三峡库区悬移质泥沙对磷污染物的吸附解吸特性

就三峡库区悬移质泥沙对磷污染物的吸附解吸特性从野外同步监测和室内试验研究两个方面展开研究。选取长江干流、嘉陵江和乌江共7个监测断面于2002年和2003进行野外同步监测,测试结果表明：水中的悬移质泥沙对水中各种覆存形态的磷污染物浓度具有显著影响,单位重量泥沙对磷的吸附量与水体总泥沙含量、泥沙粒径有密切关系。采集寸滩断面泥沙对磷酸盐吸附解吸特性进行室内试验研究,并根据Langmuir吸附动力学方程对吸附解吸过程进行了拟合,发现吸附速率常数k随着泥沙粒径的增加而呈递增变化,而磷酸盐初始浓度对k值的影响并不明显,同时,磷酸盐解吸量随着泥沙浓度的增加和粒径的增加呈递减变化,k值随着泥沙粒径的增加而呈递增变化,泥沙浓度对k值的影响不明显。     

淀山湖沉积物碳-氮垂直分布特征

近年来,经过一系列污染治理措施,淀山湖的营养水平持续下降,但每年仍有不同程度的蓝藻水华暴发,严重影响其作为水源地的安全性。为了进一步探讨淀山湖水质改善策略,本研究对淀山湖沉积物营养状况进行了调查研究,分析了淀山湖沉积物碳、氮分布特征及垂直变化规律,并用沉积物肥力评价了淀山湖沉积物营养程度。结果表明,淀山湖沉积物营养盐存在明显的富集作用,二十多年来沉积物碳、氮含量大幅上升,表层沉积物均属于重污染状态。空间分布上,沉积物营养盐北部高,南部低,北部样点大部分属于重污染状态,南部样点基本属于中污染状态。垂直分布上,受航道回淤与北部围网养殖影响,部分样点营养盐垂直分布规律不显著,其他样点均表现出随深度增加营养盐显著降低的趋势。除出水口D1样点外,淀山湖有机质与TN表现出显著的同源相关性,表明有机质是淀山湖内源负荷的主要来源。     

水中总氮测定相关问题的实验探讨

通过对国家标准测定方法《碱性过硫酸钾消解紫外分光光度法》进行水样中总氮的测定,进一步理解在220nm、275nm波长处进行吸光度测定的重要性。并提出：在已经知道水样中没有氨氮、亚硝酸盐氮,只有硝酸盐氮的情况下．就能通过快速的方法一即不加氧化剂、不加压,可以进行总无机氮的测定。快速测定无机总氮对于工程应用来说很有意义。因为国标的方法需要半天时间测定。而用此方法则仅需几分钟就可完成测定。、另外对于有机物对于测定结果的影响,参考吸光度比值（A275／A220×100％）应小于20％,越小越好,超过时应予鉴别。     

浅谈中国排污许可证制度

排污许可证制度作为我国环境管理八项基本制度的核心,虽然已有十余年的推行实践经验,但还存在污染物排放总量控制基础不牢固,缺乏相应的实施细则和行政、刑事处罚办法支撑等缺憾。加强环境保护行政管理部门的人员和技术力量,完善相应的行政、刑事处罚办法和细则,突出排污许可证制度的核心地位并增强实践经验交流等,是我国全面推行排污许可证制度并提高管理效率的重要措施和途径。     

型煤产业发展与提高

本文论述发展工业型煤产业的重要意义和技术质量保证,洁净煤技术是控制污染和节约能源,提高煤炭资源利用率的重要技术项目,将粉煤生产成型煤,为工业、民用提供洁净的燃料,既充分利用煤炭资源同时改善能源结构,又有显著的环保效益,国家把煤炭产业列入中国洁净煤技术有限发展项目,目前制约型煤产业的发展要造气型和燃烧型煤并举,同时有利于用户的节能效益。     

实施污染物总量控制中的环境监测

随着经济的发展,由发展带来的污染问题也愈发的严重,如何治理和监测环境问题显得十分重要。文章旨在研究环境监测在对污染物总量控制上的作用做出分析,指出目前环境监测上存在的不足,提出建议和解决方案,更好的发挥环境监测的作用。     

葫芦岛市工业源二氧化硫普查结果分析与对策

通过对葫芦岛市工业源二氧化硫普查结果全面系统分析,阐明了各区域、行业、企业的二氧化硫产生、排放及分布特点,指出了葫芦岛地区工业源二氧化硫存在的主要问题,提出了具体的对策措施。     

皇甫川流域不同水土治理方式下土壤钾含量的变化

本文采用NaOH熔融法,原子吸收分光光度法和NH4OAc浸提,原子吸收分光光度法,分别测定了皇甫川流域五分地沟试验区不同植被治理措施下土壤的全K和速效K含量,对测定结果的分析表明：①不同治理措施下,土壤中全K含量的大小次序是：人工草地〉农田〉人工灌木〉退化草地〉次生草地〉人工林地〉百里香草原,土壤中速效K含量的大小次序是：人工林地〉百里香草原〉人工灌木〉退化草地〉农田〉次生草地〉人工草地。②不同治理方式对土壤钾含量提高的差异明显,灌草类植被对土壤钾的提高效果较好,杨树林对土壤钾的恢复效果稍差。     

Beyond hypoxia：Occurrence and characteristics of black blooms due to the decomposition of the submerged plant Potamogeton crispus in a shallow lake

Organic matter-induced black blooms(hypoxia and an offensive odor) are a serious ecosystem disasters that have occurred in some large eutrophic shallow lakes in China. In this study, we investigated two separate black blooms that were induced by Potamogeton crispus in Lake Taihu, China. The main physical and chemical characteristics, including color- and odor-related substances, of the black blooms were analyzed. The black blooms were characterized by low dissolved oxygen concentration(close to 0 mg/L), low oxidation-reduction potential, and relatively low pH of overlying water. Notably higher Fe2+and∑S2-were found in the black-bloom waters than in waters not affected by black blooms. The black color of the water may be attributable to the high concentration of these elements, as black FeS was considered to be the main substance causing the black color of blooms in freshwater lakes. Volatile organic sulfur compounds, including dimethyl sulfide, dimethyl disulfide, and dimethyl trisulfide, were very abundant in the black-bloom waters. The massive anoxic degradation of dead Potamogeton crispus plants released dimethyl sulfide, dimethyl disulfide, and dimethyl trisulfide, which were the main odor-causing compounds in the black blooms. The black blooms also induced an increase in ammonium nitrogen and soluble reactive phosphorus levels in the overlying waters. This extreme phenomenon not only heavily influenced the original lake ecosystem but also greatly changed the cycling of Fe, S, and nutrients in the water column.     

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.