modeling, control strategies and public participation. This paper presents a comprehensive review on UAQMPs, being implemented worldwide at different scales e.g., national (macro), city (medium), and local (micro).
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Assessment of Urban Air Quality around a Heritage Site Using AERMOD: A Case Study of Amritsar City, India
Environmental Modeling & Assessment, 2015Co-Authors: Sunil Gulia, Akarsh Shrivastava, Arvind K. Nema, Mukesh KhareAbstract:Air Quality models (AQMs) play an important role in prediction and forecasting of Air pollutant concentrations which are essential components for Urban Air Quality management. Applicability of advanced AQM like AERMOD is well established in developed world where sufficient input data are available. However, it is limited in developing countries due to lack of adequate and reliable data. The present study is focused to assess the Urban Air Quality around a heritage site in Amritsar city in India using AERMOD. The performance of AERMOD is evaluated for prediction of oxide of nitrogen (NOx), sulphur dioxide (SO2) and particulate matter, having the diameter ≤10 μm (PM10). It is observed from the results that predicted pollutant concentrations are in satisfactory limits. The index of agreement (d) values estimated for NOx, SO2 and PM10 are 0.57, 0.51 and 0.50, respectively, indicating satisfactory performance of AERMOD. Similarly, other statistical descriptors also indicate its satisfactory performance in predicting the pollutant concentrations. Further, source apportionment of Urban Air pollutants has also been carried out using AERMOD. Besides, Air Quality management practices are also evaluated based on three what-if scenarios viz. (i) Introduction of battery-operated vehicles within the walled city, (ii) change in traffic movement and (iii) installation of Air pollution control equipment in the free kitchen. It has been observed that after implementing the scenarios all together, PM10, NOx and SO2 concentrations reduce by 2.7, 9.8 and 7.0 %, respectively.
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A theoretical framework for the episodic-Urban Air Quality management plan (e-UAQMP)
Atmospheric Environment, 2007Co-Authors: Sharad Gokhale, Mukesh KhareAbstract:Abstract The present research proposes the local Urban Air Quality management plan which combines two different modelling approaches (hybrid model) and possesses an improved predictive ability including the ‘probabilistic exceedances over norms’ and their ‘frequency of occurrences’ and so termed, herein, as episodic-Urban Air Quality management plan ( e -UAQMP). The e -UAQMP deals with the consequences of ‘extreme’ concentrations of pollutant, mainly occurring at Urban ‘hotspots’ e.g. traffic junctions, intersections and signalized roadways and are also influenced by complexities of traffic generated ‘wake’ effects. The e -UAQMP (based on probabilistic approach), also acts as an efficient preventive measure to predict the ‘probability of exceedances’ so as to prepare a successful policy responses in relation to the protection of Urban environment as well as disseminating information to its sensitive ‘receptors’. The e -UAQMP may be tailored to the requirements of the local area for the policy implementation programmes. The importance of such policy-making framework in the context of current Air pollution ‘episodes’ in Urban environments is discussed. The hybrid model that is based on both deterministic and stochastic based approaches predicting the ‘average’ as well as ‘extreme’ concentration distribution of Air pollutants together in form of probability has been used at two Air Quality control regions (AQCRs) in the Delhi city, India, in formulating and executing the e -UAQMP— first , the income tax office (ITO), one of the busiest signalized traffic intersection and second, the Sirifort, one of the busiest signalized roadways.
Jing Xia - One of the best experts on this subject based on the ideXlab platform.
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MobiSys (Companion Volume) - Poster: A Bicycle-borne Sensor Network for Monitoring Urban Air Quality
Proceedings of the 14th Annual International Conference on Mobile Systems Applications and Services Companion - MobiSys '16 Companion, 2016Co-Authors: Chaosheng Xiang, Xiaofeng Liu, Aimin Jiang, Bin Yan, Jing XiaAbstract:Urban Air Quality in China has been a social concern because of the impact on public health. However, traditional equipments at fixed location only report a global index of the whole city, rather than an index of local area in a city. We present a mobile sensing system using a public bicycle system for monitoring Urban Air Quality, which has a low cost and high spatial resolution. An approach was proposed to calibrate the bicycle-borne sensor. The test indicates that the calibrated data from our sensors approximate to the governmental measurements, and it is feasible to create high-resolution Air pollution maps using our mobile sensing system based on the shared bicycle network.
Chaosheng Xiang - One of the best experts on this subject based on the ideXlab platform.
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MobiSys (Companion Volume) - Poster: A Bicycle-borne Sensor Network for Monitoring Urban Air Quality
Proceedings of the 14th Annual International Conference on Mobile Systems Applications and Services Companion - MobiSys '16 Companion, 2016Co-Authors: Chaosheng Xiang, Xiaofeng Liu, Aimin Jiang, Bin Yan, Jing XiaAbstract:Urban Air Quality in China has been a social concern because of the impact on public health. However, traditional equipments at fixed location only report a global index of the whole city, rather than an index of local area in a city. We present a mobile sensing system using a public bicycle system for monitoring Urban Air Quality, which has a low cost and high spatial resolution. An approach was proposed to calibrate the bicycle-borne sensor. The test indicates that the calibrated data from our sensors approximate to the governmental measurements, and it is feasible to create high-resolution Air pollution maps using our mobile sensing system based on the shared bicycle network.
John W Polak - One of the best experts on this subject based on the ideXlab platform.
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a mobile environmental sensing system to manage transportation and Urban Air Quality
International Symposium on Circuits and Systems, 2008Co-Authors: Robin J North, M Richards, Jeremy Cohen, N Hoose, J Hassard, John W PolakAbstract:This work presents an integrated mobile environmental sensing and analysis system developed to support the management of transport and Urban Air Quality. A novel spectroscopic UV sensor is employed to provide second-by- second measurements of multiple pollutants at ppb levels. Sensor nodes are deployed on vehicles, infrastructure and people and feed data into a dynamically configurable e-science computing platform that scales to support both near real-time incident management and longer term strategic planning decisions. This paper describes the system architecture and sensor node design alongside results from system development testing. It goes on to highlight avenues for future development and the potential for further applications involving the wider sensors community.
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ISCAS - A mobile environmental sensing system to manage transportation and Urban Air Quality
2008 IEEE International Symposium on Circuits and Systems, 2008Co-Authors: Robin J North, M Richards, Jeremy Cohen, N Hoose, J Hassard, John W PolakAbstract:This work presents an integrated mobile environmental sensing and analysis system developed to support the management of transport and Urban Air Quality. A novel spectroscopic UV sensor is employed to provide second-by- second measurements of multiple pollutants at ppb levels. Sensor nodes are deployed on vehicles, infrastructure and people and feed data into a dynamically configurable e-science computing platform that scales to support both near real-time incident management and longer term strategic planning decisions. This paper describes the system architecture and sensor node design alongside results from system development testing. It goes on to highlight avenues for future development and the potential for further applications involving the wider sensors community.
