阿勒泰地区雾的气候特征与变化趋势及其对人体的影响研究

利用1961年-2012年阿勒泰地区气象观测资料,对雾的时空分布特征和变化趋势进行分析。结果表明:阿勒泰地区雾日数在时间分布上,初春的3月出现最多;冬季(12月-翌年2月)雾出现的比例最高,占37.6%。20世纪80年代年雾出现日数最多,2000年至今最少。阿勒泰地区雾日数在空间分布上也不是很均匀,区域性为西部的吉木乃、哈巴河县最多,东部的富蕴、青河县最少。阿勒泰地区雾出现日数年变化率与各县站的变化趋势一致,均呈明显的下降趋势,在1966年出现了减少的突变现象。R/S方法分析表明,各县站未来的年雾出现日数仍会呈减少趋势,雾天对人体有一定的影响。     

基于土壤气调查的废弃工业场地人体健康风险评估研究

土壤气采样和分析是蒸气侵入评估的一个常用的工具.以某废弃化工场地为研究区,采集污染区域10个点位处的土壤气（编号SG1至SG10）,并分析土壤气中的苯、乙苯、四氯化碳、三氯乙烯、四氯乙烯和三氯甲烷等挥发性有机物.根据测定的土壤气体浓度,结合Johnson ＆amp;Ettinger（J＆amp;E）侵入模型评估了该废弃场地土壤气中挥发性有机物侵入带来的人体健康风险.风险评估结果表明,SG5与SG6处非致癌风险指数大于1,而10个采样点位中有9个（除SG8处）的单一污染物可接受致癌风险均超过1.0E-6.相对于非致癌风险,致癌风险存在面更加广泛,同时程度也比较严重,在进行场地再开发之前需要考虑场地修复等风险管理措施.     

周期性的温度扰动对藻类群落结构演替的影响

为了研究水库生境扰动对藻类水华的作用机制,以中度扰动理论为基础,结合藻类群落生境选择学说和藻类生态功能组,开展了不同温度扰动周期、相同扰动幅度下藻类多样性变化特性和群落结构演替特征的室内控制实验.结果表明:1适度的扰动会促进藻类的生长且增加其多样性.中度扰动组Δ22℃/48 h藻类生物量最大,但多样性最高,不存在绝对占优藻种,而高频次扰动组Δ22℃/24 h生物多样性较小,但可降低藻类生物量.2温度的周期性变化对浮游藻类群落的演替有明显的影响,优势种也呈现一定的差异性.藻类优势功能组演替基本规律为:X_1(小球藻)→J(栅藻)→S_1(席藻)或X_2(衣藻),群落结构呈现出C/CR型藻类先行占优向R型演替的趋势.高温扰动频繁时,R型藻类(S_1)明显占优;无扰动或低扰动时,群落结构组成特点以C/R策略为主.适度的扰动组Δ22℃/48 h形成了多种生长策略的藻类共存的格局,且耐受高温胁迫的S策略藻类(L_0)开始出现.     

扰动对悬浮颗粒物粒径及上覆水中磷形态分布的影响

为了探讨底泥扰动下上覆水中悬浮物粒径分布规律及该分布规律对水体中溶解性形态磷的影响,以太湖梅梁湾上覆水和沉积物作为实验对象,开展室内模拟实验.结合乌氏粒级标准分析了扰动下的水体中粒径变化情况以及上覆水中不同磷形态的变化规律.结果表明,扰动后的水体中,悬浮物粒径分布发生明显变化,其中小粒径颗粒(0~10μm)、中粒径颗粒(10~20μm)、大粒径颗粒(≥20μm)的平均占比分别升高、降低、不变.说明中小粒径颗粒物质有向大粒径转化的趋势.另外,在磷形态方面,随着粒径分布的周期性变化,DTP/TP、DIP/TP存在同样的周期性上升规律,数据显示DTP、DIP的变化并不明显,这说明扰动导致悬浮颗粒物对于磷的持留能力提高.另一方面,扰动下DTP/TP和DIP/TP平均值分别为19%和13%,其远低于对照实验(80%和69%),说明扰动引起的小粒径聚集与絮凝成大粒径颗粒的现象有利于上覆水中溶解性形态磷的吸附与沉降,并转化成颗粒态磷,进而延缓水体富营养化的发展进程.     

骆马湖表层水体中32种PPCPs类物质的污染水平、分布特征及风险评估

为评价骆马湖水体中药品和个人护理品(PPCPs)的污染水平、空间分布特征及生态风险,利用高效液相色谱-串联质谱测定了骆马湖水体中22个采样点的32种PPCPs.结果表明,骆马湖表层水体中共检出了23种PPCPs,总浓度范围为892~1 536 ng·L~(-1),其中浓度最高的为诺氟沙星(256~707 ng·L~(-1)),其次是酮洛芬(85~438 ng·L~(-1))、安赛蜜(101~290 ng·L~(-1))及萘普生(1.9~112 ng·L~(-1)).不同采样位点的PPCPs浓度存在一定的空间差异,呈现湖东北部地区较高,西南部地区较低的趋势.房亭河入湖口处PPCPs浓度较高,嶂山闸出湖口处浓度较低.对13种药物类PPCPs生态风险评价结果表明,诺氟沙星RQs为0.26~0.72,对于骆马湖水生生态系统表现为中风险,吉非罗齐在大部分采样点RQs0.01,表现为低风险,其余的化合物RQs0.01未表现出生态环境风险.采用简单叠加模型计算PPCPs的联合毒性风险熵范围为0.29~0.75,整体上看,骆马湖PPCPs对于水生生物表现出中风险.对6种PPCPs的人体健康风险结果表明,RQs均小于1,表明骆马湖PPCPs对人体健康无直接风险.     

