利用废旧锌锰电池制备光催化剂净化甲苯

针对废旧锌锰电池回收利用难,以及光催化剂 TiO2活性低的问题,以废旧锌锰电池和商业二氧化钛为原料,通过球磨法制备了新型复合光催化剂.在紫外光灯照射下,进行了废旧锌锰电池复合改性TiO2对甲苯的光催化氧化实验,并重点探究空速、光照强度、相对湿度和氧气体积分数等关键实验条件对甲苯净化效率的影响.结果表明,改性后的催化剂对甲苯的净化能力大幅提高;当TiO2与废电池芯粉的质量比为2:1时,催化剂的催化效果最好,甲苯的净化效率提高了近45％;空速越大,催化剂对甲苯的净化效率越低;净化效率随光照强度的增加呈现先增加后保持不变的规律;催化剂在相对湿度为30％的条件下具有最佳的催化活性,氧气体积分数为15％时为净化效率达到最大.本研究结果可为废旧锌锰电池的回收利用提供新的思路.     

厌氧条件下砂壤水稻土N2、N2O、NO、CO2和CH4排放特征

了解厌氧条件土壤反硝化气体(N2、N2O和NO)、CO2和CH4排放特征,是认识反硝化过程机制的基础,并有助于制定合理的温室气体减排措施.定量反硝化产物组成,可为氮转化过程模型研发制定正确的关键过程参数选取方法或参数化方案.本研究选取质地相同(砂壤土)的两个水稻土为研究对象,通过添加KNO3和葡萄糖的混合溶液,将培养土壤的初始NO-3和DOC含量分别调节到50 mg·kg-1和300 mg·kg-1,采用氦环境培养-气体及碳氮底物直接同步测定方法,研究完全厌氧条件下土壤N2、N2O、NO、CO2和CH4的排放特征,并获得反硝化气态产物中各组分的比率.结果表明,在整个培养过程中,两个供试土壤的N2、N2O和NO累积排放量分别为6~8、20和15~18 mg·kg-1,这些气体排放量测定结果可回收土壤NO-3变化量的95%~98%,反硝化气态产物以N2O和NO为主,其中3种组分的比率分别为15%~19%(N2)、47%~49%(N2O)和34%~36%(NO);但反硝化气体产物组成的逐日动态均显现为从以NO为主逐渐过渡到以N2O为主,最后才发展到以N2为主.以上结果说明,反硝化气体产物组成是随反硝化进程而变化的,在以气体产物组成比率作为关键参数计算各种反硝化气体产生率或排放率的模型中,很有必要重视这一点.     

三峡库区小流域不同土地利用类型“土壤-水体”氮磷含量特征及其相互关系

利用长期田间监测数据,分析了三峡库区典型农业小流域不同土地利用类型土壤、浅层地下水氮磷含量分异特征,剖析了坡面土壤氮磷含量与浅层地下水、坡面地表径流氮磷浓度的相互关系.结果表明梯田的土壤TN平均含量显著(P0.05)高于坡耕地,水田梯田平均含量1.49 g·kg~(-1)最高;旱地坡耕地和桑树套种坡耕地土壤TP平均含量显著高于其它地类;旱地梯田土壤NO_3~--N平均含量最高,离散程度最大.坡面土地利用类型对浅层地下水TN、NO_3~--N浓度影响较大,但对TP浓度影响较小;流域浅层地下水TN浓度与NO_3~--N浓度呈极显著正相关,不同坡面浅层地下水NO_3~--N对TN平均贡献率在67.82%~78.51%之间;浅层地下水TN、NO_3~--N月平均浓度变化规律基本一致,春秋两季农作物施肥后均呈现明显上升趋势.坡面土壤TN平均含量与浅层地下水TN浓度呈显著指数关系,坡面土壤NO_3~--N平均含量与浅层地下水NO_3~--N浓度呈对数关系,但与坡面地表径流TN、NO_3~--N浓度无显著相关性;当坡面地表径流TP浓度0.1 mg·L~(-1)时,坡面土壤TP平均含量与其呈显著线性相关;坡面地表径流与浅层地下水TN、NO_3~--N浓度均呈显著幂函数关系,且NO_3~--N相关性更好.     

