近15a江苏省水源涵养功能时空变化与影响因素探析

定量评估生态系统服务功能是合理利用自然资源、促进人地关系与可持续发展的基础。以江苏省为研究区,基于InVEST模型产水模块,定量分析了江苏省2000~2015年产水功能和水源涵养功能的时空变化特征,并采用回归分析和主成分分析法评估了水源涵养功能与社会经济要素之间的关系。结果表明：（1）江苏省多年平均产水量为571×108 m³/a,水源涵养总量78.39×108 m³/a;（2）2000~2010年江苏省水源涵养功能呈下降趋势,2010~2015年有所回升,考虑到降水因素,江苏省实际水源涵养功能持续降低;（3）土地利用变化使15a来水源涵养功能下降15.2×108 m³,降低幅度为16.9%;（4）流域尺度上水源涵养功能与江苏社会经济因素相关关系不显著。研究结果可以为土地利用优化、流域水资源管理提供科学参考和支持。     

齐齐哈尔市PM2.5与PM10污染趋势及相关性分析

对2014—2016年齐齐哈尔市PM_(2.5)与PM_(10)质量浓度的时间变化特征进行简要分析,并探究PM_(2.5)/PM_(10)以及PM_(2.5)与PM_(10)的相关性。结果表明:2014—2016年齐齐哈尔的PM_(2.5)与PM_(10)的年均质量浓度分别为36.7、62.9μg/m~3,且呈逐渐下降趋势;冬季的PM_(2.5)与PM_(10)浓度最高,秋季次之,春季与夏季相对较低;2014—2016年PM_(2.5)与PM_(10)质量浓度月变化趋势基本相同,整体呈现2—6月逐渐下降,9—11月逐渐上升的规律;PM_(2.5)与PM_(10)质量浓度的日变化均呈双峰现象;对PM_(2.5)与PM_(10)进行线性拟合,相关系数为0.896 3。同时,残差分析也说明两者拟合情况良好,四季相关系数为r_(秋季)(0.982 2)r_(冬季)(0.964 4)r_(夏季)(0.943 9)r_(春季)(0.829 6);2014—2016年PM_(2.5)/PM_(10)平均值为55.27%,大气颗粒物PM_(2.5)的贡献率高达一半以上。     

矿化垃圾中的微生物区系与酶活性变化特征研究

选择某市郊城市生活垃圾填埋场为研究对象,对填埋时间分别达6、8、10年的矿化垃圾中的微生物区系与酶活性变化特征进行了比较。结果表明,表层(0～50 cm)和底层(100～150 cm)矿化垃圾中的微生物数量和酶活性变化幅度大于中层(50～100cm);填埋达6、8、10年后的各层矿化垃圾中的细菌数量明显低于对照,放线菌数量则明显高于对照,而真菌数量在表层和中层中高于对照或与对照相当,在底层则低于对照,各层中的脲酶、碱性磷酸酶、碱性磷酸酶活性则明显高于对照或与对照相当;总体来说,相同填埋深度的矿化垃圾中,填埋达6～8年的细菌、真菌、放线菌数量和脲酶、碱性磷酸酶、酸性磷酸酶活性的变化幅度要大于填埋8～10年的,且均在填埋8～10年趋于稳定。     

东湖典型区域间隙水中营养盐的时空分布

以富营养化程度严重的浅水湖泊东湖为研究对象,通过持续采样调查,分析并比较了3个典型采样点柱状沉积物间隙水中营养盐的垂直分布和季节变化特征,结果表明东湖沉积物间隙水中营养盐浓度最高值一般出现在-5 cm以上,-5～-10 cm之间有一个快速降低的过程,-10～-26 cm之间趋于稳定,但也有小幅的波动;冬季间隙水中营养盐浓度明显低于其他季节,夏秋两季略高。分析认为沉积物间隙水中营养盐浓度受附近污染源直接影响较大,与上覆水水质有一定相关性,但不显著。间隙水中营养盐的季节变化主要因为冬季污染排放减少加速了间隙水中营养盐向上覆水的扩散、减少了水中营养盐在沉积物表层的沉积,以及温度降低导致微生物活动减少进而降低了有机物的矿化分解量。并且认为常规疏浚深度就可以有效移除东湖表层污染严重的沉积物     

