基于高斯模型对氯气泄漏浓度分布的快速估算方法研究

利用高斯模型对氯气泄漏浓度分布进行了较全面地探讨和研究,分析了高斯模型的实用性,探索了通过地面任意两点的浓度测量值快速计算泄漏源流强和泄漏点的高度以及地面浓度最大值及最大值位置的方法。提出了估算浓度等于和大于某一定值的区域的办法,并通过三个不同浓度的等值线的估算值和模拟值进行了比较,证明该方法的合理性。该方法完全可以推广到其它的模型和各种不同的条件,对于提高事故处置的侦检效率具有积极的意义。     

平煤八矿丁一风井通风阻力测定与结果分析

以平煤八矿丁一风井所服务的三个采区为例,系统地介绍了通风阻力测定方法、测定路线选择及测点布置。运用条件平差方法对测量数据进行处理,通过理论公式计算得到测定结果,然后对矿井通风系统进行分析。测定结果得出丁一风井通风系统的进风段、用风段和回风段阻力分布不平衡,部分区段通风阻力过大,通风总阻力超出了规定要求。结合丁一风井实际情况进行分析,找出了造成部分区段通风阻力过大的原因,并提出改进措施,为矿井通风安全管理提供了真实可靠的基础资料。     

石油加工过程硫转移分布及风险分析

以典型高硫原油加工炼厂为研究对象,选取常减压蒸馏装置、加氢处理装置、延迟焦化、催化裂化等硫化物处理量较大的装置进行硫转移分析,研究石油加工过程中硫迁移分布规律;以硫迁移分布规律为基础,结合各装置中硫的类型分布,分析各装置存在的主要风险,并提出控制建议,为各装置的风险管理提供依据。     

村镇生活垃圾重金属含量及其来源分析

对全国12个省份72个典型村镇的生活垃圾进行采样调查,系统分析我国村镇生活垃圾中重金属污染特征及其可能来源.结果表明,我国北方典型村镇生活垃圾中重金属As、Hg、Pb、Cd、Cr、Cu、Zn和Ni的含量分别为(7.51±8.89)、(0.64±0.42)、(21.91±12.29)、(4.82±8.37)、(86.36±59.99)、(36.43±15.98)、(62.19±36.61)和(46.07±25.22)mg·kg-1,南方典型村镇生活垃圾中重金属As、Hg、Pb、Cd、Cr、Cu、Zn和Ni的含量分别为(7.43±8.82)、(0.83±0.74)、(21.62±13.76)、(1.84±4.55)、(131.06±74.96)、(37.20±16.80)、(98.04±63.71)和(46.75±25.75)mg·kg-1.与《城镇垃圾农用控制标准》(GB 8172-87)和《土壤环境质量标准》(GB 15618-1995)二级标准相比,重金属Cd和Hg超标较严重.通过聚类分析、Pearson相关分析和主成分分析解析垃圾中重金属污染物的来源,结果表明我国典型村镇生活垃圾中Pb和Cd主要来源于厨余、灰土、橡塑类和纸质等印刷品,Hg主要来源于厨余和灰土,Zn和Cr主要来源于灰土,Cu主要来源于电子、电池类废弃物和尘土、橡塑、纸质等印刷品,Ni主要来源于废弃的电子、电池类产品,As主要来源于杀虫剂等农药和肥料.     

南方典型水源地及水产养殖区抗生素的复合污染特征及生态风险

抗生素作为生长促进剂和疾病预防控制药物在水产养殖领域得到广泛应用,目前在许多环境水体中检测到不同类型的抗生素。环境中抗生素的残留问题也是目前环境研究的热点问题之一。本研究选择南方某市8个水源地和5个典型水产养殖区作为研究对象,采用固相萃取、高效液相色谱串联三重四级杆质谱联用仪方法,调查了32种常用抗生素在水体中的含量水平和空间分布特征,揭示了抗生素的来源,并对其生态风险进行了评价。水源地共检出12种抗生素,浓度范围为0.12～44.6 ng·L~(-1),以磺胺甲噁唑含量最高;水产养殖区检出14种抗生素,浓度范围为0.95～716 ng·L~(-1),以氯四环素检出浓度最高。整体上水产养殖区抗生素的浓度高于水源地。抗生素浓度与环境因子的冗余分析表明,水产养殖和生活污水排放是水体中抗生素的主要来源。对检出的13种抗生素进行生态风险评价,单一抗生素而言,环丙沙星、氧氟沙星、磺胺嘧啶、氯四环素和脱水红霉素的风险商值大于0.01而小于0.1,表现为低风险。总抗生素风险商值加和在大部分水源地大于0.01而小于0.1,表现为低风险;总抗生素风险商值加和在2个水产养殖区大于0.1,表现为中等风险,水产养殖区抗生素的长期生态风险应该引起关注。     

深圳大气有机硝酸酯粒径分布特征和来源研究

于2021年3月30日至2021年4月17日利用超高分辨率气溶胶飞行时间质谱(Long-ToF-AMS),对深圳城市大气中的颗粒态有机硝酸酯(pON)开展高精度分析.基于两种估算pON的方法,计算得出pON对有机气溶胶(OA)的贡献占比为5.08％～11.00％.pON的日变化特征显示,其高值主要出现在夜间时段(19:...     

