BP 神经网络模型在环境气象灾害预测中的应用研究--以湖南省为例

依据环境气象数据与自然灾害统计数据,建立BP神经网络模型,对湖南主要气象灾害（洪灾、旱灾、冰冻灾）及受灾经济损失进行实例预测,将在MATLAB7软件中的仿真结果与传统的多元线性回归模型分析结果进行比较和误差分析。结果表明,BP神经网络模型在洪灾、旱灾受灾率方面的预测效果和精度优于多元回归模型,而由于冰灾训练样本不足及经济损失与输入因子的线性相关程度高,在冰灾与受灾经济损失率方面稍逊于多元回归模型。     

推进养殖污染防治,实现产业优化与环境保护双赢——对《水污染防治行动计划》的解读

针对《水污染防治行动计划》提出的畜禽养殖污染治理思路和措施,梳理了我国现阶段畜禽养殖污染防治中存在的问题,对《水污染防治行动计划》中提出的"调布局、建设施、促利用"三大举措进行了分析和解读,提出了落实《水污染防治行动计划》的几项重点工作,为地方推进畜禽养殖污染防治工作提供参考。     

三种微生物对铀的吸附行为研究

开展了酵母菌(真菌)、枯草芽孢杆菌(细菌)、小球藻(藻类)对水体中铀(Ⅵ)的吸附性能及机理研究.结果表明:3种微生物对铀都具有较好的吸附效果.酵母菌,小球藻,枯草芽孢杆菌对铀的最佳吸附率分别为97.19%、97.13%、98.03%;且最大吸附量分别达到341.2、356.5、512.5mgU/g(DW).3种微生物对铀的吸附过程和机理有所不同,酵母菌和小球藻符合Langmuir模型,枯草芽孢杆菌更适合Freundlich模型,吸附至12h,酵母菌表面逐渐出现铀和磷的片状结晶及含铀沉积物堆积,小球藻和枯草芽孢杆菌与铀(50mgU/L)作用后细胞出现明显变形,菌体表面未出现铀的结晶物.     

水培和盆栽条件下碎米莎草对铀的耐受性及富集特征

碎米莎草(Cyperus iria L.)作为铀的超耐受植物,它的发现为探讨铀污染环境的植物修复和铀在植物体中的吸收和耐受机理提供了一种新的资源. 在Hoagland's营养液中加入铀标准溶液模拟铀污染水环境,以及直接在铀尾沙条件分析不同铀供应水平下碎米莎草对铀的耐受性能和富集特征. 结果表明:①碎米莎草对铀的富集特征依赖于生长介质中铀的供应水平和植物生长期等多重因素. 碎米莎草不同生长期各部位w(U)均高于生长介质中的铀供应水平,根系和地上部分w(U)最高可分别达(48 605±1 266)和(824±856)mg/kg. 根、茎和叶中w(U)基本随着铀供应水平的升高而增加,在开花期时较低,根系吸收的铀有1/10~1/5能转移至茎、叶、花籽部位,ρ(U)<250 mg/L的铀溶液对碎米莎草的生长无抑制作用. ②碎米莎草对铀尾沙具有很强的耐受性,但地上部分的富集系数在某些条件下可大于1;地上部分的w(U)在开花期相对较高,至成熟期时下降;在成熟期添加柠檬酸有助于碎米莎草根、茎和叶将铀转移至籽部位.      

富氧条件下等离子体协同改性NaY分子筛催化分解NO_x研究

用不同浓度的Cu、Ce和La离子交换Na Y分子筛,对比了不同改性条件下等离子体协同分解NO_x的性能.实验结果表明:Cu是NO_x催化分解的主要活性组分,对于8%Cu-Na Y催化剂,当放电电压为10 k V,放电功率为7.6 W时,NO_x转化率可达46.3%,反应产物中没有NO_2,只有11 ppm的N_2O.Ce的加入可以有效提高催化剂催化活性,对于5%Ce-8%Cu-NaY催化剂,当放电电压为7.8 kV,功率为3.6 W时,NO_x转化率可达67.3%.La的加入同样可以使催化剂活性上升,但不同La含量催化剂的NO_x转化率相差较小.     

