对城市环境规划有关问题的探讨

这是作者在一九八二年提出双向控制理论时发表的一篇论文.本文首次提出了建立适合我国有计划商品经济体制的协调发展与环境的双向控制模式的构想.并对城市环境规划应当是生态规划与污染防治规划的统一.区域污染综合防治和企业工业单位总量控制相结合,以及技术政策的研究等做了论述.     

石头口门水库流域水污染物排放总量控制目标的确定方法研究

流域水污染物排放总量控制目标的确定是当前总量控制领域的研究热点。采用ReNuMa模型对石头口门水库流域建立了污染源—水质的定量响应关系,从径流量、总氮的模拟结果来看,模型的模拟精度满足要求。其次,建立了包括4部分内容(容量总量控制目标、规划年预测排污量、目标合理性因子、环境管理调控系数)的流域总氮总量控制目标确定模型。通过模型计算得到2020年石头口门水库流域总氮的总量控制目标为2.49万t。该总量控制目标确定模型统筹了目标总量控制与容量总量控制要求,兼具科学性与可行性。     

总量控制与太湖流域水污染治理——《太湖流域水环境综合治理总体方案》述评

《太湖流域水环境综合治理总体方案》是针对太湖流域的新型总量控制计划,代表中国水污染物总量控制计划的巨大进步。它与美国的"每日最大总负荷"(TMDL)计划比较相似。该方案的编制技术路线合理,要素比较齐全。然而该方案也存在明显缺陷。该方案的未来修订有必要考虑城市径流,提高安全余量,考虑季节性差异,提高阶段性总量控制目标和水质目标,阐明终极水质目标和总量控制目标。     

嫩江水污染物排放总量分配方法研究

本文针对嫩江沿岸采用氧化塘处理污水的特点，为充分合理利用水环境容量，以流域总量控制的原则为指导，建立了水污染物总量分配模型，预测不同流量和不同排污情况下的水质，确定不同流量下给定水质目标的临界距离和允许排污量。     

水污染负荷总量控制研究进展

系统分析了水污染负荷总量控制研究的基本内容 ,重点从水污染负荷总量的科学定量及其优化分配这两个关键技术出发 ,介绍和总结了近年来国内外水污染负荷总量控制研究在方法和理念上的进展。总结了污染负荷总量的确定中水质模型的发展和完善、模型不确定性研究及其与 GIS技术的结合 ,介绍了负荷总量分配在优化方法、公平性研究及排污权交易的应用等方面的研究进展     

浙江省太湖流域水环境管理思路研究

评估了水环境质量现状、剖析了水环境管理中存在的主要问题;系统分析了总量控制政策实施以来取得的成效,并从面源污染控制、总量分配技术、总量控制因子和环境管理政策体系方面分析了总量控制实施中存在的问题;提出了浙江省太湖流域未来水环境管理的总体思路和重点任务:初步设计了总量分配方案的制定、评估与优化技术;明确提出了氮磷污染控制的建议,以期能为"十二五"期间浙江省制定重点流域水污染防治规划和水环境管理战略提供技术支撑和参考.     

中国总量控制实践与发展态势

文中所说“总量控制”，全称是污染物排放总量控制制度。当污染物超出环境容量，总量控制一般以削减现有总量的方式出现，也就是通常所说的“减排”。结构减排在减排中占据主导的核心地位。实践表明，“节能必减排，减排促节能”。节能减排相结合是推动经济发展方式转变、调整经济结构、提高自主创新能力、实现环境与发展“双赢”的一种有效途径，也是科学发展的必然要求。节能减排与应对气候变化密不可分，是应对气候变化的主要支撑面。控制温室气体（以CO2为代表）排放强度，是对污染物排放总量控制制度的深化与发展。     

区域污染物总量控制绩效评估技术及动态化管理建议与对策研究（二）

首次指出了物元分析隶属函数及运算模型在区域污染物总量控制动态化管理中的应用.研究成果是对扬州市的10年污染物总量控制系统性、宏观性的展开,丰富了区域污染物总量控制的理论体系,且进一步表明：该成果不仅为污染物总量控制进行动态化、规范化管理提供了科学的技术支撑,也为促进区域经济结构调整和增长方式的转变,实施循环经济的决策提供了保障.     

