Ventilation analysis of urban functional zoning based on circuit model in Guangzhou in winter, China

[1]  A. Kafy,et al.  Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China , 2023, Urban Climate.

[2]  Bin Tong,et al.  Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China , 2022, Earth Science Informatics.

[3]  Shukui Tan,et al.  The spatial spillover effect and nonlinear relationship analysis between land resource misallocation and environmental pollution: Evidence from China. , 2022, Journal of environmental management.

[4]  A. Kafy,et al.  Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China , 2022, Land.

[5]  Münevver Özge Balta,et al.  Development of a sustainable hydrogen city concept and initial hydrogen city projects , 2022, Energy Policy.

[6]  Bao-jie He,et al.  Beating the urban heat: Situation, background, impacts and the way forward in China , 2022, Renewable and Sustainable Energy Reviews.

[7]  Biao Zhang,et al.  Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China , 2022, Sustainability.

[8]  Shukui Tan,et al.  Does land transfer promote the development of new-type urbanization? New evidence from urban agglomerations in the middle reaches of the Yangtze River , 2022, Ecological Indicators.

[9]  Siyang Zhou,et al.  A technical framework for integrating carbon emission peaking factors into the industrial green transformation planning of a city cluster in China , 2022, Journal of Cleaner Production.

[10]  Jun Yang,et al.  Exploring thermal comfort of urban buildings based on local climate zones , 2022, Journal of Cleaner Production.

[11]  Zhenggang Lu,et al.  What can Beijing learn from the world megacities on energy and environmental issues? , 2022, Energy Reports.

[12]  A. Kafy,et al.  Simulating the Relationship between Land Use/Cover Change and Urban Thermal Environment Using Machine Learning Algorithms in Wuhan City, China , 2021, Land.

[13]  Feng Gao,et al.  Integrating the Eigendecomposition Approach and k-Means Clustering for Inferring Building Functions with Location-Based Social Media Data , 2021, ISPRS Int. J. Geo Inf..

[14]  M. Ghodrat,et al.  Experimental and numerical evaluation of wind-driven natural ventilation of a curved roof for various wind angles , 2021 .

[15]  Guifeng Han,et al.  The impact of macro-scale urban form on land surface temperature: An empirical study based on climate zone, urban size and industrial structure in China , 2021 .

[16]  S. Liang,et al.  Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data , 2021, Science of Remote Sensing.

[17]  Sookuk Park,et al.  Thermal Environment Analysis of Landscape Parameters of an Urban Park in Summer - A Case Study in Suwon, Republic of Korea , 2021, Urban Forestry & Urban Greening.

[18]  Jikang Wan,et al.  Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data , 2021, Advances in Meteorology.

[19]  P. Jones,et al.  A framework for addressing urban heat challenges and associated adaptive behavior by the public and the issue of willingness to pay for heat resilient infrastructure in Chongqing, China , 2021, Sustainable Cities and Society.

[20]  B. Dubey,et al.  Circular economy approach in solid waste management system to achieve UN-SDGs: Solutions for post-COVID recovery , 2021, Science of The Total Environment.

[21]  Qiang Wang,et al.  The impact of COVID-19 pandemic on sustainable development goals – A survey , 2021, Environmental Research.

[22]  J. Xia,et al.  Contribution of urban ventilation to the thermal environment and urban energy demand: Different climate background perspectives. , 2021, The Science of the total environment.

[23]  Shukui Tan,et al.  How do varying socio-economic driving forces affect China’s carbon emissions? New evidence from a multiscale geographically weighted regression model , 2021, Environmental Science and Pollution Research.

[24]  Shukui Tan,et al.  Spatio-Temporal Evolution and Driving Factors of Rural Settlements in Low Hilly Region—A Case Study of 17 Cities in Hubei Province, China , 2021, International journal of environmental research and public health.

[25]  Qian Fan,et al.  A new improved whale optimization algorithm with joint search mechanisms for high-dimensional global optimization problems , 2020, Eng. Comput..

[26]  Bao-jie He,et al.  Relationships among local-scale urban morphology, urban ventilation, urban heat island and outdoor thermal comfort under sea breeze influence , 2020 .

[27]  Hong Wang,et al.  A New method of simulating urban ventilation corridors using circuit theory , 2020 .

[28]  C. Ren,et al.  Association of urban built environment and socioeconomic factors with suicide mortality in high-density cities: A case study of Hong Kong. , 2020, The Science of the total environment.

[29]  Junyan Yang,et al.  Urban form and air pollution disperse: Key indexes and mitigation strategies , 2020, Sustainable Cities and Society.

[30]  Junqiang Wang,et al.  Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model , 2020 .

[31]  Simon Marvin,et al.  Air pollution dispersal in high density urban areas: Research on the triadic relation of wind, air pollution, and urban form , 2020 .

