A Study on the Development Model of Novel Industrialized City based on Circular Economy Theory

循环经济作为实现社会可持续发展的重要发展模式，越来越受到国际社会的广泛关注。 纵观国内外循环经济的研究和应用现状，我国在发展循环经济的道路上，还存在诸多问题和不足：在理论层面上，对于循环经济理论的研究刚刚处于起步阶段，对循环经济的研究主要处于认识阶段，理论体系尚未健全，缺乏对循环经济实现手段的系统研究；在实践层面上，循环经济的发展模式仍以模仿国外发达国家为主，适合我国国情的循环经济发展模式尚处于研究探索之中。基于此，本文认为亟需解决的问题：针对循环经济理论研究滞后于实践的现象，应加强对为循环经济服务的理论研究；由于循环经济涉及面广，应结合具体情况，研究探索适合不同地区、不同领域、不同层次的循...As an important development mode of achieving sustainable social, circular economy draws more and more worldwide attention. Throughout the status quo of research and application of circular economy, there are still many problems and shortcomings in China’s circular economy development. At the theoretical level, research in circular economy theory is just in its infancy. The research of circula...学位：工学博士院系专业：海洋与环境学院环境科学研究中心_环境科学学号：B20003400

城市生态系统服务功能价值的研究与实践

该文构建了以提供物质原料、维持生命支持系统、提供精神美学享受共3大类10项功能的城市生态系统服务功能价值结构表,并对厦门市同安区的经济价值进行估算。结果表明,同安区生态系统服务功能具有巨大的经济效益,2005年、2009年总价值分别为137.63亿元、134.06亿元;在城市生态系统中,林地和园地生态系统对整个服务价值的贡献量最大,共提供约94%的价值;而固碳释氧功能在城市生态系统服务功能中最为显著

清洁生产与环境影响评价的全过程结合的探讨

分析了现行建设项目环境影响评价制度存在的弊端 ,评述了将清洁生产引入建设项目环境影响评价的意义。为进一步提高环境影响评价的实用性和有效性 ,促进清洁生产在工业企业的推行 ,提出并探讨了如何在环境影响评价的全过程中贯彻清洁生产理念和应用清洁生产方法 ,促进两者的有效结合

Recognition of Infrared Spectrum Composition of Landmark Based on GA Optimization

为了从TM影像中提取不同地物红外光谱信息特征 ,构造了地物光谱组合的函数关系式 ,提出了从地物TM影像中分辨出某类地物的一般原则 ,并采用遗传算法优化确定地物光谱组合关系式中的系数。根据不同地物与函数值分布范围的对应关系 ,可以较容易地由TM影像作出多种不同地物的识别。实例分析表明这种地物光谱识别模型具有简单性、实用性和可分辨性等特点。In order to extract the information characterization of landmark infrared spectrum out of TM image,it is necessary to construct the functional relation of landmark spectrum compositions and to propose the general principle of landmark recognition out of TM image.Genetic algorithm (GA) is applied to optimize the coefficients of functional relation of landmark spectrum composition.It is very easy to recognize each landmark from TM image,according to the correspondent relation between each landmark and the ranges of function values.The analysis of cases shows that this recognition model of landmark spectrum composition has the properties of simplicity,practicability and differentiation国家自然科学基金项目 (4 990 10 13 );; 成都信息工程学院院管课题

基于AHP的生态养殖业可持续发展指标权重实证研究

根据永安市养殖业循环经济发展的需要,该文在永安市生态养殖业可持续发展指标体系基础上,采用层次分析法(AHP)对指标权重进行分析,建立判断矩阵,并对指标权重进行计算分析。依据指标权重,为提升永安市生态养殖业可持续发展综合能力提供科学依据

Optimization of Precipitation Ion Related pH and the Prediction of pH Values by Projection Pursuit Regression

应用投影寻踪回归（PPr）分析技术的SMArT算法得到因子的权重序列，可实现对降水中与酸性PH值有关的离子的优选。实例分析结果表明，用优选出的离子作为特征因子，建立PH值的投影寻踪回归预测模型，具有较高的预测精度和较好的稳定性The weight series of factors is derived to optimize ions related the precipitation acidification pH by using the SMART algorithm of projection pursuit regression technique.Analysis of examples show that the pH prediction model found by projection pursuit based on optimal ion factors is characterised by its good predictive precision and steady

Importance of pollutant sources of atmospheric particulates based on rough sets theory

基于粗集理论 (RS)对于不确定性问题的近似分类的思想和方法 ,通过计算大气污染源排放的元素组成的差异程度与大气颗粒物样本中元素含量的分类关系 ,用排放源对于大气颗粒物元素含量的有效程度为标准来评价排放源的重要性 .进行了实例分析计算并与其它几种源解析法结果比较表明 :不同源解析法给出的主要排放源的重要性排序是一致的 .Based on the approximation classification thoughts and method of rough sets theory for uncertainty information,calculation were carried out to study the classification relation betwwen the different extents of element components of atmospheric pollution sources and the element contents of atmospheric particulate samples.Importance evaluation of source was performed using the effective extent of source as standard for the element content of atmospheric particulate.Analyses of cases and comparisons with other source apportionments suggested that the orders of importance of main atmospheric pollutant sources show no difference using different sources apportionment.国家“九·五”重点科技攻关项目 (96 911 0 8 0 3 0 5 )资

应用BP神经网络实现环境监测的优化布点

环境测点的合理布设关系到只用少量测点的监测数据就能客观、准确地反映区域环境质量 ,采用传统的优化统计模型对监测数据进行分析处理一般较繁。基于人工神经网络应用于模式分类与识别具有适应能力强、客观性好的特点 ,提出将人工神经网络BP算法与逐步聚类分析的思想相结合 ,实现对环境测点的逐步聚类优选 ,用该方法对贵阳市1992～1993年期间的16个大气环境测点的监测数据进行优选 ,得到的6个优选点符合实际结果国家“九五”重点科技攻关项目!(96—911—08—03

Source Apportionment of Atmospheric Particulates Based on Genetic Algorithm

遗传算法是一种全局优化的随机搜索方法 ,适用于模型参数寻优。将遗传算法用于大气颗粒物源解析的CMB方程组中参数的优化 ,得到各污染源对大气颗粒物的优化贡献率。该方法应用于成都市大气颗粒物的源解析结果与用其他多种源解析法得出的结果基本一致。理论分析和应用实践表明了遗传算法用于大气颗粒物源解析研究具有简便、准确和实用性强等特点Genetic algorithm (GA)is a random search method which is suitable for the optimum of model parameters because of its global optimum.Optimal contribution rates of atmospheric particulates of each pollution source were calculated by using GA to optimize the parameters in CMB equation sets of sources apportionment of atmospheric particulates.Results of sources apportionment of atmospheric particulates in Chengdu using GA tallied with that of sources apportionment of other methods.It is shown that GA is simple,precise and practical for sources apportionment of atmospheric particulates by the theoretical analysis and practical application.国家“九五”重点科技攻关项目!(96 -911-0 8-0 3

Prediction model of agricultural plant diseases and insect pests based on artificial neural network and its verification

选取与病虫害有关的因子作为样本的输入特征,建立了农业病虫害年分类预测的b-P人工神经网络模型。该方法应用于稻瘟病的预测建模结果的拟合率为100%,预留样本检验报准率为83%。A model is developed for the classified prediction of agricultural plant diseases and insect pests using B P artificial neural network with factors related to agricultural plant diseases and insect pests as input features of sample.The results of prediction to rice blast show that the qualified retes of fitting and predicting using this model acquire 100% and 33.3%,respectively.:四川省应用科学研究基