Human Dimensions of Forest Disturbance by Insects: An International Synthesis

Ecological disturbances of forests by insects have a complex array of associated human dimensions presenting complications for natural resource decision making and relationships between stakeholders and managers. This article discusses the human context of forest disturbances by insects by reviewing four cases of bark beetle forest disturbance from British Columbia in Canada, Bavarian Forest National Park in Germany, the Kenai Peninsula in Alaska, and the north central region of Colorado. Findings and lessons learned from these studies are outlined along with their implications for managing forest disturbances by insects in general. Conclusions focus on the need to assess the broad array of impacts and risks perceived by local residents and the capacity for local action and involvement in managing forest disturbances. Communication and interaction between resource managers and local stakeholders can facilitate the identification of management priorities and potentially reduce some of the risks associated with forest disturbances by insects.     

文思湖底泥COD释放规律模拟研究

采用室内模拟实验方法，研究环境因子（温度、pH、扰动强度、供气量）对底泥释放COD的影响。结果表明，水温升高能加速底泥中有机质的释放；上覆水在弱酸至中性条件下底泥释放有机质最低；扰动上覆水体会加快有机质的释放。     

接种微生物与人粪便同步连续投加对好氧堆肥效果的影响简

利用新型梨形筒式好氧堆肥反应器，在通风量为3.0 L/min，搅拌频率为5 min/h的条件下，就不接种微生物、接种土著菌种、枯草芽孢杆菌与酵母菌时人粪便连续投加好氧堆肥效果进行了对比。堆制20 d即2个运行周期中各堆体的温度、含水率、COD、总氮、pH值与GI等的变化表明，接种微生物可以显著提高堆体的升温速率与堆体平均温度、COD降解率、GI（P<0.01），堆肥可迅速达到完全腐熟。接种土著菌种效果最为明显（P<0.01），其后相继为枯草芽孢杆菌与酵母菌。接种土著菌种可使堆体温度在50℃以上维持18 d，第8天COD降解率达到61.17%、总氮损失率为25.75%，第6天时GI达到108.22%。     

Comparison of Stream Invertebrate Response Models for Bioassessment Metrics1

Waite, Ian R., Jonathan G. Kennen, Jason T. May, Larry R. Brown, Thomas F. Cuffney, Kimberly A. Jones, and James L. Orlando, 2012. Comparison of Stream Invertebrate Response Models for Bioassessment Metrics. Journal of the American Water Resources Association (JAWRA) 48(3): 570-583. DOI: 10.1111/j.1752-1688.2011.00632.x Abstract: We aggregated invertebrate data from various sources to assemble data for modeling in two ecoregions in Oregon and one in California. Our goal was to compare the performance of models developed using multiple linear regression (MLR) techniques with models developed using three relatively new techniques: classification and regression trees (CART), random forest (RF), and boosted regression trees (BRT). We used tolerance of taxa based on richness (RICHTOL) and ratio of observed to expected taxa (O/E) as response variables and land use/land cover as explanatory variables. Responses were generally linear; therefore, there was little improvement to the MLR models when compared to models using CART and RF. In general, the four modeling techniques (MLR, CART, RF, and BRT) consistently selected the same primary explanatory variables for each region. However, results from the BRT models showed significant improvement over the MLR models for each region; increases in R² from 0.09 to 0.20. The O/E metric that was derived from models specifically calibrated for Oregon consistently had lower R² values than RICHTOL for the two regions tested. Modeled O/E R² values were between 0.06 and 0.10 lower for each of the four modeling methods applied in the Willamette Valley and were between 0.19 and 0.36 points lower for the Blue Mountains. As a result, BRT models may indeed represent a good alternative to MLR for modeling species distribution relative to environmental variables.     

Global Effects of Local Human Population Density and Distance to Markets on the Condition of Coral Reef Fisheries

Coral reef fisheries support the livelihoods of millions of people but have been severely and negatively affected by anthropogenic activities. We conducted a systematic review of published data on the biomass of coral reef fishes to explore how the condition of reef fisheries is related to the density of local human populations, proximity of the reef to markets, and key environmental variables (including broad geomorphologic reef type, reef area, and net productivity). When only population density and environmental covariates were considered, high variability in fisheries conditions at low human population densities resulted in relatively weak explanatory models. The presence or absence of human settlements, habitat type, and distance to fish markets provided a much stronger explanatory model for the condition of reef fisheries. Fish biomass remained relatively low within 14 km of markets, then biomass increased exponentially as distance from reefs to markets increased. Our results suggest the need for an increased science and policy focus on markets as both a key driver of the condition of reef fisheries and a potential source of solutions. Efectos Globales de la Densidad de Población Humana Local y la Distancia a los Mercados sobre la Condición de Pesquerías en Arrecifes de Coral