| Agricultural pollution had been concerned widely by lots of scholars, the division ofprior agricultural pollution control, it was the significance to take measures to manage theagricultural environment pollution. Equivalent pollution load method was used in the study.The study was aimed to evaluate the pollutants includes total nitrogen, total phosphorousand Chemical oxygen demand produced by country life, animal manure and chemicalfertilizers in Anhui Province of China. The research calculated the equal standard pollutionload, pollutant concentration, the pollutant pollution load per unit area and analysis thecharacteristics of agricultural pollution in Anhui Province of China by the software.Classification agricultural pollution of the province in study area was performed by the useof cluster analysis on the base of pollutant pollution load per unit area. The standardpollution load ratio as variables, the fuzzy clustering analysis was used in the research. Thepresent paper intends to analysis the relationship between agricultural pollution andeconomic growth in Anhui Province.For our research purpose, we have used the density offertilizer and mulch and pesticides as agricultural pollution indicators, and used theenvironmental Kuznets curve (EKC) as a research method.The main results were as follows:1. The agricultural pollution situation was more serious in Anhui Province, especiallythe amount of using chemical fertilizers, pesticides and plastic films. The trends of usingthese agricultural productions were increasing quite quickly from1995to2010, althoughthe trends appeared fluctuate at some time. The usage of province pesticide and film usagewere less than the chemical fertilizer’s.2. The priority was the total nitrogen in the study of pollutants in Anhui Province ofChina. And the pollution source for total nitrogen was caused by the excessive use offertilizers. The equivalent pollution load of total nitrogen was19.66104tons, accountingfor58.39%of the total pollutants. The secondly pollutant was total phosphorus made up34.01%. The chemical oxygen demand was the least pollutant of agricultural pollution,accounting for7.6%. The pollutant source came from chemical fertilizers, accounted for20.27%; the secondly severe pollutant source was from livestock and poultry breeding,which accounted for10.70%.3. The regional agricultural pollutants was divided by using software, it showed asignificant geographical feature of agricultural pollution in Anhui Province. In general theresult showed the north parts in Anhui Province of China had severe pollutant than those of the south regions. In short, the study found a gradual decrease of TN, TP and COD loadsfrom north to south of the study area. But inconsistency was found in Fuyang City wherethe pollutants load was lower than that in the other northern areas, and in Huangshan wherethe pollutants load was higher than that in the other southern areas. TN pollution of thesecities located in the province was most polluted, while the COD pollution was lightest.4. Unlike classical statistical cluster analysis of the hard partition (classificationdemarcated), fuzzy clustering analysis was intermediary of its generic in nature, it wassuitable for soft partition, also it was more applicability and superiority. Cluster analysis(CA) showed good results rendering three different groups of similarity between the areasreflecting the different levels of agricultural pollution. Class Ⅰ included Hefei, Bozhou,Lu’an, Chuzhou, Anqing, Huaibei, Wuhu, Ma’anshan and Tongling City; Class Ⅱ hadXuancheng, Chizhou and Huangshan; Class Ⅲ included Suzhou, Bengbu, Fuyang andHuainan City. Through the fuzzy cluster analysis, agricultural pollution in Anhui Provincearea was divided into four categories. The class Ⅰ included Ma’anshan and Xuancheng City;Class Ⅱ was only Suzhou City; class Ⅲ contained Huangshan, Wuhu and Tongling City;Class Ⅳ included Chuzhou, Chizhou, Huaibei, Bengbu, Fuyang, Huainan, Lu’an, Bozhou,Anqing and Hefei City.5. As the per capita Gross Domestic Product increased, the relationship between theinputs of fertilizer and economic growth was take on an inverted "U" of the environmentalKuznets curve in Anhui Province. The curve was reach to the turning point of the inverted"U", then the inputs of fertilizer start falling as the GDP increased. It was indicate that thefertilizer inputs will be gradually reduced and the environmental pollution caused byfertilizer will reduce when economic reaching a certain level. The relationship betweeninputs of pesticide and economic development was take on the left half part of the segmentof inverted "U" by EKC in Anhui Province. It was not reach the turning point of inverted"U". That was said the inputs of pesticide would continue to increase in a short period oftime as the economic development, and the environmental pollution would be continue too.The relationship between the mulch investment and economic development was the “N” ofEKC (inverted “U” and U-type), there were two turning points in the curve. It showed thatthe mulch film pollution and economic growth in Anhui Province was taken on a complexrelationship, the usage of mulch film appeared fluctuations with economic development.That is to say, the usage of mulch was increasing when people under a low per capitaincome, the first turning points was appeared and then the mulch film inputs were decrease,The second turning points led the mulch inputs increase again when the per capita with the economic development, but the overall trend of the agricultural plastic film usage wascontinued rise with the economic growth. That is to say the mulch pollution will be evenworse in the process of economic growth for a long time.The agricultural pollution came from domestic wastewater, livestock and poultrymanure and chemical fertilizer should be given enough attention, and the control measuresof agricultural pollution should be taken according to the different regions. It was veryimportant to reduce the harm to agricultural environment ofAnhui Province. |
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