总量目标控制是企业环境管理的核心

提出总量目标控制是企业环境管理的核心，为企业在发展生产的同时控制和削减污染物的总量，指出可行的实施意见。     

水污染控制规划与GIS

在水污染控制规划中,总量控制是新手段,概率模型是新方法,ＧＩＳ是新工具。利用上述新手段,新方法和新工具,系统地介绍了水污染控制规划,初步探索了基于ＧＩＳ的水污染控制规划的实施途径。     

Air Pollution Control Costs for Coal-to-Electricity Systems

This paper describes a comprehensive set of economic models developed to assess the air pollution control costs of alternative systems for generating electricity from coal. Models of individual system components were formulated based on engineering and statistical analyses of other detailed models and data reported in the literature for currently available technologies. The air pollution control options modeled include 4 levels of physical coal cleaning, 3 types of dry fly ash collectors, a wet limestone FGD system, and 2 options for solid waste disposal. In addition, the cost of a power plant with no air pollution controls was modeled to determine the total system cost, including energy needed to operate environmental control systems. The principal criteria guiding the development of these models were that they be (1) computationally simple and economical to use, with a minimum of detailed data requirements, (2) sensitive to variations in pollutant emission regulations, coal characteristics, and key plant design parameters, and (3) systematic, based on a specified amount of power production and the same constant dollars. Extensive sensitivity analyses and case studies performed with these models indicate excellent agreement with the results of other studies and models applicable only to individual environmental control options. Applications of these models are discussed and illustrative results presented.     

A Computer Plot for a High Temperature Psychrometric Chart

This paper presents results of multivariate regression models developed to estimate the properties and cost of U.S. coals washed for varying degrees of sulfur removal using commercially available physical coal preparation processes. The models allow washed coal characteristics to be predicted from information on coal origin, heating value, ash, and sulfur content. The models were developed by first "processing" each of the 710 coals in the U.S. Bureau of Mines (USBM) coal washability data base through a coal preparation plant computer model which optimizes plant performance to achieve a desired washed coal quality. Washability data are adjusted to account for the inefficiencies of coal washing equipment, and the actual coal sizes treated by various plant wash streams. Since different plant designs may be capable of achieving a given level of sulfur removal, three nominal levels of plant complexity (Levels 2, 3, 4) were included to identify the most economical alternative. The washed coal characteristics thus derived were then analyzed using standard statistical techniques to develop regression equations linking washed coal properties and cost to raw coal properties for each of 18 geographical regions encompassing the entire U.S. These regression models are incorporated in the Advanced Utility Simulation Model (AUSM) to estimate the economic potential of coal washing as a sulfur abatement strategy, in conjunction with other options available to coal-fired power plants. Modeling results for Pennsylvania showed that washed coals frequently were selected as part of a cost-effective control strategy, accounting for 10 to 30 percent of the total emissions reduction, and that "local coal" restrictions significantly increase the use of washed coal as an SO₂ control strategy. Hypothetical requirements for mandatory coal cleaning, however, were found to be costly and ineffective.     

Analysis of the mechanism of the impact of internet development on green economic growth: evidence from 269 prefecture cities in China

