Diurnal,seasonal and inter-annual variability of fish density and distribution in the Three Gorges Reservoir (China) assessed with hydroacoustics

Environment conservation of the Three Gorges Reservoir (TGR) requires reliable assessment of fish resources and variation of their distribution. The goal of this study was to determine the best season and the diurnal period to estimate fish density in the TGR using acoustic surveys as a monitoring tool. To find out diurnal migration pattern of fishes in the TGR, we conducted reduplicated 24-h hydroacoustical surveys in the forequarter of the TGR, which covered different habitats (mainstream, tributary bay), seasons (summer, winter) and years (2012–2015). Measurements were performed using SIMRAD EY60 split beam echosounder with frequency 120 kHz. Additionally, zooplankton and environmental parameters were measured. The results showed more than ten times differences between the day and night fish density estimates, probably resulting either from the horizontal migrations between the littoral and open water or vertical migrations. Differences were higher during winter than during summer, and higher in the tributary bay than in the mainstream. Clear vertical migrations were observed both in the tributary bay (amplitude 15 m) and in the mainstream (amplitude 35 m), but only during winter time. Inter-annual estimates of fish density showed generally decreasing trend with years. especially well pronounced in the tributary bay. We also observed high seasonal and diurnal variability in fish distributions, which can significantly affect the accuracy and precision of biomass estimate, indicating importance of choosing appropriate timing for fish monitoring. According to our results, in order to receive the most reliable estimates of fish density in the TGR, hydroacoustic surveys should be performed during summer at night time.     

Seasonal radiocarbon reservoir ages for the 17th century James River,Virginia estuary

This study utilizes a combined stable isotope and ¹⁴C dating approach to determine the radiocarbon reservoir age correction, ΔR, for the James River, Virginia estuary from 17th century Crassostrea virginica shells of known collection dates. ΔR, which can vary spatially and temporally, is a locality-specific adjustment applied to the global ocean reservoir, R, to further account for the offset between the atmospheric and marine ¹⁴C calibration curves. To assess the temporal variability in ΔR, continuous δ¹⁸O sampling along the oyster shell hinge provides a seasonal record throughout the oyster's life. This is then used to identify sampling locations for ¹⁴C measurements based on calcite precipitated during the Summer (>19 °C) and Fall through Spring (F-Sp, <15 °C) months. The resulting seasonal ΔR values range from −151 ± 46 to +109 ± 55 ¹⁴C years (260 years) due to changes in the contribution and age of dissolved inorganic carbon (DIC) from marine and freshwater sources in the James River estuary. The F-Sp samples display a larger ΔR range than the Summer samples, as do the shells precipitated during drought conditions (1606–1612) when compared to shells from the remainder of the 17th century. The largest intrashell ΔR variability, 195 ¹⁴C years, is similarly found in a drought shell and is attributed to variability caused by the extreme regional 1606–1612 drought. Early land use changes related to European development and farming practices also altered the age of DIC in the James River estuary. We estimate that the soil inorganic carbon (SIC) contributing to freshwater DIC ranged from 0 to ∼1800 years old and reflected both the drought and land use changes that occurred during the 17th century. Using only the Summer samples, which represent the majority of shell calcite, we obtain a mean ΔR = −32 ± 11 ¹⁴C years (1σ) for 17th century James River estuary ΔR at the very onset of European colonization. Employing a seasonally resolved sampling method will provide the greatest constraint on ¹⁴C measurements in an estuarine environment where multiple carbon sources can fluctuate on seasonal timescales and as a result of large scale environmental change.     

砂泥岩储层孔隙度和含水饱和度同步反演

基于岩石物理和地震反演理论,提出了一种同步反演储层孔隙度和含水饱和度的方法.以岩石物理为基础,建立了砂泥岩储层物性和弹性参数之间定量的关系-Simon模型,以贝叶斯理论为手段,结合不同类型的砂泥岩储层,建立了多信息联合约束的物性参数反演目标函数,并通过蒙特卡罗和遗传算法相结合的思路求解该目标函数,最终得到孔隙度和含水饱和度的同步反演结果.将该方法应用于河道砂和砂砾岩两种不同的砂泥岩储层中,孔隙度和含水饱和度数据的联合应用,进一步减少了储层预测的多解性,为石油地质综合研究提供了更加丰富准确的基础数据.     

