The Experts below are selected from a list of 2604 Experts worldwide ranked by ideXlab platform
Kexin Yue - One of the best experts on this subject based on the ideXlab platform.
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comparison of the suitability of plant species for Greenbelt construction based on particulate matter capture capacity air pollution tolerance index and antioxidant system
Environmental Pollution, 2020Co-Authors: Weiyuan Zhang, Yuzhen Zhang, Jirui Gong, Bo Yang, Zihe Zhang, Biao Wang, Chenchen Zhu, Jiayu Shi, Kexin YueAbstract:Abstract Particulate matter (PM) pollution is an urgent urban environmental problem. However, plants can mitigate this pollution by filtering the air. Combining the PM capture capacity with the air pollution tolerance could be better evaluate the suitability of Greenbelt plants. We selected nine dominant roadside plants growing at two sites in Beijing, and compared their PM capture capacity, morphological characteristics, biochemical characteristics, and air pollution tolerance index (APTI). Sophora japonica had the highest PM capture capacity (362.98 μg cm−2), and its wax layers could trap large amounts of PM2.5; this high efficiency is important for successful phytoremediation. Sophora japonica. Sabina chinensis, Ulmus pumila, and Euonymus japonicus also showed relatively high PM capture capacity. This is due to their complex cuticular wax layers, short petioles, rough surfaces, high stomata density, and dense canopy structures which reduce the possibility of resuspension of captured PM. Amount of PM captured per unit leaf area had a significant positive effect on the degree of membrane lipid peroxidation, indicating that species with high PM capture capacity suffered higher oxidative stresses. Air pollution showed the strongest negative effect size on chlorophyll contents of E. japonicas. While, S. japonica, S. chinensis, and U. pumila could prevent chlorophyll content decline under severe oxidative stress. Sophora japonica also had the highest APTI at both sites, indicating this species had the greatest tolerance to air pollution. Our findings suggest that S. japonica would be the most suitable species for Greenbelt construction in Beijing, followed by S. chinensis, E. japonicus, and U. pumila.
P Visvanathan - One of the best experts on this subject based on the ideXlab platform.
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identification and evaluation of air pollution tolerant plants around lignite based thermal power station for Greenbelt development
Environmental Science and Pollution Research, 2012Co-Authors: M Govindaraju, R S Ganeshkumar, V R Muthukumaran, P VisvanathanAbstract:Introduction Thermal power plants emit various gaseous and particulate pollutants into the atmosphere. It is well known that trees help to reduce air pollution. Development of a Greenbelt with suitable plant species around the source of emission will mitigate the air pollution. Selection of suitable plant species for a Greenbelt is very important.
Ma Mingfei - One of the best experts on this subject based on the ideXlab platform.
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What if Beijing had enforced the 1st or 2nd Greenbelt? – Analyses from an economic perspective
Landscape and Urban Planning, 2019Co-Authors: Ma Mingfei, Jin YingAbstract:Many fast growing cities have designated Greenbelts but have failed to maintain them. This is often attributed to weak planning regulations, but there is little understanding of the underlying impacts of Greenbelts on the interactions among land use control, transport supply and economic activities. This paper presents a counterfactual analytical model to examine the Greenbelts’ impacts on consumers’ utility, producers’ productivity, and their locational choices. The model establishes historic-what-if scenarios and compares what historically happened with what could have happened under alternative levels of Greenbelt interventions. The model is applied to Beijing, which intended to establish two Greenbelts in 1994, but large parts of the Greenbelts have disappeared under fast urban expansion. The model compares the economic impacts of the Greenbelts as they stood with hypothetical fully-enforced Greenbelts and no-Greenbelt scenarios from 1990 to 2010. The modelling results show that the two Greenbelts, if fully enforced, would have decreased consumer surplus by $202 million in Beijing in 2010. To fulfil the policy aim of decentralisation, transport improvements between the city and new towns are crucial. For a more effective implementation of Greenbelts in the future, development constraints could be carefully removed from non-ecologically sensitive sites which are served with good transport conditions.Cambridge Overseas Trust China Scholarship Council special fund of Key Laboratory of Eco Planning & Green Building, Ministry of Education (Tsinghua University), China Capco Future Cities Fellowship, Cambridge Real Estate Research Centre The Cambridge-UC Berkeley-National University of Singapore University Alliance project ’Smart Design
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Are There Alternatives to Greenbelts? Evidence from a New Land-use Transport Interaction Model for Greater Beijing
Churchill College, 2017Co-Authors: Ma MingfeiAbstract:Urban Greenbelts are considered a key instrument for shaping sustainable urban growth and protecting the environment in a large number of cities in the world. In most cities, there is a widely shared belief that urban Greenbelts are beneficial to the natural environment. By contrast, there is little understanding of the underlying economic impacts of Greenbelts and other green space configurations in fast growing cities. The unprecedented rate and scale of urbanisation in the emerging economies has brought the role of Greenbelts into an even sharper focus. In cities within these fast growing economies, the urban population is expected to double in the coming decades, which means that Greenbelts are under great pressures to adapt to the large forthcoming growth. Few existing urban models are capable of addressing the dynamic nature of the urban transformations and predicting the impacts of urban Greenbelts in the developing world. This prompts us to develop a new modelling method that is capable of assessing the impacts of different configurations, scales and locations of green spaces. We then use it to examine