Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Eco-environment quality evaluation is an important research theme in environment management. In the present study, Fuzhou city in China was selected as a study area and a limited number of 222 sampling field sites were first investigated in situ with the help of a GPS device. Every sampling site was assessed by ecological experts and given an Eco-environment Background Value (EBV) based on a scoring and ranking system. The higher the EBV, the better the ecological environmental quality. Then, three types of eco-environmental attributes that are physically-based and easily-quantifiable at a grid level were extracted: (1) remote sensing derived attributes (vegetation index, wetness index, soil brightness index, surface land temperature index), (2) meteorological attributes (annual temperature and annual precipitation), and (3) terrain attribute (elevation). A Back Propagation (BP) Artificial Neural Network (ANN) model was proposed for the EBV validation and prediction. A three-layer BP ANN model was designed to automatically learn the internal relationship using a training set of known EBV and eco-environmental attributes, followed by the application of the model for predicting EBV values across the whole study area. It was found that the performance of the BP ANN model was satisfactory and capable of an overall prediction accuracy of 82.4%, with a Kappa coefficient of 0.801 in the validation. The evaluation results showed that the eco-environmental quality of Fuzhou city is considered as satisfactory. Through analyzing the spatial correlation between the eco-environmental quality and land uses, it was found that the best eco-environmental areas were related to forest lands, whereas the urban area had the relatively worst eco-environmental quality. Human activities are still considered as a major impact on the eco-environmental quality in this area.     

8-氨基喹啉-5-偶氮-对苯酚荧光光度法测定微量铬(Ⅵ)

在盐酸介质中,铬(Ⅵ)与AQAPOH形成可被氯仿萃取的荧光化合物,其λex/λem=295nm/400nm.线性范围为0-1.0μg Cr(Ⅵ)/25ml(水相),检测限为0.7μg/L.除Mn(Ⅶ)外,常见金属离子无干扰,可在数千倍Cr(Ⅲ)存在下测定废水中微量铬(Ⅵ).初步探讨了荧光反应的机理.     

微波萃取技术在分析土壤中有机污染物的应用

介绍了微波萃取技术及其使用的试剂、设备和条件,对微波萃取在分析土壤中有机污染物的应用予以综述,阐述了微波萃取技术是分析土壤中有机污染物的好方法。     

水环境监测的酶学方法

对淡水环境水质监测的酶学方法作了扼要的综述。淡水生态系统中的酶能够基本反映水体的生物活性,故能与其它经典生物性指数相参照,而酶活性的变化往往先于细胞数目的变化,故酶学监测方法更为简便和灵敏。酶的活性及其动力学特征亦可对某种特定的生物化学过程或者物质循环机制作出较为深刻精确的描述。因此,酶可望成为特殊层次上的包含综合信息且具有独特含义的监测指标。     

神经网络与模拟退火算法结合的锅炉低NOx燃烧优化

对某600MW燃煤电站锅炉进行了多工况热态NO_x排放特性测量,在利用多层前向神经网络对该锅炉的NO_x排放特性进行建模的基础上,将神经网络模型与模拟退火全局优化算法相结合,实现了锅炉的低NO_x燃烧的优化,计算得到可获得低NO_x排放浓度的具体燃烧配风方案.文中对2种不同退火参数的模拟退火算法进行了比较,结果说明采用T₀=50K,α=0.6的参数可以获得较好的寻优效果.本文研究结果为实现大型电站锅炉低NO_x燃烧控制的在线优化技术打下了基础.     

撇油器的原理及性能

溢油回收装置的有效使用是降低和消除溢油污染的重要手段。比较了撇油器的各种原理、性能及操作条件。     

某二高线通风改造实践研究

根据自然通风原理,对某二高线厂房进行了通风改造,主要从以下三方面人手：在进风窗下增设百页进风口、用通风栅栏代替封闭平台以及扩大天窗喉口。改造前后气流及温度分布的实测结果表明,改造后工作区的热环境得到了较大的改善,气流分布均匀,温度下降明显,提高了人体舒适性。     

Enhanced anaerobic treatment of CSTR-digested effluent from chicken manure: The effect of ammonia inhibition

The effect of ammonia inhibition was evaluated during the enhanced anaerobic treatment of digested effluent from a 700 m³ chicken-manure continuous stirred tank reactor (CSTR). A 12.3 L internal circulation (IC) reactor inoculated with an anaerobic granular sludge and operated at 35 ± 1 °C was employed for the investigation. With a corresponding organic loading rate of 1.5-3.5 kg-COD/m³ d over a hydraulic retention time of 1.5 d, a maximum volumetric biogas production rate of 1.2 m³/m³ d and TCOD (total COD) removal efficiency ranging from 70% to 80% was achieved. However, the continual increase in the influent TAN content led to ammonia inhibition in the methanogenesis system. The SCOD/TAN (soluble COD/total ammonia nitrogen) ratio was presented to be the key controlling factor for the anaerobic treatment of semi-digested chicken manure, and further validation through shock loading and ammonia inhibition experiments was conducted. The threshold value of the SCOD/TAN ratio was determined to be 2.4 (corresponding to a TAN of 1250 mg/L) at an influent pH of 8.5-9.     

TiO2介孔球的合成及其对双酚A的光催化降解

以不同的含钛化合物作为原料,在无模板条件下经一步溶剂热法合成了两种TiO2介孔球——TiO2-1和TiO2-2。对两种TiO2介孔球的形貌进行了表征,结果表明:TiO2-1和TiO2-2粒径分别为5.7 nm和8.0 nm;比表面积分别为159.4 m2/g和128.3 m2/g;孔径约为4.0 nm和5.0 nm。采用P25型TiO2、TiO2-1和TiO2-2对双酚A溶液进行光催化降解反应。在催化剂加入量为0.5 mg/L的条件下降解60 min,双酚A去除率分别为76.3%,99.7%,98.5%。TiO2-1和TiO2-2的光催化效果优于P25型TiO2,且TiO2-1的光催化效果更好。     

PW_(12)/g-C_3N_4光催化降解甲基橙

采用浸渍法制备了磷钨酸(PW12)/g-C3N4复合光催化剂,并将其用于溶液中甲基橙的光催化降解,运用IR技术对使用前后的光催化剂进行了表征。表征结果显示,PW12和g-C3N4的结构未在浸渍负载中发生改变,且PW12和g-C3N4结合牢固。实验结果表明:最佳的PW12负载量(光催化剂中PW12的质量分数)为50%;光催化降解甲基橙的优化反应条件为初始甲基橙质量浓度5 mg/L、光催化剂加入量0.6 g/L、初始溶液p H=7;在优化条件下,分别采用紫外光、模拟太阳光、可见光照射120 min后,甲基橙的降解率分别为96.59%,82.23%,42.78%;该光催化剂固载良好,使用中不易发生溶脱,稳定性好,可重复使用。