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Study on Environmental Quality Evaluation of Poyang Lake Ecological Economy Zone

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Study on Environmental Quality Evaluation of Poyang Lake Ecological Economy Zone 2016 6th International Conference on Information Technology for Manufacturing Systems (ITMS 2016) ISBN: 978-1-60595-353-3 Study on Environmental Quality Evaluation of Poyang Lake Ecological Economy Zone Liu Qiao1 Business School of Jiangxi Science & Technology Normal University, Nanchang, China Li Li-Qing2 Economic Management School of Jiangxi Science & Technology Normal University, Nanchang, China ABSTRACT: Poyang lake ecological economy zone is a major step to the rise of central China for Jiangxi province. The measure to protect the ecological resources of Poyang Lake is the same important to develop economy. In this paper, we took the six cities in Poyang lake ecological economy zone as example, and scientifically and effectively assess the environmental quality based on the rough set theory. In the huge index system, not all indexes are useful either, it is conducive to improve the effectiveness of empirical evaluation through removing the redundant indexes, only retaining of key indicators. We took eight principal indexes for evaluation, such as emissions, soil pollution index, average per capita water resources, industrial waste water volume, vegetation species, average per capita green area, population density and economic density. We used the knowledge of classification principle to calculate the importance degree and weight of the eight key indicators, then drew the ranking order of the evaluation objects from high to low: Jiujiang, Fuzhou, Shangrao, Nanchang, Yingtan, Jingdezhen. KEYWORDS: Poyang lake ecological economy zone; environmental quality; rough set theory Many lakes are seriously polluted in the pursuit of base and abundant natural resources. It is not only urbanization and industrialization process. Although the region with great development advantages and they have contributed to develop economy, while the greater potentials of Jiangxi, but also has an growing concern for regional ecological important position in our nation regional environment and introduction of ecological development pattern. It has an area of 51,200 square economy that we realize sustainable development is kilometers, mainly including 3 cities of Nanchang, the most important. This paper took main six cities Jiujiang and Jingdezhen as well as 38 counties for evaluation, it’s important to protect Poyang lake (towns, districts) that belong to Yingtan, Xinyu, environment and step to the rise of central China for Fuzhou, Yichun, Shangrao, or Ji'an City and the Jiangxi province. entire body of Poyang Lake. With 30% of the area of Jiangxi, Poyang Lake Ecological Economic Zone carries nearly 50% of the population and creates 1 DESCRIPTION OF POYANG LAKE more than 60% of the total economy of the province, ECOLOGICAL ECONOMY ZONE which has a good development foundation. Poyang Lake Ecological Economic Zone is a special economic zone, relying on Poyang Lake City Circle 2 INTRODUCTION OF ROUGH SET THEORY and having ecological protection and economic development as its important strategic concepts. In Rough set theory was proposed as a method of data 2009, Poyang Lake Ecological Economic Zone reasoning by Professor Z.Pawlak who is a scientist officially became the national strategy. Located in in Poland in 1982. To apply the rough set theory into the intersection of Yangtze River economic belt and the evaluation mainly bases on the attributes Beijing-Kowloon economic belt, Poyang Lake reduction that is the core theory of it. Ecological Economic Zone has strong industrial 334 2.1 Decision table every p∈R and R is indispensable ,then R is called independence, otherwise R is called dependence. If IS(Information System) can be expressed as IS= ⊆ P R, P is independent, and ind(P)=ind(R),then P is 〈U,A,Va,fa〉,in which ,U is the nonempty finite set the reduction of R. There are two reduction methods. of the object, called as universe; A is the nonempty One method is an algebra method based on finite set of the object attribute, called as attributes indiscernibility relation, namely computing based on set;Va=∪a ∈ AVaa is the set of the attribute value, the definition of reduction and core. Another method Vaa represents the range of the attribute a∈A; is logic operation based on rough set, namely f:U×A→Va is called information function. keeping logic operation based on discernibility Information System is also called knowledge matrix and discermibility function representation system. Such “Attribute--Value” can constitute one two-dimensional table, called as Information Table. If A is composed