CSTR水力学模型数值求解方法探讨

CSTR模型是河流水质模拟的常用模型之一,其中水力学模型是影响CSTR模型数值稳定性的关键因素,但迄今为止对CSTR水力学模型数值稳定性鲜有充分的讨论. 以赣江朝阳水厂至八一桥北段为例,采用实测数据,分单箱积分和整体积分2种方式,讨论了Runge-Kutta-Felberg方法(RKF)、经典四阶Runge-Kutta方法(RK4)和二级四阶隐式Runge-Kutta方法(RK2)的数值稳定性、模拟精度和时间效率. 结果表明,与国际上目前常用的单箱积分相比,整体积分具有更好的稳定性. 3种Runge-Kutta方法的稳定性排序是RKF相似文献   

The Time Invariance Principle,the absence of ecological chaos,and a fundamental pitfall of discrete modeling

This paper is to show that most discrete models used for population dynamics in ecology are inherently pathological that their predications cannot be independently verified by experiments because they violate a fundamental principle of physics. The result is used to tackle an on-going controversy regarding ecological chaos. Another implication of the result is that all dynamical systems must be modeled by differential equations. As a result it suggests that researches based on discrete modeling must be closely scrutinized and the teaching of calculus and differential equations must be emphasized for students of biology.     

Biological stability in drinking water: a regression analysis of influencing factors

Some parameters, such as assimilable organic carbon(AOC), chloramine residual, water temperature, and water residence time, were measured in drinking water from distribution systems in a northern city of China. The measurement results illustrate that when chloramine residual is more than 0.3 mg/L or AOC content is below 50μg/L, the biological stability of drinking water can be controlled.Both chloramine residual and AOC have a good relationship with Heterotrophic Plate Counts( HPC)(Iog value), the correlation coefficient was-0.64 and 0.33, respectively. By regression analysis of the survey data, a statistical equation is presented and it is concluded that disinfectant residual exerts the strongest influence on bacterial growth and AOC is a suitable index to assess the biological stability in the drinking water.     

Estimation of emission reduction potential in China’s industrial sector

The industrial sector is usually the largest economy sector for carbon emissions in many countries, which made it the sector with greatest potential for carbon reduction although the process duration might be very long. Studying the potential of industrial emission reduction has great significance in estimating the carbon emission peak of China on the one hand, and adjusting its strategy in international climate change negotiations. By employing the economic accounting method, this article estimates the emission reduction potential of China’s Industrial sector for the period of 2010–2050. It reveals that, taking 2030 as the year when the emission reaches the peak, the total reduction can be 8.38 billion tons (bts) for the period of 2010–2030, with 3.12 bts from structural reduction while 5.26 bts from intensity reduction. Afterwards, reduction will continue with a total amount of 6.59 bts for the period of 2030–2050, where the structural reduction accounts for 2.47 bts, and intensity reduction 4.115 bts. If both industrial and energy consumption structures are improved during the above period, the reduction potential can be even greater, e.g. the emission peak can arrive five years earlier (in the year of 2025) and the peak value can decline by about 8% as compared to the original estimation. Reviewing the trajectory of emission changes in developed countries indicates that the industry sector can contribute to the overall reduction targets through the dual wheels of structural reduction and intensity reduction, even beyond the emission peak. This article concludes with the following policy suggestions. (1) Our estimation on the emission peak of the industrial sector suggests that China should avoid any commitment earlier than 2030 on the timeline of the overall emission peak; (2) the great potential of industrial emission reduction can improve the situation of China in climate change negotiation, where the intensity reduction can serve as an important policy option. (3) Reduction potential can be further enhanced through technology advancement, which requires furthering of market oriented reforms and improvement of institutional design. (4) To secure the reduction effects of the industrial structure adjustment, the balanced development among different regions should be encouraged in order to avoid the reverse adjustment caused by industrial transferring. (5) International cooperation promoting the application and development of industrial emission reduction technologies, including carbon capture, utilization and storage, should be encouraged.     

Thailand’s economic growth and structural development projections in the context of environmental control

Projections for 20 years of economic growth and change in the structure of the Thai economy were made for 180 sectors using a computable general equilibrium (CGE) model to compare the following four scenarios: (1) standard growth with infinite supply of factors, (2) finite land supply, (3) fixed use of agricultural chemicals, and (4) combined finite land supply with fixed use of agricultural chemicals. The computable projections suggest that the economic cost of hypothetical environmental control in agriculture is small and further weakened by urbanization. The computed structural development points to efficiency improvements specific to sectors to return the economy to balanced growth.     

