Soil Lead and Children’s Blood Lead Levels in Syracuse, NY, USA

A geo-referenced data set of 12 228 first-time blood lead screening values for Syracuse, NY, children was established for the 4-year period 1992–1996. Soil lead values were measured in a 600 m by 600 m tessellation grid covering the city. The two data sets were merged for evaluation of relationships between them. Strong seasonal variation in blood lead levels suggests the importance of contaminated soils as an exposure source. When the data were aggregated at a large geographic scale (3 km²), a logarithmic model showed an R² of > 0.65 for the regression of geometric mean blood lead on median soil lead values. Results showed a striking similarity to those obtained by Mielke et al. (1999) for a study in New Orleans, LA, USA.     

Extinction Rate Estimates for Plant Populations in Revisitation Studies: Importance of Detectability

Abstract:  Many researchers have obtained extinction-rate estimates for plant populations by comparing historical and current records of occurrence. A population that is no longer found is assumed to have gone extinct. Extinction can then be related to characteristics of these populations, such as habitat type, size, or species, to test ideas about what factors may affect extinction. Such studies neglect the fact that a population may be overlooked, however, which may bias estimates of extinction rates upward. In addition, if populations are unequally detectable across groups to be compared, such as habitat type or population size, comparisons become distorted to an unknown degree. To illustrate the problem, I simulated two data sets, assuming a constant extinction rate, in which populations occurred in different habitats or habitats of different size and these factors affected their detectability. The conventional analysis implicitly assumed that detectability equalled 1 and used logistic regression to estimate extinction rates. It wrongly identified habitat and population size as factors affecting extinction risk. In contrast, with capture-recapture methods, unbiased estimates of extinction rates were recovered. I argue that capture-recapture methods should be considered more often in estimations of demographic parameters in plant populations and communities.     

Climatic Change, Wildfire, and Conservation

Abstract:  Climatic variability is a dominant factor affecting large wildfires in the western United States, an observation supported by palaeoecological data on charcoal in lake sediments and reconstructions from fire-scarred trees. Although current fire management focuses on fuel reductions to bring fuel loadings back to their historical ranges, at the regional scale extreme fire weather is still the dominant influence on area burned and fire severity. Current forecasting tools are limited to short-term predictions of fire weather, but increased understanding of large-scale oceanic and atmospheric patterns in the Pacific Ocean (e.g., El Niño Southern Oscillation, Pacific Decadal Oscillation) may improve our ability to predict climatic variability at seasonal to annual leads. Associations between these quasi-periodic patterns and fire occurrence, though evident in some regions, have been difficult to establish in others. Increased temperature in the future will likely extend fire seasons throughout the western United States, with more fires occurring earlier and later than is currently typical, and will increase the total area burned in some regions. If climatic change increases the amplitude and duration of extreme fire weather, we can expect significant changes in the distribution and abundance of dominant plant species in some ecosystems, which would thus affect habitat of some sensitive plant and animal species. Some species that are sensitive to fire may decline, whereas the distribution and abundance of species favored by fire may be enhanced. The effects of climatic change will partially depend on the extent to which resource management modifies vegetation structure and fuels.     

化学纤维栅湿式过滤除尘的实验研究

化学纤维栅湿式除尘是一种复合机理的新型湿式过滤除尘技术,其过滤风速为2～10m/s,阻力仅为200～500Pa,除尘效率达到99.62％,能很好解决矿山溜井卸矿产生的粉尘,使溜井含尘气流经净化后达到新鲜风流卫生标准。     

NONLINEAR MODELING AND PREDICTION OF A RIVER FLOW SYSTEM1

ABSTRACT: Model estimation and prediction of a river flow system are investigated using nonlinear system identification techniques. We demonstrate how the dynamics of the system, rainfall, and river flow can be modeled using NARMAX (Nonlinear Autoregressive Moving Average with eXogenuous input) models. The parameters of the model are estimated using an orthogonal least squares algorithm with intelligent structure detection. The identification of the nonlinear model is described to represent the relationship between local rainfall and river flow at Enoree station (inputs) and river flow at Whitmire (output) for a river flow system in South Carolina.     