岩石润湿性的核磁共振表征方法与初步实验结果

随着石油勘探开发领域的不断扩大,某些复杂油气藏尤其是致密油气的岩石物理响应,受岩石润湿性变化的影响越来越明显,影响油气藏的评价以及后续勘探开发,识别和评价岩石润湿性成为重要的研究课题.核磁共振弛豫可以有效表征多孔介质孔隙及其流体分布,特别是通过T₁-T₂弛豫图谱能够获得流体分子与孔隙表面相互作用的信息,进而为孔隙表面润湿性质的判断提供了可能性.本文首先讨论了T₁-T₂弛豫谱表征孔隙介质润湿强度的理论基础,然后,采用一阶近似方法对孔隙表面流体分子的核磁共振弛豫分布进行正演模拟,建立T₁/T₂比值法判别孔隙介质润湿性的基本方法.最后,选取玻璃珠和天然砂岩样品进行初步实验,验证方法的合理性.结果表明,当岩石饱和双相流体时,润湿相流体T₁/T₂值高于非润湿相流体,通过观察不同饱和度状态T₁-T₂二维图谱的变化,能够判断岩石的润湿性.本文的理论分析与初步实验结果为岩石润湿性研究提供了新的手段,对核磁共振测井探测储层润湿性也具有一定的应用价值.     

Connectivity constrained segmentation of geologic features

Segmentation of geologic features plays a significant role in seismic interpretation. Based on the segmentation results, interpreters can readily recognize the shape and distribution of geologic features in three-dimensional space and conduct further quantitative analysis. Usually, there are mainly two steps for the segmentation of geologic features: the first step is to extract seismic attributes that can highlight the occurrence of geologic features, and the second step is to apply the segmentation algorithm on the seismic attribute volumes. However, the occurrence of geologic features is not always corresponding to the anomaly value on the seismic attribute volumes and vice versa because of several factors, such as noise in the seismic data, the limited resolution of seismic images and the limited effectiveness of the seismic attribute. Therefore, the segmentation results, which are generated solely based on seismic attributes, are not sufficient to give an accurate depiction of geologic features. Aiming at this problem, we introduce the connectivity constraint into the process of segmentation based the assumption that for one single geologic feature all of its components should be connected to each other. Benefiting from this global constraint, the segmentation results can precisely exclude the interference by false negatives on seismic attribute volumes. However, directly introducing the connectivity constraint into segmentation would face the risk that the segmentation results would deteriorate significantly because of false positives with relatively large area when the connectivity constraints are enforced. Therefore, based on the seismic attribute that highlights the boundary of geologic feature, we further propose a post-processing technique, called pruning, to refine the segmentation results. By taking the segmentation of the channel as an example, we demonstrate that the proposed method is able to preserve the connectivity in the process of segmentation and generate better segmentation results on the field data.     

Probability Data Screening Method in Airgun Signal Processing Application

The signal excited by the airgun source is weak, and is easily affected by human motion noise, instrument failure, and earthquake and blasting events, resulting in insufficient utilization of the amplitude information of the airgun signal. The effective removal of interference and the preservation of true amplitude information of the signal is difficult in airgun signal processing. Based on the randomness of noise and the highly repetitive characteristics of airgun signals, we propose probability data screening method. The airgun data from experiments conducted in the Ansha Reservoir and Shanmei Reservoir in Fujian Province in June, 2017 are taken as the research object to assess the effect in practical applications. The results show that the probability data screening method can automatically reject multiple interferences and effectively preserve the amplitude information of the signal by screening out large amplitude records in appropriate proportions. Compared with direct linear superposition, the probability-related linear superposition method can effectively reduce the impact of abnormal interference, and significantly improve the quality of the observed data.     

广东流溪河水库异尾轮属(Trichocerca)的分布模式及其影响因素

异尾轮虫是热带亚热带地区轮虫的重要优势类群.为了解其在水库中的分布模式和潜在影响因素,于2013-2014年对广东流溪河水库河流区、过渡区及湖泊区的异尾轮虫群落及环境因子进行逐月调查.2年共采集到异尾轮虫11种,其中对棘异尾轮虫(Trichocerca similis)、圆筒异尾轮虫(T.cylindrica)、暗小异尾轮虫(T.pusilla)和刺盖异尾轮虫(T.capucina)为优势种,主要出现在丰水期,具有明显的季节分布模式.2013-2014年河流区、过渡区和湖泊区异尾轮虫丰度平均值分别为142.9、102.5和53.6 ind./L,3个水域的异尾轮虫总丰度在夏季(5-9月)较高.从水库上游到下游,异尾轮属的物种丰富度和Simpson多样性指数呈现递减趋势,体现了群落对环境的分区和稳定性变化的响应.群落丰度组成的主成分分析表明,主要优势种的丰度全年分布差异较大,而多数种类全年分布差异小.冗余分析表明,叶绿素a浓度、晶囊轮虫丰度、水温+磷酸盐浓度分别为影响河流区、过渡区和湖泊区异尾轮虫群落结构的关键变量,而降雨则是影响整个库区异尾轮虫群落结构的潜在变量.     

