烟气平均流速自动测量及其自动检测装置

通过对烟道"速度场常数"的研究,提出了利用速度场常数监测烟道烟气平均流速的方法,同时研制出速度场常数自动检测装置.解决了烟道烟气平均流速自动监测的技术难题.经实践检验:所研究的监测方法正确,检测装置结构合理,监测结果稳定、可靠.     

基于遗传算法的大气污染总量控制新方法

提出一种利用遗传算法进行大气污染总量控制的新方法,并以柳州市SO2总量控制为例说明这种方法的具体运用.遗传算法具备自适应全局搜索寻优特点,从控制点浓度推算源强分布,该源强分布满足总量控制的根本要求.该方法的具体实现是:将区域内各污染源的排放量编码为染色体,让染色体群体在模拟的进化环境下按生物进化规律进行优胜劣汰的自然选择,经过若干代的进化,最终得到的最优个体即代表最佳的源强分布.研究结果表明,这种方法是有效的和可行的.     

脱硫石膏改良中度苏打盐渍土施用量的研究

采用盆栽试验和田间试验相结合的方法,通过种植油葵(Helianthus annus),进行了脱硫石膏施用量的试验.结果表明,施用脱硫石膏能够有效降低土壤碱化度、总碱度和pH值,但却增加了土壤全盐量;施用脱硫石膏可显著提高油葵出苗率和产量,但施用量过高会抑制油葵的生长发育.施用11 250 kg·hm-2脱硫石膏对中度苏打盐渍土改良效果最佳,最有利于油葵的生长发育,耕作层土壤碱化度、总碱度和pH值分别降至6%、0.2 cmol·kg-1和8.5以下,油葵出苗率达到70%以上,田间试验中油葵产量高达2 031 kg·hm-2,与不施脱硫石膏处理相比,增产率达到16.2%.     

脱硫石膏改良碱化土壤种植水稻施用量研究

选择具有典型代表性的宁夏西大滩碱化土壤,采用拉丁方田间试验设计进行脱硫石膏改良碱化土壤种植水稻(Oryza sativa)的施用量研究.试验研究表明施用脱硫石膏能够降低土壤碱化度、总碱度和pH值,提高水稻的出苗率和产量.但是,脱硫石膏施用量不同,土壤碱化度、总碱度和pH值降低的值不同.根据脱硫石膏施用量与土壤碱化度、总碱度、pH值降低的模拟曲线关系,当脱硫石膏施用量为2.8～3.1kg·m~(-2)时,土壤碱化度、总碱度、pH值降低的值达到最大.同时,根据脱硫石膏施用量与水稻出苗率和产量的模拟曲线关系,当脱硫石膏施用量为2.86kg·m~(-2),水稻出苗率达到最大,为84.7%;当脱硫石膏施用量为2.79kg·m~(-2)时,水稻产量达到最大,为0.75kg·m~(-2).因此,建议脱硫石膏改良碱化土壤种植水稻的施用量为2.8～3.1kg·m~(-2).     

拮抗菌B96-Ⅱ对芦笋枯萎菌的抑菌作用

为明确拮抗菌B96-Ⅱ对芦笋枯萎菌的抑制效果并探明其抑菌特性及方式,对经B96-11处理后芦笋枯萎菌的生长速率、液体电解质、电导率及菌丝重量等进行了测定研究.结果表明,在10~7～10~8 CFU/mL时,B96-Ⅱ对芦笋枯萎菌均有显著的抑制效果.连续3 wk室内观察发现,B96-Ⅱ对芦笋枯萎菌丝有持续的抑制作用,与对照比较抑制率为94.07%～88.98%.田问防治效果为93.40%.而农药多菌灵处理的防治效果仅为65.12%.拮抗菌B96-Ⅱ对芦笋枯萎菌的抑制方式主要为:(1)对孢子形成的抑制作用;(2)对孢子的溶解作用;(3)对菌丝生长的抑制作用;(4)对菌丝的致畸作用;(5)对菌体细胞的破损作用.B96-11处理后36 h,溶液总溶解性同体和电导率增高,而菌丝重量下降.图4表3参14     

