Improved spatial delineation of streambed properties and water fluxes using distributed temperature sensing

A new method was developed for analysing and delineating streambed water fluxes, flow conditions and hydraulic properties using coiled fibre‐optic distributed temperature sensing or closely spaced discrete temperature sensors. This method allows for a thorough treatment of the spatial information embedded in temperature data by creating a matrix visualization of all possible sensor pairs. Application of the method to a 5‐day field dataset reveals the complexity of shallow streambed thermal regimes. To understand how velocity estimates are affected by violations of assumptions of one‐dimensional, saturated, homogeneous flow and to aid in the interpretation of field observations, the method was also applied to temperature data generated by numerical models of common field conditions: horizontal layering, presence of lateral flow and variable streambed saturation. The results show that each condition creates a distinct signature visible in the triangular matrices. The matrices are used to perform a comparison of the behaviour of one‐dimensional analytical heat‐tracing models. The results show that the amplitude ratio‐based method of velocity calculation leads to the most reliable estimates. The minimum sensor spacing required to obtain reliable velocity estimates with discrete sensors is also investigated using field data. The developed method will aid future heat‐tracing studies by providing a technique for visualizing and comparing results from fibre‐optic distributed temperature sensing installations and testing the robustness of analytical heat‐tracing models. Copyright © 2016 John Wiley & Sons, Ltd.     

The Tropical Pacific–Indian Ocean Associated Mode Simulated by LICOM2.0

Oceanic general circulation models have become an important tool for the study of marine status and change. This paper reports a numerical simulation carried out using LICOM2.0 and the forcing field from CORE. When compared with SODA reanalysis data and ERSST.v3 b data, the patterns and variability of the tropical Pacific–Indian Ocean associated mode(PIOAM) are reproduced very well in this experiment. This indicates that, when the tropical central–western Indian Ocean and central–eastern Pacific are abnormally warmer/colder, the tropical eastern Indian Ocean and western Pacific are correspondingly colder/warmer. This further confirms that the tropical PIOAM is an important mode that is not only significant in the SST anomaly field, but also more obviously in the subsurface ocean temperature anomaly field. The surface associated mode index(SAMI) and the thermocline(i.e., subsurface) associated mode index(TAMI) calculated using the model output data are both consistent with the values of these indices derived from observation and reanalysis data. However, the model SAMI and TAMI are more closely and synchronously related to each other.     

中天山东部南北两缘韧性剪切带变形特征

(1)中天山北缘韧性剪切带除右旋韧剪变形之外,还发育相对较弱的左旋韧剪变形,局部残留加里东晚期的逆冲推覆韧剪变形;右旋韧剪变形的变形温度环境为中-低温,左旋韧剪变形的变形温度环境为高温、中温、中低温及低温。(2)中天山南缘韧性剪切带以右旋韧剪变形为主,兼具左旋韧剪变形;右旋韧剪变形的变形温度环境为中温、中低温、低温,左旋韧剪变形的变形温度环境为高温、中温、中低温及低温。(3)东天山存在一系列右旋韧性剪切带,中天山南北两缘韧性剪切带的构造变形与辛格尔断裂、兴地断裂等右旋韧性剪切带的变形以及塔里木北缘东部晚震旦—早古生代地层的同劈理褶皱变形、南天山泥盆纪地层的变形可能具成因联系。     

大兴安岭岩石圈地幔特征——哈拉哈河-绰尔河橄榄岩捕虏体的证据

大兴安岭哈拉哈河-绰尔河第四纪火山岩中含有尖晶石相和石榴石相橄榄岩捕虏体.本文报道的尖晶石相橄榄岩包括方辉橄榄岩和二辉橄榄岩两类,前者分布数量略高于后者.方辉橄榄岩多数具有较高的平衡温度(1072～1193℃),矿物化学成分变化大,含有高Mg橄榄石和高Cr#尖晶石,这些特征一致表明是古老岩石圈地幔残余的样品.而二辉橄榄岩显示相对均一的矿物化学成分和很宽的平衡温度变化范围(636～1178℃),代表了明显受到改造的岩石圈地幔,可能反映岩石圈地幔的不同深度和局部经历了软流圈与岩石圈相互作用.通过与华北克拉通的对比,发现地处兴蒙造山带的大兴安岭岩石圈地幔中仍保留有相当量的古老岩石圈地幔残余,区别于遭受强烈改造和破坏的华北克拉通东部地区的岩石圈地幔.     

Inhibition of larval swimming activity of the coral (Platygyra acuta) by interactive thermal and chemical stresses

This study examined the interactive effects of copper and elevated temperature and subsequent depuration on Platygyra acuta coral larvae. Larval mortality and motility were significantly affected by copper alone (70% and 100% inhibition respectively). Their respective lethal/inhibitory concentration (LC₅₀/IC₅₀) were 10–130% and 86–193% higher than those reported for other larvae. Temperature (ambient, 27 °C and elevated, 30 °C) alone and the combination of temperature and copper did not significantly affect both endpoints. This study provides the first quantitative data on depuration effect on resumption of larval motility after copper exposure, although no sign of larval recovery was observed. These findings suggest that the effects of copper pollution outweigh the thermal tolerance of coral larvae. High LC₅₀ and IC₅₀ recorded may be unique for corals from marginal reefs like Hong Kong which have already been exposed to high levels of copper pollution.     

