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.     

我国辐射环境自动监测系统建设的回顾与展望

辐射环境自动监测是我国辐射环境监测工作的重要内容,是核与辐射安全监管工作的重要手段.本文回顾了“十一五”以来,我国辐射环境自动监测系统建设的进展情况和在核与辐射监管工作中所发挥的作用,总结了辐射环境自动监测系统的建设和运行经验,并对今后的工作进行了展望,提出了完善系统建设和运行的合理化建议.研究指出,作为国家辐射环境监测网的重要组成部分,辐射环境自动监测系统初步具备了对我国省会城市和主要地级城市的辐射环境质量状况的实时监测能力.但由于我国辐射环境自动监测站于2008年底才开始在全国范围内建设,起步较晚、经验不足,依然存在点位数量和代表性不够、自动化程度不够高、软件系统功能不成熟、标准化和规范化问题比较突出,缺乏质量控制技术、运行维护难度大等问题.为此本文提出：第一,增加自动监测站数量,点位布设更有针对性;第二,增加自动监测站的类型;第三,加强软件系统的分析和控制能力;第四,完善相关标准、技术规范和质保体系;第五,完善运行维护体系;第六,增强国际学习和交流.     

Bi-PbO2电极电化学氧化去除模拟废水中氨氮的研究

本实验采用钛网作为基体,利用电沉积方法制备了纯PbO2电极和Bi-PbO2电极,通过SEM、XRD、XPS对电极的表面形态进行了表征,利用循环伏安法对Bi-PbO2电极电化学特性进行了研究.同时,以氨氮模拟废水作为研究对象,考察了Bi-PbO2电极的电催化活性,探讨了氨氮电化学氧化降解机理.结果表明,Bi-PbO2电极的形态表征、电催化活性明显高于纯PbO2电极,氨氮的去除效率随电流密度的增加而提高,碱性条件下氨氮的去除效果明显好于酸性条件,适量浓度的Cl-的引入在碱性条件下提高了氨氮的去除效果.当氨氮初始浓度为50 mg·L-1、电流密度为40 mA·cm-2、pH=12、Cl-浓度为600 mg·L-1时,电解120 min后,氨氮100%去除.氨氮的降解机理为:体系中无添加氯离子,酸性条件下氨氮主要是通过间接氧化去除,碱性条件下通过直接电氧化和间接氧化共同完成;体系中添加氯离子,氨氮的去除主要是通过溶液中生成的有效氯间接氧化去除.     

厦门湾流域河流氮污染综合溯源与水体达标策略

全球变化背景下海岸带地区面临多种环境压力,快速城镇化和人类活动导致河流与海湾营养盐污染和富营养化问题加重,污染溯源是水体达标方案编制与实施的重要环节.兼顾科学性与操作性,本文基于综合溯源思路,以厦门湾河流为例,于水质较差的枯水期开展水系沿程梯度调查,进行氮的生物地球化学过程解析,结合硝酸盐氮氧双位素及土地利用统计分析,探明氮污染关键源区和氨氮超标成因.结果表明,研究区63%的站位水中氨氮占无机氮的50%以上,沿下游方向氨氮污染加重,且与城镇与农村宅基地、渔塘的面积占比均呈正相关.土壤氮、粪肥及污水和化肥贡献了硝酸盐89%~91%的来源.最后,提出了污染减排(控源)、生态修复(增容)、以海定陆(统筹)的水体达标策略,为我国水污染防治与管理提供方法示范.     

资源和环境的存在价值的经济学基础

资源与环境的存在价值为独立与人们对资源的现期使用的价值。在资源,环境的代际问题中,存在价值会成为重要的决策参数。本文对存在价值的同予以分陈、归纳,并以反映其特点的结构进行表述;其次对存在价值与其它类别的价值尤其是期权价值,准期作出区分。     

钙钛矿型催化剂催化湿式氧化处理煤气化废水纳滤浓缩液

采用溶胶-凝胶法制备了Mn掺杂钙钛矿型催化剂LaFexMn1-xO3,并以其为催化剂催化湿式双氧水氧化处理煤气化废水纳滤浓缩液。采用XRD,SEM,FTIR技术对催化剂进行了表征。表征结果显示：制备的催化剂均具有标准的钙钛矿型结构,其中,LaFe0.9Mn0.1O3的结构稳定,比表面积大。实验结果表明：制备的催化剂中LaFe0.9Mn0.1O3的催化活性最高,且稳定性好,连续使用5次后催化活性未见明显减弱;在H2O2投加量3.0 g/L、n（H2O2）∶n（LaFe0.9Mn0.1O3）=12∶1、反应温度160 ℃、反应压力1 MPa、浓缩液pH 3、反应时间60 min的最优条件下,COD、UV254和TOC的去除率分别达到80.9%、95.2%和68.0%,BOD5/COD由0.02提升至0.40,可生化性大幅提高。     

