经济快速增长区土地利用变化对土壤质量影响研究

以苏锡常地区具有典型性的原锡山市不同土地利用类型和不同时间的土壤取样点为研究对象,从时空转换角度分析土地利用变化对土壤质量的影响. 结果表明,1980—1995年,苏锡常地区土地利用结构变动速率为0.59;1995—2000年,苏锡常地区土地利用结构变动速率增加为0.74. 统计分析和独立样本t检验结果表明:1982—2005年原锡山市pH降低0.58,w(有机质)降低1.02 g/kg,w(全氮)降低0.16 g/kg,w(全磷)降低0.48 g/kg,w(速效氮)降低7.63 mg/kg,w(速效磷)增加26.16 mg/kg,w(速效钾)增加36.9 mg/kg,土壤含水率降低0.52%,土壤的相对质量指数降低3.06;在不同土地利用方式下,土壤质量各指标的变化具有明显的差异性.      

"十一五"脱硫计划实施前后长三角地区的硫沉降变化

采用RAINS ASIA模型研究了"十一五"期间长三角地区实施脱硫措施前后硫沉降超临界负荷的变化.结果表明,在90%保证率下,长三角地区硫沉降的临界负荷(以S计,下同)总值为78.38万t/a;2005年该地区硫沉降的超临界负荷总值为27.98万t/a,有45.6%区域面积的硫沉降超过临界负荷;如果不实施脱硫措施,到2010年长三角地区硫沉降超临界负荷的情景将急剧恶化,硫沉降超临界负荷总值将增长18.4%,超临界负荷的区域面积将增加到48.7%;"十一五"脱硫计划如期实施后,2010年长三角地区硫沉降超临界负荷总值将在2005年的基础上下降27.4%,但仍有39.1%的区域面积超过临界负荷,须采取更严格的措施控制硫沉降量.     

喀斯特石漠化的研究现状与存在的问题

喀斯特石漠化是土地荒漠化的主要类型之一。喀斯特生态系统的脆弱性决定了喀斯特生态系统的易损性和退化喀斯特生态系统的难恢复性,但它与发生石漠化并没必然的联系,喀斯特石漠化是岩溶生态系统退化的结果,而不是喀斯特生态系统脆弱性的必然表现。故所指的喀斯特石漠化,特指人为加速的石漠化,属于人为荒漠化的一种类型,但强调喀斯特石漠化的人为成因性,并不是否定自然背景对喀斯特生态系统的制约作用。石漠化土地的分类既要能反映出石漠化发生的严重程度,也要能体现石漠化土地的成因和岩性地貌等地质背景对生态学过程的影响,因此,作者提出以“土地利用类型+植被+岩性+地貌+石漠化程度”对人为加速石漠化过程中石漠化土地进行类型划分,以正确评价石漠化土地的生态环境价值。     

长三角空气质量区域预报准确性评估方法研究

根据长三角空气质量区域预报工作的实际需要,对分区文字预报和落区图预报两种方式分别制定了不同的空气质量指数级别预报准确性评估方法。分区文字预报根据设定的预报准确性判定方法计算预报评分,落区图预报按区域内预报准确城市占比进行准确率统计。分区文字预报结果显示,2017年长三角区域的预报准确天数占比为62.2%,预报评分为70.2,区域预报评估效果良好。落区图预报评估结果显示,预报级别偏差具有地域性差异,安徽北部、江苏北部和江西中北部预报等级偏高,长三角中南部沿海城市预报等级偏低。该套评估方法可为区域空气质量预报偏差成因分析提供依据,为区域预报工作的改进提供定量参考。     

Eco-Environmental Degradation in the Source Region of the Yellow River, Northeast Qinghai-Xizang Plateau

