长江口及邻近海域富营养化趋势分析及与环境因子关系

依据2007-2009年春、夏季在长江口及邻近海域（包括长江口、杭州湾和舟山渔场）的调查监测资料,采用富营养指数法、潜在性富营养化法和有机污染指数法对该海域的富营养化状况、时空分布特征及与环境因子的关系进行了分析评价。富营养指数法计算结果表明：富营养化覆盖比例很高,达到70%以上;在春季,该海域的富营养化程度呈现上升趋势,所占比例从2007年的77.0%上升到2009年的89.8%,在夏季最低达到89.3%,最高到100.0%。3年来,富营养化在春、夏2季基本上处于逐年增加趋势,富营养化趋势越来越明显。在春季富营养指数平面分布呈由近岸向远海逐渐递减的趋势,梯度分布明显,其中,杭州湾富营养化情况较严重;夏季其平面分布与春季类似,但长江口和杭州湾两个水域的富营养指数的等值线都比较密集,夏季的富营养化情况较为严重。潜在性富营养化法计算结果表明：该海域富营养级主要集中在III级（富营养）和V P级（磷中等限制潜在性富营养）;春、夏2季时,长江口V P级所占比例均从0.0%增加到66.7%,受磷限制性富营养化程度越来越高。另外,营养盐结构显示,N/P比值从9.1到50.9,营养盐比例明显不平衡,势必影响浮游生物的生长。有机污染指数法计算结果表明：该海域有机污染指数主要处于5级（重污染）,水质污染严重;长江口春、夏2季5级的比例均从50.0%分别上升到83.3%和100.0%,杭州湾分别从60.0%和80.0%均上升到100.0%;舟山渔场分别从22.2%和66.7上升到66.7%和77.7%,说明受污染程度逐年上升。另外,3年来春、夏2季长江口有机污染指数达5级的占50%以上,杭州湾60%以上,舟山渔场20%以上,杭州湾受污染情况最为严重,其次是长江口,舟山渔场最小。在春、夏2季有机污染平面分布表现为污染程度从西向东、从北向南逐渐降低?     

在线加湿条件下开放源类微粒子排放数学模型的建立

利用实验室微粒子控制模拟试验装置,采用粉体物料自由下落溢出随机粉尘的试验方法,研究了在线加湿条件下开放源类粉体物料自由下落过程中微粒子排放特性;在一定动力因素条件下,探讨了微粒子含量、质量流量、含水率、样品种类、空气相对湿度、加湿流量和加湿压力等因素对开放源物料中微粒子排放率的影响;通过数学归纳和模型化处理,建立了在线加湿条件下开放源类粉体物料自由下落过程中大气微粒子排放率的数学模型;并对所建立的数学模型进行了优化. 结果表明,模型计算值与试验值基本一致.      

不同油类对虾蟹类幼体的胁迫效应

了解不同油类对虾蟹类幼体的急性毒性效应。曝油处理采用磁力搅拌器搅拌,一定时间的超声波乳化等操作,模拟溢油在海洋中风浪、涡动、湍流的乳化过程;设置阶梯浓度组,并在多个平行组急性试验的基础上,估算出8种油品对2种虾类和2种蟹类的半致死质量浓度LC50和安全质量浓度MPC,并运用程序编制溢油质量浓度与虾蟹类死亡率相关性的估算模型。经过分析,结果得到：各MPC值参差不齐,差距较大;燃料油普遍比原油的毒性效应大;相同生长阶段,蟹类比虾类抗油毒害性强、中国明对虾Fenneropenaeuschinensis比日本囊对虾Marsupenaeusjaponicus抗油毒害性强、锯缘青蟹Scyllaserrata比三疣梭子蟹Portunustrituberculatu抗油毒害性强。编制的溢油质量浓度与死亡率相关性的评估模型,简易方便直观,为渔业污染事故理赔提供了一定的参考价值,亦为海域的生态经济学评估提供了一种新的研究方法。     

Integrated Estimation of the Effect of Physical Factors on Human Functional State During Mental Work

The purpose of this study was to develop a model for an integrated estimation of the functional state of the human organism (FSHO) and an integral estimation of physical factors (PF) for hygienic rating. Tests were performed twice with 3 men in 0.7-clo clothing during 4-hr mental work with 9 combinations of 4 PF: wideband noise (55–83 dB(A)), whole-body vibration (6 Hz, a_z = 0.2–1.8 ms^?2), air temperature (18–30 °C), and illumination (1, 3, 5 lx). Thermoregulatory, cardiovascular, and psychophysiological reactions and temporary threshold of hearing (TTS₂) shifts were studied. For the integral estimation of PF influence on FSHO the model F(y₁, y₂, ... y_m) = f(x₁, x₂, ... x_n) was used, relating both FSHO and PF sets. The most important physiological parameters in creating FSHO are defined and the contribution of individual parameters of FSHO and PF is found.     

