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The Research on Pollution Survey and Pollution Prediction Model of the Wet Markets in Changsha

Author: XiaoJuan
Tutor: LuoLin；WuGenYi
School: Hunan Agricultural University
Course: Environmental Engineering
Keywords: Farmers market Market research Pollutants producing equivalent Production per capita pollution load Pollution prediction model
CLC: X50
Type: Master's thesis
Year: 2010
Downloads: 64
Quote: 0
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Abstract

Farmers market before processing rows of aquatic pollution is one of the non-point source pollution affecting the water quality of the river water, the papers according to the state Department of Environmental Protection, the first national census of pollution sources (item number: WPXC2007C200) sub-project of urban life source production sewage accounting system and its application - the nation's major food processing edible part of the contents of the pollutants producing coefficient of the process, the amount of pollutants producing survey sampling and laboratory analysis before the processing of various types of food farmers market in Changsha OK to come to the farmers market to handle the load of pollutants producing and choose a simple mathematical model of concentrated prior to processing statistics Changsha farmers market producing pollution load pollution index, derived production sewage amount of the whole Changsha, farmers market, and to provide basic and supplementary data for urban residents living producing sewage coefficient accounting. The thesis is as follows: The first chapter is the introduction, the research progress of major urban domestic pollution sources, pollution and governance status quo, producing pollution survey of farmers' markets at home and abroad, pollution model a brief introduction and commentary, noting that the content and significance of this study. The second chapter a week of on-site investigation and sampling Changsha four different scale farmers market in April, August and December, respectively, the survey results show that: (1) the market amount of solid waste generated from small to This is a big turn: the the Hunan Agricultural Market 227 kg / d; rong bay market 1022kg / d; Wujialing market 1465kg / d; the Mawangdui wholesale market 69000kg / d. (2) market annual average daily sales were: Mawangdui: 450 tons, Wu Jialing: 11401.54kg, stretches bay: 10203.35kg, Hunan Agricultural University: 1235.83kg; market district average daily sales of vegetable area gt market average daily sales in December, April, followed last August; fruit zone gt; livestock area gt; soy District gt; Dry Area; (3) of the market year average daily amount of sewage generated: Wujialing: 9261.5L rong bay: 7804.67L Hunan Agricultural University: 1745.67L Mawangdui is the wholesale market, the sales process is basically no sewage; the each the market fruit District and dry goods area sewage, the market average daily the District wastewater generation livestock District gt; vegetable area gt; the soy District; each market the average daily amount of sewage generated in August, followed in April, last December; (4) the size of the market and generate solid waste equivalent inversely proportional to, but did not change significantly in a certain scale range. In each market average daily solid waste equivalent, respectively: the Hunan Agricultural the market (0.184kg/kg) gt; Wujialing market (0.128kg/kg) gt; the market stretches bay (0.101kg/kg) gt; Mawangdui market (0.015kg/kg). Chapter three farmers' markets the producing pollution load of the sales process, the results show that: (1) the average daily market sales of pre-processing load of pollutants producing pollution indicators: COD 67.28g/kg, BOD34.46 g / kg, TN6.15 g / kg, TP0.62 g / kg, ammonia nitrogen, 1.77 g / kg, animal and vegetable oils 20.08 g / kg; the pollutants producing equivalent of the different seasons December (winter) gt; 8 months (summer) gt; May (spring); the general market meat District and dry areas basically does not produce pollution of water, fruit area mainly produce solid waste, and market various types of food in the pre-sales process the amount of pollution produced mainly livestock area, soy products, followed by few other food producing pollution; (2) the average of each market per capita Nissan dirt load pollution indicators: COD 0.1318g / (person * d), BOD 0.0705 g / (person * d), animal and vegetable oils 0.0666g / (person * d), TN0.0133g / (person * d), ammonia 0.0056g / (* d) TP0.0047g / (person * d); the different seasons market average daily production per capita pollution equivalent winter gt; Spring gt ; summer; market various types of food in the pre-sales process, the average daily per capita amount of pollutants producing mainly livestock area, soy products, followed by other food production per capita pollution few. Chapter typical city - Changsha farmers market production sewage pollution coefficient estimates and pollution prediction model, the results showed that: (1) the pollutant prediction model using the formula: S = N * M (ΣS0 / n); (2) in the markets before processing the average daily production per capita polluter amount of gross stretches bay market gt; Wujialing market gt; Hunan Agricultural Market; each before the market the pollutants producing equivalent gross stretches bay market producing pollution equivalent to the largest followed by market Wujialing. Hunan Agricultural University market sales and the other two market gap is too large, the market producing pollution equivalent to a positive correlation with the sales, produce fewer pollutants. Market larger, more standardized management, the smaller the per capita amount of pollutants producing process before the market. (3) Changsha average each farmer's market before processing the the pollutants producing pollution indicators per capita daily pollution load factor: COD 0.1336g / (person * d), BOD 0.0689g / (person * d) TN0.0014g / (person * d), TP0.0055g / (person * d), ammonia 0.0059g / (* d), animal and vegetable oils 0.0651 g / (* d); predict COD in Changsha City, the pollution index total daily production pollution load factor : N * M * 0.1336g / (* d), BOD: N * M * 0.0689g / (person * d), TN: of N * M * 0.014 g / (* d), TP: N * M * 0.0055g / (person * d), ammonia: N * M * 0.0059g / (person * d), animal and vegetable oils: N * M * 0.0651g / (person * d). Chapter V of this research work are summarized and discussed and put forward the innovation of this study and areas for further research content.

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