NO在分子筛ZSM-5催化剂上催化氧化动力学研究

研究了常温下NO在疏水型高硅分子筛ZSM-5上的氧化反应. 结果发现,NO在分子筛ZSM-5表面氧化的同时,伴随着明显的吸附过程,待吸附饱和后释放出NO2.相比于活性炭,高硅分子筛ZSM-5上NO氧化受水汽影响较小,303K饱和湿气下,NO稳态转化率只比干气下降低6%.在排除内、外扩散影响的条件下,于等温积分反应器中研究了稳定阶段NO氧化的本征动力学,根据不同温度下X~W/FA0及NO分压数据,计算了反应速率,建立简化的动力学模型并获得了反应速率方程,结果表明其拟合复相关系数较高.     

Scaling range sizes to threats for robust predictions of risks to biodiversity

Assessments of risk to biodiversity often rely on spatial distributions of species and ecosystems. Range‐size metrics used extensively in these assessments, such as area of occupancy (AOO), are sensitive to measurement scale, prompting proposals to measure them at finer scales or at different scales based on the shape of the distribution or ecological characteristics of the biota. Despite its dominant role in red‐list assessments for decades, appropriate spatial scales of AOO for predicting risks of species’ extinction or ecosystem collapse remain untested and contentious. There are no quantitative evaluations of the scale‐sensitivity of AOO as a predictor of risks, the relationship between optimal AOO scale and threat scale, or the effect of grid uncertainty. We used stochastic simulation models to explore risks to ecosystems and species with clustered, dispersed, and linear distribution patterns subject to regimes of threat events with different frequency and spatial extent. Area of occupancy was an accurate predictor of risk (0.81<|r|<0.98) and performed optimally when measured with grid cells 0.1–1.0 times the largest plausible area threatened by an event. Contrary to previous assertions, estimates of AOO at these relatively coarse scales were better predictors of risk than finer‐scale estimates of AOO (e.g., when measurement cells are <1% of the area of the largest threat). The optimal scale depended on the spatial scales of threats more than the shape or size of biotic distributions. Although we found appreciable potential for grid‐measurement errors, current IUCN guidelines for estimating AOO neutralize geometric uncertainty and incorporate effective scaling procedures for assessing risks posed by landscape‐scale threats to species and ecosystems.     

Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity

Passive acoustic monitoring could be a powerful way to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from recordings can be prohibitively time consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data and are increasingly used to characterize biological communities. We examined the relationship between acoustic indices and the diversity and abundance of biological sounds in recordings. We reviewed the acoustic‐index literature and found that over 60 indices have been applied to a range of objectives with varying success. We used 36 of the most indicative indices to develop a predictive model of the diversity of animal sounds in recordings. Acoustic data were collected at 43 sites in temperate terrestrial and tropical marine habitats across the continental United States. For terrestrial recordings, random‐forest models with a suite of acoustic indices as covariates predicted Shannon diversity, richness, and total number of biological sounds with high accuracy (R² ≥ 0.94, mean squared error [MSE] ≤170.2). Among the indices assessed, roughness, acoustic activity, and acoustic richness contributed most to the predictive ability of models. Performance of index models was negatively affected by insect, weather, and anthropogenic sounds. For marine recordings, random‐forest models poorly predicted Shannon diversity, richness, and total number of biological sounds (R² ≤ 0.40, MSE ≥ 195). Our results suggest that using a combination of relevant acoustic indices in a flexible model can accurately predict the diversity of biological sounds in temperate terrestrial acoustic recordings. Thus, acoustic approaches could be an important contribution to biodiversity monitoring in some habitats.     

Effects of age and sex ratios on offspring recruitment rates in translocated black rhinoceros

Success of animal translocations depends on improving postrelease demographic rates toward establishment and subsequent growth of released populations. Short‐term metrics for evaluating translocation success and its drivers, like postrelease survival and fecundity, are unlikely to represent longer‐term outcomes. We used information theory to investigate 25 years of data on black rhinoceros (Diceros bicornis) translocations. We used the offspring recruitment rate (ORR) of translocated females—a metric integrating survival, fecundity, and offspring recruitment at sexual maturity—to detect determinants of success. Our unambiguously best model (AICω = 0.986) predicted that ORR increases with female age at release as a function of lower postrelease adult rhinoceros sex ratio (males:females). Delay of first postrelease reproduction and failure of some females to recruit any calves to sexual maturity most influenced the pattern of ORRs, and the leading causes of recruitment failure were postrelease female death (23% of all females) and failure to calve (24% of surviving females). We recommend translocating older females (≥6 years old) because they do not exhibit the reproductive delay and low ORRs of juveniles (<4 years old) or the higher rates of recruitment failure of juveniles and young adults (4–5.9 years old). Where translocation of juveniles is necessary, they should be released into female‐biased populations, where they have higher ORRs. Our study offers the unique advantage of a long‐term analysis across a large number of replicate populations—a science‐by‐management experiment as a proxy for a manipulative experiment, and a rare opportunity, particularly for a large, critically endangered taxon such as the black rhinoceros. Our findings differ from previous recommendations, reinforce the importance of long‐term data sets and comprehensive metrics of translocation success, and suggest attention be shifted from ecological to social constraints on population growth and species recovery, particularly when translocating species with polygynous breeding systems.     

Biodegradability and compostability of polymers—test methods and criteria for evaluation

The treatment of solid waste in controlled composting facilities is an important possibility for reducing garbage. Natural and synthetic polymeric materials can be used for many purposes, for example, as packaging materials, where compostability is required. A prerequisite for official regulations and the decision as to which materials may be composted is investigations on their biodegradability and the quality of the compost produced. Several standardization groups at the ISO, CEN, and DIN are developing definitions, test methods, and classification systems for differentiating compostable from noncompostable materials. The concept which will be standardized and used in Germany is described in detail. It includes characterization of the test material, determination of the biodegradability using laboratory tests such as simple aquatic batch tests and a controlled aerobic composting test, investigation of the disintegration of the test material in industrial or bench-scale composting facilities, and finally, chemical and ecotoxicological analysis of the compost produced.     

5B—1型COD快速测定仪测试污水中COD

本文通过对废水中ＣＯＤ的两种分析方法的对比实验， 结果表明： 用仪器法测废水中的ＣＯＤ， 方法简便， 节约能耗， 数据准确， 比用普通的化学法更为实用， 适合于大批量的废水检测。     

磷化铝生产废气的治理

论述了磷化铝生产废气的治理工艺、吸收剂选择及填料塔主要设计参数。水、液碱均可以作为吸收剂。以水为吸收剂,塔底出液pH<1时可用石灰乳中和后循环使用;当液碱作为吸收剂时P2O5被NaOH溶液吸收,当循环液中磷酸盐浓度较高时,可用来制作混合肥。     

在BOD_5分析中水样稀释比确定方法的研究

通过理论推理 ,提出在BOD5分析测试时一种确定废水稀释倍数的方法。方法简便可靠 ,理论性强 ,具有实际意义和推广价值     

BOD_5测定中的反推取样法

根据 BOD5测定中的最佳状态 ,推导出 BOD5测定中的取样量公式 ,并结合实际检测结果确定了使用本公式的误差范围 ,指出了本方法尤其适用于有数据积累的污水常规监测及实验室内质控样的分析     

环境监理工作思路必须转变

拓宽和深化环境监理工作的思路，必须使环境监理由某环节向全过程监理转变，由重点向全方位监理转变，由静态向动态监理转变，由被动向主动监理转变，由劳动密集型向科技型转变，由执法型向执法服务型监理转变，由独立向联合监理转变，由封闭型向开放型监理转变。