Dewi Liesnoor Setyowati, GEOGRAFI UNNES and Nana Kariada Tri Martuti, BIOLOGI UNNES and Mohamad Amin, - (2016) Green City Parks Model to Reduce Air Pollution as Anticipation to the Climate Change. Modern Environmental Science and Engineering , 2 (1). pp. 37-43. ISSN 2333-2581

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Abstract

Urban growth has Implications for the emergence of urban problems such as traffic jams, floods, slums, social inequality, and the reduced area of green open space. The phenomenon of climate change adds further weight problems of the city. Came the idea to develop a green city parks program comprehensive and realistic as a solution to climate change. The research purposes are to: (1) study the density of vegetation and air pollution in the city, (2) provide guidance a vegetation green city park, (3) develop a model green city parks to muffle air pollution. The study was conducted in urban areas of Semarang. Object study that examined is only green city park in Simpang Lima Park and KB park. The research material includes data of urban green space, the distribution of vegetation, and air quality. Spatial data, including SPOT 5 satellite imagery, topographic maps, land use maps. The data field is park measuring includes air quality, type and number of trees. Analysis of this research is a descriptive-quantitative, including spatial analysis, laboratory testing, and modeling of a green city. The main results of the study is software models that has optimal green city parks to muffle air pollution, is used as an effort to anticipate the climate change. This model will be able to create a comfortable atmosphere, clean, healthy, controlled air pollution, so that the environment can be maintained and anticipate of the climate change. The final prediction of the analysis of models of green urban park software is to determine the amount and type of vegetation that must be provided in a city park until able to reduce air pollution.

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