1994~2006年上海市土地利用时空变化特征及驱动力分析

快速发展的都市地区是区域土地利用变化研究热点。基于上海市1994、2000、2003和2006年4期航空遥感影像资料数据,运用人机交互目视解译方法建立上海土地利用空间数据库,并结合GIS空间分析、数理统计方法与土地利用动态度模型,对上海市1994~2006年土地利用时空变化特征进行了深入分析。结果表明：12 a间,上海市综合土地利用动态度为207%;在各种用地变化中,耕地面积变化最大,共减少了94 00772 hm2,减幅达233%;从耕地转移来看,转变为城镇建设用地（包括工业仓储用地、交通用地、城镇居民点用地和其他用地）面积共74 82586 hm2,占耕地面积总流出量的6712%;可见城镇建设用地急剧扩张而大量占用耕地,是上海市土地利用变化的主要特征;上海市土地利用变化的另一个重要特征是城市绿地的大幅增加,12 a间城市绿地面积共增加了9 29241 hm2,单一动态度为1876%。从上海土地利用变化的区域特征来看,各区的综合土地利用动态度差异明显,且表现出明显的中心城区-近郊-远郊递减趋势,其中浦东新区综合土地利用动态度最大,崇明县最小,这种差异与各区（县）的区位条件、经济发展状况以及政策等因素密切相关。通过对上海LUCC的驱动力定性定量分析表明,社会经济因素包括人口分布及变化、经济增长、人民生活水平的提高、政策以及国际大型活动的举办均对上海土地利用格局及其变化产生了重要的影响     

Temporal and geographical genetic variation in the amphipod Melita plumulosa (Crustacea: Melitidae): Link of a localized change in haplotype frequencies to a chemical spill

Anthropogenic effects such as contamination affect the genetic structure of populations. This study examined the temporal and geographical patterns of genetic diversity among populations of the benthic crustacean amphipod Melita plumulosa in the Parramatta River (Sydney, Australia), following an industrial chemical spill. The spill of an acrylate/methacrylate co-polymer in naphtha solvent occurred in July 2006. M. plumulosa were sampled temporally between December 2006 and November 2009 and spatially in November 2009. Genetic variation was examined at the mitochondrial cytochrome c oxidase subunit I locus. Notably, nucleotide diversity was low and Tajima’s D was significantly negative amongst amphipods collected immediately downstream from the spill for 10 months. We hypothesize that the spill had a significant localized effect on the genetic diversity of M. plumulosa. Alternate explanations include an alternate and unknown toxicant or a localized sampling bias. Future proposed studies will dissect these alternatives.     

江苏阳澄湖螺类群落的空间分布格局

2008年1月～2009年10月对江苏阳澄湖螺类群落结构进行了季节调查研究。共采集到螺类4科5属6种,优势种为铜锈环棱螺,次优种为长角涵螺。阳澄湖螺类平均密度为220±47 ind./m2,平均生物量为2331±469 g/m2,螺类密度和生物量在年际和季节间均无明显差异,但群落结构存在显著的空间变化,密度在东湖区和中华绒螯蟹围网养殖区较大、西湖区最小,生物量围网养殖区最高、西湖区最低;铜锈环棱螺密度围网养殖区最高、西湖区最低,长角涵螺密度东湖区最高、围网养殖区次之、入湖河流及其它湖区极低。中华绒螯蟹养殖未导致围网养殖区螺类数量下降,螺类（主要是铜锈环棱螺）的投放可能是该区螺类密度、生物量及铜锈环棱螺所占比例较高的主要原因之一。逐步回归分析表明,水深是影响螺类群落整体密度和生物量空间分布差异的主要因子;典型对应分析（CCA）表明,铜锈环棱螺主要分布在叶绿素a较高的水域,而长角涵螺和纹沼螺则主要分布在透明度较大的地方     