基于核密度估计的清代中国自然灾害时空分布特征

基于《清史·灾赈志》中的历史灾害信息,提取清代（1644-1911年）自然灾害共24 537县次,重建逐年灾害频次序列,以核密度估计法对5类主要灾害（水灾、旱灾、蝗灾、疫灾、冷害）的空间分布特征进行分析。结果表明:清代自然灾害频次序列没有明显的趋势性特征,而体现为阶段性波动,基于灾害频次30年滑动平均值可提取出4个峰值时段（1644-1673、1721-1750、1812-1841和1872-1901年）;相比于现代,清代灾害类型更加集中在农业灾害,最为多发的是水灾和旱灾,合计占总数的近80%,其次是蝗灾、疫灾和冷害;灾害最为多发的高风险区分布在黄淮海平原和长江三角洲,前者集中了水灾、旱灾、蝗灾的极端多发区,后者除了水旱多发,还是疫灾和冷害的极端多发区; 4个峰值时段的灾种类型组合和灾害多发区均有明显差异,时空变化受到致灾因子、暴露度和脆弱性因素的共同作用。上述工作有助于更好地认识历史灾害发生规律,对于当前及未来的防灾减灾工作具有重要参考价值。     

Boosting freshwater fish conservation with high-resolution distribution mapping across a large territory

The lack of high-resolution distribution maps for freshwater species across large extents fundamentally challenges biodiversity conservation worldwide. We devised a simple framework to delineate the distributions of freshwater fishes in a high-resolution drainage map based on stacked species distribution models and expert information. We applied this framework to the entire Chinese freshwater fish fauna (>1600 species) to examine high-resolution biodiversity patterns and reveal potential conflicts between freshwater biodiversity and anthropogenic disturbances. The correlations between spatial patterns of biodiversity facets (species richness, endemicity, and phylogenetic diversity) were all significant (r = 0.43–0.98, p < 0.001). Areas with high values of different biodiversity facets overlapped with anthropogenic disturbances. Existing protected areas (PAs), covering 22% of China's territory, protected 25–29% of fish habitats, 16–23% of species, and 30–31% of priority conservation areas. Moreover, 6–21% of the species were completely unprotected. These results suggest the need for extending the network of PAs to ensure the conservation of China's freshwater fishes and the goods and services they provide. Specifically, middle to low reaches of large rivers and their associated lakes from northeast to southwest China hosted the most diverse species assemblages and thus should be the target of future expansions of the network of PAs. More generally, our framework, which can be used to draw high-resolution freshwater biodiversity maps combining species occurrence data and expert knowledge on species distribution, provides an efficient way to design PAs regardless of the ecosystem, taxonomic group, or region considered.     

Emergent conservation outcomes of shared risk perception in human-wildlife systems

Human perception of risks related to economic damages caused by nearby wildlife can be transmitted through social networks. Understanding how sharing risk information within a human community alters the spatial dynamics of human-wildlife interactions has important implications for the design and implementation of effective conservation actions. We developed an agent-based model that simulates farmer livelihood decisions and activities in an agricultural landscape shared with a population of a generic wildlife species (wildlife-human interactions in shared landscapes [WHISL]). In the model, based on risk perception and economic information, farmers decide how much labor to allocate to farming and whether and where to exclude wildlife from their farms (e.g., through fencing, trenches, or vegetation thinning). In scenarios where the risk perception of farmers was strongly influenced by other farmers, exclusion of wildlife was widespread, resulting in decreased quality of wildlife habitat and frequency of wildlife damages across the landscape. When economic losses from encounters with wildlife were high, perception of risk increased and led to highly synchronous behaviors by farmers in space and time. Interactions between wildlife and farmers sometimes led to a spillover effect of wildlife damage displaced from socially and spatially connected communities to less connected neighboring farms. The WHISL model is a useful conservation-planning tool because it provides a test bed for theories and predictions about human-wildlife dynamics across a range of different agricultural landscapes.     

Effectiveness of Panama as an intercontinental land bridge for large mammals

Habitat fragmentation is a primary driver of wildlife loss, and establishment of biological corridors is a common strategy to mitigate this problem. A flagship example is the Mesoamerican Biological Corridor (MBC), which aims to connect protected forest areas between Mexico and Panama to allow dispersal and gene flow of forest organisms. Because forests across Central America have continued to degrade, the functioning of the MBC has been questioned, but reliable estimates of species occurrence were unavailable. Large mammals are suitable indicators of forest functioning, so we assessed their conservation status across the Isthmus of Panama, the narrowest section of the MBC. We used large-scale camera-trap surveys and hierarchical multispecies occupancy models in a Bayesian framework to estimate the occupancy of 9 medium to large mammals and developed an occupancy-weighted connectivity metric to evaluate species-specific functional connectivity. White-lipped peccary (Tayassu pecari), jaguar (Panthera onca), giant anteater (Myrmecophaga tridactyla), white-tailed deer (Odocoileus virginianus), and tapir (Tapirus bairdii) had low expected occupancy along the MBC in Panama. Puma (Puma concolor), red brocket deer (Mazama temama), ocelot (Leopardus pardalis), and collared peccary (Pecari tajacu), which are more adaptable, had higher occupancy, even in areas with low forest cover near infrastructure. However, the majority of species were subject to ≥1 gap that was larger than their known dispersal distances, suggesting poor connectivity along the MBC in Panama. Based on our results, forests in Darien, Donoso–Santa Fe, and La Amistad International Park are critical for survival of large terrestrial mammals in Panama and 2 areas need restoration.