[32]  Hong S. He,et al.  Quantifying the Relative Importance of Climate Change and Human Activities on Selected Wetland Ecosystems in China , 2020, Sustainability.

[33]  Stefania Bonafoni,et al.  Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation , 2020, Remote. Sens..

[34]  Berge Djebedjian,et al.  Optimal design of water distribution networks using whale optimization algorithm , 2020, Urban Water Journal.

[35]  Patrick T.I. Lam,et al.  Is urban development ecologically sustainable? Ecological footprint analysis and prediction based on a modified artificial neural network model: A case study of Tianjin in China , 2019, Journal of Cleaner Production.

[36]  Shu-Li Huang,et al.  Compact and green urban development—towards a framework to assess urban development for a high-density metropolis , 2019, Environmental Research Letters.

[37]  Kui Cai,et al.  Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China , 2019, International journal of environmental research and public health.

[38]  Alex Pappachen James,et al.  A survey on LSTM memristive neural network architectures and applications , 2019, The European Physical Journal Special Topics.

[39]  Rohan A. Shirwaiker,et al.  Characterizing the Process Physics of Ultrasound-Assisted Bioprinting , 2019, Scientific Reports.

[40]  Hui Xu,et al.  Polycentric urban development and urban thermal environment: A case of Hangzhou, China , 2019, Landscape and Urban Planning.

[41]  Henrik Vejre,et al.  Strong contribution of rapid urbanization and urban agglomeration development to regional thermal environment dynamics and evolution , 2019, Forest Ecology and Management.

[42]  H. Rijal,et al.  Effectiveness of free running passive cooling strategies for indoor thermal environments: Example from a two-storey corner terrace house in Malaysia , 2019, Building and Environment.

[43]  Dong Wook Sohn,et al.  The effect of neighbourhood-level urban form on residential building energy use: A GIS-based model using building energy benchmarking data in Seattle , 2019, Energy and Buildings.

[44]  Li Wang,et al.  Detecting daytime and nighttime land surface temperature anomalies using thermal infrared remote sensing in Dandong geothermal prospect , 2019, Int. J. Appl. Earth Obs. Geoinformation.

[45]  Quanxi Wang,et al.  The Spatial-Temporal Characteristics of Cultivated Land and Its Influential Factors in The Low Hilly Region: A Case Study of Lishan Town, Hubei Province, China , 2019, Sustainability.

[46]  Xin Huang,et al.  Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: A case study of Wuhan, Central China , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

[47]  Bao-jie He,et al.  Enhancing urban ventilation performance through the development of precinct ventilation zones: A case study based on the Greater Sydney, Australia , 2019, Sustainable Cities and Society.

[48]  Laszlo Gyongyosi,et al.  A Survey on quantum computing technology , 2019, Comput. Sci. Rev..

[49]  D. Lai,et al.  A review of mitigating strategies to improve the thermal environment and thermal comfort in urban outdoor spaces. , 2019, The Science of the total environment.

[50]  Bao-Jie He,et al.  An approach to examining performances of cool/hot sources in mitigating/enhancing land surface temperature under different temperature backgrounds based on landsat 8 image , 2019, Sustainable Cities and Society.

[51]  S. Nowicki,et al.  The Greenland and Antarctic ice sheets under 1.5 °C global warming , 2018, Nature Climate Change.

[52]  Marco Turco,et al.  Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models , 2018, Nature Communications.

[53]  Surat Bualert,et al.  Physical characteristics of Bangkok and its urban heat island phenomenon , 2018, Building and Environment.

[54]  Guangping Chen,et al.  Comparative Changes of Influence Factors of Rural Residential Area Based on Spatial Econometric Regression Model: A Case Study of Lishan Township, Hubei Province, China , 2018, Sustainability.

[55]  Rodnei Rizzo,et al.  Satellite land surface temperature and reflectance related with soil attributes , 2018, Geoderma.

[56]  Jian Peng,et al.  Spatial-temporal change of land surface temperature across 285 cities in China: An urban-rural contrast perspective. , 2018, The Science of the total environment.

[57]  Xuemei Wang,et al.  The impact of urban open space and 'lift-up' building design on building intake fraction and daily pollutant exposure in idealized urban models. , 2018, The Science of the total environment.

[58]  C. Kuesten,et al.  Temporal Drivers of Liking Based on Functional Data Analysis and Non-Additive Models for Multi-Attribute Time-Intensity Data of Fruit Chews , 2018, Foods.

[59]  Anna Laura Pisello,et al.  Outdoor comfort conditions in urban areas: On citizens’ perspective about microclimate mitigation of urban transit areas , 2018 .

[60]  Hainan Yan,et al.  Influence of a large urban park on the local urban thermal environment. , 2018, The Science of the total environment.

[61]  Xiaoxu Wu,et al.  A modified model of surface temperature inversion based on Landsat 8 remote-sensing data and measured data , 2018 .