The Yellow River is the second longest river in China and the cradle of the Chinese civilization. The source region of the Yellow River is the most important water holding area for the Yellow River, about 49.2% of the whole runoff comes from this region. However, for the special location, it is a region with most fragile eco-environment in China as well. Eco-environmental degradation in the source region of the Yellow River has been a very serious ecological and socially economic problem. According to census data, historical documents and climatic information, during the last half century, especially the last 30 years, great changes have taken place in the eco-environment of this region. Such changes are mainly manifested in the temporal-spatial changes of water environment, deglaciation, permafrost reduction, vegetation degeneracy and desertification extent, which led to land capacity decreasing and river disconnecting. At present, desertification of the region is showing an accelerating tendency. This paper analyzes the present status of eco-environment degradation in this region supported by GIS and RS, as well as field investigation and indoor analysis, based on knowledge, multi-source data is gathered and the classification is worked out, deals with their natural and anthropogenic causes, and points out that in the last half century the desertification and environmental degradation of this region are mainly attributed to human activities under the background of regional climate changes. To halt further degradation of the environment of this region, great efforts should be made to use land resources rationally, develop advantages animal agriculture and protect the natural grassland.     

Characterization and Identification of the Sources of Chromium, Zinc, Lead, Cadmium, Nickel, Manganese and Iron in Pm10 Particulates at the Two Sites of Kolkata, India

Monitoring of ambient PM₁₀ (particulate matter which passes through a size selective impactor inlet with a 50% efficiency cut-off at 10 μm aerodynamic diameter) has been done at residential (Kasba) and industrial (Cossipore) sites of an urban region of Kolkata during November 2003 to November 2004. These sites were selected depending on the dominant anthropogenic activities. Metal constituents of atmospheric PM₁₀ deposited on glass fibre filter paper were estimated using Inductively Coupled Plasma Atomic Emission Spectrometer (ICP-AES). Chromium (Cr), zinc (Zn), lead (Pb), cadmium (Cd), nickel (Ni), manganese (Mn) and iron (Fe) are the seven toxic trace metals quantified from the measured PM₁₀ concentrations. The 24 h average concentrations of Cr, Zn, Pb, Cd, Ni, Mn and Fe from ninety PM₁₀ particulate samples of Kolkata were found to be 6.9, 506.1, 79.1, 3.3, 7.4, 2.4 and 103.6 ng/m³, respectively. The 24 h average PM₁₀ concentration exceeded national ambient air quality standard (NAAQS) as specified by central pollution control board, India at both residential (Kasba) and industrial (Cossipore) areas with mean concentration of 140.1 and 196.6 μg/m³, respectively. A simultaneous meteorology study was performed to assess the influence of air masses by wind speed, wind direction, rainfall, relative humidity and temperature. The measured toxic trace metals generally showed inverse relationship with wind speed, relative humidity and temperature. Factor analysis, a receptor modeling technique has been used for identification of the possible sources contributing to the PM₁₀. Varimax rotated factor analysis identified four possible sources of measured trace metals comprising solid waste dumping, vehicular traffic with the influence of road dust, road dust and soil dust at residential site (Kasba), while vehicular traffic with the influence of soil dust, road dust, galvanizing and electroplating industry, and tanning industry at industrial site (Cossipore).     

Status of the Riparian Ecosystem in the Upper San Pedro River, Arizona: Application of an Assessment Model

A portion of Arizona’s San Pedro River is managed as a National Riparian Conservation Area but is potentially affected by ground-water withdrawals beyond the conservation area borders. We applied an assessment model to the Conservation Area as a basis for monitoring long-term changes in riparian ecosystem condition resulting from changes in river water availability, and collected multi-year data on a subset of the most sensitive bioindicators. The assessment model is based on nine vegetation bioindicators that are sensitive to changes in surface water or ground water. Site index scores allow for placement into one of three condition classes, each reflecting particular ranges for site hydrology and vegetation structure. We collected the bioindicator data at 26 sites distributed among 14 reaches that had similar stream flow hydrology (spatial flow intermittency) and geomorphology (channel sinuosity, flood-plain width). Overall, 39% of the riparian corridor fell within condition class 3 (the wettest condition), 55% in condition class 2, and 6% in the driest condition class. Condition class 3 reaches have high cover of herbaceous wetland plants (e.g., Juncus and Schoenoplectus spp.) along the perennial stream channel and dense, multi-aged Populus-Salix woodlands in the flood plain, sustained by shallow ground water in the stream alluvium. In condition class 2, intermittent stream flows result in low cover of streamside wetland herbs, but Populus-Salix remain abundant in the flood plain. Perennial wetland plants are absent from condition class 1, reflecting highly intermittent stream flows; the flood plain is vegetated by Tamarixa small tree that tolerates the deep and fluctuating ground water levels that typify this reach type. Abundance of herbaceous wetland plants and growth rate of Salix gooddingii varied between years with different stream flow rates, indicating utility of these measures for tracking short-term responses to hydrologic change. Repeat measurement of all bioindicators will indicate long-term trends in hydro-vegetational condition.     

