赤潮监测技术的现状与发展

赤潮监测是对赤潮进行研究和实施管理控制的重要环节,通过监测获取重要信息,为赤潮研究提供重要资料,也是赤潮预测、预报和减灾的依据。本文介绍了中国赤潮监测技术的三个发展阶段,赤潮监测技术方法及其两个发展方向。目前我国赤潮监测技术基础比较薄弱,今后利用遥感等先进技术、完善赤潮应急监测系统,将大大加强赤潮监测力度,急时跟踪赤潮发生状况。     

中国海域赤潮发生趋势的年际变化

回顾了中国海域的赤潮发生频次等数据的年际变化,尤其是进入21世纪的赤潮发生趋势,以期为赤潮灾害分析和防治提供帮助。数据表明,赤潮问题已不容忽视。总体上,赤潮发生的频次和累计面积呈现增长趋势,尤其是21世纪前10年的赤潮发生频次和规模是20世纪后50年的2倍多。与20世纪不同,东海的赤潮问题最严重,远远超过了南海;而渤海的赤潮规模也明显增加,此2海区成为赤潮的重灾区。赤潮多发生在5、6月份,但有延长的态势,对赤潮监测和预防提出了新的要求。赤潮生物,特别是有毒藻类不断增加,对渔业和人类健康造成威胁。同时也看到,赤潮的发生并非持续上涨,赤潮是可以防治的。     

近年来深圳海域的赤潮及发展趋势

通过对 1 996～ 2 0 0 0年期间深圳海域赤潮发生的回顾及主要赤潮事件的分析 ,阐明近年来深圳海域赤潮发展趋势为 :(1 )赤潮类型多样 ;(2 )出现新记录种类和有毒种类赤潮 ;(3 )持续时间长 ,危害程度大 ;(4 )频率增多 ,范围扩大 ;(5 )呈全年式的模式。并列举了深圳沿海近岸主要赤潮生物种名和对渔业造成危害的赤潮藻     

舟山近岸海域赤潮优势种中肋骨条藻的生长模型

中肋骨条藻是舟山近岸海域的赤潮优势种,常有大小不等的中肋骨条藻赤潮发生.本文采用多元线性回归模拟春秋两季非赤潮期中肋骨条藻的生长趋势,以探讨影响此种藻类生长的重要因子.结果表明,春季影响中肋骨条藻生长的重要因子包括盐度、无机氮、悬浮物、水温和pH;秋季影响中肋骨条藻生长的重要因子包括溶解氧、活性磷酸盐、悬浮物、硅酸盐、COD和盐度.并与前人的研究结果相比较,从而发现赤潮期和非赤潮期共同的或不同的影响骨条藻生长的因素.     

烟台四十里湾赤潮发生与生态环境污染研究

烟台四十里湾海域为赤潮频发区,就赤潮发生的区域分布与其生态环境污染进行探讨研究,以引起社会有关方面正确认识和评价水产养殖业对海洋环境的影响。结果显示: (1)1998~2008年间排入四十里湾的各类污染物总量以贝类养殖排泄物居首,赤潮发生的几率及范围与贝类养殖面积、N、P和C排泄物年际变化有直接必然关系; (2)湾内初级生产力较高,由贝类养殖排泄转化的无机碳占湾内基础物质总量的65%~90％; (3)湾内赤潮生物16种,优势种有红色裸甲藻、中肋骨条藻、海链藻,红色裸甲藻是该湾引起赤潮最常见的赤潮生物种; (4)四十里湾最大流发生在养马岛以外的东北水域,流速值在17~20cm/s 左右,养马岛西南端流速最低,仅为4~5cm/s左右,受水建工程和筏式养殖的干扰,养殖区内流速有所减缓,不利于污染物扩散。研究表明,特定的地理环境及物质条件十分适合藻类的生长繁殖,一旦遇到适宜的水文气象条件,赤潮藻即有骤然快速增殖而形成赤潮。     

