南海北部最小含氧带水下滑翔机观测结果初步分析*

最小含氧带(Oxygen Minimum Zone, OMZ)是指海洋中层水体处存在的稳定的溶解氧(Dissolved Oxygen, DO)极小值层, OMZ的分布与变化对南海生态系统和生地化循环具有重要意义。本文利用2019年7—9月“海翼”号水下滑翔机(Sea-wing Glider)在南海北部陆坡区的组网观测数据, 对南海北部陆坡区OMZ的空间分布特征进行了分析。结果显示, 在垂向上, 研究区域内DO极小值层出现在深度约700~900m处, 其浓度约为80~100μmol·L^-1, 且700~900m深度范围内DO浓度变化不大, 形成了厚度约为200m的OMZ。在水平方向上, OMZ自陆坡西南部起向东北方向延伸, 厚度由西南至东北逐渐变薄, 整体呈楔形分布, 并在靠近吕宋海峡处逐渐消失。此外, 本研究还选取了两台水下滑翔机7—8月连续两周内的观测数据, 经计算显示, OMZ区域内的DO浓度在跨陆坡方向上的平均变化速率为0.023μmol·L^-1·d^-1(增加), 在沿陆坡方向上为-0.034μmol·L^-1·d^-1(减少)。沿吕宋海峡入侵南海的高氧水能够解释OMZ东北部DO浓度局部升高的现象, OMZ的分布特征和形成原因与海水的平流运动、水团分布和水体层化等物理过程, 以及生物呼吸、有机物分解和还原性物质的氧化等多种影响因素有关。     

超强台风“利奇马”（1909）强度变化与降水结构分析

利用新一代GPM IMERG卫星遥感反演降水数据产品以及NCEP提供的海表温度(SST)、海(陆)-气界面热通量和风场等资料,对超强台风“利奇马”(1909)强度变化和降水结构特征进行分析。结果表明:①2019年8月4日14:00至9日02:00,显著减弱的环境垂直风切变、SST为29.6~30.4℃的海域为“利奇马”提供的感热和大量潜热以及“利奇马”环流东侧极为强盛的偏南风低空急流向其输送充足的水汽和能量,使“利奇马”强度呈显著增强的趋势。2019年8月9日08:00至13日08:00,随着“利奇马”逐渐靠近陆地并登陆,显著增强的垂直风切变、“利奇马”从海洋(陆地)获得的潜热显著减小并且同时失去感热、“利奇马”环流东侧偏南风低空急流的显著减弱、对流层中低层干冷空气侵入“利奇马”环流以及“利奇马”登陆后受到陆面摩擦,使“利奇马”强度显著减弱。②当“利奇马”处于中等强度以上的垂直风切变环境中时(垂直风切变≥5 m/s),无论其移动缓慢(移速<5 m/s),还是移动快速(移速≥5 m/s),垂直风切变对其内(距台风中心100 km半径范围)、外雨带(距台风中心100~300 km半径范围)上的降水分布起决定性作用,“利奇马”内、外雨带上的强降水均位于顺垂直风切变方向及其左侧。当“利奇马”处于较弱的垂直风切变环境中时(垂直风切变<5 m/s),无论其移动缓慢,还是移动快速,内雨带上的降水分布由垂直风切变和“利奇马”移动共同决定,强降水分别出现在顺垂直风切变方向及其左侧以及移动的前方,而外雨带上的降水分布由垂直风切变起主导作用,即强降水位于顺垂直风切变方向。总的来看,与“利奇马”移动速度和方向相比,环境垂直风切变对“利奇马”内、外雨带上降水非对称分布的影响要重要得多。     

微塑料添加对小麦苗期生长及干物质分配的影响

土壤环境中微塑料污染已成为全球关注的环境问题。关于微塑料对于植物生长的直接影响和由于土壤理化性状改变的间接影响研究已逐步开展,但针对小麦的研究鲜见报道。试验选择两个旱地小麦品种(甘春27和禾尚头)作为研究对象,选取高密度聚乙烯作为微塑料添加,设置3种质量浓度(0、1、4 g·kg^-1)开展盆栽试验,对不同微塑料组合处理下小麦的出苗率、株高、全株生物量和地上/地下干物质分配进行了分析。结果表明：(1)微塑料添加对两个品种出苗率没有影响。(2)禾尚头在添加1 g·kg^-1微塑料时比添加0、4 g·kg^-1时全株生物量分别高46.7%、8.5%,甘春27在添加1 g·kg^-1微塑料时比添加0、4 g·kg^-1时全株生物量分别高28.7%、17.2%;甘春27整体比禾尚头在3种浓度处理下全株生物量分别高24.9%、9.6%、1.5%。(3)不同试验处理条件下,甘春27将更多的干物质分配在地上植株的构建,其在地下(根系)和地上(茎叶)部分的分配比例整体小于禾尚头。整体上,适度微塑料添加可...     