As the digital economy develops rapidly and the network information technology advances, new development models represented by the network economy have emerged, which have a crucial impact on green economic growth. However, the relevant previous studies lacked the role of analyzing the direct and indirect effects of internet development on green economic growth at the prefecture-level city level. For this purpose, this paper aims to examine the intrinsic mechanism of the impact of internet development on green economic growth and provide empirical support for cities and regions in China to increase internet construction. Furthermore, the mixed model (EBM), which includes both radial and non-radial distance functions, is applied to calculate the green economic growth index. Fixed effect model and mediation effect model are also employed to test influence mechanisms of the internet development on green economic growth using panel data of 269 prefecture-level cities in China from 2004 to 2019. The statistical results reveal that internet development has contributed significantly to green economic growth. When the internet development level increases by 1 unit, the green economic growth level increases by an average of 5.0372 units. However, regional heterogeneity is evident between internet development and green economic growth, that is, the promoting effect of internet development on green economic growth is gradually enhanced from the eastern region to the western region. We also find that internet development guides industrial structure upgrading improves environmental quality and accelerates enterprise innovation, which indirectly contributes to green economic growth. And internet development mainly achieves green economic growth through enterprise innovation. Based on the above findings, we concluded that policymakers should not only strengthen the guiding role of social actors to promote the stable development of the internet industry, but also foster the construction of the three models of “internet+industry integration,” “internet+environmental governance,” and “internet+enterprise innovation” to promote green economic growth.

     

Support vector machine―an alternative to artificial neuron network for water quality forecasting in an agricultural nonpoint source polluted river?

Water quality forecasting in agricultural drainage river basins is difficult because of the complicated nonpoint source (NPS) pollution transport processes and river self-purification processes involved in highly nonlinear problems. Artificial neural network (ANN) and support vector model (SVM) were developed to predict total nitrogen (TN) and total phosphorus (TP) concentrations for any location of the river polluted by agricultural NPS pollution in eastern China. River flow, water temperature, flow travel time, rainfall, dissolved oxygen, and upstream TN or TP concentrations were selected as initial inputs of the two models. Monthly, bimonthly, and trimonthly datasets were selected to train the two models, respectively, and the same monthly dataset which had not been used for training was chosen to test the models in order to compare their generalization performance. Trial and error analysis and genetic algorisms (GA) were employed to optimize the parameters of ANN and SVM models, respectively. The results indicated that the proposed SVM models performed better generalization ability due to avoiding the occurrence of overtraining and optimizing fewer parameters based on structural risk minimization (SRM) principle. Furthermore, both TN and TP SVM models trained by trimonthly datasets achieved greater forecasting accuracy than corresponding ANN models. Thus, SVM models will be a powerful alternative method because it is an efficient and economic tool to accurately predict water quality with low risk. The sensitivity analyses of two models indicated that decreasing upstream input concentrations during the dry season and NPS emission along the reach during average or flood season should be an effective way to improve Changle River water quality. If the necessary water quality and hydrology data and even trimonthly data are available, the SVM methodology developed here can easily be applied to other NPS-polluted rivers.     

An Analysis of State Air Pollution Conrol Expenditures

Air pollution control, a significant problem facing state governments, receives a varying amount of fiscal resources in each state. The purpose of this paper is to examine social, economic, and political factors that may be related to state air pollution control expenditures. The indicators of the social-economic factors are urbanization, industrial pollution potential, income, and industrialization. The indicators of the political system are interparty competition, malapportionment, voter participation, local control effort, and general state expenditure efforts. The findings show that the few states expending for air pollution control in 1963 were, for the most part, characterized by a high level of economic development. In 1967, states at all levels of economic development allocated revenues for air pollution, although the more developed continued to hold an edge. In neither year did the political variables differentiate between levels of expenditure. The reasons advanced for the expenditure behavior in 1963 are the historical predominance of local control and the structural limitations of state governments. The wider, and increased, expenditures in 1967 are assessed to be the result of federal grants, the vigorous effort put forth by state control officials, and the increased public concern for the problem.     

国家级流域水环境保护总体规划一般模式研究

流域综合水管理是发达国家普遍采用的管理模式,主要手段之一是制定流域水环境保护总体规划.流域水环境保护总体规划是流域各相关利益方就流域社会经济发展与水环境保护达成的决策,是其他所有规划制定的基础和依据,核心内容是规划目标的确定.流域水环境保护总体规划是流域综合管理的决策平台和信息共享平台,是环境保护的刚性约束,为流域水资源开发利用划定红线.流域水环境保护总体规划是目标导向型的,通过指标体系指导省级行政区负责制定的小流域水环境保护规划,协调流域内省级行政区国民经济和社会发展规划、土地利用总体规划、城市总体规划等其他部门规划.中国目前缺乏流域水环境保护总体规划,基于此提出了国家级流域水环境保护总体规划的一般模式,包括基本内容、规划文本和规划实施3个部分.流域水环境保护总体规划实施的主要手段是审批小流域水环境保护规划.     

