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.     

Quantitative method to determine the regional drinking water odorant regulation goals based on odor sensitivity distribution：Illustrated using 2-MIB

Taste and odor （T/O） in drinking water often cause consumer complaints and are thus regulated in many countries. However, people in different regions may exhibit different sensitivities toward WO. This study proposed a method to determine the regional drinking water odorant regulation goals （ORGs） based on the odor sensitivity distribution of the local population. The distribution of odor sensitivity to 2-methylisobomeol （2-MIB） by the local population in Beijing, China was revealed by using a normal distribution function/model to describe the odor complaint response to a 2-MIB episode in 2005, and a 2-MIB concentration of 12.9 ng/L and FPA （flavor profile analysis） intensity of 2.5 was found to be the critical point to cause odor complaints. Thus the Beijing ORG for 2-MIB was determined to be 12.9 ng/L. Based on the assumption that the local FPA panel can represent the local population in terms of sensitivity to odor, and that the critical FPA intensity causing odor complaints was 2.5, this study tried to determine the ORGs for seven other cities of China by performing FPA tests using an FPA panel from the corresponding city. ORG values between 12.9 and 31.6 ng/L were determined, showing that a unified ORG may not be suitable for drinking water odor regulations. This study presents a novel approach for setting drinking water odor regulations.     

乌鲁木齐水污染现状与防治对策研究

本文将对乌鲁木齐地区水污染的现状、水污染的主要因素以及水污染的途径加以描述和分析,并提出可行的防治措施.     

多级过滤技术在汽车工业废水处理尾水回用中的应用

某大型汽车厂设计采用多级过滤技术对工业废水处理尾水进行深度处理,再生后的中水回用于工业循环冷却水系统。介绍了多级过滤工艺的系统组成、工艺原理及处理效果。实际运行情况表明:采用多级过滤技术处理汽车工业废水处理后的尾水,系统运行稳定,出水水质良好,满足GB/T 19923—2005《再生水用作冷却用水的水质控制标准》的要求。     

论水处理工程中的节能

人们在污水处理厂的建设中对污水处理工艺的先进性、可靠性以及工程投资大小考虑较多,而对污水处理厂建成后的运营管理考虑较少,因而造成许多污水处理厂建成后由于运营成本过高而不能正常运行。从能耗角度出发,分析造成运行成本高的主要原因以及相应采取的措施。     

气相色谱法测定废水中6种挥发性脂肪酸含量

挥发性脂肪酸(VFA)是厌氧消化过程的重要中间产物,在反应器运行中,出水VFA用作重要的控制指标。通过色谱条件探索将各种脂肪酸分离,同时研究了水样酸碱度,吸附等对测定的影响,进一步优化了废水中挥发性脂肪酸的测定。方法的检出限在0.99~1.77 mg/L,回收率在90.9%~102.7%之间,相对标准差(n=5)在1.3%~3.8%之间。     

饮用水源地的水华对人体健康风险评价

饮用水源地的水华现象近年来在世界各地不断爆发,给人类饮水安全造成极大的威胁。本文通过检测微囊藻毒素和三卤甲烷类物质,利用急性暴露安全阈值（浓度）计算模型,计算出了各自的急性暴露安全阅值,并对健康风险进行了评价。     

浅析大沽河流域水质状况及变化趋势

大沽河流域监测数据显示:2012年,大沽河干流水质良好,功能区达标率为100%,多数断面综合污染指数呈丰水期枯水期平水期。大沽河主要支流水质总体为轻度污染,主要污染指标为五日生化需氧量、化学需氧量、氟化物,功能区达标率为68.8%,从污染较重河流(桃源河、云溪河、洙河下游)不同水期综合污染指数来看,桃源河和洙河下游呈丰水期﹥平水期﹥枯水期;云溪河由于贯穿胶州城区,受农业面源、降水因素影响较小,呈枯水期﹥丰水期﹥平水期。2006—2012年,大沽河干流水质基本保持稳定,主要支流水质呈改善趋势。     

扬州市区水环境质量现状及防治对策

通过对扬州市区境内河流和地下水的环境质量进行调查分析,结果表明：河流水质较好,城区污水都排入污水处理厂且处理厂正常运行,水质达标排放,主要的污染物是有机污染物;地下水达到水质标准,由于地质原因,主要污染指标为总硬度和总矿化度。但仍应加大污染防治力度,针对水环境现状和问题,采取有效措施,坚持深入开展环境宣传教育,依靠科技进步,科学防治环境污染,控制污染源,实行达标制度,提高人们自身环保意识,促进水资源的可持续利用。     

地下岩溶水环境质量评价模型研究

该文利用模糊数学和灰色理论的相关知识,根据地下岩溶水系统水化学动态特征和污染机理以及水文地质条件自身特点建立了地下岩溶水环境质量评价数学模型;并验证此模型,对西龙河峄山断层带水源地的地下岩溶水环境质量进行了综合评价。评价结果表明：该岩溶水系统大部分地区地下水的环境质量状况较好,局部地段较差,且地下水环境质量的分布特征与区域水文地质条件及水源地补给排泄关系具有较好的相关性。此结论与运用加权均值型指数评价法得到的结论相同,这说明此模型的建立是合理的,评价结果是完全可靠的。