城市建设中生态环境保护的理性思考

保护生态环境是城市可持续发展的必然举措,而生态环境保护又是城市建设的重要内容之一。因此,在城市建设中生态环境的保护不容忽视,只有加强生态环境保护,才能更好地规划城市建设,促进城市经济发展,为人们提供一个良好的居住环境。本文主要从城市建设与生态环境保护的关系出发,探讨加强城市建设中生态环境保护的举措。     

城市固体废物不确定性多目标的优化管理

随着时代的不断发展,人们生活水平越来越高,城市产生的垃圾也越来越多。如何处理城市的垃圾,如何解决城市环保问题,是当前城市环保人员必须考虑的问题。技术人员应当对城市固体废物管理进行系统的分析,总结各种解决办法,将城市固体废物管理过程中对环境产生的影响进行货币化,使环境和经济有效地统一起来,以更加客观地解决多目标问题。     

地理信息系统在城市环境管理中的应用

地理信息系统（GIS）技术的应用是环境科技发展的一个重要方向,可用于城市环境规划与决策、环境监测、环境评价、环境模拟与预测等方面的环境管理工作,是实现城市可持续发展有力的技术支持.本文对城市环境管理中地理信息系统的应用进行了分析,内容包括地理信息系统应用于城市环境管理的优越性、GIS在城市环境规划与决策、环境监测、环境评价、环境模拟与预测中的应用,最后,以城市环境管理地理信息系统为例介绍了GIS在环境管理中的具体应用.     

城市土壤重金属污染及治理对策

城市化的进程加速了城市土壤的重金属污染,对人类的健康及生命造成威胁。文中分析讨论了土壤重金属污染的来源、空间分布特征及其影响人体健康的途径,并从环境化学的角度提出了相应的污染治理的对策以实现城市可持续发展。     

太原晋祠地区果园土壤呼吸的年际变化及其温度敏感性

太原晋祠地区曾经是著名的稻米之乡,随着晋祠泉的断流,区内土地利用从之前的以水稻田为主转变为以玉米和果园为主.因此,研究土地利用变化后土壤呼吸对于准确估算区域碳循环具有一定意义.基于此目的,本研究以原来为稻田、现为果园利用方式的样地为对象,对其土壤呼吸进行了7 a(2006~2012年)、每月1~3次的定位观测,分析了土壤呼吸的年际、季节变化及其与环境因子年际、季节变化的关系.结果表明,土壤呼吸与土壤温度的季节变化与天数的关系可以用3参数高斯方程模型进行拟合.土壤呼吸的季节变化与土壤温度的季节变化关系为极显著的指数关系,但其与土壤水分季节变化的关系不显著.土壤呼吸速率年平均值为(5.32±3.31)μmol·(m~2·s)-1;碳通量年平均值为1 690.2 g·m-2,在1 294.0~2 006.0g·m~(-2)之间变化,年际均值差异不显著.土壤呼吸的温度敏感性指数(Q_(10))值的年际变化以5、10和15 cm温度测定深度计算分别在1.54~2.20、1.68~2.48和1.82~2.46之间;土壤温度10℃对应的土壤呼吸(R_(10))值的年际变化在2.37~2.81、2.43~3.13和2.59~3.47μmol·(m~2·s)-1之间;Q_(10)和R10值均随土壤温度测定深度增加而增加.Q_(10)的年际变化与10 cm深度的土壤温度(T_(10))的年际变化关系极显著(P=0.016),与其它因子的关系不显著;在拟合方程中增加土壤水分因子不能提高对Q_(10)年际变化的预测精度,说明在本样地水分对Q_(10)的影响较小.R10值的年际变化与环境因子的年际变化关系不显著.与土壤呼吸与土壤温度的单因素模型相比,土壤温度和土壤水分的双变量指数模型可以提高预测土壤呼吸季节变化的准确性.研究结果可以为本地区及同类地区的土壤呼吸估算提供一定参考.     