Atmospheric bulk deposition of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) in the vicinity of an iron and steel making plant

An IRA-743 resin bulk sampler was validated to monitor long-term bulk deposition of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs). Six consecutive sampling campaigns (2008-2009) were conducted at four sites around steel complexes in Pohang, South Korea to investigate spatial and seasonal variations of PCDD/F bulk deposition. The bulk deposition within the steel complex showed the highest ∑_4-8PCDD/F (Tetra-Octa) fluxes, ranging from 204 to 608 (mean: 352) pg m⁻² d⁻¹, indicating steel complexes were major sources of PCDD/Fs. The homologue profiles were dominated with lower chlorinated PCDFs. Furthermore, the prevailing winds were confirmed to influence the spatial distribution of PCDD/F deposition. There were apparent seasonal variations of the bulk deposition at each site, and seasonal homologue patterns of PCDD/Fs were clearly observed. According to the passive air sampling, however, no significant seasonal change of ambient air concentrations of PCDD/Fs was observed. Therefore, it was concluded that the seasonal variations of deposition fluxes of PCDD/Fs probably resulted from temperature-dependent gas/particle partitioning.     

Rapid genetic erosion in pollutant-exposed experimental chironomid populations

Few studies have evaluated how effectively environmental contamination may reduce genetic diversity of a population. Here, we chose a laboratory approach in order to test if tributyltin (TBT) exposure at environmentally relevant concentrations leads to reduced genetic variation in the midge Chironomus riparius. Two TBT-exposed and two unexposed experimental populations were reared simultaneously in the laboratory for 12 generations. We recorded several life-history traits in each generation and monitored genetic variation over time using five variable microsatellite markers. TBT-exposed strains showed increased larval mortality (treatments: 43.8%; controls: 27.8%), slightly reduced reproductive output, and delayed larval development. Reduction of genetic variation was strongest and only significant in the TBT-exposed strains (treatments: −45.9%, controls: −24.4% of initial heterozygosity) after 12 generations. Our findings document that chemical pollution may lead to a rapid decrease in genetic diversity, which has important implications for conservation strategies and ecological management in polluted environments.     

Spatio-temporal characteristics of PM10 concentration across Malaysia

The recurrence of forest fires in Southeast Asia and associated biomass burning, has contributed markedly to the problem of trans-boundary haze and the long-range movement of pollutants in the region. Air pollutants, specifically particulate matter in the atmosphere, have received extensive attention, mainly because of their adverse effect on people's health. In this study, the spatial and temporal variability of the PM10 concentration across Malaysia was analyzed by means of the rotated principal component analysis. The results suggest that the variability of the PM10 concentration can be decomposed into four dominant modes, each characterizing different spatial and temporal variations. The first mode characterizes the southwest coastal region of the Malaysian Peninsular with the PM10 showing a peak concentration during the summer monsoon i.e. when the winds are predominantly southerlies or southwesterlies, and a minimal concentration during the winter monsoon. The second mode features the region of western Borneo with the PM10 exhibiting a concentration surge in August–September, which is likely to be the result of the northward shift of the Inter Tropical Convergence Zone (ITCZ) and the subsequent rapid arrival of the rainy season. The third mode delineates the northern region of the Malaysian Peninsular with strong bimodality in the PM10 concentration. Seasonally, this component exhibits two concentration maxima during the late winter and summer monsoons, as well as two minima during the inter-monsoon periods. The fourth dominant mode characterizes the northern Borneo region which exhibits weaker seasonality of the PM10 concentration. Generally, the seasonal fluctuation of the PM10 concentration is largely associated with the seasonal variation of rainfall in the country. However, in addition to this, the PM10 concentration also fluctuates markedly in two timescale bands i.e. 10–20 days quasi-biweekly (QBW) and 30–60 days lower frequency (LF) band of the intra-seasonal timescales. These intra-seasonal fluctuations show strong seasonality with the largest fraction of variance occurring during the boreal summer and the weakest variance during the winter. Generally, the LF intra-seasonal oscillation is stronger compared to the QBW intra-seasonal band.