超声波萃取-高效液相色谱法测定总悬浮颗粒物中的多环芳烃

研究了一种用中流量采样器采样,超声波萃取,硅镁型吸附剂柱层析预分离.高效液谱测定总悬浮颗粒物的实验方法,在16分内可分高萘、蒽、芘、苯并(a)芘、苯并(ghi)苝等15种多环芳烃.已在大气环境的实际监测中得到应用.     

铁路运输业污水治理系统分析

研究了乌鲁木剂铁路局系统污水治理污染控制方法及途径，提出了主要污染物为石油类，其最佳治理对策是：确定重点污染单位、污染源、用最低的治理投入，选择斜板隔油气浮工艺治理重点污染和次重点污染部门，得到较好的治理效果，否定盲目追求“零排放”的高投入方案。     

水生金针菜对食品废水的净化

本文介绍了金针菜在水面上无土栽培技术和对食品废水的净化功能.试验结果证明,金针菜是净化食品废水的一种优良植物,其经济效益也很显著.     

浙江省萧山市山一村农村生态良性循环与系统管理研究 Ⅴ.农田病虫害综合防治试验与实施

本项调控工程分两步:1984—1986年在山一村106ha农田开展病虫害综合防治试验示范;1987—1989年将试验成果应用于生产。试验研究取得了明显的经济效益、生态效益和社会效益:农药用量比1983年前减少80.6％,稻谷中农药残留不超标(原有机氯农药666残留超标率31.6％);害虫天敌稻田蜘蛛增加83.3—180.0％,稻虱多索线虫增加2倍;防治农药成本减少53.7％。并制定了《山一村农田农药污染防治技术规程》,其主要内容有:开展病虫害“二查二定”,达到防治指标时用药;制定病虫害防治策略,在防治适期内用药;推广高效低残留农药,遵守农药安全间隔期;推广抗性良种,适施N肥,增施P、K肥;保护利用天敌,发挥天敌自然抑制作用。     

用黑麦幼苗法测定土壤中污染元素的生物有效性

本文对全国污灌区１２个土样中Ｃｄ形态与生物有效性的试验表明，Ｃｄ的交换态，吸附态，有机结合态均有效，且有机结合态最为有效，对紫阳县富硒土壤的试验表明：黑麦幼苗中的总Ｓｅ量与０．１ｍｏｌ／１ＫＨ２ＰＯ４的浸提量最为相关，从而推荐该法为酸性土壤有效Ｓｅ的浸提方法，对西安污水厂污水污泥在娄土上不同施用量的试验表明：幼苗中Ｎ，Ｐ随施用量增加而增加，Ｎ，Ｐ的有效率分别为５０－７０％及１５－２８％；黑麦幼苗中     

河南省大气污染的气候分类

分析确定了影响大气污染的主要气候因子。根据省内各气象站的常规测资料，采用模糊聚类和纳污指数的方法将该省分成５个气候类型区。结果表明，纳污能力以中部地区为最强，占全省面积３／５的南、东、北邻近省界地区较强，豫西山区最弱。     

Evaluation of activated sludge properties’ changes in industrial-wastewater pre-treatment: role of residual aluminum hydrolyzed species with different polymerization degree

● Medium poly Al salts dominated the PAC residual salts with a rational dosage. ● Settlement flocculation effect under medium poly Al salts showed a better trend. ● Complex of medium poly Al salts and enzymes promoted cell activity. ● Medium poly Al salts were beneficial to the effluent indexes. With the widespread introduction of pre-coagulation prior to the biological unit in various industrial wastewater treatments, it is noteworthy that long-term accumulation of residual coagulants has certains effect on both micro and macro characteristics of activated sludge (AS). In this study, the morphology distributions of residual aluminum salts (RAS) and their effects on the removal efficiency of AS were investigated under different PAC concentrations. The results showed that the dominance of medium polymeric RAS, formed under an appropriate PAC dose of 20 mg/L enhanced the hydrophobicity, flocculation, and sedimentation performances of AS, as well as the enzymatic activity in cells in the sludge system, improving the main pollutants removal efficiency of the treatment system. Comparatively the species composition with monomer and dimer / high polymer RAS as the overwhelming parts under an over-dosed PAC concentration of 55 mg/L resulted in excessive secretion of EPS with loose flocs structure and conspicuous inhibition of cellular activity, leading to the deterioration of physico-chemical and biological properties of AS. Based on these findings, this study can shed light on the role of the RAS hydrolyzed species distributions, closely relevant to Al dosage, in affecting the comprehensive properties of AS and provide a theoretical reference for coagulants dosage precise control in the pretreatment of industrial wastewater.     

