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The Study On Statistical Index System And Statistical Method Of Green Waste In Beijing

Posted on:2016-07-19Degree:DoctorType:Dissertation
Country:ChinaCandidate:S H WangFull Text:PDF
GTID:1221330461959754Subject:Forest management
Abstract/Summary:PDF Full Text Request
With the fast development of Chinese urbanization and people’s require for life, the urban green area are constantly increasing, and the accompanying green waste are rising year by year, being the second biggest urban solid waste following household waste. The main composition of green waste is organic matter which is important biomass resources, therefore, recovery utilization of green waste through building and developing circulation industry system can realize the resourcezation management of urban green waste. It can guarantee the sustainable development of urban environment. So it seems rather important to build scientific applicative statistical index system and statistical calculation method to conveniently make a master plan for urban manager and decision maker, which does not only provide theoretical basis and method support for manager but fill the blank of urban green waste statistic research area. This has certain research meaning. This study is based on Beijing forest resource inventory data, urban green land census data, individual tree biomass measured data in four different regions and investigation form relevant landscaping corporations. Green waste statistic index system frame is built after defining the type of each green waste. A series of research results are achieved according to the study of theoretical amount of and actual amount statistic and estimate method. And it lays the research foundation of accurately calculating and estimating green waste in the whole city, meanwhile it provides reference material for making green waste resourcezation management policy. Major achievements are as following:(1)Theory of circular economy and pressure-state-response are used to build urban green waste statistic index system frame. The system is divided into the three subsystems,namely the current status of green waste, production and utilization situations of green waste and environment protection of green field. Moreover, indexes are classified according to the hierarchical relationship of the three indicators, which are classified into six first-grade indexes and eleven second-grade indexes and the actual survey items in each statistical work.(2)Discuss the statistic calculation method of regional green waste theoretical amount. Each type of green waste amount is estimated with 2009 forestry resource inventory data and urban green survey data. Results are: the dry weight of green waste in the whole urban area are 996.1 thousand tons; the dry weight of green waste in the whole mountainous area are 2.25 million tons; the available amount of the landscape green waste are 1.5091 million tons, accounting for 46.49 percent of the whole landscape green waste.(3)Discuss estimate method of individual tree remaining quantity, giving the expression of invidual tree waste prediction model yi=a+bx,+ei. Samples are divided into 8 grades(5、10、15、20、25、30、 35、40 plants) according to the sample tree in the plot.500 samplings are carried for each grade, least square method and Bayesian method are used to fitting the parameters of individual tree waste model from sampling. Fitting results and model effect are analyzed. Results show that Bayesian method is more stable in fitting model. The prediction effect is better in the case of small samples. And Bayesian method is used to estimate the situation of green waste in representative demonstration area.(4) Study the statistics and estimation of green waste actual collection amount. Green waste collection amount in six districts and suburban districts is estimated by selecting appropriate ridge regression model and using green waste recovery utilization amount from districts of part 2013 Beijing landscaping. Results show that the utilization rate of 2013 landscaping green waste is less than 10%, which indicating that the utilization rate is low.(5)The three vegetation NPP models based on climatic factors, namely Miami models, Tho-rnthwaite Memorial model and synthetical model, combined with Beijing forest resource informat-ion, the corresponding period climate data and regional green waste theoretical amount estimate-d, green waste statistical calculation in the whole city is uncertainly analysed. Results show that 2009 urban green waste production potential in the whole city is 178.8 to 996.1 thousand tons, 307.6 thousand tons to 2.25 million tons in the mountainous areas; green waste available amou-nt production potential is between 250.9 thousand tons and 1.5091 million tons, of these Chao-yang district’s waste available amount production potential is the biggest, which is 44.7-213.6 t-housand tons.
Keywords/Search Tags:green waste, biomass, Bayesian methods, statistical index, uncertainty analysis
PDF Full Text Request
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