珠江口典型海岛周边水域浮游植物分布特征及其影响因素*     

苏芯莹  钟瑜  李尧  谭美婷  黄亚东  刘珊  徐向荣  宋星宇 《热带海洋学报》2020,39(5):30-42

旅游业为海岛带来可观经济效益的同时, 人类活动也导致水体生态环境恶化, 如水体富营养化加剧、赤潮频发等。文章通过对珠江口东南部典型海岛——庙湾岛和外伶仃岛周边水域丰水期和枯水期现场环境数据与浮游植物分布特征的对比研究, 分析珠江径流等自然因素以及人类活动对河口天然海岛周边水体生态的潜在影响。枯水期外伶仃岛和庙湾岛周边水域海水分别镜检鉴定出76种和74种浮游植物, 两个海岛浮游植物平均细胞密度分别为2.62×10⁴个·L^-1和2.08×10⁴个·L^-1; 丰水期则分别鉴定出38种和47种浮游植物, 平均细胞密度分别为52.91×10⁴个·L^-1和170.57× 10⁴个·L^-1。在外伶仃岛和庙湾岛, 丰水期中肋骨条藻(Skeletonema coatatum)均为绝对优势种, 而枯水期两个岛的最主要优势种分别为窄隙角毛藻(Chaetoceros affinis)和新月筒柱藻(Cylindrotheca closterium), 物种多样性指数均明显高于丰水期。两个海岛微型浮游植物相对于其他两个粒级常占据优势地位, 但在丰水期, 小型浮游植物贡献明显上升, 其中外伶仃岛相对于枯水期由16.32%升至26.75%, 庙湾岛则由12.12%升高至24.78%。两个海岛在丰水期和枯水期均仅检出聚球藻(Synechococcus, Syn)和真核微微型藻类(eukaryotic, Euk)两大微微型浮游植物类群, 两者细胞密度分别为~10⁷个·L^-1及~10⁸个·L^-1量级。与环境因子的对比分析表明, 两个海岛浮游植物的区域分布与季节变化受多种因素影响, 其季节性差异主要受径流影响强度、影响范围以及相应的盐度、营养盐等环境因素的季节变化所调控。丰水期岛屿屏蔽效应对浮游植物丰度的区域分布特征有显著影响, 无论小型浮游植物还是微微型浮游植物均发现存在迎流面出现丰度高值分布的现象, 但对群落结构的分布影响不明显; 在枯水期, 水体环境很可能主要受人类活动与水体垂直混合扰动的综合影响, 总体上浮游植物分布的区域差异较小。  相似文献   

Changes in run‐off and sediment load in the three parts of the Yellow River basin,in response to climate change and human activities     

Chaojun Gu  Xingmin Mu  Peng Gao  Guangju Zhao  Wenyi Sun 《水文研究》2019,33(4):585-601

Hydrological regimes in the Yellow River have changed significantly because of climate change and intensive human interventions. These changes present severe challenges to water resource utilization and ecological development. Variation of run‐off, suspended sediment load (SSL), and eight precipitation indices (P1: 0–12 mm·day^?1, P12: 12–25 mm·day^?1, P25: 25–50 mm·day^?1, P50: P ≥ 50 mm·day^?1 and corresponding rainfall day: Pd1, Pd12, Pd25, Pd50 day year^?1) in three critical parts of the Yellow River basin (source region: SRYRB, upper reaches: URYRB, middle reaches: MRYRB) were investigated for the period from 1960 to 2015. The results show that run‐off and SSL significantly decreased (P < 0.01) in the URYRB and the MRYRB, whereas their decline in the SRYRB was insignificant (P > 0.05). Moreover, run‐off in the URYRB had one change point in 1987, and SSL in the URYRB as well as run‐off and SSL in the MRYRB had two change points (in the 1970s and the 1990s). Over the same period, only Pd1 and Pd12 in the SRYRB showed significant increasing trends, and an abrupt change appeared in 1981. The optimal precipitation indices for assessing the effects of precipitation on run‐off and SSL in the URYRB and MRYRB were Pd50 and P12, respectively. A double‐mass curve analysis showed that precipitation and human activities contributed to approximately 20% and 80% of the reduction in run‐off, respectively, for both the SRYRB and the MRYRB. However, the contribution rate of precipitation and human activities on SSL reduction was approximately 40% and 60% in the URYRB and 5% and 95% in the MRYRB, respectively. Human activities, primarily soil and water conservation measures and water extraction (diversion), were the main factors (>50%) that reduced the run‐off. However, the dominant driving factors for SSL reduction were soil and water conservation measures and reservoir interception, for which the contribution rate was higher than 70% in the MRYRB. This work strengthens the understanding of hydrological responses to precipitation change and provides a useful reference for regional water resource utilization.  相似文献   

