水坝建设影响下澜沧江中游沉积物重金属形态分析及污染指数研究

采集了漫湾库区和大朝山库区25个采样断面的沉积物样品.每个库区均从上游到下游分为河流区、过渡区和湖泊区,研究了沉积物中As、Cd、Cr、Cu、Mn、Ni、Pb、Zn元素的含量和赋存形态差异,利用次生相与原生相分布比值法(RSP)分析重金属元素的污染水平.结果表明,各库区从上游到下游沉积物中的重金属元素和碳氮元素均呈现出增加的趋势,而沉积物的中值粒径呈现出减小的趋势.漫湾库区的As、Cd、Zn元素平均含量均高于大朝山库区;大朝山库区的Cr、Mn、Ni、Pb元素平均含量均高于漫湾库区.在重金属赋存形态中,Cd和Mn元素以可交换态和残渣态为主;Cu、Pb以有机质态和残渣态为主;其余重金属元素均以残渣态为主.沉积物中的可交换态在有机碳的络合作用下转化成有机质态.在水坝建设的影响下沉积物中细颗粒和有机质含量明显上升,重金属在细颗粒物和有机质的共同作用下蓄积于坝前的沉积物中.PSR分析结果表明,在水坝运行影响下,各库区湖泊区和过渡区的污染水平均高于河流区.其中,Cd元素所有地区处于重度污染水平;Mn和Pb大部分区域处于中度污染水平;Cu元素大部分区域处于轻度污染水平;其余元素基本无污染.     

海河流域河流氮污染特征及其演变趋势

收集海河流域重点水功能区主要监测站点2000—2011年总氮(TN)、氨氮(NH+4-N)、硝氮(NO-3-N)、亚硝氮(NO-2-N)指标的历史数据,并且实测2009年350个样点的氮素指标,以探明海河流域河流氮污染特征及其演变趋势.结果表明,海河流域氮污染现状严重,2011年TN、NH+4-N、NO-3-N和NO-2-N的平均浓度分别为7.92、4.25、1.28、0.013 mg·L-1,TN、NH+4-N超地表水V类水质标准现象严重(2.0 mg·L-1),其中海河干流水系、北三河(北运河、潮白河、蓟运河)水系和子牙河水系污染较重.在空间尺度上,海河流域氮污染沿山区-平原方向呈现出明显逐渐上升的变化特征.在时间尺度上,TN与NH+4-N浓度变化均在2005年与2011年出现峰值,TN浓度与NH+4-N、NO-3-N、NO-2-N浓度呈现极显著正相关(p0.01),NH+4-N是海河流域氮污染的主要污染因子.2000—2011年,NH+4-N劣V类(2.0 mg·L-1)站点比例整体上表现为减少趋势,由2000年的28.87%降为2011年的17.56%,劣V类站点NH+4-N浓度均值由2000年的7.91 mg·L-1降为2011年的6.50mg·L-1.在海河流域中,黑龙港运东水系、子牙河水系河流NH+4-N污染较重,各年平均浓度均超过地表水V类水质标准,NH+4-N平均浓度呈现随年份逐渐降低的趋势.在海河流域氮污染整体表现为好转的趋势下,氮污染的现状仍然严峻,需加强控制.     

石羊河流域降水化学特征时空变化及来源浅析

运用相关分析、因子分析、富集因子和HYSPLIT模型对石羊河流域从2013年7月到2014年7月连续收集降水样品的主要离子浓度特征及来源进行了探讨分析,结果表明,Ca~(2+)和Na~+是主要的阳离子,SO_4~(2-)和NO_3~-是主要的阴离子,石羊河流域的主要降水类型为SO_4~(2-)-NO_3~--Ca~(2+);石羊河流域的总离子浓度的季节大小变化顺序为冬季春季秋季夏季,石羊河流域的降水水化学主要受地壳源和人为源的影响;石羊河流域的降水类型分为季风降水、西风降水和混合降水,而混合降水是石羊河流域的主要降水类型,其次为西风降水,最后为季风降水。     

