基于土地利用变化的四川省生态系统服务价值研究

认识和理解土地利用变化对生态系统服务价值的影响及相互作用关系具有重要意义。在分析国内外各种生态服务价值评价方法和对各类生态系统生态服务价值系数进行修正的基础上,采用生态系统服务价值评估模型、敏感性指数和价值变率模型,对各类生态系统的各项生态服务价值、土地利用变化对四川省生态系统服务价值的影响进行了计算和分析。结果表明：（1）四川省土地利用以林地和牧草地为主,1996~2006年耕地、未利用土地、牧草地和水域面积减少,林地、建设用地和园地面积呈增加趋势;（2）1996~2006年四川省生态系统服务价值由1996年的7 214588×108元上升到2006年的7 305018×108元,增加90431×108元,园地生态系统服务价值持续增加,而农田、牧草地、水域、未利用地则继续减少;（3）土地利用的生态服务价值区域差异显著,空间上呈现西多东少的分布格局,西部高山高原区和盆周山区的生态系统服务价值总量较大,成都平原和四川盆地丘陵区所提供的较少;（4）四川省生态系统服务价值缺乏弹性,价值变率反映林地面积的变化对研究区生态系统服务价值的变化具有较大影响     

Noncovalent immobilization of manganese peroxidases from P. chrysosporium on carbon nanotubes

Manganese peroxidases (MnP) from Phanerochaete chrysosporium were adsorbed onto multi-walled carbon nanotubes (MWNT). Four different loadings of MnP on MWNTs were investigated, and the maximum enzyme loading of 47.5 μg/mg of MWNTs was obtained in 12 h. The adsorbed MnP showed a catalytic activity of up to 0.1 U/mg of the weight of the system of MnP/MWNTs, with 23% of its original activity retained. The AFM image of the adsorbed enzymes indicated that a layer of MnP covered the surface of the MWNTs and retained its original three-dimensional shape. Amino-based nonspecific interactions may play the dominant role in the adsorption of MnP on MWNTs.     

化学消毒的中和剂对水中内毒素活性检测的影响

本研究选取化学消毒的常用6种中和剂组氨酸、甘氨酸、抗坏血酸、吐温80、亚硫酸钠和硫代硫酸钠,采用动态浊度鲎试验定量检测样品中内毒素活性,研究中和剂在不同浓度范围内单独使用对内毒素活性检测的影响,旨在优选出适于鲎法检测细菌内毒素的中和剂种类,确定合适的浓度范围.结果表明在0~1.0%浓度范围内,除了甘氨酸和硫代硫酸钠之外,组氨酸、抗坏血酸、吐温80、亚硫酸钠(碱性和中性)均对鲎试验结果有不同程度的干扰,都不能在鲎试验之前作为化学消毒的中和剂.虽然0~1.0%浓度的甘氨酸对鲎试验结果基本无明显影响,但是甘氨酸和戊二醛的中和产物显黄色,所以不适于在光度法鲎试验中用作戊二醛的中和剂.0~1.0%浓度的硫代硫酸钠对鲎试验结果基本无明显干扰,但是当浓度升高至1.0%~5.0%时会对鲎试验结果有一定的抑制作用.与组氨酸、甘氨酸、抗坏血酸、吐温80和亚硫酸钠相比,硫代硫酸钠更适于在内毒素活性检测之前用作消毒剂的中和剂,但是浓度应控制在0.5%范围以内.     

活性炭负载MnO_x结合等离子体降解甲苯

通过对比Mn Ox/AC、AC、无催化剂对甲苯的去除率和副产物的浓度,得知Mn Ox能大大提高甲苯去除率和降低副产物浓度。实验同时研究了负载量、煅烧温度和载体活性炭的活化对甲苯去除率的影响,实验表明:20%Mn Ox负载经过850℃活化的活性炭在350℃下煅烧得到的催化剂的活性最高。试验用BET、XRD和红外对催化剂进行了表征,研究发现,经过活化的催化剂比表面积高于没有活化的催化剂,随着负载量的增加比表面积降低,温度为250℃时硝酸锰主要分解为Mn2O3,温度为350℃时主要分解产物为Mn3O4,温度为450℃时主要为Mn O。红外表明反应后的催化剂表面氧化基团增加。     

写字楼中的"不良气体"办公室工作环境调查

一种被称为“办公室综合症”的都市疾病正在困扰脑力劳动者。而且或明或暗,于无形或有形中,从“朝九”到“晚五”,它们总会找机会入侵办公室里的人,侵蚀他们的身体和心灵。     

Study on dust–gas coupling pollution law and selection of optimal purification distance of air duct during tunneling process

During the excavation of high gas mine, gas and dust often exist at the same time. In order to ensure that the gas concentration remains within a safe range and minimize the risk of workers’ pneumoconiosis, we simulated the interaction mechanism of airflow, gas, and dust, explored the pollution law of gas and dust, and obtained the optimal purification distance (L_p) by the CFD method. The reliability of the numerical simulation was verified by field measurements. Firstly, the properties of the gas and dust affected the structure of the airflow field. At the same time, the change in the airflow field affected the concentration distributions of the gas and dust. During the diffusion process, some high-risk regions in which the gas or dust concentrations exceeded 0.80% or 200 mg/m³, respectively, were discovered. Moreover, we have found that the airflow velocity in the top region of the tunnel and at the intersection corner between the cutting face and tunnel wall was the main factor affecting the purification effects. When L_p = 5–8 m, the gas concentration remained below 0.50%. When L_p = 6 m, the dust concentration reached a minimum of 287.5 mg/m³. Therefore, the optimal purification distance was determined to be 6 m; in which case, the gas and dust concentrations decreased by 32.84% and 47.02%, respectively.

