Monitoring and optimizing the co-composting of dewatered sludge: a mixture experimental design approach

The management of dewatered wastewater sludge is a major issue worldwide. Sludge disposal to landfills is not sustainable and thus alternative treatment techniques are being sought. The objective of this work was to determine optimal mixing ratios of dewatered sludge with other organic amendments in order to maximize the degradability of the mixtures during composting. This objective was achieved using mixture experimental design principles. An additional objective was to study the impact of the initial C/N ratio and moisture contents on the co-composting process of dewatered sludge. The composting process was monitored through measurements of O(2) uptake rates, CO(2) evolution, temperature profile and solids reduction. Eight (8) runs were performed in 100 L insulated air-tight bioreactors under a dynamic air flow regime. The initial mixtures were prepared using dewatered wastewater sludge, mixed paper wastes, food wastes, tree branches and sawdust at various initial C/N ratios and moisture contents. According to empirical modeling, mixtures of sludge and food waste mixtures at 1:1 ratio (ww, wet weight) maximize degradability. Structural amendments should be maintained below 30% to reach thermophilic temperatures. The initial C/N ratio and initial moisture content of the mixture were not found to influence the decomposition process. The bio C/bio N ratio started from around 10, for all runs, decreased during the middle of the process and increased to up to 20 at the end of the process. The solid carbon reduction of the mixtures without the branches ranged from 28% to 62%, whilst solid N reductions ranged from 30% to 63%. Respiratory quotients had a decreasing trend throughout the composting process.     

重金属絮凝剂DTAPAM对Cu2+去除条件的响应面优化

采用聚丙烯酰胺、二甲胺、甲醛、氢氧化钠、二硫化碳为原料,制备出重金属絮凝剂二硫代羧基化胺甲基聚丙烯酰胺（DTAPAM）,以含Cu²⁺废水为研究对象,采用三因素五水平的响应曲面分析法对DTAPAM除Cu²⁺性能进行了研究.实验结果表明：响应面法建立的二次项回归模型p值为0.0037,模型显著;X₁X₂、X₁X₃、X₂X₃项的p值分别为：0.0240、0.0061、0.1322,X₁X₂、X₁X₃交互作用显著,而X₂X₃交互作用不显著.通过响应面分析,在Cu²⁺初始浓度为25 mg·L^-1,Cu²⁺初始浓度与絮凝剂投加量的比值为1：6.3,水样初始pH值为6.0时,DTAPAM对Cu²⁺的去除性能最佳.在此条件下,实测Cu²⁺的去除率为91.60%,模型预测值为93.35%,相对偏差为-1.87%,利用响应面法优化DTAPAM对Cu²⁺的去除条件可行.     

基于农户经济和环境“双优”目标的粮食主产区化肥施用优化模拟分析——以邯郸地区小麦生产为例

我国目前面临着粮食供求紧平衡和化肥过量施用导致农业面源污染的严峻挑战。利用河北邯郸地区1026户小麦种植农户的调研数据,构建经济理性与环境可持续双目标下的农户化肥施用模型,并进行优化模拟分析,旨在探讨应该如何优化粮食主产区农户的化肥施用行为,以实现经济与环境的“双优”目标。结果表明：农户对化肥的认知和化肥价格是实现“双优”目标的关键因素。现阶段农户过高估计了化肥投入对粮食增产的效果,农户的预期化肥产出弹性显著高于化肥实际产出弹性,化肥使用效率偏低;当前粮食主产区化肥价格是模拟优化分析结果中最优化肥价格的一半左右,较低的化肥施用成本促使农户倾向高化肥投入以实现粮食增产。基于研究结果,提出了矫正农户施肥认知偏差、科学高效施肥和适当提高化肥价格水平、优化化肥使用结构等政策建议。     

长沙市产业园区优化整合研究

产业园区作为产业发展的载体,是区域经济发展、产业调整升级的重要空间集聚形式.由于缺乏正确引导,长沙市产业园区出现了产业同构、园区特色不鲜明、土地利用效率低下、园区功能分区不合理、园区发展参差不齐等问题.以此为研究对象,从园区等级、空间和产业三大方面提岀优化整合策略,为长沙市产业园区发展提供参考.     

基于缩比模型的导管架平台外加电流阴极保护系统优化设计

目的研究远地式辅助阳极发生电流单元的改变和距离平台的相对位置对平台电位分布及保护程度的影响。方法以位于渤海湾JZ120-1在役导管架平台为原型,构建了一个1∶20的缩比模型。在平台底部一定距离处放置一座远地式辅助阳极,研究恒电流下辅助阳极与平台底部间距和辅助阳极发生电流单元的改变对平台电位分布及其保护程度的影响。结果单座远地阳极即可实现对整座平台的腐蚀控制。辅助阳极距离平台越远,平台表面电位差越小,电位分布越均匀;辅助阳极距离平台越近,单支阳极较四支阳极保护下的平台表面电位差越大,距离越远,电位差越小,距离相同时,4支阳极较单支阳极保护下的平台表面电位差小,电位分布更均匀。尽管海水稀释20倍,钙质沉积层的沉积与覆盖仍是影响平台表面电位分布的重要因素。结论辅助阳极发生电流单元的数量、距离平台的相对位置以及钙质沉积层的覆盖是影响平台表面电位分布和保护程度的重要因素。     