Photo-assisted fenton oxidation of refractory organics in UASB-pretreated leachate

Nearly 91% of organic pollutants in Hong Kong leachate could be effectively removed by the UASB(upflow anaerobic sludge blanket)process followed by the fenton coagulation.The COD(chemical oxygen demand)of leachate was lowered from an average of 5620 mg/L to 1910 mg/L after the UASB treatment at 37℃,and was further lowered to 513 mg/L after fenton coagulation.The remaining refractory residues could be further removed by plotochemical oxidation with the addition of H2O2.The BOD/COD ratio was greatly increased from 0.062 to 0.142,indicating the biodegradability of organic residues was improved.The photochemical oxidation for the fenton-coagulation supernatant was most effective at pH3-4,with the addition of 800 mg/L of H2O2,and UV radiation time of 30 minutes.The final effluent contained only 148 mg/L of COD,21 mg/L of BOD(biochemical oxygen demand)and 56 mg/L of TOC (total organic carbon).     

Exchange of sulfur pollution between Bulgaria and Greece

The EMAP model (Eulerian Model for Air Pollution) is applied for calculating the sulfur concentration and deposition fields for 1995 as based upon Bulgarian and Greek sources. The country-to-country budgets show that about 4% of the sulfur oxides emitted by Bulgaria are deposited over Greek territory, estimated at 28 kt S. Only 2% of sulfur compounds emitted by Greece are deposited over Bulgaria, estimated at 6.2 kt S for 1995. This data is in agreement with EMEP/MSC-W estimates and provides more details concerning time and space. The results can be used in decision-making, negotiating and the development of contamination strategies.     

深圳大学城园区典型OVOCs污染特征与来源解析

采用质子转移反应质谱仪（PTR-MS）对深圳大学城园区2017年不同季节（分干湿两季）的6种典型OVOCs和其他非甲烷烃类（NMHCs）进行连续在线监测,分析其干湿季的浓度特征与日变化规律,并应用光化学龄的参数化方法开展OVOCs的来源解析.结果表明,在观测的6种OVOCs中,甲醇的平均浓度最高,达10×10^-9~12×10^-9,其次是乙酸、丙酮和乙醛,约2~5×10^-9,甲酸和丁酮的含量最低,仅1×10^-9~2×10^-9.通过日变化观察到的OVOCs湿季峰值浓度时间明显早于干季,乙醛表现出与臭氧（O₃）相似的日变化特征,揭示了其可能存在二次来源;甲醇和丁酮的峰值浓度时间均早于O₃,可能存在重要的一次排放源.采用光化学龄模型解析出日间污染物来源比例：在污染较重的干季,甲醇、乙醛、丙酮和丁酮的人为一次源占主导,甲酸和乙酸的二次源是主要贡献者;在较清洁的湿季,天然源成为乙醛、丙酮、丁酮、甲酸和乙酸的主要来源.     

基于GIS格网化分析支撑的旅游空间规划技术方法研究——以青岛市为例

空间规划是支撑旅游地发展规划的核心章节,目前主要依靠规划者经验判断,主观性较强,缺乏客观方面的信息数据支持。论文将GIS格网化与旅游资源评价模型相结合,提出了旅游资源单体采集、旅游资源格网化及其空间分析方法,并融合旅游资源群评价模型、旅游功能区识别模型、旅游线路和空间发展轴线识别模型予以支撑,形成了标准化的旅游资源采集、评价到空间识别的集成技术方法;并以青岛市为例,识别出了旅游资源集群及其发展潜力、旅游功能区和空间拓展轴线,确立了“一心、一带、三轴、五区”的空间发展格局。论文初步探讨了GIS格网化空间分析方法在区域旅游规划中的应用,能够补充传统定性评价方法客观性不足的缺陷,实现复杂旅游资源数据的单体评价、旅游资源集群评价、旅游功能区识别、旅游线路和空间发展轴线优选的系列化分析技术路线,可为延伸旅游规划深度、提高规划精度提供科学参考。