《中国环境科学》获评“RCCSE中国权威学术期刊(A+)”

正《中国环境科学》在武汉大学中国科学评价研究中心发布的第三届中国学术期刊评价中被评为"RCCSE中国权威学术期刊(A+)".中国学术期刊评价按照各期刊的各指标综合得分排名,将排序期刊分为A+、A、A-、B+、B、C 6个等级,评价的6448种中文学术期刊中有1939种学术期刊进入核心期刊区,其中权威期刊(A+)327种,核心期刊     

《环境工程》投稿指南

<正>一、征稿内容1.工业、厂矿和民用领域产生的废气、废水、固体废弃物等的防治和综合利用新技术。2.污染防治创新性改进的工艺、设备、方法、材料以及运行管理经验。3.各行业节能减排和清洁生产技术。4.受污染场地的修复技术。5.环境质量、污染物监测技术和环境评价领域的创新技术和经验。二、稿件具体要求     

危险废物填埋场营运前初期地下水质评价

对某刚投入运营的危险废物填埋场的地下水和渗滤液进行采样分析,选取14个污染指标作为评价因子,以《地下水质量标准》中推荐的方法和改进综合评价法对水质进行评价,并分析了水质成因。结果表明,研究区地下水氨氮超标,主要受临近鱼塘和养猪场的排泄物影响。渗滤液挥发酚超标,与初期填埋废物成分相关。地下水样中氨氮浓度高于渗滤液,说明填埋场投入前初期附近地下水补充源氨氮指标贡献值高于渗滤液入渗。14项评价因子监测数据表明,渗滤液对填埋场地下水收集系统水质量的影响不明显,总体水质较好。由于改进综合评价法同时考虑了污染最大值和最大与次大权重单项因子,其得出的地下水质评价结果能更客观地反映评价区地下水的实际质量状况。     

高空气象和地形数据对ADMS模型预测结果的影响

以某钢铁厂烧结单元SO2评价因子为例,对比分析ADMS模型在高空气象、地形数据等不同取值条件下的预测结果。结果表明:高空气象数据和地形数据对区域网格点最大预测值均有一定影响,复杂地形对预测结果的影响很大,且影响大于高空气象的影响;高空气象数据和地形数据对敏感点预测结果均有一定影响,但变化规律不明显,敏感点预测值有增加和降低两种趋势。     

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.     

Arsenic removal from groundwater by acclimated sludge under autohydrogenotrophic conditions

Arsenic in the environment is attracting increasing attention due to its chronic health effects. Although arsenite(As(III)) is generally more mobile and more toxic than arsenate(As(V)), reducing As(V) to As(III) may still be a means for decontamination, because As(III) can be removed from solution by precipitation with sulfide or by adsorption or complexation with other metal sulfides. The performance of As(V) bio-reduction under autohydrogenotrophic conditions was investigated with batch experiments. The results showed that As(V) reduction was a biochemical process while both acclimated sludge and hydrogen were essential. Most of the reduced arsenic remained in a soluble form, although 20% was removed with no addition of sulfate, while 82% was removed when sulfate was reduced to sulfide. The results demonstrated that the reduced arsenic was re-sequestered in the precipitates, probably as arsenic sulfides. Kinetic analysis showed that pseudo first-order kinetics described the bio-reduction process better than pseudo second-order. In particular, the influences of pH and temperature on As(V) reduction by acclimated sludge under autohydrogenotrophic conditions and total soluble As removal were examined. The reduction process was highly sensitive to both pH and temperature, with the optimum ranges of pH 6.5–7.0 and 30–40°C respectively. Furthermore, Arrhenius modeling results for the temperature effect indicated that the As(V) reduction trend was systematic. Total soluble As removal was consistent with the trend of As(V) reduction.     

探讨适用于河流沉积物重金属污染程度的评价方法

本文使用地累积指数法和潜在生态危害指数法两种方法对同一区域五条河流的沉积物中重金属的测定结果进行了评价和比较,提出了将河流沉积物中重金属的监测纳入我国地表水常规监测的意见和建议.     

京津冀及周边地区低碳经济发展水平评价

随着应对全球气候变化进程的不断推进,“低碳经济”已逐渐成为世界各国实现经济社会可持续发展的必由之路.京津冀及周边地区社会经济发展较不平衡,整体推进低碳经济发展存在较大的困难,为有效促进低碳经济发展的策略选择,本文通过构建低碳经济发展水平评价指标体系,对京津冀及周边地区的低碳经济发展状况进行评价.结果显示,京津冀及周边地区低碳经济发展水平差异较大：北京低碳经济水平相对较高,其他地区距离低碳经济发展水平尚有较大差距.由此,京津冀及周边地区应根据地区经济发展特点及其低碳经济发展状况,采取不同的低碳发展策略选择,以有效推进低碳经济发展模式的顺利转型.     

灰色关联分析的季节性污水处理能耗评价研究

辽宁某污水处理厂采用A/O工艺处理生活污水,工艺运行中能源消耗较大,节能降耗是企业降低污水处理成本的重要环节。通过对该厂监测数据研究发现污水处理能源消耗与季节性因素关系密切。为制定合理的节能工艺运行策略,需要对该厂污水处理能耗状况进行季节性评价研究。文中在综合考虑污水处理能耗与环境因素、工艺运行参数和污水处理效果关系的基础上,选取与污水处理过程密切相关的16个季节性指标,利用各指标四季监测数据波动范围将其划分为3个等级标准,并运用灰色关联分析方法进行四季综合能耗等级评价分析。分析结果表明,目前污水处理厂的工艺运行设置状态更适合于夏季运行,春季和秋季运行状况较为合理,而冬季运行能源浪费较大,应调整运行参数设置,在尾水达标的前提下实现降低能耗的目标。     

印染前处理节能减排评价模型的建立及应用

针对目前印染前处理工艺,依据评价指标的原则,采用层次分析法从资源指标、环境指标、生产指标及经济指标4个方面建立了印染前处理工艺节能减排综合评价指标体系;提出了基于AHP-Fuzzy方法上的前处理工艺节能减排效果综合评价模型。最后,将该模型应用到印染前处理新工艺中,根据对新工艺相关节能减排指标的监测、核算以及调查,依照隶属函数值计算方法,得到其模糊评价矩阵及其向量,其结果表明,新工艺的节能减排综合评价等级为"优",节能减排效果很好。