     

Mn-Ce复合金属氧化物催化氧化甲苯性能

通过等体积浸渍法制备了一系列Mn-Ce/γ-Al₂O₃催化剂, 并考察不同CeO₂负载量对MnO₂/γ-Al₂O₃催化剂催化氧化甲苯性能的影响。利用XRD、N₂吸脱附曲线、TEM、H₂-TPR、XPS和O₂-TPD等方法表征催化剂比表面积、表面形貌及氧化还原性能。结果表明,CeO₂的负载一定程度上降低了MnO₂/γ-Al₂O₃催化剂的比表面积, 且催化剂仍保持介孔结构。CeO₂的存在增加了催化剂表面的化学吸附氧含量,其良好的储放氧能力促进了Mn³⁺向Mn⁴⁺的转化;Mn和Ce之间存在较强的协同作用, 与MnO_x相邻的CeO₂更容易打开Ce—O键释放活性氧, 加速氧化还原进程,Mn_0.6Ce_0.4/γ-Al₂O₃催化剂T₁₀和T₉₀与MnO₂/γ-Al₂O₃催化剂相比分别降低20和40 ℃。本研究可为VOCs催化氧化技术中低成本金属催化剂的开发提供参考。     

Effects of green spaces on alleviating mortality attributable to PM2.5 in China

Environmental Science and Pollution Research - Increasing research suggested that green spaces are associated with many health benefits, but evidence for the quantitative relationship between green...     

Atmospheric deposition of phthalate esters in a subtropical city

In Chinese cities, air pollution has become a serious and aggravating environmental problem undermining the sustainability of urban ecosystems and the quality of urban life. Bulk atmospheric deposition samples were collected two-weekly, from February 2007 to January 2008, at three representative areas, one suburban and two urbanized, in the subtropical city, Guangzhou, China, to assess the deposition fluxes and seasonal variations of phthalate esters (PAEs). Sixteen PAE congeners in bulk deposition samples were measured and the depositional fluxes of ∑₁₆PAEs ranged from 3.41 to 190 μg m^?2 day^?1, and were highly affected by local anthropogenic activities. The significant relationship between PAEs and particulate depositional fluxes (correlation coefficient R² = 0.72, P < 0.001) showed PAEs are associated primarily with particles. Temporal flux variations of PAEs were influenced by seasonal changes in meteorological parameters, and the deposition fluxes of PAEs were obviously higher in wet season than in dry season. Diisobutyl phthalate (DiBP), Di-n-butyl phthalate (DnBP), and Di(2-ethylhexyl) phthalate (DEHP) dominated the PAE pattern in bulk depositions, which is consistent with a high consumption of the plasticizer market in China. PAE profiles in bulk deposition showed similarities exhibited in both time and space, and a weak increase of high molecular weight PAE (HMW PAE) contribution in the wet season compared to those in the dry season. Average atmospheric deposition fluxes of PAEs in the present study were significantly higher than those from other studies, reflecting strong anthropogenic inputs as a consequence of rapid industrial and urban development in the region.     

Simulating chemistry–aerosol–cloud–radiation–climate feedbacks over the continental U.S. using the online-coupled Weather Research Forecasting Model with chemistry (WRF/Chem)

The chemistry–aerosol–cloud–radiation–climate feedbacks are simulated using WRF/Chem over the continental U.S. in January and July 2001. Aerosols can reduce incoming solar radiation by up to ?9% in January and ?16% in July and 2-m temperatures by up to 0.16 °C in January and 0.37 °C in July over most of the continental U.S. The NO₂ photolysis rates decrease in July by up to ?8% over the central and eastern U.S. where aerosol concentrations are high but increase by up to 7% over the western U.S. in July and up to 13% over the entire domain in January. Planetary boundary layer (PBL) height reduces by up to ?23% in January and ?24% in July. Temperatures and wind speeds in July in big cities such as Atlanta and New York City reduce at/near surface but increase at higher altitudes. The changes in PBL height, temperatures, and wind speed indicate a more stable atmospheric stability of the PBL and further exacerbate air pollution over areas where air pollution is already severe. Aerosols can increase cloud optical depths in big cities in July, and can lead to 500–5000 cm^?3 cloud condensation nuclei (CCN) at a supersaturation of 1% over most land areas and 10–500 cm^?3 CCN over ocean in both months with higher values over most areas in July than in January, particularly in the eastern U.S. The total column cloud droplet number concentrations are up to 4.9 × 10⁶ cm^?2 in January and up to 11.8 × 10⁶ cm^?2 in July, with higher values over regions with high CCN concentrations and sufficient cloud coverage. Aerosols can reduce daily precipitation by up to 1.1 mm day^?1 in January and 19.4 mm day^?1 in July thus the wet removal rates over most of the land areas due to the formation of small CCNs, but they can increase precipitation over regions with the formation of large/giant CCN. These results indicate potential importance of the aerosol feedbacks and an urgent need for their accurate representations in current atmospheric models to reduce uncertainties associated with climate change predictions.