Artificial neural network simulation for prediction of suspended sediment concentration in the River Ramganga,Ganges Basin,India     

Mohd Yawar Ali Khan  Fuqiang Tian  Faisal Hasan  Govind Joseph Chakrapani 《国际泥沙研究》2019,34(2):95-107

The relation between the water discharge (Q) and suspended sediment concentration (SSC) of the River Ramganga at Bareilly, Uttar Pradesh, in the Himalayas, has been modeled using Artificial Neural Networks (ANNs). The current study validates the practical capability and usefulness of this tool for simulating complex nonlinear, real world, river system processes in the Himalayan scenario. The modeling approach is based on the time series data collected from January to December (2008–2010) for Q and SSC. Three ANNs (T1-T3) with different network configurations have been developed and trained using the Levenberg Marquardt Back Propagation Algorithm in the Matlab routines. Networks were optimized using the enumeration technique, and, finally, the best network is used to predict the SSC values for the year 2011. The values thus obtained through the ANN model are compared with the observed values of SSC. The coefficient of determination (R²), for the optimal network was found to be 0.99. The study not only provides insight into ANN modeling in the Himalayan river scenario, but it also focuses on the importance of understanding a river basin and the factors that affect the SSC, before attempting to model it. Despite the temporal variations in the study area, it is possible to model and successfully predict the SSC values with very simplistic ANN models.  相似文献   

Satellite-based monitoring of contrasting characteristics of suspended sediment discharged from the Red and the Ma river systems along the northern coast of Vietnam     

Yoshimitsu Tajima  Kavinda Gunasekara  Hung Thanh Nguyen 《国际泥沙研究》2019,34(3):191-204

The northern coast of Vietnam has accumulated a significant amount of sediment discharged from the multiple distributaries of rivers such as the Red River and Ma River. While recent decreases of the sediment supply appears to have a significant impact on coastal erosion, the complex network of these distributaries makes it difficult to determine the overall spatiotemporal characteristics of sediment discharges and related topographic changes. The goal of the current study is to develop a satellite-based monitoring system for observation of turbidity discharged from the multiple rivers and to investigate the applicability of the developed monitoring system through a case study on the northern coast of Vietnam. Based on the in-situ observed data, a formula was determined for estimation of the surface water turbidity as a function of the red band reflectance of Moderate Resolution Imaging Spectro-radiometer (MODIS) images. The formula was then combined with a newly determined threshold for cloud-masking to obtain maps of the nearshore turbidity patterns. These maps capture the spatiotemporal water surface turbidity along the entire coast of the Red River Delta and the coast around the Ma River mouth over the past sixteen years with frequency of twice a day. Finally, long-term trends of the turbidity patterns from multiple rivers were compared with the in-situ observation data and it was found that the Red River and the Ma River showed clearly contrasting characteristics, which reasonably explain the recent coastal shoreline changes and characteristics of sediment sampled along the coast.  相似文献   

云南小江流域典型泥石流沟中底栖动物群落特征及其对河流地貌的响应   总被引：2，自引：2，他引：0  

朱朋辉  潘保柱  李志威  蒋小明  赵娜  赵耿楠  何浩然 《湖泊科学》2019,31(3):869-880

云南小江流域为典型干热河谷区，该区域干热少雨，流域内泥石流沟众多，生态环境十分脆弱.2017年4月和9月对小江流域的吊嘎河、蒋家沟、蓝泥坪沟、清水沟、陶家小河5条泥石流沟及小江干流开展了系统调查，旨在摸清5条泥石流沟及小江干流河流地貌、水环境及底栖动物群落现状，分析不同河床结构发育程度的泥石流沟间的底栖动物群落差异，揭示底栖动物对反映河床结构发育程度的河流地貌特征参数凹凸度的响应关系.调查期间于5条泥石流沟及小江干流中共采集到底栖动物70种，隶属于4门6纲38科69属，其中环节动物6种，软体动物2种，节肢动物61种，扁形动物1种.从种类类群来看，5条泥石流沟及小江干流的底栖动物物种数、密度、生物量上均以节肢动物占绝对优势，分别占总量的78.0%~92.5%、98.7%~100%、65.0%~100%.从功能摄食类群上来看，5条泥石流沟及小江干流底栖动物密度上均以直接收集者为主，占总量的74.3%~96.3%.回归分析表明，5条泥石流沟中底栖动物物种数、密度及生物量均与河流地貌特征参数凹凸度呈正相关关系，由此可见，发育良好的河床结构在维持河流地貌稳定和改善河流生态方面起着举足轻重的作用.本研究结果可为小江流域山区河流泥石流沟河床结构重建及生态修复提供科学依据.  相似文献   