黄土高原次生林演替过程土壤有机碳库及其化学组成响应特征

为探明黄土高原次生林演替过程中土壤有机碳库及其化学组成演化特征,选取陕北黄土高原黄龙山林区次生林演替初级阶段(山杨林)、过渡阶段(山杨、辽东栎混交林)和顶级阶段(辽东栎林)样地为研究对象,分析不同土层深度(0～10、 10～20、 20～30、 30～50和50～100 cm)土壤有机碳含量、储量和化学组成变化特征.结果表明：(1)土壤有机碳含量和储量随次生林演替过程显著增加(P<0.05),土壤有机碳含量随土层深度增加显著降低,土壤有机碳储量从初级阶段的64.8Mg·hm^-2增加至顶级阶段的129.2Mg·hm^-2,增加了99%.(2)次生林演替过程中,表层(0～30 cm)土壤有机碳中结构简单、相对易分解的脂肪族碳组分相对含量减少,结构复杂、相对难分解的芳香族碳组分相对含量增加,表明表层土壤有机碳化学组成稳定性随次生林演替过程显著提高,而深层(30～100cm)土壤有机碳化学组成稳定性表现为先增加后降低,即过渡阶段>顶级阶段>初级阶段.(3)次生林演替过程中,初级阶段和过渡阶段土壤有机碳化学组成稳定性随土层深度增加显著增...     

苯酚溶液对好氧颗粒污泥储存稳定性的影响

针对好氧颗粒污泥在长期储存过程中易出现的颗粒解体和微生物失活等问题,设置了浓度分别为30,60,100,150,200,300mg/L的苯酚溶液储存好氧颗粒污泥,并以蒸馏水为对照组,在室温下储存150d.考察储存期间各储存溶液中的好氧颗粒污泥特性变化情况.结果表明,储存150d后,60mg/L苯酚溶液中的好氧颗粒污泥具有较好的颗粒状结构和密实性,且其向储存溶液中释放的污染物质较少;200和300mg/L苯酚溶液中的好氧颗粒污泥也具有一定的结构完整性,但其颗粒结构强度较差.好氧颗粒污泥中的优势菌纲（黄杆菌纲、变形菌纲和放线菌纲）丰富度降低,梭状芽孢杆菌纲丰富度增加.60mg/L苯酚溶液中的环二鸟苷酸（c-di-GMP）浓度为14.38μg/gMLSS,与储存前相比下降了36.68%,300mg/L苯酚溶液中的c-di-GMP浓度为1.24μg/gMLSS,下降了94.54%.60mg/L苯酚溶液有利于好氧颗粒污泥中的黄杆菌纲分泌c-di-GMP信号分子,增加颗粒污泥储存稳定性.短期（1~70d）和长期（70~150d）储存好氧颗粒污泥,分别选用30和60mg/L苯酚溶液为储存溶液有利于维持颗粒污泥的微生物活性.     

中国大气汞排放变化的社会经济影响因素

基于投入产出模型,从生产和最终需求角度计算了1997~2017年中国大气汞排放量;并结合结构分解分析方法,定量分析了各种社会经济因素对大气汞排放变化的相对贡献.结果表明：生产端大气汞排放较多的行业主要是水泥、石灰和石膏制造业（135t）、有色金属冶炼及压延加工业（86t）等重工业;消费端对大气汞排放贡献较多的行业主要是建筑业（219t）、汽车制造业（16t）等.各种社会经济因素对不同排放源和不同行业的相对贡献存在差异.人均最终需求水平提高是大气汞排放增加的最大驱动因素,其中,有色金属冶炼及压延加工业,电力、热力的生产和供应业,水泥、石灰和石膏制造业是其推动排放增加的主要行业.排放强度降低是大气汞排放减少的最大驱动因素,对有色金属冶炼及压延加工业,电力、热力的生产和供应业,水泥、石灰和石膏制造业的减排贡献最大.生产结构、最终需求行业结构和最终需求类别结构变化导致大气汞排放略有增加,但1997~2017年间因这3种结构性因素变化而减少汞排放的排放源和行业数量增多.根据研究结果,本文从生产全过程管控、优化社会经济结构等角度提出相关政策建议.     

污泥和鸡粪生物炭制备及其老化过程中的碳损失

生物炭具有高度的碳(C)稳定性,是一种良好的固碳材料.污泥富含无机矿物质,热解制备生物炭过程中其内源矿物会富集,影响固碳能力.在500、 600和700℃下制备市政污泥生物炭(SZB)、药厂污泥生物炭(YCB)和鸡粪生物炭(JFB),并模拟其在土壤中70～100 a老化过程,利用元素分析、傅里叶红外光谱(FTIR)、 X射线荧光光谱(XRF)、离子质谱仪(ICP)和X射线衍射(XRD)等分析手段,测定其理化性质并计算C损失.结果表明,热解过程中,生物炭内源矿物种类和质量分数决定生物炭C损失,其中Ca和Mg是主要的C保护矿物,而Fe的存在会降低生物炭C稳定性,增加C损失.老化过程中,生物炭C的自身稳定性对其C损失起主要作用,矿物起辅助作用.研究揭示了生物炭内源C和矿物组分对其C损失的影响规律,为利用污泥和鸡粪生物炭土壤固碳提供参考.     

基于描述函数法的典型结构非线性识别方法研究

目的为典型的结构非线性提供识别方法。方法基于动力学基本理论,对典型结构非线性系统在建模时,将非线性单元产生的非线性力作为位移或速度的函数加入到潜在的线性系统中,对不同激励量级的频响函数加以分析,通过描述函数法识别非线性单元的位置、类型和参数。结果通过Matlab编程进行仿真验证,使用描述函数法对非线性系统进行识别,成功对三种不同情况的非线性系统实现了非线性单元识别。结论描述函数法识别的非线性位置是准确的,类型是匹配的,参数准确度极高。