地铁车站疏散瓶颈疏散优化共性方案仿真研究*

为解决地铁车站高峰期乘客疏散的瓶颈问题,对比高成本的单一模型实验,提出1套基于Anylogic软件针对车站乘客疏散瓶颈的可重复仿真优化方案。通过实地调查,对比一般地铁车站由站厅层和站台层组成的结构特性;分析2层之间乘客通过楼梯、扶梯等进行疏散的车站共性,创建针对行人流动态疏散过程的通用仿真模型;统计模拟疏散过程中影响疏散效率的参数,给出针对共性模型的优化方案。研究结果表明:疏散总时长较优化前减少35 s,模拟成功疏散人数增加164人。研究结果能够优化车站的紧急疏散瓶颈现象从而改善车站的安全性和舒适性,所提出的优化方案可为解决车站乘客疏散问题提供研究思路。     

热电厂热储系统的构建和优化研究

热电厂热储系统的构建,对于废弃能源存储和废水再利用有重要意义。以吉林省桦甸市热电厂为例,通过对研究区水文地质条件和温度参数概化,利用FEFLOW软件构建桦甸市热电厂地下水-热耦合模型,用实际观测资料进行识别和验正,初步构建热储系统模型。设置不同井间距和抽水量来优化热储模型,研究结果表明:200 m井间距热贯通严重,500 m和1 000 m热贯通影响小;1 500 m~3/d的流量比1 200 m~3/d的流量在提热期温度下降更快,但提热总量显著增加;各方案提热总量对比显示,优化储热方案为井间距离500 m,储热期注水量8 400 m~3/d,热提取期抽水量1 500 m~3/d,冷水抽注水井在储热期和热提取期水量均为1 200 m~3/d,提热总量为2.27×10~(11)J/d。     

建立在生命周期分析之上的城市机动车能源结构优化

针对我国城市能源供需矛盾日益恶化、环境污染日益严重的现状,优化城市机动车能源结构,缓解城市机动车对传统能源的使用压力,减少尾气排放,具有十分重要的意义.因此,本文以成都市为例,采用线性优化技术,通过确定各种车用能源生命周期内的能源消耗及排放、各种能源车辆的经济成本等,分析得到成都市整个城区范围内能耗最低、排放最小的各种能源机动车数量比例.结果表明,成都市各种能源机动车的数量比例随所选目标函数的不同而有所变化.为实现总能耗最小,各种能源机动车的比例按汽油、柴油、纯电动、电力/汽油混合动力、CNG单燃料、CNG/汽油双燃料、LPG单燃料、及LPG/汽油双燃料等划分应分别68.6%、11.4%、3.7%、6.1%、5.0%、5.0%、0.1%、0.1%.与机动车数量比例优化前相比,优化后总能源消耗量、石油消耗量分别平均减少了11.5%、13.8%.除PM₁₀及SO_x排放量有所增加外,其他气体的排放均有所减少,如CO₂、VOC、CO及NO_x的平均排放量分别减少了10.6%、13.5%、13.5%及16.5%.这是因为机动车能源结构优化后,纯电动汽车及混合燃油汽车的比例有所增加,由于这两类汽车都需要经常充电从而增加了电网的压力.而我国发电技术主要采用火力发电,发电过程将会产生大量的PM₁₀及SO_x.本研究的成果可用于环境决策者制定有效的交通能源政策,达到城市可持续发展的目的.     

不确定节点水量下水质监测点优化选址方法

针对供水管网水质监测点的优化选址问题,提出污染源位置识别准确度的概念,以水质监测点探测到的不同污染事件的时段区间冗余度最小化,和污染事件探测概率最大化为优化目标,结合一个案例管网,采用非支配排序遗传算法计算节点用水量变化条件下的监测点优化选址方案,算例结果显示节点用水量的不确定性不显著影响监测点的污染事件探测能力和可能性节点识别能力,但使监测点的污染源位置识别准确度降低.     

Isolation of a salt tolerant laccase secreting strain of Trichoderma sp. NFCCI-2745 and optimization of culture conditions and assessing its effectiveness in treating saline phenolic effluents

Most of the hazardous pollutants are phenolic in nature and persists in the environment. The ability of laccases to oxidize phenolic compounds and reduce molecular oxygen to water has led to intensive studies of these enzymes. Therefore the fungal strains with high laccase activity and substrate affinity that can tolerate harsh environmental conditions have a potential for biotechnological applications. Salt tolerant laccase secreting fungi can be utilized in treatment of saline and phenolic rich industrial effluents such as coir effluent and textile effluent that needed to be diluted several fold before microbial treatment. This is the first study describing the isolation and optimization of a salt tolerant strain of Trichoderma sp. potential for industrial applications. The fungus was identified based on morphological characteristics and was subsequently confirmed with molecular techniques and deposited at National Fungal Culture Collections of India （NFCCI） under the Accession No. Trichoderma viride NFCCI 2745. In contrast to other laccase secreting fungi, light conditions did not exert much influence on laccase production of this strain and salinity enhanced its laccase secretion. The fungus effectively removed the phenolic content of the textile effluent, coir-ret liquor and wood processing effluent within 96 hr of incubation. The tolerance of the fungus to high salinity and phenolic compounds makes this strain ideal for treating saline and phenolic rich industrial effluents.