三峡澎溪河高阳平湖碳通量初步分析及不确定性

为明确三峡水库支流澎溪河回水区的碳收支特征,以澎溪河高阳平湖水域为研究对象,建立了河道型水库主要路径碳收支估算方法,对高阳平湖从2011年9月至2012年8月一个完整水文周年内主要路径的碳通量进行了收支动态分析.结果表明,2011年9月至2012年8月,澎溪河高阳平湖水域河流输入的碳通量为133548.55 t C,输出的碳通量为125651.82 t C,水-气界面的扩散碳通量为762.56 t C,消落带土-气界面的扩散碳通量为123.74 t C,水中气泡的释放碳通量为0.38 t C,降水输入的碳通量为104.58 t C,全年高阳平湖水域碳的净积累量为7114.63 t C,宏观上呈现碳积累特征;澎溪河高阳平湖水域水体碳素总体上呈现出河道型水库特有的纵向输移特征.高阳平湖水域上游大量碳素的输入及其在高阳平湖水域的滞留可能会是该水域水-气界面温室气体释放的主要来源.尽管总体上高阳平湖全年呈现出碳积累的特点,但一些方法依然存在不确定性(水-气界面扩散碳通量和气泡释放碳通量的时空异质性等),需要更系统、更长期的工作予以验证或改进.     

三峡水库香溪河库湾拟多甲藻(Peridiniopsis)的昼夜垂直迁移行为对碳磷分布的响应

于2015年2月26-27日在香溪河库湾高岚河段拟多甲藻(Peridiniopsis)水华发生地昼夜监测其在水体中的垂直迁移,分别在6个时间段(8:00、12:00、16:00、20:00、0:00、4:00)分层取样分析拟多甲藻在水中的叶绿素a浓度、细胞密度、碳酸酐酶(CA)与碱性磷酸酶(AP)活性;分析总磷(TP)、溶解性总磷(DTP)、溶解性反应磷(SRP)与溶解性有机磷(DOP)浓度在水中的垂直分布.结果显示,水华发生期拟多甲藻为绝对优势种,监测的6个时段中,拟多甲藻呈显著的昼夜垂直迁移规律,正午12:00,表层细胞密度最大,可达5.2×10~6cells/L,凌晨0:00表层细胞密度最低,仅为0.4×10~6cells/L;TP与DTP浓度无垂直分布规律,但SRP与DOP浓度呈现显著的垂直分布规律,SRP浓度随水深增加而减小,DOP浓度随水深增加而增加;CA活性日间高于夜间,日间CA活性呈垂直分布规律,随水深增加而减小,但夜间无垂直分布规律;AP活性在水中昼夜呈极其显著的垂直分布规律,随着水深增加逐渐增加.相关性分析结果表明,拟多甲藻细胞密度与水深、DOP浓度呈极显著负相关,水深与CA和AP活性分别呈极其显著负相关与正相关,拟多甲藻细胞密度与CA和AP浓度分别呈极其显著正相关与负相关.因此,拟多甲藻的垂直迁移行为可能是对日间迁移至表层获取光能和无机碳来源、夜间迁移至水下获取磷源的一种适应.     

动态调水过程水文和理化因子共同驱动丹江口水库库湾浮游植物季节变化

丹江口水库是南水北调中线工程水源地,库湾是水库型湖泊水质安全敏感区,动态调水过程库湾水质直接关系到调水安全.为探究动态调水过程中丹江口水库库湾浮游植物季节变化规律和驱动因子,2018年7月—2019年7月,从丹库入库口到渠首调水口,按季节对18个样点进行水质和浮游植物群落组成分析.从整个丹库来看,浮游植物全年总丰度变化范围为0.43×10~3～4.7× 10~6 cells/L,夏季最高,秋季最低;Shannon-Wiener指数春季最高,秋季最低.春季群落为硅藻—绿藻型,夏季为绿藻—硅藻型,秋季为蓝藻型,冬季为蓝藻—绿藻—硅藻型,秋季蓝藻相对丰度最高.位于丹库准保护区内的库湾胡寨,秋季水体电导率、总氮、总磷和叶绿素a浓度最大,蓝藻丰度最高.从入库口经库湾到调水口,浮游植物群落组成存在明显演替.从水文因子来看,秋季水库水位较高,调水流速和流量增加,线性回归分析表明,水位对ShannonWiener指数的影响最为明显,水位越高则多样性指数越低;流量和流速与Shannon-Wiener指数也呈负相关,但相关性较低.方差分解分析发现,水文因子和理化因子共同影响了浮游植物群落组成;偏Mantel分析显示3个库湾浮游植物群落组成与水温、氧化还原电位、化学需氧量、总氮和总磷浓度相关;典范对应分析也表明,总氮是影响库湾浮游植物群落组成最显著的环境因子.人类干扰活动改变了库湾水质理化性质,强干扰提高了蓝藻门丰度.因此,控制库湾人类干扰强度,尤其在水位和调水量较高的秋季,对于改善水体藻类组成、保护整个丹江口水库水质具有重要意义.