基于自动种子区域生长的火焰分割算法

在存在壁面反射的低照度火灾环境中,传统的火焰分割算法如颜色分割、运动检测等,在进行火焰分割时造成过分割现象,分割的效果不理想,影响后续的火灾正确识别。针对上述问题,提出了一种基于自动种子区域生长(Automatic Seeded Region Growing,ASRG)的火焰分割算法。首先将从火灾视频中获取的火灾图像从RGB颜色空间转换到YCbCr颜色空间,在Y通道中采用较大自适应阈值背景减法将火灾图像二值化,分别将可疑火焰像素点的横坐标和纵坐标按大小进行排序,取排序后的中间值作为种子点,再由原RGB火灾图像转换而成的灰度图像中,以该种子点进行区域生长,最后将区域生长后的火焰分割图像与采用较小自适应阈值背景减法得到的火焰分割图像进行交集处理,得到最终的火焰分割图像。实验表明ASRG算法在存在壁面反射的低照度火灾环境中,火焰分割效果好,有效解决了该环境下的火焰过分割问题,同时在其他火灾环境中也有较好的火焰分割效果。     

Features of fatal injuries in older cyclists in vehicle–bicycle accidents in Japan

Objective: The purpose of this study was to identify and better understand the features of fatal injuries in cyclists aged 75 years and over involved in collisions with either hood- or van-type vehicles.

Methods: This study investigated the fatal injuries of cyclists aged 75 years old and over by analyzing accident data. We focused on the body regions to which the fatal injury occurred using vehicle–bicycle accident data from the Institute for Traffic Accident Research and Data Analysis (ITARDA) in Japan. Using data from 2009 to 2013, we examined the frequency of fatally injured body region by gender, age, and actual vehicle travel speed. We investigated any significant differences in distributions of fatal injuries by body region for cyclists aged 75 years and over using chi-square tests to compare with cyclists in other age groups. We also investigated the cause of fatal head injuries, such as impact with a road surface or vehicle.

Results: The results indicated that head injuries were the most common cause of fatalities among the study group. At low vehicle travel speeds for both hood- and van-type vehicles, fatalities were most likely to be the result of head impacts against the road surface.

The percentage of fatalities following hip injuries was significantly higher for cyclists aged 75 years and over than for those aged 65–74 or 13–59 in impacts with hood-type vehicles. It was also higher for women than men in the over-75 age group in impacts with these vehicles.

Conclusions: For cyclists aged 75 years and over, wearing a helmet may be helpful to prevent head injuries in vehicle-to-cyclist accidents. It may also be helpful to introduce some safety measures to prevent hip injuries, given the higher level of fatalities following hip injury among all cyclists aged 75 and over, particularly women.     

2013-2017年京津冀区域PM2.5浓度变化特征

利用2013-2017年京津冀区域13个城市PM_2.5监测数据,综合探讨了该区域PM_2.5浓度的时空变化特征。结果表明：京津冀区域PM_2.5污染整体较重,但治理成效显著,2013-2017年区域PM_2.5年均质量浓度分别为106、93、77、71、64 μg/m³,完成《大气污染防治行动计划》PM_2.5浓度下降25%左右的目标;13个城市PM_2.5浓度各百分位数总体呈现下降趋势,且随百分位数增大而下降速率加大,PM_2.5年均质量浓度平均每年下降10.6 μg/m³,污染严重的太行山沿线城市邢台、石家庄、邯郸3个城市平均每年分别下降20.3、16.1、13.9 μg/m³;京津冀区域PM_2.5重度污染天数比例分别为19.9%、16.6%、9.5%、9.0%、7.0%,呈下降趋势。2013-2017年京津冀区域PM_2.5平均质量浓度与非重度污染天相比升高19 μg/m³,PM_2.5重度污染天平均质量浓度较非重度污染天时高244.4%。