Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

丹江口水库表层沉积物不同形态氮的赋存特征及其生物有效性

为了揭示丹江口水库沉积物氮空间分布特征及其生物有效性,采用连续分级提取法研究了表层沉积物中可交换态氮(Exchangeable nitrogen,EN)、酸解态氮(Acid hydrolysable nitrogen,HN)及残渣态氮(Residue nitrogen,RN)的赋存特征,同时结合生物可利用态氮的含量,探讨了各形态氮对生物可利用态氮的贡献。结果表明,丹江口水库沉积物中总氮(Total nitrogen,TN)在425~5796 mg/kg之间,平均为1 319.32 mg/kg,其中EN、HN和RN的平均值相对比例为2.15∶1.95∶1,且各形态氮含量的空间分布呈入库河流大于库区开阔区域的特征,尤其在丹江、老灌河以及犟河-堵河入库口的含量较大。潜在矿化氮(Potential mineralized nitrogen,PMN)含量在40.20~1 468.95 mg/kg之间,平均为275.06 mg/kg,其中EN对丹江口水库沉积物PMN的贡献较大,比例在19.85%~90.80%之间,平均为63.47%。各形态氮在不同的水环境条件下发生迁移转化,保持着水-沉积物界面氮的动态平衡。     

Effects of organic matter on Leymus chinensis germination,growth, and urease activity and available nitrogen in coastal saline soil

ABSTRACT

The present study was carried out to investigate the effect of three organic matters (stalk powder, microbial fertilizer, and manure) on Leymus chinensis germination, growth, and urease activity and available nitrogen (N) in coastal saline soil. The study was conducted in a completely randomized design with eight treatments: J₀V₀Y₀, J₁V₀Y₀, J₀V₁Y₀, J₀V₀Y₁, J₁V₁Y₀, J₁V₀Y₁, J₀V₁Y₁, J₁V₁Y₁. The notations were based on the quantities of each agent added to 1 kg of coastal saline soil: J₀ – no straw powder, J₁ – 0.2 kg straw powder, Y₀ – no manure, Y₁ – 0.3 kg manure, V₀ – no microbial fertilizer, V₁ – 0.2 L microbial fertilizer, each in quantic repeat. L. chinensis was sown as 50 seeds per pot. Results indicated that addition of organic agents exerted a significantly enhanced germination, increase in fresh weight and elevated soil urease activity. Soil available N levels were significantly positively correlated with soil urease activity and fresh weight, but not with germination rate. It is noteworthy that the halophyte L. chinensis showed improved characteristics when grown in coastal saline soil with addition of organic amendments.     

水杨酸法检测水质氨氮的改进方法

该氨氮检测方法是对水杨酸分光光度法的改进,通过将50 g/L的水杨酸改为150 g/L的水杨酸钠,将有效氯为3. 5 g/L的次氯酸钠溶液改为5 g/L的二氯异氰尿酸钠溶液,增加了检测试剂的稳定性和贮存时间,同时将氨氮测定上限从1 mg/L提高至2. 5 mg/L,并将显色时间从60 min优化为30 min,使得此方法更为便捷。该方法的氨氮标准曲线线性关系良好,相关系数为0. 999 6,准确性和精密度高,加标回收率良好,适用于不同类型水质中氨氮的检测。     

氨气敏电极法和纳氏试剂分光光度法对地表水中氨氮的比对测试

采用不同质量浓度的氨氮标准样品和实际样品,用氨气敏电极法和纳氏试剂分光光度法进行同步测试。结果表明,2种分析方法在水样氨氮质量浓度在0. 159～2. 81 mg/L范围内具有良好的可比性、精密性和准确性。氨气敏电极法的检出限为0. 03 mg/L,平行6次测定样品的相对标准偏差为0. 4%～4. 2%,加标回收率为85. 0%～110%;纳氏试剂分光光度法的检出限为0. 025 mg/L,平行6次测定样品的相对标准偏差为0. 5%～6. 4%,加标回收率为93. 0%～99. 8%。同时氨气敏电极法在样品预处理、试剂配制和分析时间上要优于纳氏试剂分光光度法。氨气敏电极法能够满足地表水自动监测在线比对实际工作的需求,该方法具有良好的适用性。     

水杨酸钠-次氯酸钠法海水氨氮快速检测方法研究

对水杨酸钠-次氯酸钠法测量海水氨氮化学分析条件进行了研究。通过正交实验对水杨酸钠-次氯酸钠法试剂配比进行优化,并确定了最佳试剂配比。同时,用水杨酸钠-次氯酸钠法和靛酚蓝法测量24个海水水样,测量结果无显著差异。在反应温度为35℃,反应时间为10 min时,用改进后的方法分别测量60、120μg/L的氨氮标准溶液,相对标准偏差分别为4.0%、2.8%,回收率分别为99.8%、100.8%。该方法试剂无毒、环保,操作简单、快速,可满足营养盐自动分析仪现场快速测量的要求,提高仪器的环境友好性。     