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

● A novel framework integrating quantile regression with machine learning is proposed. ● It aims to identify factors driving observations to upper boundary of relationship. ● Increasing N:P and TN concentration help fulfill the effect of TP on CHL. ● Wetter and warmer decrease potential and increase eutrophication control difficulty. ● The framework advances applications of quantile regression and machine learning. The identification of factors that may be forcing ecological observations to approach the upper boundary provides insight into potential mechanisms affecting driver-response relationships, and can help inform ecosystem management, but has rarely been explored. In this study, we propose a novel framework integrating quantile regression with interpretable machine learning. In the first stage of the framework, we estimate the upper boundary of a driver-response relationship using quantile regression. Next, we calculate “potentials” of the response variable depending on the driver, which are defined as vertical distances from the estimated upper boundary of the relationship to observations in the driver-response variable scatter plot. Finally, we identify key factors impacting the potential using a machine learning model. We illustrate the necessary steps to implement the framework using the total phosphorus (TP)-Chlorophyll a (CHL) relationship in lakes across the continental US. We found that the nitrogen to phosphorus ratio (N׃P), annual average precipitation, total nitrogen (TN), and summer average air temperature were key factors impacting the potential of CHL depending on TP. We further revealed important implications of our findings for lake eutrophication management. The important role of N׃P and TN on the potential highlights the co-limitation of phosphorus and nitrogen and indicates the need for dual nutrient criteria. Future wetter and/or warmer climate scenarios can decrease the potential which may reduce the efficacy of lake eutrophication management. The novel framework advances the application of quantile regression to identify factors driving observations to approach the upper boundary of driver-response relationships.     

Screening of indicator pharmaceuticals and personal care products in landfill leachates: a case study in Shanghai,China

● A systematic framework was developed to identify i-PPCPs for landfill leachate. ● The wide-scope target analysis offered a basis for comprehensive i-PPCP screening. ● Source-specificity and representativeness analysis helped to refine i-PPCPs. ● Erythromycin, gemfibrozil and albendazole were identified as i-PPCPs for leachate. Identifying potential sources of pharmaceuticals and personal care products (PPCPs) in the environment is critical for the effective control of PPCP contamination. Landfill leachate is an important source of PPCPs in water; however, it has barely been involved in source apportionment due to the lack of indicator-PPCPs (i-PPCPs) in landfill leachates. This study provides the first systematic framework for identifying i-PPCPs for landfill leachates based on the wide-scope target monitoring of PPCPs. The number of target PPCPs increased from < 20 in previous studies to 68 in the present study. Fifty-nine PPCPs were detected, with median concentrations in leachate samples ranging from below the method quantification limit (MQL) to 41 μg/L, and 19 of them were rarely reported previously. A total of 29 target compounds were determined to be PPCPs of high concern by principal component analysis according to multiple criteria, including occurrence, exposure potential, and ecological effect. Coupled with source-specificity and representativeness analysis, erythromycin, gemfibrozil, and albendazole showed a significant difference in their occurrence in leachate compared to other potential sources (untreated and treated municipal wastewater and livestock wastewater) and correlated with total PPCP concentrations; these were recommended as i-PPCPs for leachates. Indicator screening procedure can be used to develop a sophisticated source apportionment method to identify sources of PPCPs from adjacent landfills.     

Improvement of sludge dewaterability with modified cinder via affecting EPS

The relationship between the improvement of sludge dewaterability and variation of organic matters has been studied in the process of sludge pre-conditioning with modified cinder, especially for extracellular polymeric substances (EPS) in the sludge. During the conditioning process, the decreases of total organic carbon (TOC) and soluble chemical oxygen demand (SCOD) were obviously in the supernatant especially for the acid modified cinder (ACMC), which could be attributed to the processes of adsorption and sweeping. The reduction of polysaccharide and protein in supernatant indicated that ACMC might adsorb EPS so that the tightly bound EPS (TB-EPS) decreased in sludge. In the case of ACMC addition with 24 g·L^–1, SRF of the sludge decreased from 7.85 × 10¹² m·kg^–1 to 2.06 × 10¹² m·kg^–1, and the filter cake moisture decreased from 85% to 60%. The reconstruction of “floc mass” was confirmed as the main sludge conditioning mechanism. ACMC promoted the dewatering performance through the charge neutralization and adsorption bridging with the negative EPS, and provided firm and dense structure for sludge floc as skeleton builder. The passages for water quick transmitting were built to avoid collapsing during the high-pressure process.

Open image in new window