燃煤电厂烟塔合一排烟风洞试验与数值模拟对比分析

近年来,燃煤电厂烟塔合一烟气排烟对近距离环境影响的不确定性,使其在国内的推广过程受到一定限制。准确判断烟塔合一排烟的环境影响,对于我国现有燃煤电厂烟气污染物的排放有着巨大的工程价值和明显的现实意义。利用国家环境保护某重点实验室中风洞试验平台,对燃煤电厂烟塔合一烟气污染物在近距离的扩散和传输行为,进行物理风洞试验以及数值模拟计算,并进行对比分析。结果表明:德国Austal2000模式的浓度预测并不精确;数值风洞也有其差异性,而物理风洞的结果在很大程度上符合现有的理论及国内工程实际。     

Arsenic biotransformation and an arsenite S-adenosylmethionine methyltransferase in plankton

<正>Arsenic(As)is a well-recognized toxicant and carcinogen.Chronic exposure to inorganic arsenic causes a range of human cancers(e.g.,skin,bladder,and lung)and increases the risk of developing diabetes,hypertension,and cardiovascular and neurological diseases.The prevalence of arsenic species and the severity of their health effects continue to drive and demand for extensive research(Carlin et al.,2016).     

紫外分光光度法测定海水中石油类的不确定度评定

对紫外分光光度法测定海水中石油类浓度进行了不确定度评定。通过对标准溶液、标准工作曲线拟合、前处理过程等影响测定结果的不确定度分量进行分析,计算出测定结果的扩展不确定度,并找出影响该不确定度的主要因素。结果表明,紫外分光光度法测定海水中石油类浓度的不确定度的主要来源是实验中前处理过程的不确定度,本次实验所测海水中石油类浓度的不确定度报告为19.98±1.326 mg/L。     

Evaluating the technical efficiencies of fishing vessels to achieve effective management of overexploited fisheries

Global marine capture fisheries are undergoing serious stress, with overfishing as one of the major problems. In order to mitigate the overexploitation of capture fisheries, government regulation or fisheries management is necessary. Among various management approaches, vessel quantity control is being widely employed. To achieve effective governance of fisheries, the technical efficiency (TE) issue needs to be considered in the implementation of vessel quantity control. Using the Pacific saury (Cololabis saira) stick-held dip net fishery in Japan as a case study, this paper estimated the TE of sampled fishing vessels and explored the possible factors affecting the gap in efficiency. This paper aims to provide suggestions for a better implementation of vessel quantity control in global Pacific saury fishery, and also to serve as an empirical example of integrating TE analysis into management of overexploited fisheries for achieving satisfactory effects. Results show the TE score of the sampled fishery averaged around 0.7 from 2009 to 2014, and factors concerning owners/skippers’ motivation such as vessel ownership and specialization, vessel tonnage as well as skippers’ age show positive effects on the TE. Our findings in the present work provide important strategies for mitigating overexploitation in fisheries. Conducting technical efficiency analysis of targeted fisheries is a vital issue to be considered for designing and realizing an effective implementation of fisheries management approaches. The large vessels and the enthusiasm of vessel owners/skippers need to be particularly addressed when vessel quantity limit is considered to mitigate the problem of overfishing.     

Assessment of inherent vulnerability of forests at landscape level: a case study from Western Ghats in India

Assessment of vulnerability is an important step in building long-term resilience in the forestry sector. The objective of this paper is to present a methodological approach to assess inherent vulnerability of forests at landscape level. The approach involves use of vulnerability indicators, the pairwise comparison method, and geographic information system (GIS) tools. We apply this approach to assess the inherent vulnerability of forests of the Western Ghats Karnataka (WGK) landscape, which is a part of the Western Ghats biodiversity hotspot in India. Four vulnerability indicators, namely biological richness, disturbance index, canopy cover, and slope, are selected. We find that forests in 30, 36, 19, and 15 % grid points in this region show low, medium, high, and very high inherent vulnerability, respectively. The forest showing high and very high inherent vulnerability are mostly dry deciduous forests and plantations located largely on the eastern side of the landscape. We also find that canopy cover is one of the key indicators that determine the inherent vulnerability of forests, and natural forests are inherently less vulnerable than man-made plantations. Spatial assessment of inherent vulnerability of forests at landscape level is particularly useful for developing strategies to build resilience to current stressors and climate change in future.     

