Forecasting of dissolved oxygen in the Guanting reservoir using an optimized NGBM (1,1) model

An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guanting reservoir inlet and outlet (China). The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What's more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting.     

Forecasting of dissolved oxygen in the Guanting reservoir using an optimized NGBM (1,1) model

An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guanting reservoir inlet and outlet (China). The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What's more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting.     

Sulfide elimination by intermittent nitrate dosing in sewer sediments

The formation of hydrogen sulfide in biofilms and sediments in sewer systems can cause severe pipe corrosions and health hazards, and requires expensive programs for its prevention. The aim of this study is to propose a new control strategy and the optimal condition for sulfide elimination by intermittent nitrate dosing in sewer sediments. The study was carried out based on lab-scale experiments and batch tests using real sewer sediments. The intermittent nitrate dosing mode and the optimal control conditionwere investigated. The results indicated that the sulfide-intermittent-elimination strategy by nitrate dosing is advantageous for controlling sulfide accumulation in sewer sediment. The oxidation-reduction potential is a sensitive indicator parameter that can reflect the control effect and the minimum N/S (nitrate/sulfide) ratiowith slight excess nitrate is necessary for optimal conditions of efficient sulfide controlwith lower carbon source loss. The optimal control condition is feasible for the sulfide elimination in sewer systems.     

贵州普定陈旗喀斯特泉的降雨-径流响应特征分析

本文以贵州省普定县陈旗喀斯特泉流量为研究对象,采用相关分析和谱分析方法,分析降雨-出口泉流量的响应特征,统计结果表明,该喀斯特流域出口处泉流量对降雨表现出三种响应滞时,分别为短时段、中等时段和长时段响应。对应的响应滞时长度分别为2~4 h、47~49 h和176~290 h。对比流域山坡上部和坡脚两处降雨-泉流量响应特征,结合野外水文地质调查与实验,分析了表层岩溶带发育厚度、多重裂隙渗透性等水文地质条件对降雨-泉流量响应特征的影响机制。山坡上部表层岩溶带厚度较薄,且表层裂隙更为发育,导致山坡上部泉对降雨的响应更迅速,各时段滞时均小于全流域对应时段滞时。     

产絮菌H8絮凝条件的优化

在实验室条件下对产絮菌H8絮凝条件进行优化,得出所需最佳碳源为葡萄糖;最佳复合氮源为酵母菌+蛋白质;最佳生长环境PH为8;培养温度为10℃,培养时间为20h。最佳絮凝条件:高岭土PH为9.0;助凝剂为Ca2+,加入Ca Cl2的最佳浓度为0.04%,菌液投加量为2%,静沉时间5min。     

硫素对氧化还原条件下水稻土氧化铁和砷形态影响

通过充N2和充O2的氧化还原反应装置,在添加外源砷污染的水稻土中,施用不同形态的无机硫(不施硫S0,单质硫S1和硫酸盐S2),模拟水稻田的氧化还原状况.结果表明,通N2时,土壤溶液氧化还原电位(Eh)在-100~-200 mV之间,溶液pH在7.0~8.0之间,pe+pH为4~7之间;通O2时,溶液Eh在200mV左右,溶液pH在6.5~7.5之间,pe+pH为9~12之间.无论通N2还是通O2,土壤溶出铁的浓度在1.2~1.6 mg·L-1,均有处理S0>S1>S2和AsS0>AsS1>AsS2.在通N2时,各处理HCl提取土壤氧化铁的含量比原土[(21.4±0.3)g·kg-1]低5 g·kg-1,有利于结晶态氧化铁向无定形氧化铁转化和形成Fe2+,无定形氧化铁活化度比原土活化度46.8%有所增加,且处理AsS2(49.4%)AsS2(36.1%).通N2时,土壤溶液中砷浓度变化为AsS0[(1.13±0.04)mg·L-1]>AsS1[(0.89±0.01)mg·L-1]>AsS2[(0.77±0.04)mg·L-1];通O2时,土壤溶液中砷浓度变化AsS1[(0.77±0.01)mg·L-1]>AsS0[(0.20±0.09)mg·L-1]>AsS2[(0.09±0.01)mg·L-1].通N2时,不同处理各形态砷占总砷比例变化为残渣态(34.9%~41.4%)≈专性吸附态(37.4%~39.5%)>晶态铁锰结合态(23.3%~25.6%)>非专性吸附态(2.4%~3.3%)>无定形铁锰结合态(0.5%~0.8%).通O2时,各处理形态砷占总砷比例变化为残渣态(30.8%~39.3%)≈专性吸附态(30.3%~34.7%)>晶态铁锰结合态(26.0%~28.7%)>无定形铁锰结合态(9.3%~10.7%)>非专性吸附态(0.5%~1.6%),其中,无定形铁锰氧化物结合态砷比通N2时提高了约9%,也就是无定形铁锰的老化作用对砷形态转化的影响.这表明还原条件能够使氧化铁的活化度升高,砷的移动性增强,但硫酸盐体系降低氧化铁的活化度,单质硫体系的砷移动性要大于硫酸盐体系的砷移动性.     

产絮凝剂细菌的筛选及其培养条件研究

从活性污泥、农药厂土壤中分离筛选到8株产絮凝剂细菌,经过复筛得到一株高效絮凝剂产生菌NT-1.该菌产絮凝剂的适宜碳源为蔗糖,适宜氮源为酵母膏,初始pH值7.0～8.0,装液量45～75 mL/150 mL,接种量3%～6%,摇床转数为150 r/min,32 ℃培养36～72 h;产生具有高效稳定絮凝活性的絮凝剂,对高岭土悬液的絮凝率均在90%以上.     

在用机动车尾气排放检测简易瞬态工况法监管策略

针对简易瞬态工况法机动车尾气排放检测过程中层出不穷的违规检测现象,为对其检测过程实施有效监管,通过分析简易瞬态工况法的检测原理,筛选出可用于监管的车辆基准质量、(CO+CO2)浓度、O2浓度、实时检测尾气流量4个参数,分析其用于监管的原理和理由,并通过五气分析仪漏气实验和实测尾气流量异常案例验证其监管可行性,以期为监管...     

On the influence of chemical initial and boundary conditions on annual regional air quality model simulations for North America

The influence of chemical initial conditions and chemical lateral boundary conditions (CLBCs) on long-term regional air quality model simulations was investigated using outputs from an annual simulation of the year 2002 on a North American domain. This simulation was carried out using the AURAMS regional air quality model. It was subdivided into three multi-month segments with two overlap periods (May 15–30 and September 1–30) to allow the segments to be run in parallel. For this approach to work, model predictions had to match very closely by the end of the two-week and four-week overlap periods. The time required for the values of daily domain-average surface PM_2.5 concentration to match for the two simulation segments associated with each of the two overlap periods was four and six days, respectively. For individual locations within the model domain, however, the required spin-up period was as much as nine days, considerably longer than the 2–4-day spin-up period usually assumed in the literature. For ozone, on the other hand, the daily domain-average surface ozone concentration values did not converge for either overlap period. A zero-gradient CLBC had been used for all run segments and species. When a time-invariant CLBC for ozone was used instead, the daily domain-average surface ozone concentration values behaved more realistically and did converge after fewer than three days. A similar improvement was also obtained for individual locations, but with spin-up periods of up to nine days. Model chemical spin-up time thus seems to be dependent on the species considered, the time required for the influence of the inflow boundaries to reach all locations within the domain, and the impact of local emissions sources. These results suggest the use of a spin-up period of longer than one week for a large (continental) domain and long-term simulation of PM_2.5 and O₃ rather than the 2–4 days commonly assumed in the literature.