莆田近岸海域海带烂孔病起因的初步研究

2019年3月莆田近岸海域海带尾部烂孔后逐渐向根部蔓延,孔洞相连后海带脱落,时空规律为先南后北逐渐发病,共涉及养殖面积约7 km2,给莆田近岸海带养殖带来了较大的损失。初步研究分析了海带大规模烂孔的原因,主要结果如下:海区温度异常升高,盐度持续较低,连续阴天光照不足,环境变化超出了细胞生理承受能力从而造成海带烂孔。此次诊断,对渔业生产及海洋环境监测结果在渔业上的应用均具有一定的现实意义。     

顾及多因子影响的中国区域Tm模型精化研究

利用中国区域2015~2017年探空数据,建立一种顾及地表温度、地表水汽压、高程和纬度的中国区域大气加权平均温度T_m模型（BET模型）。以2018年探空站T_m数据为参考值,分析BET模型精度,并与Bevis模型和GPT3模型进行对比。结果表明,BET模型年均RMSE与bias分别为3.15 K和0.04 K,相比于Bevis模型、1°×1°分辨率的GPT3模型和5°×5°分辨率的GPT3模型,年均RMSE分别降低29.2%、32.8%和39.1%,年均bias分别降低96.4%、96.7%和97.4%,且该模型在中国区域不同高程和纬度上的精度与稳定性优于Bevis模型和GPT3模型。     

中国西天山季节性积雪热力特征分析

利用中国天山积雪雪崩站干、湿雪雪层内每隔5min一次的10层雪温数据,探讨了一次降雪过程后干、湿雪的雪层温度特征,对比分析了干、湿雪的雪面能量平衡方程中各分量的差异。结果表明:(1)整个冬半年积雪各层温度基本<0℃,雪温日变化振幅由雪面向下逐渐减小,积雪深层温度的波峰(谷)值稍滞后于积雪浅层温度极值1～2天。(2)湿雪冷中心的出现时间早于干雪,暖中心的出现时间晚于干雪,太阳辐射对湿雪的穿透深度大于干雪。(3)雪层温度振幅变化与能量吸收随雪深都呈指数衰减分布。积雪密度越大,吸收系数越小,穿透深度越大。(4)干雪雪面的感热通量和潜热通量几乎都为负值,积雪积累。湿雪雪面的潜热通量与感热通量方向相反,互相抵消,所以净辐射是导致湿雪消融的主要因素。     

中国近海海表温度对气候变暖及暂缓的显著响应

基于多套全球海温再分析数据和2种线性趋势分析方法,评估了1958-2014年中国近海海表温度（SST）的变化及其对全球气候变化的响应特征,并与全球平均地表温度特别是与若干重要海区的SST做了比较。研究表明：在全球变暖的显著加速期（1980年代和1990年代）,中国近海区域年平均SST表现出更快速的升温特征,其速率达0.60℃/10a,是同期全球平均升温速率的5倍以上;在变暖暂缓期（1998-2014年）,中国近海SST出现显著的下降趋势。研究还表明,中国近海区域SST的年代际变化与太平洋年代际涛动（PDO）的位相转换一致,前者SST的快速上升（下降）期与PDO正（负）位相最大值的时期相对应,PDO可能是通过东亚季风和黑潮影响中国近海SST的年代际变化。     

中沙群岛海域春夏交季温盐分布特征

中沙群岛主要由中沙大环礁和黄岩岛组成,其温盐分布对于本区渔业生产、航海保障和水下通讯等具有重要意义。尤其是春夏之交的季节转换时期,该海域水温和盐度及其相应的跃层特性存在显著的季节变化,掌握其季节变化特征具有重要现实意义。本文基于2019年5月（南海春夏季风转换期）中沙大环礁、黄岩岛和2020年6月（夏季风爆发期）中沙大环礁海域大面站调查数据分析,发现中沙大环礁海域水温和盐度分布特征在夏季风爆发前后具有显著的差异性,2个航次的温跃层分布也呈现出较大不同,2019年5月黄岩岛海域温盐中上层分布与中沙大环礁相似,但底层有所差异,跃层深度也较大。2020年6月中沙大环礁内水体升温较快,各层水温均高于2019年5月,其中以底层水体升温最为显著;2019年5月中沙大环礁内水温水平梯度较大,且随着水深加大水平梯度也越大,2020年6日水平温度梯度逐渐减小。2个航次的盐度分布与水温分布较为相似。结合调查时段的海表热通量变化和卫星高度计资料分析认为,2019年5月中沙大环礁西南部海洋吸热高于东北部,故表层水温西南高东北低;2020年6月至7月环礁西南部海洋吸热低于东北部,故表层水温西南低东北高。由于中尺...