系统动力学模型在城市发展规划环评中的应用——以山西省临汾市为例

鉴于作为评价对象的城市社会经济环境复合系统具有多目标、多要素、动态关联等突出的系统动力学特征,选择和应用系统动力学方法开展城市发展规划环评在理论上具有可行性和技术优势.作为典型资源型城市的山西省临汾市正面临转变发展方式和加快环境治理的紧迫要求,本文依托该市转型发展规划环评工作,在全面识别和剖析城市发展要素、现状问题及其成因基础上,以经济发展、产业结构、节能减排和环境改善为重点研究了规划要素间的动态反馈关系,以此构建城市转型发展规划环评SD模型,并对4个规划替代方案进行模拟和评价.结果显示,在环境目标刚性约束下所有替代方案均不能实现人均GDP翻番的较高经济增长目标,其中以较强环境约束为特征的"方案III"具有最好的环境与经济综合效果.据此评价建议临汾市应在确保实现环境改善目标的前提下主动放缓工业增长速度,同时加快以"煤焦铁电"为代表的主导产业结构调整并继续加大节能减排力度,全面提高城市可持续发展能力.     

清洁型城市河道养护管理技术标准的探讨

结合杭州古新河、西溪河、余杭塘河、备塘河、宁波马蜂港河、横间港河等十余条河道6~7年的持续养护管理经验(河道水质始终保持在V类水及以上),编写了清洁型城市河道养护管理技术标准。该标准简明扼要地概括了城市河道整治后的日常养护管理工作的主要内容、评价指标和适用范围以及技术档案管理系统的建立,为今后政府和相关企业河道养护管理作业提供了有益的参考。     

Biostability in distribution systems in one city in southern China：Characteristics, modeling and control strategy

This study investigated the bacterial regrowth in drinking water distribution systems receiving finished water from an advanced drinking water treatment plant in one city in southem China. Thirteen nodes in two water supply zones with different aged pipelines were selected to monitor water temperature, dissolved oxygen （DO）, chloramine residual, assimilable organic carbon （AOC）, and heterotrophic plate counts （HPC）. Regression and principal component analyses indicated that HPC had a strong correlation with chloramine residual. Based on Chick-Watson＇s Law and the Monod equation, biostability curves under different conditions were developed to achieve the goal of HPC 100 CFU/mL. The biostability curves could interpret the scenario under various AOC concentrations and predict the required chloramine residual concentration under the condition of high AOC level. The simulation was also carded out to predict the scenario with a stricter HPC goal （≤50 CFU/mL） and determine the required chloramine residual. The biological regrowth control strategy was assessed using biostability curve analysis. The results indicated that maintaining high chloramine residual concentration was the most practical way to achieve the goal of HPC ≤ 100 CFU/mL. Biostability curves could be a very useful tool for biostability control in distribution systems. This work could provide some new insights towards biostability control in real distribution systems.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

Compositions and sources of organic acids in fine particles (PM2.5) over the Pearl River Delta region, south China

Organic acids as important constituents of organic aerosols not only influence the aerosols' hygroscopic property, but also enhance the formation of new particles and secondary organic aerosols. This study reported organic acids including C14–C32fatty acids, C4–C9dicarboxylic acids and aromatic acids in PM2.5collected during winter 2009 at six typical urban, suburban and rural sites in the Pearl River Delta region. Averaged concentrations of C14–C32fatty acids, aromatic acids and C4– C9 dicarboxylic acids were 157, 72.5 and 50.7 ng/m3, respectively. They totally accounted for 1.7% of measured organic carbon. C20–C32fatty acids mainly deriving from higher plant wax showed the highest concentration at the upwind rural site with more vegetation around, while C14–C18fatty acids were more abundant at urban and suburban sites, and dicarboxylic acids and aromatic acids except 1,4-phthalic acid peaked at the downwind rural site. Succinic and azelaic acid were the most abundant among C4–C9dicarboxylic acids, and 1,2-phthalic and 1,4-phthalic acid were dominant aromatic acids. Dicarboxylic acids and aromatic acids exhibited significant mutual correlations except for 1,4-phthalic acid, which was probably primarily emitted from combustion of solid wastes containing polyethylene terephthalate plastics. Spatial patterns and correlations with typical source tracers suggested that C14–C32fatty acids were mainly primary while dicarboxylic and aromatic acids were largely secondary. Principal component analysis resolved six sources including biomass burning, natural higher plant wax, two mixed anthropogenic and two secondary sources; further multiple linear regression revealed their contributions to individual organic acids. It turned out that more than 70% of C14–C18fatty acids were attributed to anthropogenic sources, about 50%–85% of the C20–C32fatty acids were attributed to natural sources, 80%–95% of dicarboxylic acids and 1,2-phthalic acid were secondary in contrast with that 81% of 1,4-phthalic acid was primary.