Evaluation of urban heat island situation in developed cities of Zhejiang province

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@PhdThesis{Thesis_Tianfeng_SHEN,
  author =       "Tianfeng Shen",
  title =        "Evaluation of urban heat island situation in developed
                 cities of Zhejiang province",
  school =       "University of Nottingham",
  year =         "2015",
  address =      "UNNC Ningbo, China",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming",
  bibsource =    "OAI-PMH server at eprints.nottingham.ac.uk",
  language =     "en",
  oai =          "oai:eprints.nottingham.ac.uk:30441",
  URL =          "http://eprints.nottingham.ac.uk/30441/",
  URL =          "http://eprints.nottingham.ac.uk/30441/1/Thesis_Tianfeng%20SHEN.pdf",
  size =         "260 pages",
  abstract =     "The rapid and unsustainable urbanization process
                 causes a serious existing thermal environmental problem
                 that aggravates climatic change and generates a higher
                 temperature in urban area than in rural area. Based on
                 literature review, this is the first research that uses
                 field measurement methodology to investigate the urban
                 heat island (UHI) effect in Hangzhou and Ningbo cities
                 of Zhejiang Province. This study aims to investigate
                 reciprocal interaction of UHI effect with urban
                 building energy based on the air temperature and
                 relative humidity measurement in research area.

                 There are three main factors including vegetation
                 cover, urban building configuration and surface
                 material properties, and human activities, contributing
                 to the UHI development. Through using ENVI-met
                 simulation, the study has investigated how the West
                 Lake and the Xixi Wetland ecological areas in the city
                 act as passive thermal comfort systems in improving the
                 outdoor built environment and mitigating UHI effect.
                 However, according to the observation, the UHI effect
                 in Hangzhou is still more intense than that in Ningbo.
                 The monthly average UHII values in Hangzhou ranged
                 between 1 and 4, whilst the highest monthly average
                 UHII in Ningbo is only as high as 1.5
                 Centigrade.

                 Additionally, the study has evaluated that the UHI
                 effect is most pronounce in winter days, because there
                 is serious air pollution, high concentration of
                 Particulate Matter (PM) and low wind speed in winter
                 days in China. The result has also proved that the
                 night time UHI effect is significantly more intense
                 than the day time UHI effect. It has been validated in
                 the study that UHI effect can be mitigated by three
                 effective strategies, such as the application of cool
                 materials on urban surfaces, modifying urban geometry
                 to improve wind flow and expanding green space in urban
                 areas.

                 Owing to the hourly air temperature and relative
                 humidity collected from strategically selected sites
                 around the city, modified TMY weather dataset has been
                 established. The research employed a case study of
                 China Telecom Business Office Building in Hangzhou to
                 evaluate the impact of UHI on urban building energy
                 consumption. It implies that there is about 20percent
                 cooling demand underestimated in the hot months and
                 about 25percent heating demand overestimated in the
                 cold months for the office building located in the
                 urban city of Hangzhou, if the building is designed
                 based on currently available weather dataset without
                 considering UHI effect. Based on the application of
                 artificial neural network (ANN) and genetic programming
                 (GP) techniques, the research has provided algorithms
                 to link factors such as Distance from City Centre,
                 Surrounding Albedo, Land Use of the Area (residential,
                 commercial, industrial, recreational etc.), Sky View
                 Factor to predict the UHI intensity for any site
                 compared to a reference site.",
  notes =        "Supervisors Jo Darkwa and David Chow

                 Item ID: 30441",
}

Genetic Programming entries for Tianfeng Shen

Citations