Absorption characteristics of potassium carbonate-based solutions with rate promoters and corrosion inhibitors

In this research, absorbents for CO₂ capture were prepared by blending 30 wt% potassium carbonate, 3 wt% of a rate promoter, and 1 wt% of a corrosion inhibitor. Pipecolic acid, sarcosine, and diethanolamine were chosen as rate promoter candidates. Based on a rate promoter screening test for CO₂ loading capacity and absorption rate, pipecolic acid and sarcosine were selected to be used as rate promoters. 1,2,3-benzotriazole and ammonium thiocyanate were chosen as corrosion inhibitors, and they were mixed with a 30 wt% potassium carbonate-based absorbent mixture containing one of the rate promoters. The absorption rates for four absorbent solutions (30 wt% potassium carbonate?+?3 wt% pipecolic acid?+?1 wt% 1,2,3-benzotriazole, 30 wt% potassium carbonate?+?3 wt% pipecolic acid?+?1 wt% ammonium thiocyanate, 30 wt% potassium carbonate?+?3 wt% sarcosine?+?1 wt% 1,2,3-benzotriazole, and 30 wt% potassium carbonate?+?3 wt% sarcosine?+?1 wt% ammonium thiocyanate) were measured, tabulated, and graphically displayed. These types of absorbents can be used for capturing CO₂ under high temperature and pressure conditions, such as those found in coal-fired power plants.     

Biodegradation of Poly(Aspartic Acid-Itaconic Acid) Copolymers by Miscellaneous Microbes from Natural Water

Poly(aspartic acid-itaconic acid) copolymers (PAI) is a new scale inhibitor for water treatment. Thus, it is necessary to investigate its biodegradability. The biodegradability of PAI was investigated through CO₂ evolution tests under different conditions based on determination of carbon dioxide production. The investigation results showed that the degradation rate of PAI on day 10 and day 28 were respectively 38.7 and 79.5%, indicating that PAI was one kind of easily biodegradable scale inhibitors. With the increase in the content of itaconic acid in copolymerization process, the biodegradability of PAI was significantly reduced. In addition, the high biodegradability might be attributed to the existence of C–N bone-structure and more –COO–. Finally, Cu²⁺ could decrease the degradation percentage and the enzyme inhibition effect of Cu²⁺ was not the linear effect, but the “low-dosage effect”.     

Current status and historical variations of phthalate ester (PAE) contamination in the sediments from a large Chinese lake (Lake Chaohu)

The residual levels of phthalate esters (PAEs) in the surface and two core sediments from Lake Chaohu were measured with a gas chromatograph–mass spectrometer (GC–MS). The temporal–spatial distributions, compositions of PAEs, and their effecting factors were investigated. The results indicated that di-n-butyl phthalate (DnBP), diisobutyl phthalate (DIBP), and di(2-ethylhexyl) phthalate (DEHP) were three dominant PAE components in both the surface and core sediments. The residual level of total detected PAEs (∑PAEs) in the surface sediments (2.146?±?2.255 μg/g dw) was lower than that in the western core sediments (10.615?±?9.733 μg/g) and in the eastern core sediments (5.109?±?4.741 μg/g). The average content of ∑PAEs in the surface sediments from the inflow rivers (4.128?±?1.738 μg/g dw) was an order of magnitude higher than those from the lake (0.323?±?0.093 μg/g dw), and there were similar PAE compositions between the lake and inflow rivers. This finding means that there were important effects of PAE input from the inflow rivers on the compositions and distributions of PAEs in the surface sediments. An increasing trend was found for the residual levels of ΣPAEs, DnBP, and DIBP from the bottom to the surface in both the western and eastern core sediments. Increasing PAE usage with the population growth, urbanization, and industrial and agricultural development in Lake Chaohu watershed would result in the increasing production of PAEs and their resulting presence in the sediments. The significant positive relationships were also found between the PAE contents and the percentage of sand particles, as well as TOC contents in the sediment cores.