基于入口NOx质量浓度修正的脱硝系统多模型预测控制策略及其应用案例

建立不同锅炉工况下基于欧式距离聚类的总给煤量长短期记忆神经网络预测模型,对入口处的NO_x质量浓度数据进行修正,其验证集上的均方根误差为3.53 mg·m^-3。该结果优于常见的回归方法深度神经网络与随机森林回归的预测结果。以此为基础,研究了基于入口NO_x质量浓度修正的多模型预测控制(MMPC),设计并进行了脱硝系统仿真。仿真结果表明,与原有控制条件相比,基于入口NO_x质量浓度修正的MMPC策略使脱硝系统出口NO_x质量浓度波动幅度减小了63.7%,并能满足出口质量浓度指标为40 mg·m^-3时的控制要求,实现卡边控制。现场工程应用结果表明：在高、中、低负荷正常运行的工况条件下,入口修正-MMPC策略可将出口NO_x质量浓度波动分别控制在±10.6 mg·m⁻³、±5.5 mg·m⁻³、±4.9 mg·m⁻³,以标准差来衡量波动幅度即分别减小了53.4%、74.7%、64.6%,此控制水平优于原有控制效果;在出口NO_x质量浓度易超标并出现高浓度氨逃逸的快速变负荷工况下,升、降负荷出口NO_x质量浓度波动分别控制在±6 mg·m⁻³、±5 mg·m⁻³,此控制水平仍优于原有控制效果。本研究的入口修正-MMPC控制策略可实现不同负荷、工况下的喷氨控制,减小出口NO_x波动幅度,降低后续设备低温腐蚀的风险,从而提高SNCR/SCR联合脱硝系统运行的经济性和安全性。     

调理剂-植物栽培协同降低矿区农田土壤中重金属有效态含量

定量评估重金属有效态含量是明确农田土壤修复过程中重金属生态环境风险的重要步骤。针对硫化物矿区重金属污染土壤开展添加蚕沙-铁粉及蚕沙-伊蒙土-铁粉调理剂条件下油葵、孔雀草、香茅草和桑树4种经济作物的盆栽试验,并测定经济作物与调理剂共同作用下土壤中pH、有机质及镉砷铅锌铜有效态的含量。结果显示作物栽培与调理剂共同作用下,土壤pH值在两季中均有增加,土壤有机质在第一季中增加。第一季种植4种经济作物添加蚕沙-铁粉可显著降低土壤中多种重金属有效态含量,各重金属的最高钝化效率分别为Cd 30.3%、As 49.5%、Pb33.6%、Zn 52.1%、Cu 45.7%,优于蚕沙-伊蒙土-铁粉的调理效果。第二季种植时调理剂的钝化效率普遍降低。两季综合来看,蚕沙-铁粉联合香茅草时有效态镉、砷、铅、锌、铜的降低幅度最大。因此,添加蚕沙-铁粉调理剂的四种作物单季种植时能同时降低镉、砷、铅、锌、铜有效态的含量,香茅草两季种植时能同时降低以上5种重金属有效态含量,具有潜在应用价值。     

北方滨海人工湿地水生生物群落重建效果评估——以天津临港湿地二期生态重建工程为例

为准确评估滨海人工湿地生态重建成效,科学指导工程改进方案,以重建近1年的天津临港湿地二期生态重建工程为例,通过调查重建前(2020年)和重建后(2021年)湿地水生生物群落组成变化,评价湿地生物群落重建效果。结果表明：经过近1年的生态重建,鱼类群落和底栖动物群落均得到不同程度恢复;鱼类的种类由重建前的未检出增加到10种,除泥鳅、梭鱼等增殖先锋物种未得以恢复外,其他增殖鱼类均长势良好;随着物理生境改善和先锋物种的直接投加,底栖动物数量由重建前的11种提高到重建后的28种,生物多样性明显提高;在类群组成上,底栖动物群落以自然恢复的摇蚊幼虫为主,人工投放的大型底栖物种恢复进程相对缓慢;鱼类增殖放流加剧了对浮游动物的捕食压力,造成浮游动物生物量降低和个体减小,进而导致浮游植物群落的快速响应和结构变化。基于上述研究结果,提出了水生生物群落重建优化调控建议。本研究成果可为北方滨海人工湿地重建提供借鉴。     

混合型污水处理厂原位生物强化脱氮中试及微生物群落结构分析研究

针对混合型污水处理厂进水水质波动大、C/N低、总氮稳定达标困难等共性问题,开发出适宜于低C/N、贫营养等苛刻环境条件的高效脱氮菌剂.现场中试结果表明:经过脱氮菌强化后,生化系统脱氮效率提升8.5百分点,出水平均总氮较强化前下降3 mg/L,出水水质稳定性明显提升,生物强化效果显著.在不补加碳源条件下,深度处理出水总氮完...     

Effects of ambient temperature on outpatient visits for dermatitis in Xinxiang,China: a time-series analysis

Environmental Science and Pollution Research - Previous studies have reported regional variations in the relationship between ambient temperature and dermatitis, which therefore remain...     

