厌氧-好氧生物反应器填埋工艺特性研究

基于生物反应器填埋技术,研究1种填埋场地循环操作的厌氧-好氧生物反应器填埋工艺,设计了该工艺模拟装置并研究了其运行工艺特性.厌氧阶段主要通过渗滤液回灌控制反应器工艺条件,主要试验结果为,pH值,R1在 6周后可上升至6.7～7.8,R2在17周内一直低于6.8;渗滤液COD浓度,R1在13周时下降至10?617 mg/L,R2在5周后上升至60?000 mg/L后长期趋于稳定;填埋气累计产量,R1在8周达到44%,R2几乎不产气.衡量稳定化可以分别采用渗滤液pH、COD浓度及BOD₅/COD的减少率、填埋气的累计产率等指标来判断,并据此转换为好氧填埋运行.好氧阶段主要是通过强制通风来减少恶臭和水分,主要试验结果为,通风19d氨气浓度降为1.16 mg/m³,通风23d后恶臭浓度降为19;通风14d后含水率降为26%.完成此阶段的工艺指标值可依据矿化垃圾开采的最终用途确定.对主要试验数据进行了数值模拟.厌氧-好氧填埋过程的微生物演替经RISA分析,有4个优势菌群,一些兼性菌群在厌氧-好氧阶段起着重要的承前启后作用.     

非点源污染河流的水环境容量估算和分配

通过河流相应集水区内氮磷的各污染源分析(包括农地、畜禽养殖和生活排污等),利用输出系数模型估算各非点源的氮磷投(排)放量和入河量;采用河段氮磷输入-输出平衡关系分析方法,估算河流对氮磷的每月自净量.以此为基础,参照水功能区划所要求的水质目标,提出了水质未超标河段相应集水区的氮磷剩余水环境容量按月估算模型,和水质超标河段相应集水区内氮磷投放削减量的按月估算模型,及其在各污染源之间的分配方案.结果表明,长乐江的总氮和总磷自净量分别达到775.9 t·a^-1和30.9 t·a^-1,自净率分别为28.8%和51.2%.河流对氮磷的自净量不仅受水文生态条件的影响而表现出较大的季节性变化,而且随着污染负荷量本身的增加而提高.按照水功能区划中Ⅲ类水的水质要求,长乐江总氮含量全年超标;各非点源的总氮投(排)放量均须不同程度的削减,削减总量应达到1 581.0　t;氮源削减量分配结果表明,化肥是应削减的最大氮源,要求在河流相应集水区内的化肥氮投放削减量为1 047.4 t·a^-1;而与各种氮源的投排放现状相比,要求削减比例最高的是畜禽养殖的氮排放量,达32.4%.长乐江流域尚有一定的总磷剩余水环境容量(2 335.7 t·a^-1).根据目标水质要求,平水期是各污染源总氮投放需要削减的量最大的时期,丰水期则是总磷剩余水环境容量最小的时期.     

Sustainable method towards magnetic ordered mesoporous polymers for efficient Methylene Blue removal

The difficulty in achieving high removal efficiency for contaminants in textile wastewater over a wide range of pH impedes the progress of its treatment technique greatly. Herein, a facile and sustainable strategy was adopted for constructing magnetic ordered mesoporous polymers (M-OMPs) without the assistance of organic solvent and catalyst. The prepared M-OMPs were endowed with high special surface area and good superparamagnetism simultaneously, and exhibited high removal efficiency (>99%) for Methylene Blue (MB) within a short time (10 min) at a concentration of 50 mg/L. What's more, high removal efficiency was achieved over a wide range of pH 2-12 and the adsorption capacity for MB on M-OMPs was substantially retained even after 5 adsorption-desorption cycles, further demonstrating the application potential of M-OMPs in the decontamination of textile wastewater.     

Characterization of peroxyacetyl nitrate (PAN) under different PM2.5 concentration in wintertime at a North China rural site

As a secondary pollutant of photochemical pollution, peroxyacetyl nitrate(PAN) has attracted a close attention. A four-month campaign was conducted at a rural site in North China Plain(NCP) including the measurement of PAN, O₃, NO_x, PM_2.5, oxygenated volatile organic compounds(OVOCs), photolysis rate constants of NO₂ and O₃ and meteorological parameters to investigate the wintertime characterization of photochemistry from November 2018 to Fe...     

Potential influence of overwintering benthic algae on water quality

Overwintering benthic algae not only directly impact drinking water safety, but also affect the algae recruitment in warm spring seasons. Thus, understanding the characteristics of overwintering benthic algae can provide scientific references for formulating preventative strategies of reasonable water resource. However, they have received less attention. In this study, the spatiotemporal variation of benthic algae and their harmful secondary metabolites were studied from autumn to summer in Qing...     

Water-soluble matter in PM2.5 in a coastal city over China: Chemical components, optical properties, and source analysis

Although marine and terrestrial emissions simultaneously affect the formation of atmospheric fine particles in coastal areas, knowledge on the optical properties and sources of water-soluble matter in these areas is still scarce. In this work, taking Qingdao, China as a typical coastal location, the chemical composition of PM_2.5 during winter 2019 was analyzed.Excitation-emission matrix fluorescence spectroscopy was combined with parallel factor analysis model to explain the component...     

Investigation of PM2.5 pollution during COVID-19 pandemic in Guangzhou, China

The COVID-19 pandemic has raised awareness about various environmental issues,including PM_2.5 pollution.Here,PM_2.5 pollution during the COVID-19 lockdown was traced and analyzed to clarify the sources and factors influencing PM_2.5 in Guangzhou,with an emphasis on heavy pollution.The lockdown led to large reductions in industrial and traffic emissions,which significantly reduced PM_2.5 concentrations in Guangzhou.Interestingly,the trend of PM_2.5     

Pig carcass composting using a forced aeration system during different seasons: a field study

Journal of Material Cycles and Waste Management - Composting has been recognized as an environmentally acceptable method for treating animal carcasses. This field-scale study was designed to...     

Increasing collaboration between China and India in the environmental sciences to foster global sustainability

As the two largest countries by population, China and India have pervasive effects on the ecosphere. Because of their human population size and long international boundary, they share biodiversity and the threats to it, as well as crops, pests and diseases. We ranked the two countries on a variety of environmental challenges and solutions, illustrating quantitatively their environmental footprint and the parallels between them regarding the threats to their human populations and biodiversity. Yet we show that China and India continue to have few co-authorships in environmental publications, even as their major funding for scientific research has expanded. An agenda for collaboration between China and India can start with the shared Himalaya, linking the countries’ scientists and institutions. A broader agenda can then be framed around environmental challenges that have regional patterns. Coordinated and collaborative research has the potential to improve the two countries’ environmental performance, with implications for global sustainability.