6种陕北适生豆科植物生长对原油污染土壤的响应

为筛选优良的石油污染土壤修复植物,选取陕北适生的6种豆科乡土植物,对不同浓度原油污染土壤中植物的生长差异进行研究.采用混油法盆栽试验,分设0、5 000、10 000、20 000、40 000 mg·kg-1共5个不同的原油污染浓度,分析其对土壤理化性质的改变,对植物出芽时间、出芽率、株高、植物干重、叶绿素含量和枯萎率的影响.结果表明,原油污染显著改变土壤理化性质.5 000 mg·kg-1低浓度原油污染,对受试植物的发芽率和植物株高有促进作用,后随原油浓度加大植物生长受到明显抑制.原油污染浓度低时草本植物耐受力较强,其中紫花苜蓿(Medicago sativa)在出芽时间、出芽率、株高及枯萎率等方面综合表现较优.从40 000 mg·kg-1浓度时枯萎率及叶绿素含量分析,刺槐(Robinia pseudoacacia)表现较高的耐受力.相关分析表明,原油污染浓度与植物出芽时间、出芽率、株高、干重均呈显著负相关,但与叶绿素含量呈极显著正相关.     

地下水中污染物的迁移传输及排泄通量研究

以辽宁某化工污染场地为研究对象,结合场地调查结果,应用地下水模型系统软件(GMS)中的MODFLOW和RT3D模型,建立了地下水中污染物的数值模型,探讨其迁移传输及排泄通量。根据模拟结果,地下水中苯、二氯苯和三氯苯的污染羽约在20年后达到动态平衡,污染羽不再随时间变化,污染物的自然衰减速率与污染源释放速率达到平衡。排泄通量估算表明:地下水向河流排泄的量在20年时达到稳定,地下水中苯、二氯苯和三氯苯向河流的排泄通量分别为每天180 g、6 100 g和5.5 g。由于污染物会导致污染生态环境和健康风险,建议从控制污染源、实施污染源区修复和切断迁移传输途径等多种措施控制风险。     

北京市污水资源化利用现状及其对策分析研究

北京是水资源严重匮乏的城市,水资源短缺已经成为制约北京经济社会可持续发展进程的重要因素.污水资源化将城市污水进行加工处理,转化为达标的、可供人们二次利用的合格水资源,既能增加水源,又能减少水环境污染,是解决北京目前水资源紧缺问题的最为有效的途径.文章梳理了近年来北京市污水资源化利用的发展现状,指出了北京市污水资源化利用所面临的困境,并提出了加快北京市污水资源化利用的对策.     

区域水资源高效利用评价指标体系构建及其应用

在对拜泉县水资源及利用现状调研的基础上,通过建立指标模型,找出存在的问题及原因,提出了提高水资源利用效率,实现可持续发展的对策建议。     

生物可降解螯合剂谷氨酸 N,N -二乙酸四钠对污泥中重金属萃取效率的研究

谷氨酸N,N-二乙酸四钠(GLDA)具有较强金属螯合能力,是新一代生物可降解绿色螯合剂.通过分批提取实验对GLDA去除工业污泥中Cd、Ni、Cu、Zn的萃取过程进行研究,考察了萃取时间、萃取体系p H值、螯合剂用量等因素对重金属萃取效果的影响,并采用修正的BCR连续提取法分析萃取前后污泥中重金属的形态.结果表明,GLDA对污泥中Cd具有良好的去除效果;体系在p H=4,螯合剂与重金属总量摩尔比为3∶1的条件下,多种重金属取得最佳萃取效果;Zn主要以残渣态存在,导致该金属萃取率低;螯合能力不仅与萃取时间,萃取体系p H值,螯合剂用量,螯合常数等因素有关,而且还与金属的形态分布有关.     

甾醇对南山老龙洞地下河粪便污染的指示

分别于2014年10月,2015年1、3、5月采集重庆南山老龙洞地下河出口的水样,过滤取水悬浮物质,采用气相色谱-质谱联用仪(GC-MS)定量分析悬浮物中甾类物质的成分与质量浓度;利用多指标综合分析对南山老龙洞地下河粪便污染进行判断并追溯粪便污染物的主要来源.结果表明,样品中共测出10种甾类物质,其中包括9种醇类和1种酮类.总甾类物质的质量浓度为1 573~5 007 ng·L-1,且3、5月均大于10、1月.虽然各月间地下河的组成存在差异,但以胆固醇、β-谷甾醇和粪醇为主要成分,三者的质量浓度之和占总甾类的50.8%~80.4%.另外,(差向异构粪醇+粪醇)/(粪醇+差向异构粪醇+二氢胆固醇)的值均大于0.7,指示各月均受到粪便污染;10月差向异构粪醇/粪醇的值小于0.2,指示污水主要来自上游污水处理厂;1、3、5月的粪醇/ΣSteroids、粪醇/24-乙基粪醇的值分别为0.109~0.254、6.3~10.3,指示地下河主要受到人类粪便的影响;3月的24-乙基粪醇/24-乙基胆甾烷醇为0.86,小于1月的5.4和5月的2.3,说明该月地下河受家禽类动物粪便的影响较1月和5月严重.     