by condition attribute C and 3 EMPIRICAL EVALUATION OF POYANG LAKE ECOLOGICAL ECONOMY ZONE conclusion attribute D, and C, D satisfies: C∪D=A， C∩D=Ф, then IS is called Decision System(DS for ENVIROMENTAL QUALITY short). In practical use, the decision making system Determine the evaluation object set and index is generally represented into the form of a Decision 3.1 Set table, each column represents an attribute and each row represents an object. The paper took emissions(x1), soil pollution index(x2), average per capita water resources(x3), 2.2 Attributes reduction industrial waste water volume(x4), vegetation Reduction of attributes is the essential part of rough species(x5), average per capita green area(x6), set, different attributes has different importance population density(x7) and economic density(x8) as degree in the information system of rough set, even evalation samples based on the eviromental quality there are some superfluous attributes. The definition data from Jiangxi province eviromental quality of the knowledge reduction is that delete the report and soil pollution bulletin in 2013-2014. The superfluous or unimportant attributes under the detail result as shown as table 2, in that, S1 –S6 condition of keeping the same discernibility relation. represents six city respectively, including Nanchang, Let R is an equivalent relation, p∈R, if ind(R) = Jiujiang, Shangrao, Yingtan, Fuzhou, Jingdezhen, ind(R-{p}),then the attribute p is called superfluous, and x1-x8 denotes the influencing factors of otherwise, the attribute p is indispensable in R. if enviromental quality. Table 1. Poyang lake ecological economy zone environmental quality index. Soil Industrial Capita Population Economic Emissions pollution Capita water waste water vegetation green density density(1million city (10kt) index resources(m³) volume(m³) species area(㎡) (k ㎡) Yuan/k ㎡) Nanchang 11.79 0.51 1314 10551 1708 12.04 681 45.07 Jiujiang 21.84 0.44 2960 9329 2445 15.5 235 8.51 Shangrao 12.88 0.445 3812 4216 5080 29.6 324 6.15 Yingtan 4.41 0.4 4578 2805 3694 12.1 293 15.74 Fuzhou 8.81 0.536 6300 3789 3000 49.5 210 5 Jingdezhen 7.13 0.54 2676 3661 2032 23.9 323 12.94 3.2 To discrete the information table accordance with the empirical formula proposed by Sturges K:K=1+lgn/lg2, n is the number of data, the The data of the table 1 are all distance data, but group interval formula is (maximum - minimum) / Pawlak proposed that the data need to deal in the groups. Taking into the practical problems in our rough set must be discrete data, in this paper, with paper account, the group number K is defined as 3, the class grouping method to discrete all data in discrete information table as shown as table 2. table 1.The number of groups can be determined in Table 2. The discrete information table. City x1 x2 x3 x4 x5 x6 x7 x8 Nanchang 2 1 3 1 1 1 1 3 Jiujiang 1 2 3 1 1 1 2 1 Shangrao 2 2 2 2 3 2 2 1 335 Yingtan 3 2 2 2 2 1 2 2 Fuzhou 2 1 1 2 2 3 2 1 Jingdezhen 2 1 3 2 1 2 2 2 3.3 Indicators reduction the actual research need, in here, choose one of the reduction: {x1,x3,x4}.So, it is easily to obtain the Always there are two reduction methods, one is the simplified decision table but still keep the original indiscernibility algebra method, and the other is discernibility after reduction, as shown as table 3. logical operation method of rough set. According to Table 3. The decision table after reduction. city x1 x3 x4 S1 2 3 1 S2 1 3 1 S3 2 2 2 S4 3 2 2 S5 2 1 2 S6 2 3 2 S (x3)= I(P)- I(P-{ x3})=0.83-0.72=0.16, 3.4 To compute the importance degree and the P S (x4)= I(P)- I(P-{ x4})=0.83-0.78=0.05, weight of each appraisal index P To compute the weight of each appraisal index After the attributes reduction, and obtains the index based on normalizing the importance degree, as ⊆ set P ={x1, x3, x4}, P R, according to the property shown as table 4. of reduction, can be understand that:U/ind(P)=U/ind(R). Based on the method of Table 4. The importance degree and the weight computing the importance degree by the knowledge of indicators. information size of rough set, computes the Index X1 X3 X4 importance degree of each index SP(ri)(i=1,2,…,m). Importance degree 0.11 0.16 0.05 The classification of correspond relation P in the weight 0.34 0.5 0.16 universeU:U/ind(P)= { {s1},{s2},{s3},{s4},{s5}, {s6}}. If only take x3, x4 into account, namely 3.5 Comprehensive evaluation value calculation remove x1, the classification of correspond relation According to the reduction of index weight, each P-{x1} in the universe U is that: index score of environmental quality of six cities in U/ind(P-{ x1}={ {s1,s2},{s2 },{s3 ,s4},{s5},{s6}}. Poyang lake ecological economy zone can be According to the amount of information calculated out.
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