Isotopic composition (C & N) of the suspended particles and N uptake by phytoplankton in a shallow tropical coastal lagoon

The spatial distribution of the C/N ratios and variations in δ¹³C and δ¹⁵N of suspended particulate matter were used to characterise their source in Asia’s largest brackish water lagoon, Chilika, India. In addition, the significance of re-mineralised nutrients in the primary productivity of the shallow lagoon was also determined through quantification of the subsurface nitrogen uptake conditions at two relatively stable locations in the lagoon. The results indicated that the influence of terrestrial organic matter was the maximum in the northern sector and was relatively limited at the central and southern part of the lagoon. In situ ¹⁵N uptake experiments (daytime) under biogeochemically stable conditions revealed that the N uptake by phytoplankton ranged between 0.24 and 1.01?mM?m^?3?h^?1 during pre-monsoon and post-monsoon seasons. New production and regenerated production in the shallow lagoon was also estimated by calculating f-ratios (ratio of nitrate assimilation by phytoplankton to total nitrogenous nutrient assimilation, have been estimated), which varied from 0.52 in the post-monsoon to 0.38 in the pre-monsoon. Lowering of the f-ratio from post- to pre-monsoon indicated a dominance of mineralisation over the new production.     

5种植物材料的水解释碳性能及反硝化效率

碳源在硝酸盐去除过程中起电子供体的作用,是生物反硝化反应的关键物质之一。为解决污水处理脱氮时碳源不足抑制反硝化反应造成脱氮效率低的问题,本研究选取风车草、甘蔗渣、芦竹、美人蕉和稻草秆5种植物材料作为反硝化碳源,探讨不同植物材料的水解释碳能力和释放规律;并进一步以其水解液作为外加碳源,探讨其对反硝化脱氮效率的影响。研究结果表明,植物材料水解释碳过程符合二级动力学反应规律,不同植物材料的释碳能力具有显著性差异,以甘蔗渣在固液比1∶80时COD释放当量最大,为45.45 mg/L;添加植物水解液可显著提高反硝化脱氮效率,以芦竹水解液脱氮效果最好,达到71.9%。此外,碳氮比是影响脱氮效率的重要因素之一,以碳氮比为9时反硝化脱氮效果最佳。     

阿什河水系枯水期氮污染特征与同位素源解析

在阿什河水系设置20个采样点,采用水质监测技术和稳定氮同位素示踪技术,研究了枯水期阿什河氮污染特征和硝酸盐氮污染来源。结果表明:(1)阿什河枯水期大部分采样点氨氮浓度较低,大部分区域达到或优于《地表水环境质量标准》(GB3838—2002)中Ⅲ类。上游河段硝酸盐氮浓度较低,中游河段较高,到下游河段略有降低。总氮浓度较高,最高达19.4mg/L。(2)阿什河水系采样点15 N的丰度(δ15 N)主要处于0.11%~0.21%、0.42%~0.78%、0.83%~0.88%和1.09%~1.26%。稳定15 N同位素示踪解析阿什河硝酸盐氮污染来源表明,阿什河上游污染源主要为大气沉降、土壤有机氮和人工化肥;中游主要受畜禽养殖污水和生活污水污染;下游主要受城镇生活污水和工业废水影响。     

一种包埋微生物复合填料的制备及性能评价

采用包埋法制备出一种复合生物填料，测其各项理化性质，并以NO。模拟废气验证其脱硝性能。填料主要由碳酸钙、牛粪堆肥腐殖质、菌剂载体、水泥、轻质珍珠岩、立体网状纤维及脱硝功能微生物等复合而成，粒径书12mm×20mm，自然堆积密度（471±0．8）kg／m2，持水量（49±1．3）％，比表面积3．91m2／g，平均机械强度（427．3±0．2）N，pH为10．5-0．2。填料能长期在潮湿环境中保持良好的粘结强度，并具有营养缓释及pH缓冲能力。包埋脱硝功能微生物复合填料中初期微生物数量5．3×10^5 CFU／g，运行60d后微生物数量达到8．6×10 8 CFU／g，闲置停运30d微生物有所减少，但重启后净化效率基本不变。当进气负荷低于I878mg／（13m3·h），气体停留时间为14．47s时，BF，的去除率高达93．15％。