生活垃圾分类背景下对广州市废玻璃回收利用的思考

废玻璃是一种载能节能、低碳环保、可重复利用和再生利用的再生资源,广州市通过补贴政策、两网融合等手段,促进废玻璃回收利用,随着生活垃圾分类纵深推进,为了进一步提高废玻璃回收利用,从废玻璃回收利用现状入手,对比了北京、上海生活垃圾中废弃玻璃的占比情况,针对目前存在问题,提出废玻璃回收利用分析与建议.     

Removal of heavy metals from a contaminated soil using tartaric acid

This study reports the feasibility of remediation of a heavy metal （HM） contaminated soil using tartaric acid, an environmentally-friendly extractant. Batch experiments were performed to test the factors influencing remediation of the HM contaminated soil. An empirical model was employed to describe the kinetics of riM dissolution/desorption and to predict equilibrium concentrations of HMs in soil leachate. The changes of HMs in different fractions before and after tartaric acid treatment were also investigated. Tartaric acid solution containing HMs was regenerated by chestnut shells. Results show that utilization of tartaric acid was effective for removal of riMs from the contaminated soil, attaining 50%-60% of Cd, 40%-50% of Pb, 40%-50% of Cu and 20%-30% of Zn in the pH range of 3.5-4.0 within 24 h. Mass transfer coefficients for cadmium （Cd） and lead （Pb） were much higher than those for copper （Cu） and zinc （Zn）. Sequential fractionations of treated and untreated soil samples showed that tartaric acid was effective in removing the exchangeable, carbonate fractions of Cd, Zn and Cu from the contaminated soil. The contents of Pb and Cu in Fe-Mn oxide fraciton were also significantly decreased by tartaric acid treatment. One hundred milliliters of tartaric acid solution containing HMs could be regenerated by 10 g chestnut shells in a batch reactor. Such a remediation procedure indicated that tartaric acid is a promising agent for remediation of HM contaminated soils. However, further research is needed before the method can be practically used for in situ remediation of contaminated sites.     

Estimating Potential Climate Change Effects on the Upper Neuse Watershed Water Balance Using the SWAT Model

Climate change poses water resource challenges for many already water stressed watersheds throughout the world. One such watershed is the Upper Neuse Watershed in North Carolina, which serves as a water source for the large and growing Research Triangle Park region. The aim of this study was to quantify possible changes in the watershed’s water balance due to climate change. To do this, we used the Soil and Water Assessment Tool (SWAT) model forced with different climate scenarios for baseline, mid‐century, and end‐century time periods using five different downscaled General Circulation Models. Before running these scenarios, the SWAT model was calibrated and validated using daily streamflow records within the watershed. The study results suggest that, even under a mitigation scenario, precipitation will increase by 7.7% from the baseline to mid‐century time period and by 9.8% between the baseline and end‐century time period. Over the same periods, evapotranspiration (ET) would decrease by 5.5 and 7.6%, water yield would increase by 25.1% and 33.2%, and soil water would increase by 1.4% and 1.9%. Perhaps most importantly, the model results show, under a high emission scenario, large seasonal differences with ET estimated to decrease by up to 42% and water yield to increase by up to 157% in late summer and fall. Planning for the wetter predicted future and corresponding seasonal changes will be critical for mitigating the impacts of climate change on water resources.     

Hierarchical pre-positioning of emergency resources for a chemical industrial parks concentrated area

Accidents in chemical industrial parks always cause fateful damage which can be reduced greatly by providing emergency resources sufficiently and timely. One effective way to enhance the emergency response capacity and agility is by pre-positioning of emergency resources for the potential accidents. The Yangtze River Delta of China is a large region where a large number of chemical industrial parks are concentrated. According to the distributing characteristics of demand points in this region, a mathematical model of hierarchical pre-positioning of emergency resources is proposed to ensure that accidents in all chemical industrial parks in this region can be responded timely and effectively. Considering accident domino effect and minimizing the total cost, the model gives optimal decisions of pre-positioning emergency resources, including the location and inventory of depots. The innovative hierarchical pre-positioning method greatly reduces the total cost in the premise of sufficient preparation for supplying emergency resources. Finally, in a visual graph of the Yangtze River Delta, the model is applied and the result shows its applicability.