燃煤发电职业危害暴露健康负担评价方法*

为评估煤电行业从业人员因遭受职业危害暴露引起的健康负担大小,根据工作暴露矩阵法对燃煤发电职业暴露程度进行估算,利用健康效应分析和伤残调整寿命年指标构建燃煤发电职业暴露健康负担评价体系,实现职业暴露健康负担的量化评价。将所构建的评价体系应用于3个燃煤电厂进行对比分析,结果表明:各类危害因素中,粉尘所致健康危害最大,人均健康负担约为8.861 a;各生产环节中,运输煤系统所致健康影响最大,约占整个生产过程的45.53%。     

虎林湿地变化造成农业损失的估算

自50年代初至2001年,50年来虎林市境内以平原沼泽型为主的湿地面积损失了三分之二,引起灾害性气候增加,造成了一定程度的农业损失,文章通过公式计算得出了农业损失值。     

土地非农化生态价值损失估算

随着城镇化、工业化的快速推进,我国城乡建设用地快速扩展使农用地保护面临巨大挑战,从经济机制上防止土地过度非农化尤为重要.该文对土地非农化生态价值损失过程机制进行了理论探索,建立了价值损失估算方法,并以江汉平原为例进行案例分析.研究表明:单纯的市场机制没有考虑土地非农化造成的生态价值损失,无法实现土地资源最佳配置,非农化规模偏大;土地非农化生态价值损失巨大,1987-2010年江汉平原因此累计损失73 692.11万元,人均承担49.25元;不同类型土地的生态价值损失强度有所差异,每公顷的自然保留地、水域、林地、草地、耕地非农化价值损失分别为2.459 8万元/a,2.036 7万元/a,1.262 9万元/a,0.524 1万元/a,0.354 8万元/a.文章认为,发展与保护始终是土地资源优化配置必然要面对的难题,土地非农化是社会经济发展过程中的必然现象,也是一个土地生态服务功能不断减少和消亡的过程.土地非农化虽然在一定程度上提高了土地的经济效益和社会效益,但生态效益损失巨大,可能会导致总效益净减.土地过度非农化在很大程度上是由于传统市场体系仅部分考虑了土地的经济、社会功能,而几乎完全没有考虑其生态价值导致的.作为一类负外部性,土地非农化过程中的生态价值损失如果不能得到及时遏制,快速增长的城乡建设用地需求将使农地保护面临巨大威胁,这需要将生态价值纳入土地价值体系,计入征地成本,并在一定程度上提高现行土地价格体系的合理性,防止建设用地的过度扩张,减少生态价值损失.     

基于集对分析的石化企业安全投资状况动态评价

石油化工企业的安全事故频发和职业危害严重,不仅造成重大经济损失,而且对社会造成了不良影响,不合理的安全投资是造成这种状况的主要原因之一,对企业现有安全投资状况进行评价是合理进行安全投资的前提和基础。本文针对石油化工企业安全投资评价中诸多不确定性因素和动态特征进行分析,运用集对分析和马尔可夫链理论,建立了基于集对分析石化企业安全投资状况的动态评价模型,为安全投资状况评价工作提供了一个新方法。以某石油化工企业为例,通过对该企业2006-2009年这四年安全投资状况进行动态评价分析,并预测出2010年该企业的安全投资状况。评价结果表明,将集对分析和马尔可夫链理论用于石化企业安全投资状况的动态评价与预测,起到了非常好的效果,能够为企业科学合理地作出正确决策提供理论依据。     

A Multi‐Agency Nutrient Dataset Used to Estimate Loads,Improve Monitoring Design,and Calibrate Regional Nutrient SPARROW Models1

Saad, David A., Gregory E. Schwarz, Dale M. Robertson, and Nathaniel L. Booth, 2011. A Multi‐Agency Nutrient Dataset Used to Estimate Loads, Improve Monitoring Design, and Calibrate Regional Nutrient SPARROW Models. Journal of the American Water Resources Association (JAWRA) 47(5):933‐949. DOI: 10.1111/j.1752‐1688. 2011.00575.x Abstract: Stream‐loading information was compiled from federal, state, and local agencies, and selected universities as part of an effort to develop regional SPAtially Referenced Regressions On Watershed attributes (SPARROW) models to help describe the distribution, sources, and transport of nutrients in streams throughout much of the United States. After screening, 2,739 sites, sampled by 73 agencies, were identified as having suitable data for calculating long‐term mean annual nutrient loads required for SPARROW model calibration. These sites had a wide range in nutrient concentrations, loads, and yields, and environmental characteristics in their basins. An analysis of the accuracy in load estimates relative to site attributes indicated that accuracy in loads improve with increases in the number of observations, the proportion of uncensored data, and the variability in flow on observation days, whereas accuracy declines with increases in the root mean square error of the water‐quality model, the flow‐bias ratio, the number of days between samples, the variability in daily streamflow for the prediction period, and if the load estimate has been detrended. Based on compiled data, all areas of the country had recent declines in the number of sites with sufficient water‐quality data to compute accurate annual loads and support regional modeling analyses. These declines were caused by decreases in the number of sites being sampled and data not being entered in readily accessible databases.     

Using simulation to explore the functional relationships of terrestrial carnivore population indices

Population indices based on visits to detection stations commonly are used to monitor wildlife populations. Inferences about populations are based on 1 of 2 measures: (1) change in the proportion of stations visited at least once or (2) change in the cumulative number of visits by unique individuals. The functional relationships between index responses and population density is poorly understood and can lead to misinterpretation of index data when an incorrect functional relationship (e.g. linear) is assumed. We created a flexible simulation environment to study the response of detection-based population indices under a wide variety of conditions meant to reflect species life history and study design. Proportional indices exhibited non-linear saturating responses to changes in population density while cumulative indices responded linearly. Shapes of responses were functions of home range sizes, individual detection probabilities, and spatial arrangement of animals and sampling stations. Non-linear relationships of proportional indices lead to under-estimation of mean population density when data are aggregated from multiple detection stations deployed in a heterogeneous landscape. Cumulative indices have significant statistical advantages over proportional indices including smaller sample sizes required to detect density change, linearity, consistent index responses across a wide range of densities, and ability to aggregate data to meet minimum sample size requirements. Our simulation provides a flexible tool for the interpretation of station-based population indices.