气体悬浮吸收干法脱硫工艺

论述气体悬浮吸收（GSA）干法脱硫工艺过程、原理及特点,对该工艺在国内外实际工程中的应用作了介绍。     

注水残渣固化修路技术研究

针对注水残渣含碱量大,盐、油及其它杂质含量高,处理困难等特点,研究出注水残渣固化修路工艺技术。注水残渣固化后,既消除了污染源,保护了周围环境的土壤及地下水资源,又减少了土地占用面积,从而取得了显著的经济效益。     

青海共和盆地降尘观测与137Cs测定的初步结果

通过对1998～1999年共和盆地的降尘观测和尘样的¹³⁷Cs分析,测定了降尘速率及其月分配;对尘源进行了¹³⁷Cs示踪,并从理论上估算出降尘产生的¹³⁷Cs再分配,对沉积速率的计算模型进行了讨论.作为采用¹³⁷Cs法研究沙尘暴降尘的一次尝试,这些初步结果对沙尘暴测定及其强度评估等方面研究有一定的借鉴作用.     

汽车排气污染问题的探讨

本文主要研究了汽车排气对城市造成的污染危害，在对本市汽车保有量发展趋势现状调查的基础上，探讨了汽车排气污染问题的主要污染源和主要污染成分，以及汽车污染控制各个阶段的控制技术     

环境监测中的新工具--酶免疫检测技术

酶免疫检测技术，是根据抗原抗体反应具有高度的特异性，将酶标记物的抗体作为标准试剂来鉴定未知的抗原。ＥＩＡ技术是环境污染物筛选试验的良好工具，其与气相色谱。高效液相色谱结合，能极大地提高环境监测能力。将酶联免疫吸附检测试剂盒在环境监测中的应用结果，与ＧＣ，ＨＰＬＣ等传统分析方法相比，具有良好的相关性。     

SBR用于焦化废水生物处理的试验研究

采用SBR工艺对焦化废水的有机物降解和生物脱氮进行了研究。试验结果表明,焦化废水的生物脱氮是以短程硝化/反硝化的途径存在的,而且在好氧阶段存在同时硝化/反硝化(SND)过程。好氧阶段的反硝化效率约占整个反应周期脱氮效率的37.0%。SBR反应器对NH3N的去除效率在95.8%～99.2%,COD的去除率在85.3%～92.6%。由于出水中NO2N的积累,NO2N对COD浓度贡献值得关注。     

pH值对好氧颗粒污泥同步硝化反硝化过程的影响

从反应器脱氮性能和好氧颗粒污泥理化性状方面研究了pH值对好氧颗粒污泥同步硝化反硝化脱氮过程的影响.结果表明,好氧颗粒污泥微生态环境的形成,大大增强其耐酸碱冲击负荷能力,在pH值8～9范围内氨氮去除率均达到95%以上.在pH值6～9范围内,好氧颗粒污泥理化性状稳定,没有发生解体现象.     

循环流生物膜反应器同时硝化反硝化实验研究

研究了循环流软性填料生物膜反应器的同时硝化反硝化。实验结果表明,反应器中确实存在着同时硝化反硝化现象。考察了碳氮比(C/N)和溶解氧(DO)对同时硝化反硝化的影响。在进水COD和NH4+—N浓度为500mg/L、15mg/L时,出水COD、NH4+—N和TN浓度<50mg/L、3.0mg/L、4.5mg/L,COD去除率、硝化率和反硝化率分别达到90%、80%和70%。     

亚硝酸盐型同步脱氮除硫工艺单质硫产率及特性

采用SBR同步脱氮除硫反应器,设置了化学对照组(灭菌,不添加污泥)和生物试验组(添加污泥),以期研究亚硝酸盐型同步脱氮除硫工艺中S0的产率以及特性.发现化学对照组中NO2--N和S2--S的去除率最高可分别达到25.07％和62.26％,其主要产物为NH4+-N和S2SO32--S,并无S0生成.而在生物试验组中,NO...     

Effects of spatial autocorrelation and sampling design on estimates of protected area effectiveness

Estimating the effectiveness of protected areas (PAs) in reducing deforestation is useful to support decisions on whether to invest in better management of areas already protected or to create new ones. Statistical matching is commonly used to assess this effectiveness, but spatial autocorrelation and regional differences in protection effectiveness are frequently overlooked. Using Colombia as a case study, we employed statistical matching to account for confounding factors in park location and accounted for for spatial autocorrelation to determine statistical significance. We compared the performance of different matching procedures—ways of generating matching pairs at different scales—in estimating PA effectiveness. Differences in matching procedures affected covariate similarity between matched pairs (balance) and estimates of PA effectiveness in reducing deforestation. Independent matching yielded the greatest balance. On average 95% of variables in each region were balanced with independent matching, whereas 33% of variables were balanced when using the method that performed worst. The best estimates suggested that average deforestation inside protected areas in Colombia was 40% lower than in matched sites. Protection significantly reduced deforestation, but PA effectiveness differed among regions. Protected areas in Caribe were the most effective, whereas those in Orinoco and Pacific were least effective. Our results demonstrate that accounting for spatial autocorrelation and using independent matching for each subset of data is needed to infer the effectiveness of protection in reducing deforestation. Not accounting for spatial autocorrelation can distort the assessment of protection effectiveness, increasing type I and II errors and inflating effect size. Our method allowed improved estimates of protection effectiveness across scales and under different conditions and can be applied to other regions to effectively assess PA performance.