Does regional energy consumption disparities assist to control environmental degradation in OBOR: an entropy approach

China launched the One Belt & One Road (OBOR) initiative to minimize the energy resource shortage. The China’s nearby countries are rich in energy resources especially Middle East and North Africa (MENA) and Asian countries which make them ideal locations to cooperate with China in terms of energy resources, as 42.8% of world energy consumption belongs to OBOR countries. The present study elaborates the spatial distribution pattern of energy consumption disparities and its impact on environment. To do this, an entropy approach is utilized to compute the energy consumption inequalities in OBOR and its regions. The spatial and Pareto analysis show that MENA, East, and Southeast Asian economies have the highest degree of energy consumption inequalities, while European and Central Asian economies show the lowest energy consumption inequalities in OBOR region. The long-run estimates indicate that energy consumption inequalities enhance the CO₂ emission in OBOR and its region except South and Southeast Asia. Financial development also has a significantly positive impact on CO₂ emission in all models for OBOR and its regions except East Asia. Based on findings, the spatial distribution analysis is applicable to maintain balance in regional energy consumption inequality within OBOR and its regions.

     

Plume analysis from field evaluations of a portable air quality monitoring system

ABSTRACT

Near-road measurements in Rochester, NY with a Portable Air Quality Monitoring System indicate a significant plume control of PM_2.5 black carbon (BC) concentrations. This study evaluates the performance of two portable air quality enclosures deployed at collocated research sites to determine their accuracy and usefulness in field deployments, and specifically in pollution plume analysis. One system deployed collocated sensors for measurement of particulate matter mass concentration (Thermo pDR 1500 against Tapered Element Oscillating Microbalance (TEOM) measurement) and the second system deployed sensors for measurement of black carbon (Magee AE33 aethalometer and Brechtel Tricolor Absorption Photometer) in ambient and near-road locations in Rochester, New York, respectively. While the optical PM_2.5 sensors tended to be biased in their determination of concentration by ~15%, they followed changes and trends in concentration very well. The black carbon sensors in the portable systems agreed very well with each other and with the collocated sensor. As a case study to determine the contribution from statistically significant short-lived excursions of pollutant concentration, Morlet wavelet analysis was performed on data from the portable system sensors. Black carbon was found to be strongly influenced by plume behavior with significant plume excursions representing just over 12% of all data points and contributing on average 1 µg/m³ of black carbon above ambient concentrations.

Implications: This paper first evaluates two air pollutant monitoring enclosures with wide applicability including near-road detection of pollutants. Then, we present a novel method to designate isolate statistically significant excursions in air pollution concentration which can be used to determine the impact of pollutant plumes as observed in PM and black carbon behavior near road.     

超声-碱破解剩余污泥的条件优化

剩余污泥水解是实现污泥减量化和解决污水处理厂生物脱氮除磷中碳源不足的重要途径。以浓缩池污泥为对象,通过正交实验对超声-碱联合处理条件进行优化,考察了污泥破解率、上清液C/N与C/P的变化,并进行经济性分析。结果表明,对污泥破解率、上清液C/N、C/P影响最大的3个因素分别为pH、声能密度、pH。综合考虑3者,得到最佳操作条件为,声能密度=1.5 W·mL⁻¹、超声时间=15 min、pH=10、碱处理时间=1.5 h,在此条件下,污泥VSS去除率可达35％左右,可以减少污泥处置的成本。上清液SCOD>7 600 mg·L⁻¹、C/N>30、C/P>60,可以制备高碳低氮磷的污泥上清液回流,在大规模应用中比外加碳源的方式要节约成本。本研究结果可为超声-碱破解污泥的实际工程提供参考。     

感潮平原中心城区河道近自然生态修复技术的应用

针对感潮平原中心城区河道存在往复流现象带来的水质波动、生态岸线差、生态系统稳定性不足等问题,开展以基于生物屏障技术耦合水生动植物生态系统构建为主的全面系统的近自然生态修复集成技术及示范研究。注重源头削减和末端综合治理,通过集成构建河道水质稳定技术、海绵设施生态岸线、优化水生态系统措施等技术体系,并选取上海市中心城区典型河道进行示范应用及效果跟踪。结果表明,修复后河道水质和感官效果得到了极大提升,化学需氧量(COD)、氨氮、总磷、浊度/悬浮物(SS)各均值较未处理河道水质均值分别降低约23%、41%、35%、51%/52%,5大类抗生素除了洁霉素、克林霉素和磺胺吡啶外均未检出,河道水质从在地表水IV类水质上下波动稳定达到IV类(总氮指标除外)。     

Insight into the dynamic microbial community and core bacteria in composting from different sources by advanced bioinformatics methods

Microbial communities are important for high composting efficiency and good quality composts. This study was conducted to compare the changes of physicochemical and bacterial characteristics in composting from different raw materials, including chicken manure (CM), duck manure (DM), sheep manure (SM), food waste (FW), and vegetable waste (VW). The role and interactions of core bacteria and their contribution to maturity in diverse composts were analyzed by advanced bioinformatics methods combined sequencing with co-occurrence network and structural equation modeling (SEM). Results indicated that there were obviously different bacterial composition and diversity in composting from diverse sources. FW had a low pH and different physiochemical characteristics compared to other composts but they all achieved similar maturity products. Redundancy analysis suggested total organic carbon, phosphorus, and temperature governed the composition of microbial species but key factors were different in diverse composts. Network analysis showed completely different interactions of core bacterial community from diverse composts but Thermobifida was the ubiquitous core bacteria in composting bacterial network. Sphaerobacter and Lactobacillus as core genus were presented in the starting mesophilic and thermophilic phases of composting from manure (CM, DM, SM) and municipal solid waste (FW, VW), respectively. SEM indicated core bacteria had the positive, direct, and the biggest (>?80%) effects on composting maturity. Therefore, this study presents theoretical basis to identify and enhance the core bacteria for improving full-scale composting efficiency facing more and more organic wastes.