alternative futures to the Greenbelt through a case study of Greater Beijing. The method we developed is a new variant in the land use-transport interaction (LUTI) model family. This model is capable of addressing the non-equilibrium nature of urban land use and transport development and the equilibrium nature of the day-to-day adaptations made by businesses and citizens. This LUTI model aims to answer the following questions: what are the short-term and long-term economic impacts of a Greenbelt on a fast growing city? Which alternative green space configuration performs better in terms of economic well-being and travel costs? Where and how much should the Greenbelt land be progressively reshaped or released as the city grows? The new LUTI model is calibrated and validated using data collected for 1990, 2000 and 2010 for Greater Beijing, The model is first tested retrospectively through revisiting the past Greenbelt policies in Beijing from 1990 to 2010. Then the impacts of different future green space configurations from 2010 to 2030 are predicted and assessed through quantifying economic costs/benefits and travel costs for socio-economic groups. The model results suggest that under rapid transformative urban change, the configuration, scale and location of a Greenbelt have a significant impact on a city’s economic efficiency. Such impacts will transcend the Greenbelt boundary, and even the boundary of Beijing Municipality, onto the entire city region. A narrow Greenbelt launched in the early age of urban expansion could lead to spatial mismatch of residents and jobs. A wide and strictly controlled ring-shaped Greenbelt is not the highest performing intervention either, in terms of economic well-being. The green-wedges configuration is a remedial policy that balances the economic efficiency and environmental benefits. Intensive development around metro/rail stations in the designated Greenbelt could reduce spatial costs and promote sustainable travel modes. This implies that a careful siting of new development within existing designations of the Greenbelt can be beneficial in terms of economic well-being and sustainable transport.CSC Cambridge International Scholarshi
Weiyuan Zhang - One of the best experts on this subject based on the ideXlab platform.
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comparison of the suitability of plant species for Greenbelt construction based on particulate matter capture capacity air pollution tolerance index and antioxidant system
Environmental Pollution, 2020Co-Authors: Weiyuan Zhang, Yuzhen Zhang, Jirui Gong, Bo Yang, Zihe Zhang, Biao Wang, Chenchen Zhu, Jiayu Shi, Kexin YueAbstract:Abstract Particulate matter (PM) pollution is an urgent urban environmental problem. However, plants can mitigate this pollution by filtering the air. Combining the PM capture capacity with the air pollution tolerance could be better evaluate the suitability of Greenbelt plants. We selected nine dominant roadside plants growing at two sites in Beijing, and compared their PM capture capacity, morphological characteristics, biochemical characteristics, and air pollution tolerance index (APTI). Sophora japonica had the highest PM capture capacity (362.98 μg cm−2), and its wax layers could trap large amounts of PM2.5; this high efficiency is important for successful phytoremediation. Sophora japonica. Sabina chinensis, Ulmus pumila, and Euonymus japonicus also showed relatively high PM capture capacity. This is due to their complex cuticular wax layers, short petioles, rough surfaces, high stomata density, and dense canopy structures which reduce the possibility of resuspension of captured PM. Amount of PM captured per unit leaf area had a significant positive effect on the degree of membrane lipid peroxidation, indicating that species with high PM capture capacity suffered higher oxidative stresses. Air pollution showed the strongest negative effect size on chlorophyll contents of E. japonicas. While, S. japonica, S. chinensis, and U. pumila could prevent chlorophyll content decline under severe oxidative stress. Sophora japonica also had the highest APTI at both sites, indicating this species had the greatest tolerance to air pollution. Our findings suggest that S. japonica would be the most suitable species for Greenbelt construction in Beijing, followed by S. chinensis, E. japonicus, and U. pumila.
Jin Ying - One of the best experts on this subject based on the ideXlab platform.
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What if Beijing had enforced the 1st or 2nd Greenbelt? – Analyses from an economic perspective
Landscape and Urban Planning, 2019Co-Authors: Ma Mingfei, Jin YingAbstract:Many fast growing cities have designated Greenbelts but have failed to maintain them. This is often attributed to weak planning regulations, but there is little understanding of the underlying impacts of Greenbelts on the interactions among land use control, transport supply and economic activities. This paper presents a counterfactual analytical model to examine the Greenbelts’ impacts on consumers’ utility, producers’ productivity, and their locational choices. The model establishes historic-what-if scenarios and compares what historically happened with what could have happened under alternative levels of Greenbelt interventions. The model is applied to Beijing, which intended to establish two Greenbelts in 1994, but large parts of the Greenbelts have disappeared under fast urban expansion. The model compares the economic impacts of the Greenbelts as they stood with hypothetical fully-enforced Greenbelts and no-Greenbelt scenarios from 1990 to 2010. The modelling results show that the two Greenbelts, if fully enforced, would have decreased consumer surplus by $202 million in Beijing in 2010. To fulfil the policy aim of decentralisation, transport improvements between the city and new towns are crucial. For a more effective implementation of Greenbelts in the future, development constraints could be carefully removed from non-ecologically sensitive sites which are served with good transport conditions.Cambridge Overseas Trust China Scholarship Council special fund of Key Laboratory of Eco Planning & Green Building, Ministry of Education (Tsinghua University), China Capco Future Cities Fellowship, Cambridge Real Estate Research Centre The Cambridge-UC Berkeley-National University of Singapore University Alliance project ’Smart Design