帕隆藏布流域冰湖变化及危险性评估     

刘娟  姚晓军  高永鹏  祁苗苗  段红玉  张大弘 《湖泊科学》2019,31(4):1132-1143

冰湖作为区域气候变化的灵敏指示器和主要冰川灾害的启动器，认识其空间分布及变化特征对探讨冰湖对气候变化的响应规律及冰湖溃决危险性评估具有重要意义.基于1968-1980年地形图数据和1994-2016年Landsat TM/OLI遥感影像资料，综合利用RS、GIS技术和数理统计方法分析帕隆藏布流域面积≥ 0.01 km²冰湖时空分布及其动态变化，并对潜在危险性冰湖进行判别和评估.结果表明：2016年帕隆藏布流域共有冰湖351个，面积50.48 km²，且面积和数量分别以面积>1 km²和面积<0.1 km²的冰湖为主，这些冰湖主要分布于海拔2800~5400 m之间.近50年来帕隆藏布流域冰湖总体呈数量增多、面积增加态势；海拔<3000 m的冰湖相对稳定，而海拔>4500 m的冰湖数量和面积增加则相对迅速.近50年间帕隆藏布流域冰川面积减少591.34 km²，气候变暖导致的冰川末端退缩和冰川融水增加为冰湖形成和扩张提供了发育空间和物质来源.切毛措、光谢错等9个冰湖为潜在危险性冰湖，预计未来一段时间内帕隆藏布流域冰湖溃决可能处于活跃阶段，其形成和暴发也将更加频繁.  相似文献   

筑坝拦截对黑河河道沉积物粒度空间分布的影响   总被引：2，自引：1，他引：1  

王昱  连运涛  冯起  王之君  赵维俊  刘娟娟  卢世国  张昕雨 《湖泊科学》2019,31(5):1459-1467

河流沉积物对流域环境变化具有敏感响应，其粒度参数能反映沉积环境中物质来源和水动力环境.本文以黑河流域上中游为研究区域，探究河流沉积物粒度对流域环境变化的响应.从黑河上中游干流22个主要控制断面采集河床沉积物样品，采用筛分法和吸管法对沉积物样品粒度参数进行测定，并分析其空间分布规律对筑坝拦截为主的环境改变响应.研究结果表明：受梯级水库建设影响，黑河上中游泥沙粒径大小差异显著.干流库区泥沙粒径较自然河段明显减小，分选很好，呈正偏或极正偏尖锐分布，而且在库区不同沉积高度上表现出分层沉积特征；坝下游河段因遭受强烈冲刷，较自然河段泥沙粒径粗化显著，分选变差，偏态趋向极正偏，峰态尖锐化；水库回水区受水库壅水及下泄清水的双重制约，泥沙粒度参数介于自然河段和坝下游河段之间，整体分选中等，呈极正偏尖锐分布；沉积环境分析表明，上游支流河段沉积物粒度特征受泥沙供给和物源特征的影响较水动力条件显著，干流河段沉积物粒度特征主要受水动力条件控制.研究结果既符合河流上中游沉积物粒度分布规律，也反映了河流环境变化对沉积物粒度组成的影响.  相似文献   