降水梯度序列下柠条林地土壤养分的空间变异

通过野外实地调查结合室内分析,研究陕西省境内不同降雨条件下的黄土高原同级树龄柠条林地土壤养分。结果表明,研究区土壤养分含量低,养分中有机质和全氮在降水梯度上的空间变异性显著;有机质和全氮含量在土壤剖面上表现为随着土层的加深逐渐减少,全磷含量在土壤剖面上表现为从表层到心土层逐渐降低,从心土层到底层逐渐增加;全钾含量在剖面上的规律与有机质和全氮相反;有机质、全氮、全磷、全钾含量均随着降水梯度的增加而增加;有机质含量与全氮、全钾呈现极显著正相关,与全磷呈现显著正相关关系。     

上海市西部郊区PM2.5污染状况及影响因素

通过2014年上海市西部郊区PM2.5的浓度变化分析了该地区的PM2.5污染分布状况,并且从温度、湿度和风向等方面讨论了PM2.5浓度与气象因子的关联性.结果表明:该地区2014全年超标天数有112天,超标率为30.7％,PM2.5月均浓度呈夏低冬高的趋势状态,并且PM2.5浓度与气象条件有密切的联系.该地区气温在5～15℃、湿度在60～70％时PM2.5浓度最高;在以东风为主导风盛行时,该地区PM2.5浓度较低,而在以西风为主导风盛行时,该地区易受到周边区域的高污染因素影响,形成PM2.5高浓度累积现象.     

长江口及其邻近海域沉积物磷的赋存形态和空间分布

采用SMT磷分级法研究长江口及其邻近海域沉积物中磷的赋存形态及分布特征,并探讨了其影响因子.研究结果表明,沉积物中总磷(TP)含量为476.91~980.04μg·g~(-1),有机磷(OP)含量为15.84~139.21μg·g~(-1);而无机磷(IP)为主要赋存形态,其含量为421.67~844.86μg·g~(-1),约占TP 72.9%~96.7%.IP中以钙结合态磷(HCl-P)为主,其含量为186.88~431.69μg·g~(-1),占IP的42.3%~57.79%;而铁/锰结合态磷(Na OH-P)的含量最少,其含量为4.17~52.76μg·g~(-1),仅占IP的2.0%~3.3%.空间分布上,不同形态磷含量具有明显的时空变化特征.夏季TP和IP的含量由咸水端到淡水端呈现出先降低后升高,冬季则先升高后降低的趋势.OP的含量在夏季时无明显分布规律,而在冬季时表现出由咸水端到淡水端降低的趋势.Na OH-P含量在冬夏季均表现为淡水端处较高;HCl-P含量在夏季无明显的变化规律,而冬季时近淡水端处较高.沉积物粒径大小影响磷的赋存形态,表现为夏季粘粒对OP影响较大;冬季粘粒和粉粒与IP存在着负相关性,与OP存在着显著的正相关性.此外,沉积物总有机碳、盐度和碱性磷酸酶活性也是影响磷赋存形态的主要因子.     

梁子湖沉积物重金属污染现状分析及风险评价

采集了梁子湖柱状沉积物,分析了Cd、Sn、As、Cu、V、Zn、Ni、Cr、Co、TI、Pb和Mo 12种重金属元素的含量及空间分布,并对其污染源进行解析,最后对重金属的生态风险作出评价.结果表明,在空间分布上,东部湖区存在严重的重金属污染问题,其中,Cd的平均含量达到0.80 mg·kg~(-1),是湖北省土壤背景值的4.66倍;Sn和As平均含量分别为6.35 mg·kg~(-1)和35 mg·kg~(-1),已经超过湖北省土壤背景值近2倍;在垂直分布上,Cd和Zn在0~20 cm深度上富集现象明显,平均含量分别为0.67 mg·kg~(-1)和116 mg·kg~(-1).富集系数EF值表明,Cd、Sn、As主要来自人为污染.单一重金属潜在生态风险指数Eri值范围在3~140之间,以Cd污染最严重,Eri平均值为140,表现为较重生态风险,其他11种元素均为低等生态风险水平.综合生态风险指数RI值显示,梁子湖整体处于中度污染水平,其中,东部湖区风险程度最大.梁子湖作为武汉市备用水源地,沉积物重金属Cd、Sn、As含量过高将威胁湖水质量,危及水生态安全和人体健康.     