暴雨山洪灾害预警方法研究进展

暴雨山洪灾害预警是中小流域山洪灾害防控体系的薄弱环节,也是决定山洪灾害防控成败的关键。论文围绕山洪灾害预警的核心问题,从中国山洪灾害区域差异特征、山洪灾害预警技术方法、山洪灾害概率预警现状3个方面进行了综述。中国山洪灾害分布存在明显的时空差异,因此有必要根据山洪灾害的区域差异发展有针对性的预警方法。以临界雨量为指标的雨量预警是目前中国中小流域暴雨山洪灾害预警的主要技术手段,但常规方法仅给出一个(组)确定的临界雨量阈值,导致预警结果存在突出的不确定性问题。概率预警可以定量评估诸多不确定性,给出山洪灾害概率预警结果,因此具备很好的理论优势与潜在应用价值。论文展望了山洪灾害概率预警未来的研究重点与方向：(1)充分挖掘暴雨洪水样本信息,开展山洪灾害概率预警基础方法与技术集成研究;(2)加强非平稳性条件下的临界雨量阈值估算与山洪灾害概率预警研究;(3)综合考虑预警阈值发生概率及其致灾概率,优化“多级预警、多级响应”技术方法,推进山洪灾害综合预警业务系统建设与应用。     

Root structure,distribution and biomass in five multipurpose tree species of Western Himalayas

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The tree root distribution pattern and biomass of seventeen year old trees of Grewia optiva, Morus alba, Celtis australis, Bauhinia variegata and Robinia pseudoacacia were studied by excavation method. B. variegata roots penetrated to a maximum depth of 4.78 m, whereas, M. alba roots were found down to 1.48 m depth. Lateral spread was minimum in B. variegata （1.10 m）and maximum inR. pseudoacacia （7.33 m）. Maximum root biomass of 6.30 kg was found in R. pseudoacacia and minimum （2.43 kg） was found in M. alba. For four species viz.,G. optiva, M. alba, C. australis andR. pseudoacacia, 68%-87% root biomass occurred within top 0-30 cm soil depth, but forB. variegata this was only45%. The soil binding factor was maximum in G. optiva and minimum in B. variegata. Soil physico-chemical properties also showed wide variation. The study suggests thatB. variegata with a deep root system is the most suitable species for plantation under agroforestry systems. R. pseudoacacia and G. optiva with deep root systems, more lateral spread and high soil binding factor are suitable for plantation on degraded lands for soil conservation.     

Fine root distribution pattern of different aged Leucaena leucocephala trees in debris flow source area in Jiangjia Gully,China

Fine root is critical to restrain soil erosion and its distribution pattern is of great influence on the restraining effects. This study studied the fine root biomass(Br) distribution of different aged Leucaena leucocephala(5, 10, 15 years) in debris flow source area in Jiangjia Gully by digging downward to the bottom at different distances to stem in three directions on slope. The results showed the Br increased dramatically by 143% from 5 years to 10 years and then rose slowly by 38% from 10 years to 15 years. The Br of 5 years was significantly asymmetric between uphill and alonghill directions, but there was little difference among directions for other ages, and a concentration trend appeared to exist in downhill and alonghill directions. Moreover, fine root(D≤1 mm) was significantly heavier than that of fine root(1mmD≤2 mm), playing a leading role in the vertical distribution of the whole fine root, with a logarithmic or an exponential function. The results presented may shed light on fine root distribution pattern and evaluation of its effect on slope stability in debris flow source area.     

山东苍峄铁矿带沟西-西官庄矿区地下水微量元素Fe~(3+)富集赋存规律

2010年以来,对研究区内水文地质背景及不同层位水质化学测试样品数据分析研究,重点阐述了微量元素Fe3+的富集与含水介质岩性、地下水的酸碱度、地层含水性和氧化还原环境的关系,认为地下水中Fe3+富集赋存的最有利的环境是变质岩类地层;碳酸盐岩和碎屑岩中水化学类型HCO3-Ca型水分布最广,碳酸盐岩的地下水中Fe3+平均含量最低;变质岩中硫酸型(包括复合型)的地下水中Fe3+的平均含量最高,对Fe3+的行为呈正相关关系。地下水中Fe3+含量赋存具以副井及其外围地区为中心高浓度分带性。     

车载激光扫描数据控制点布设方案研究

该文以提高车载激光扫描数据高程精度为出发点,分析了扫描数据的误差来源。该文提出多种控制点布设方案,以京沪高速部分路段激光扫描数据为例,统计并分析各个控制点布设方案改正结果,为以后车载激光数据外业控制点布设提供参考。     

基于SDCORS的车载RTK高程注记点连续采集精度分析

为提高航测法数字线划图(DLG)的生产效率,尽可能减少外业作业时间,基于山东省卫星定位连续运行综合服务系统(SDCORS)的车载RTK技术进行高程注记点采集。采用不同时间(白天、晚上)、不同车速条件进行高程注记点连续采集,并与常规方法(全站仪、单基站RTK)采集高程点进行比较,求取高程中误差,认为在夜间以不大于20 km/h的车速进行采集精度较高。在数字海阳基础地理信息数据采集项目中,利用车载RTK采集346 km2范围内的沿路高程注记点,结果表明能够满足1∶500航测法成图精度要求。     

Conflation and aggregation of spatial data improve predictive models for species with limited habitats: A case of the threatened yellow-billed cuckoo in Arizona,USA

Riparian vegetation provides important wildlife habitat in the southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.