Climate change implications for the nest site selection process and subsequent hatching success of a green turtle population

Sandy beach habitat where sea turtles nest will be affected by multiple climate change impacts. Before these impacts occur, knowledge of how nest site selection and hatching success vary with beach microhabitats is needed to inform managers on how to protect suitable habitats and prepare for scientifically valid mitigation measures at beaches around the world. At a highly successful green turtle (Chelonia mydas) rookery at Akumal, Quintana Roo, Mexico, we measured microhabitat characteristics along the beach crawl (rejected sites) and related nest site conditions (selected sites) to subsequent hatching success rates for 64 nesting events. To our knowledge, this is the first study to report environmental data along the nesting crawl for a green turtle population and the first to use natural breaks in the data to describe their preferred habitat ranges. Our results indicate that turtles were likely using a combination of cues to find nest sites, mainly higher elevations and lower sand surface temperatures (Kruskal-Wallis test, H?=?19.84, p?<?0.001; H?=?10.78, p?<?0.001). Hatching success was significantly and negatively correlated to sand temperature at cloaca depth (Spearman’s ρ?=??0.27, p?=?0.04). Indeed, the preferred range for cloaca sand temperatures at the nest site (26.3–27.5 °C) had significantly higher hatching success rates compared to the highest temperature range (Tukey HSD?=?0.47, p?=?0.05). Sand temperatures at various depths were intercorrelated, and surface and cloaca depth sand temperatures were correlated to air temperature (ρ?=?0.70, p?=?0.00; ρ?=?0.26, p?=?0.04). Therefore, rising air temperatures could alter sand temperature cues for suitable nest sites, preferred nest site ranges, and produce uneven sex ratios or lethal incubating temperatures. Elevation cues and preferred ranges (1.4–2.5 m) may also be affected by sea level rise, risking inundation of nests.     

Vulnerability of agro-ecological zones in India under the earth system climate model scenarios

India being a developing economy dependent on climate-sensitive sector like agriculture is highly vulnerable to impacts of global climate change. Vulnerability to climate change, however, differs spatially within the country owing to regional differences in exposure, sensitivity, and adaptive capacity. The study uses the Hadley Centre Global Environment Model version 2-Earth System (HadGEM-ES) climate projections to assess the dynamics in vulnerability across four climate change exposure scenarios developed using Representative Concentration Pathways (RCPs). The analysis was carried out at subnational (district) level; the results were interpreted and reported for their corresponding agro-ecological zones. Vulnerability of each district was quantified using indicators capturing climatic variability, ecological and demographic sensitivity, and socio-economic capacity. Our analysis further assigns probabilities to vulnerability classes of all the 579 districts falling under different agro-ecological zones. The results of the vulnerability profile show that Western plains, Northern plains, and central highlands of the arid and semi-arid agro-ecological zones are the most vulnerable regions in the current scenario (1950–2000). In the future scenario (2050), it extends along districts falling within Deccan plateau and Central (Malwa) highlands, lying in the arid and semi-arid zones, along with regions vulnerable in the current scenario, recording the highest vulnerability score across all exposure scenarios. These regions exhibit highest degree of variation in climatic parameters, ecological fragility, socio-economic marginality, and limited accessibility to resources, generating conditions of high vulnerability. The study emphasizes on the priority to take up adaptive management actions in the identified vulnerable districts to not only reduce risks of climate change, but also enhance their inherent capacity to withstand any future changes in climate. It provides a systematic approach to explicitly identify vulnerable regions, where regional planners and policy makers can build on existing adaptation decision-making by utilizing an interdisciplinary approach in the context of global change scenario.