滚石灾害研究现状及发展趋势

滚石是我国西部山区常见的一种地质灾害,它分布范围极广,发生突然,频率高,严重威胁其周围的人类以及各种构筑物.目前,国内外有关滚石的理论研究比较薄弱,以致滚石灾害的防治工作受到严重的影响.基于对国内外大量滚石灾害研究资料的分析,将其研究现状概化为滚石风险分析、滚石运动轨迹、滚石冲击力以及滚石防护等4个方面.据此对滚石研究的发展趋势进行了探讨,以便为滚石灾害的机理研究和治理提供参考依据.     

洪灾对柳州可持续发展的影响及减灾对策

通过对柳州市洪灾特点的分析,探讨了洪灾对柳州市经济、社会可持续发展的制约作用,提出洪灾的治理必须走可发展的道路,采用工程措施和非工程措施相结合的对策。     

内乡-镇平4.7级地震及震后应急

内乡 -镇平 4 7级地震 ,是河南省解放以来唯一一次造成人员伤亡的地震事件。本文对这次地震的震害及烈度进行了考察评定 ,总结了有关部门的震后应急措施 ,讨论了从这次地震中应吸取的经验教训。     

连续流动注射间接测定空气中的五氧化二磷

建立连续流动注射间接测定空气中五氧化二磷的方法。空气中的五氧化二磷用过氯乙烯滤膜或滤筒采样,加入去离子水反应生成正磷酸,过滤、洗涤、定容后运用连续流动注射仪进行测定。优化了抗坏血酸浓度、硫酸浓度、钼酸盐浓度以及恒温室温度等影响显色的因素。最佳条件下,实际样品五氧化二磷加标回收率为96.0%~102%,相对标准偏差在4%以下;采样体积为300 L时,方法检出限为0.001 6 mg/m~3。t检验结果表明,所建方法与现行国标法的测定结果无显著性差异。方法分析速度快、重现性好、灵敏度高,适用于空气中五氧化二磷的测定。     

Distribution,sources, and ecological risk assessment of SVOCs in surface sediments from Guan River Estuary,China

The contamination of semi-volatile organic compounds (SVOCs) in the surface sediments of the Guan River Estuary, China was fully investigated. Total concentrations of 56 species of SVOCs ranged from 132 to 274 ng/g with an average of 186 ng/g (dry weight). Polycyclic aromatic hydrocarbon (PAH) concentrations were positively correlated with clay content and negatively correlated with sediment grain size. Source identification indicated that PAHs originated mainly from pyrolytic sources. However, intense ship traffic in the estuary may provide sources of petrogenic PAHs. Organochlorine pesticides (OCPs) mainly originated from direct input of dichlorodiphenyltrichloroethanes (DDTs) during some industrial processes. The SVOC concentrations were also compared with International Sediments Quality Guidelines and Sediments Quality Criteria, and the results indicated that negative biological impacts may originate from high concentrations of FLO, p,p′-DDE, and total DDTs.     

Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks

China maintains the largest artificial forest area in the world. Studying the dynamic variation of forest biomass and carbon stock is important to the sustainable use of forest resources and understanding of the artificial forest carbon budget in China. In this study, we investigated the potential of Landsat time series stacks for aboveground biomass (AGB) estimation in Yulin District, a key region of the Three-North Shelter region of China. Firstly, the afforestation age was successfully retrieved from the Landsat time series stacks in the last 40 years (from 1974 to 2013) and shown to be consistent with the surveyed tree ages, with a root-mean-square error (RMSE) value of 4.32 years and a determination coefficient (R ²) of 0.824. Then, the AGB regression models were successfully developed by integrating vegetation indices and tree age. The simple ratio vegetation index (SR) is the best candidate of the commonly used vegetation indices for estimating forest AGB, and the forest AGB model was significantly improved using the combination of SR and tree age, with R ² values from 0.50 to 0.727. Finally, the forest AGB images were mapped at eight epochs from 1985 to 2013 using SR and afforestation age. The total forest AGB in seven counties of Yulin District increased by 20.8 G kg, from 5.8 G kg in 1986 to 26.6 G kg in 2013, a total increase of 360 %. For the persistent forest area since 1974, the forest AGB density increased from 15.72 t/ha in 1986 to 44.53 t/ha in 2013, with an annual rate of about 0.98 t/ha. For the artificial forest planted after 1974, the AGB density increased about 1.03 t/ha a year from 1974 to 2013. The results present a noticeable carbon increment for the planted artificial forest in Yulin District over the last four decades.     

青岛市主干道沿线高层建筑的交通噪声研究

采用A计权网络对青岛市东西快速路沿线高层建筑进行监测。利用Grapher软件,以Leq为监测值的基准值绘制连续线状图,分析城市主干道周边高层建筑上交通噪声的峰值点。根据道路中心线到高层建筑的距离信息,得出高层建筑交通噪声峰值点与道路中心线的连线与水平地面间的角度约为30°。     

盲样考核浓度预判及稀释方法——以原子荧光法测定水中砷为例

以原子荧光法测定水中砷为例,探讨了实验室盲样考核浓度预判及稀释方法.分析了3个砷盲样考核实例,归纳了“直接稀释法”“系列稀释法”“最大稀释法”3种方法,分别适用于盲样浓度范围窄、适中、宽3种情况,检测人员可根据考核机构给定的浓度范围合理选用.     

颗粒物对污染源COD水质在线监测仪比对监测的影响

污水中的颗粒物是COD在线监测仪在比对监测时出现较大误差的原因之一,就颗粒物对COD在线监测仪是否产生影响以及影响效果进行了实验研究。研究结果表明,COD在线监测仪的预处理系统去除颗粒物会带来比对监测的误差,并且随着颗粒物浓度增加,误差增大;预处理系统过滤器尺寸也会对比对监测的误差产生影响,针对同一浓度水样,孔径越大误差越小,针对同一孔径过滤器则水样浓度越高误差越小。     

Mapping afforestation and deforestation from 1974 to 2012 using Landsat time-series stacks in Yulin District, a key region of the Three-North Shelter region, China

The Three-North Shelter Forest Program is the largest afforestation reconstruction project in the world. Remote sensing is a crucial tool to map land use and land cover change, but it is still challenging to accurately quantify the change in forest extent from time-series satellite images. In this paper, 30 Landsat MSS/TM/ETM+ epochs from 1974 to 2012 were collected, and the high-quality ground surface reflectance (GSR) time-series images were processed by integrating the 6S atmosphere transfer model and a relative reflectance normalization algorithm. Subsequently, we developed a vegetation change tracking method to reconstruct the forest change history (afforestation and deforestation) from the time-series Landsat GSR images based on the integrated forest z-score (IFZ) model by Huang et al. (2009a), which was improved by multi-phenological IFZ models and the smoothing processing of IFZ data for afforestation mapping. The mapping result showed a large increase in the extent of forest, from 380,394 ha (14.8 % of total district area) in 1974 to 1,128,380 ha (43.9 %) in 2010. Finally, the land cover and forest change map was validated with an overall accuracy of 89.1 % and a kappa coefficient of 0.858. The forest change time was also successfully retrieved, with 22.2 % and 86.5 % of the change pixels attributed to the correct epoch and within three epochs, respectively. The results confirmed a great achievement of the ecological revegetation projects in Yulin district over the last 40 years and also illustrated the potential of the time-series of Landsat images for detecting forest changes and estimating tree age for the artificial forest in a semi-arid zone strongly influenced by human activities.