水库温室气体净通量评估模型(G-res Tool)及在长江上游典型水库初步应用     

张斌  李哲  李翀  陈永柏  郭劲松 《湖泊科学》2019,31(5):1479-1488

目前准确量化温室气体排放量已成为气候变化研究和政策制定的关键.在IPCC水库温室气体净通量的概念性框架下，国际水电协会汇总分析了全球223座水库的CO₂和CH₄研究成果，构建了G-res Tool，其可以用于评估已建或待建水库在长时间尺度下的温室气体净通量.本文介绍了G-res Tool模型的基本原理与模型框架，利用模型内置数据库中所涉及的中国长江上游12座典型水库数据进行初步应用分析，12座水库温室气体净通量平均值为88.17 g CO₂e/（m²·a），在全球约7000座水库中所处水平为11.67%，处于低阈值范围.在水库温室气体净通量分析结果中，其他非相关人类活动产生的水库温室气体通量（UAS）在蓄水后总通量（Post）中所占比重远高于蓄水前温室气体通量（Pre）.长江上游水库蓄水后的CH₄和CO₂通量对于温室效应的贡献量相当.通过将G-res Tool模型蓄水后的温室气体通量评估结果和所涉及到的12座水库中已发表的数据对比分析发现，G-res Tool具有简便、适用面广等特点.但G-res Tool毕竟仍为经验性模型，其基本原理和模块设计上的内在缺陷在很大程度上限制了其应用范围并造成了一定的不确定性.对个案水库而言，长期跟踪观测与机理研究仍是未来减少水库温室气体净通量不确定性的关键.  相似文献   

三峡水库175 m试验性蓄水期调度运行对洞庭湖蓄水量变化的影响     

付湘  赵秋湘  孙昭华 《湖泊科学》2019,31(6):1713-1725

长江干流与洞庭湖存在复杂的并联型分汇关系,当三峡水库调度改变长江径流过程时,会引起洞庭湖年内槽蓄量的变化,对于洞庭湖地区防洪、水资源配置和水环境保护产生显著的影响.本文建立了枝城至螺山站的荆江-洞庭湖水流模型,利用2008-2017年的三峡水库实际调度日数据,分析有、无三峡水库调度两种情况下洞庭湖槽蓄量的变化过程,同时利用建库前和近期的水位流量关系反映河道过流能力,分析了河道调整的影响.结果表明:由河道调整引起的槽蓄量变化在汛前消落期、汛期、汛末蓄水期和枯水期分别为-3.06%、0.12%、-0.01%和-13.31%.有三峡水库影响情况下,汛前消落期由于荆江"三口"进入洞庭湖的多年平均总径流增加23.94%,洞庭湖出口处城陵矶多年平均水位升高0.53 m,阻碍了洞庭湖出流,洞庭湖多年平均槽蓄量增长13.30%;汛期由于荆江"三口"分流量减少3.54%,城陵矶水位降低0.02 m导致出湖流量增多,因此洞庭湖多年平均槽蓄量减少0.20%;在汛末蓄水期,荆江"三口"分入洞庭湖的多年平均总径流量减少37.18%,城陵矶多年平均水位降低1.33 m,导致出湖流量增多,因而洞庭湖多年平均槽蓄量减少27.74%;在枯水期,荆江"三口"多年平均总径流量增加5.61%,城陵矶多年平均水位上升0.07 m,最终洞庭湖多年平均枯期槽蓄量增加2.96%.  相似文献   

Predicting groundwater level of wells in the Diyala River Basin in eastern Iraq using artificial neural network          下载免费PDF全文

Abdulrahman Th Mohammad  Qassem H Jalut  Nadia L Abbas 《地下水科学与工程》2020,8(1):87-96

Al-Mansourieh zone is a part of Al-Khalis City within the province of Diyala and located in the Diyala River Basin in eastern Iraq with a total area about 830 km2.Groundwater is the main water source for agriculture in this zone.Random well drilling without geological and hydraulic information has led the most of these wells to dry up quickly.Therefore,it is necessary to estimate the levels of groundwater in wells through observed data.In this study,Alyuda NeroIntelligance 2.1 software was applied to predict the groundwater levels in 244 wells using sets of measured data.These data included the coordinates of wells(x,y),elevations,well depth,discharge and groundwater levels.Three ANN structures(5-3-3-1,5-10-10-1 and 5-11-11-1)were used to predict the groundwater levels and to acquire the best matching between the measured and ANN predicted values.The coefficient of correlation,coefficient determination(R2)and sum-square error(SSE)were used to evaluate the performance of the ANN models.According to the ANN results,the model with the three structures has a good predictability and proves more effective for determining groundwater level in wells.The best predictor was achieved in the structure 5-3-3-1,with R2 about 0.92,0.89,0.84 and 0.91 in training,validation,testing and all processes respectively.The minimum average error in the best predictor is achieved in validation and testing processes at about 0.130 and 0.171 respectively.On the other hand,the results indicated that the model has the potential to determine the appropriate places for drilling the wells to obtain the highest level of groundwater.  相似文献