Analysis of air pollution data at a mixed source location using boosted regression trees

This paper explores the use of boosted regression trees to draw inferences concerning the source characteristics at a location of high source complexity. Models are developed for hourly concentrations of nitrogen oxides (NO_X) close to a large international airport. Model development is discussed and methods to quantify model uncertainties developed. It is shown that good explanatory models can be developed and further, allowing for interactions between model variables significantly improves the model fits compared with non-interacting models. Methods are used to determine which variables exert most influence over predicted concentrations and to explore the NO_X dependency for each. Model predictions are used to estimate aircraft take-off contributions to total concentrations of NO_X and determine how these predictions are affected by annual variations in meteorological conditions and runway use patterns. Furthermore, the results relating to the aircraft contributions to total NO_X concentration are compared with those from a more detailed independent field campaign. Finally, we find empirical evidence that plumes from larger aircraft disperse more rapidly from the point of release compared with smaller aircraft. The reasons for this behaviour and the implications are discussed.     

秸秆成型燃料棒替代普通燃煤在0.8 t/h锅炉应用性试验

采用新研制开发的秸秆成型燃料棒与普通燃煤在基本相同的条件下进行对比试验，结果表明在0.8t／h工业锅炉上燃用相等量秸秆成型燃料棒与普通燃煤时锅炉的出力相当，而烟气污染物排放浓度远低于国家排放标准的限值。     

Modeling the formation of chlorination by-products in river waters with different quality

Water chlorination results in formation of a variety of organic compounds, known as chlorination by-products (CBPs), mainly trihalomethanes (THMs) and haloacetic acids (HAAs). Factors affecting their concentrations have been found to be organic matter content of water, pH, temperature, chlorine dose, contact time and bromide concentration, but the mechanisms of their formation are still under investigation. Within this scope, chlorination experiments have been conducted with river waters from Lesvos island, Greece, with different water quality regarding bromide concentration and organic matter content. The factors studied were pH, time and chlorine dose. The determination of CBPs was carried out by gas chromatography techniques. Statistical analysis of the results was focused on the development of multiple regression models for predicting the concentrations of total trihalomethanes and total HAAs based on the use of pH, reaction time and chlorine dose. The developed models, although providing satisfactory estimations of the concentrations of the CBPs, showed lower correlation coefficients than the multiple regression models developed for THMs only during previous study. It seems that the different water quality characteristics of the two river waters in the present study is responsible for this phenomenon. The results indicate that under these conditions the formation of THMs and HAAs in water has a more stochastic character, which is difficult to be described by the conventional regression techniques.     

膜生物反应器次临界通量运行的膜污染特性研究

膜生物反应器（MBR）是将膜分离与生物反应相结合的污水处理新工艺,近年来已引起广泛的关注,但不可避免的膜污染限制其更广泛的应用。临界通量在膜污染控制中是个非常重要的概念。本试验研究平板膜生物反应器在次临界通量运行下的膜污染状况,并结合膜污染模型进一步表征膜表面的污染特性。试验结果表明。该平板膜生物反应器在次临界通量运行的情况下,膜污染可分为膜污染缓慢发展阶段（第Ⅰ阶段）和膜污染迅速发展阶段（第Ⅱ阶段）,可分别用膜孔堵塞模型和泥饼阻力模型表征膜阻力与时间的变化关系。同时,对运行后的膜阻力分布进行分析,表明泥饼阻力和孔道吸附堵塞阻力是膜污染的主要组成部分,分别占到总阻力的73％和24％,而膜本身阻力仅占3％。