闸控河段水质浓度影响关键因子识别

由于闸门调度对河道内的水环境要素具有强烈的扰动作用,故闸控河段的水质变化过程较常规河道更为复杂。为了探析引起闸控河段水质浓度变化的主要制约因素,以槐店闸为研究对象,结合笔者进行的2次实验和其他时期的监测数据,通过偏相关分析和主成分分析的方法识别影响闸控河段水质浓度变化的关键因子,并利用多元线性回归方法分析得到闸控河段水质浓度变化与其关键因子的多元线性回归方程。经过分析初步得到,与高锰酸盐指数浓度变化率有关的关键因子为闸门开度、开启个数、高锰酸盐指数来水浓度、溶解氧含量、流速和水深;与氨氮浓度变化率有关的关键因子为闸门开度、开启个数、氨氮来水浓度、溶解氧含量和p H值。     

上海滨岸潮滩不同粒径沉积物中无机形态磷的分布特征

以地理环境独特的上海滨岸带为研究对象，根据对冬季潮滩悬浮层、表层沉积物的研究，初步探讨了潮滩不同粒径沉积物中各无机形态磷的地球化学特征：DP、(Fe Al)-P在靠近排污口的采样点含量高，同时随粒径变化复杂；沉积物中（Fe Al)-P含量随粒径变大而升高，悬浮层沉积物中（Fe Al)-P更能指示环境的污染状况；一般细粉砂质沉积物中Ca-P含量高。     

预处理的铜绿假单胞菌对Cu2+的生物吸附研究

从电镀废水污泥中分离，纯化获一高抗铜菌株，经鉴定为铜绿假单胞菌（Pseudomonas aeruginosa)，采用不同浓度盐酸对铜绿假单胞菌进行预处理，同时考察了不同因素如溶液的pH，温度，摇床转速，接触反应时间对未处理菌和预处理的影响，结果表明，经0．1NHCl预处理的菌体具有最佳吸附效果，pH、摇床转速对菌体的吸附具有较显著影响，温度对菌体吸附影响不大。     

Emission control for precursors causing acid rain (V): Improvement of acid soil with the bio-briquette combustion ash

The bio-briquette technique which mixes coal, biomass and sulfur fixation agent and bio-briquettes under 3-5 t/cm^2 line pressure has aroused people‘s attention in view of controlling the air pollution and the acid rain. In this paper, the physicochemical properties of bio-briquette and its ash were investigated. And the acid soil was improved by the bio-briquette combustion ash, which contained nutritive substances such as P, N, K and had the acid-neutralizing capacity(ANC). The pH, EC, effective nutrient elements(Ca, Mg, K, P and N), heavy metal elements(AI, Cu, Cd, Cr, Zn and Mn) and acid-neutralizing capacity change of ash-added soils within the range of 0-10%, were also studied. Specially, when 5% bio-briquette combustion ash was added to the tested soil, the content of the effective elements such as Ca, Mg and K rose by 100 times, ? times and twice, respectively. The total nitrogen also increased by about twice. The results showed the oxyanions such as that of AI, Cu, Cd, Cr, Zn and Mn were not potentially dangerous, because they were about the same as the averages of them in Chinese soil. It is shown that the ANC became stronger, though the ANC hardly increases in the ash-added soil. On the basis of the evaluation indices, it is concluded that the best mixture ratio is to add 2.5%--8% of the bio-briquette combustion ash to the tested soil.     

Lead adsorption capacities of different components in natural surface coatings

Pb adsorption capacities of Fe oxide, Mn oxide and organic materials in natural surface coatings (biofilms and associated minerals) collected in three lakes, two ponds and a river in Jilin Province, China and Cayuga Lake in US were studied. A novel extraction technique was employed to remove one or more component(s) from the surface coatings. Pb adsorption to surface coatings before and after extraction was performed to determine the adsorptive properties of the extracted component(s). The statistical analysis of observed Pb adsorption was carried out using nonlinear least squares fitting (NLSF) to estimate the Pb adsorption capacity of each component of surface coatings. For each body of water, the estimated Pb adsorption capacity of Mn oxide( mol Pb/mol Mn) was significantly higher than that of Fe oxide( mol Pb/ mol Fe). The value of estimated adsorption capacities of organic materials with the unit mol Pb per kg COD was similar to or less than that of Fe oxides with the unit mol Pb per mol Fe. Comparison of components of surface coatings in different waters showed that the estimated Pb adsorption capacities of components in surface coatings developed in different natural waters were different,especially for Mn oxides.