苏州河网区河道上覆水与底泥中氮素形态分布特征

以苏州河网区河道为研究对象,分布式采集10个采样点,分析水质状况和底泥中氮素形态与含量及其剖面分布,以探讨上覆水和底泥中各形态氮的相关性. 结果表明:上覆水中ρ(总氮),ρ(总磷)及ρ(COD_Cr)均超标,水质呈弱碱性,ρ(硝态氮)(1.10～2.39 mg/L)均高于ρ(铵态氮)(0.30～1.70 mg/L),80%的采样点水质为劣Ⅴ类,水质污染严重,且以氮污染为主;底泥中w(总氮)为2.78～6.30 g/kg,其随沉积深度的增加而减少,说明河道污染负荷有逐年加重的趋势;底泥中w(铵态氮)为37.2～228.0 mg/kg,其随沉积深度的增加而增加,说明铵态氮的沉积量在逐年减少;底泥中w(硝态氮)为13.1～69.4 mg/kg,其在各点的剖面变化趋势不尽相同,这可能与河道水体流动性较大有关. 相关性分析和空间关系分析显示,虽然上覆水中各形态氮含量和底泥表层中各形态氮含量点位对应的关系不显著,但在空间上存在一定的关联性,即由于水体的流动性,使得底泥到上覆水的氮含量高值区有从东向西迁移的趋势.      

Multi-metric evaluation of the models WARM,CropSyst, and WOFOST for rice

WARM (Water Accounting Rice Model) simulates paddy rice (Oryza sativa L.), based on temperature-driven development and radiation-driven crop growth. It also simulates: biomass partitioning, floodwater effect on temperature, spikelet sterility, floodwater and chemicals management, and soil hydrology. Biomass estimates from WARM were evaluated and compared with the ones from two generic crop models (CropSyst, WOFOST). The test-area was the Po Valley (Italy). Data collected at six sites from 1989 to 2004 from rice crops grown under flooded and non-limiting conditions were split into a calibration (to estimate some model parameters) and a validation set. For model evaluation, a fuzzy-logic based multiple-metrics indicator (MQI) was used: 0 (best) ≤ MQI ≤ 1 (worst). WARM estimates compared well with the actual data (mean MQI = 0.037 against 0.167 and 0.173 with CropSyst and WOFOST, respectively). On an average, the three models performed similarly for individual validation metrics such as modelling efficiency (EF > 0.90) and correlation coefficient (R > 0.98). WARM performed best in a weighed measure of the Akaike Information Criterion: (worst) 0<wk<1$0<w_k<1$ (best), considering estimation accuracy and number of parameters required to achieve it (mean wk=0.983$w_k=0.983$ against 0.007 and ∼0.000 with CropSyst and WOFOST, respectively). WARM results were sensitive to 30% of the model parameters (ratio being lower with both CropSyst, <10%, and WOFOST, <20%), but appeared the easiest model to use because of the lowest number of crop parameters required (10 against 15 and 34 with CropSyst and WOFOST, respectively). This study provides a concrete example of the possibilities offered using a range of assessment metrics to evaluate model estimates, predictive capabilities, and complexity.     

确定二氧化硫总量控制目标方法的研究

分析了城市二氧化硫地面浓度来源,提出了高、中、低架源对地面浓度贡献的理论,由城市污染源排放结构导出该城市的年平均扩散系数,确定城市二氧化硫地面环境质量控制目标,从而可以得出各城市二氧化硫总量控制目标值      

OUTLIER DETECTION IN TOTAL PHOSPHORUS CONCENTRATION DATA FROM SOUTH FLORIDA RAINFALL1

ABSTRACT: Atmospheric deposition can be a significant source of phosphorus to South Florida's aquatic system. Deposition samples are often contaminated to varying degrees by bird droppings or other foreign materials. This study attempted to use statistical and other methods to detect and remove the outliers in the rain-borne total phosphorus concentration data. Some outliers in the data were identified using field notes derived from visual inspection of the samples. Outlier detection statistics based on a simple linear regression were then used for additional data screening. As a result of these analyses, about 35 percent of the observed values were identified as outlying data which needed to be removed prior to further data analyses. Based on detected outliers in the data from 15 monitoring sites, a lumped cutoff value of 130 4mUg/L was determined. This lumped cutoff value may be useful for further quality control and analyses of the data from the region.     

气候变化对区域经济的影响及其对策研究

采用经济学上著名的“投入－产出”分析方法,结合气候变化对工业影响的统计模型和对农业产量影响的计算机模拟系统,建立了气候变化对区域经济影响的投入－产出模型,预测了未来不同气候变化情景对经济部门国内生产总值和总产出量的影响;分析了当气候变化对工业、农业部门的生产和产品发生影响时,导致的国民经济其他部门生产和产品的改变、部门间需求量的变化和各部门间投入产出流量的变化,为决策者提供了一些适应气候变化的相应对策,研究结果为实现气候变化情景下区域经济的平衡与协调发展,以及制定区域经济的发展规划提供了理论依据。