A spatial approach to combatting wildlife crime

Poaching can have devastating impacts on animal and plant numbers, and in many countries has reached crisis levels, with illegal hunters employing increasingly sophisticated techniques. We used data from an 8‐year study in Savé Valley Conservancy, Zimbabwe, to show how geographic profiling—a mathematical technique originally developed in criminology and recently applied to animal foraging and epidemiology—can be adapted for use in investigations of wildlife crime. The data set contained information on over 10,000 incidents of illegal hunting and the deaths of 6,454 wild animals. We used a subset of data for which the illegal hunters’ identities were known. Our model identified the illegal hunters’ home villages based on the spatial locations of the hunting incidences (e.g., snares). Identification of the villages was improved by manipulating the probability surface inside the conservancy to reflect the fact that although the illegal hunters mostly live outside the conservancy, the majority of hunting occurs inside the conservancy (in criminology terms, commuter crime). These results combined with rigorous simulations showed for the first time how geographic profiling can be combined with GIS data and applied to situations with more complex spatial patterns, for example, where landscape heterogeneity means some parts of the study area are less likely to be used (e.g., aquatic areas for terrestrial animals) or where landscape permeability differs (e.g., forest bats tend not to fly over open areas). More broadly, these results show how geographic profiling can be used to target antipoaching interventions more effectively and more efficiently and to develop management strategies and conservation plans in a range of conservation scenarios.     

Rank aggregation of local expert knowledge for conservation planning of the critically endangered saola

There has been much recent interest in using local knowledge and expert opinion for conservation planning, particularly for hard‐to‐detect species. Although it is possible to ask for direct estimation of quantities such as population size, relative abundance is easier to estimate. However, an expert's knowledge is often geographically restricted relative to the area of interest. Combining (or aggregating) experts’ assessments of relative abundance is difficult when each expert only knows a part of the area of interest. We used Google's PageRank algorithm to aggregate ranked abundance scores elicited from local experts through a rapid rural‐appraisal method. We applied this technique to conservation planning for the saola (Pseudoryx nghetinhensis), a poorly known bovid. Near a priority landscape for the species, composed of 3 contiguous protected areas, we asked groups of local people to indicate relative abundances of saola and other species by placing beans on community maps. For each village, we used this information to rank areas within the knowledge area of that village for saola abundance. We used simulations to compare alternative methods to aggregate the rankings from the different villages. The best‐performing method was then used to produce a single map of relative abundance across the entire landscape, an area larger than that known to any one village. This map has informed prioritization of surveys and conservation action in the continued absence of direct information about the saola.     

A multiscale hierarchical Markov transition matrix model for generating and analyzing thematic raster maps

A model is described for generating hierarchically scaled spatial pattern as represented in a thematic raster map. The model involves a series of Markov transition matrices, one for each level in the scaling hierarchy. In full generality, the model allows the transition matrices to be different at each level, potentially making available a large number of parameters for landscape characterization. The model is self-similar when the transition matrices are all equal. A method is presented for fitting the model to data that take the form of a single-resolution thematic raster map. Explicit analytic solutions are obtained for the fitted parameters. The fitting method is based on a relationship between the hierarchical transitions in the model and spatial transitions at varying distance scales in the data map, a categorical analogy of the geostatistical variogram.