东海赤潮发生时的营养盐分布研究

2010年春季对东海海域进行了赤潮专项调查,在3个海区发现有赤潮发生。对这些海区的水质和浮游植物进行了监测和分析。结果表明,调查中发现的赤潮原因种有东海原甲藻和中肋骨条藻2种;活性磷酸盐和铵盐是发生中肋骨条藻赤潮的重要营养条件,东海原甲藻可以耐受低营养环境,调查海区在较低的温度(17℃)下也能发生东海原甲藻赤潮。     

廉洲湾赤潮自动监测结果与分析

根据2009年7月广西廉洲湾海域三个自动监测站的实时监测数据,对赤潮发生的过程进行分析,发现此次赤潮过程中,溶解氧、pH值、叶绿素存在明显的昼夜变化规律,且出现同步升高回落现象。通过现场采样分析与比对,表明自动监测站可实现对赤潮的预警预报。     

基于机器学习的浮标实时自动化赤潮预警研究

实现赤潮预警对于减轻海洋环境灾害、避免海洋产业特别是海洋渔业重大经济损失具有重要意义。针对当前水文监测数据海量却难以实现实时自动化监测与预警,特别是难以利用传统监测手段实现对危害更大的赤潮的精准实时预测这一显著问题,提出利用浮标数据作为依据,借助机器学习在大数据分析和智能决策方面的优势,建立一种新颖的双重递进式赤潮预警机制的方法。首先,通过相关算法分析历史数据,以确认赤潮初步预警阈值;其次,对叶绿素a、pH、溶解氧等重要监测指标的当前和阶段性变化进行初步分析,判断是否达到预警触发条件;然后,进一步联合分类、回归、聚类、神经网络等机器学习相关方法,对数据进行深度挖掘;最后,通过这种递进式的机制对短期内是否会发生赤潮作出判断,以实现赤潮自动化预警预报。在此基础上,利用宁波梅山湾实际监测数据,证实了该方法在赤潮实时自动化预警中的有效性。     

基于人工神经网络的夜光藻密度预测模型

利用人工神经网络 BP算法 ,对各种理化因子与赤潮中夜光藻密度建立了人工神经网络预报模型 ,并利用该模型对各种理化因子与夜光藻密度的非线性对应规律进行了研究。结果表明 ,模型较好地反映了存在的对应规律     

浙江沿海赤潮状况及防治对策

赤潮是在特定的环境条件下 ,海水中某些浮游植物、原生动物、细菌爆发性增殖或高度密集而引起水体变色的一种有害的生态异常现象[1 ] 。近年来 ,我国沿海近岸水域赤潮频繁发生 ,严重影响了海产品的生产和海洋环境质量。1　浙江沿海赤潮状况浙江沿海 ,包括 2 7°1 0′Ｎ～ 2 9°     

珠江口四大口门及近滩水域浮游藻类和关键水质因子的监测与分析

对珠江口四大口门虎门、蕉门、洪奇沥、横门及近滩为主的水域进行浮游藻类发生与关键水质因子 (溶解氧(DO)、活性磷 (PO3- 4-P)、硝酸盐 (NO- 3-N) )的监测与总结 ,得出二者间具有较高相关性。为珠江口水域水质、浮游藻类生态及赤潮研究做些基础工作与贡献。     

Numerical Study of Hydrodynamic and Solute Transport with Discontinuous Flows in Coastal Water

This paper aimed to develop a depth-averaged explicit model for flow and pollutant transport in coastal waters based on the shallow water equations and the mass advection-diffusion equation. The proposed model was discretized using the finite volume method (FVM) with triangular cells. Then, it applied Roe’s approximate Riemann solution to compute the water momentum flux on the grid interfaces. This model enabled the higher accuracy in capturing the dry-wet moving fronts (discontinuous problems for flow and solute). The high-resolution scheme was evaluated to solve the advection and diffusion terms for mass transport. The model was verified by comparing the predictions of analytical solutions, laboratory tests, and other simulations for Gironde estuary with good computational accuracy. The developed model was also used to calculate the circulation and the motion of chemical oxygen demand (COD) pollutants from the sewage outfalls in the Zhuanghe coastal water with dry and wet moving boundaries. The research results showed that the residual current directions of spring and neap tides were basically the same in the Zhuanghe coastal water. However, the tide residual current of spring tide was slightly greater than that of the neap tide. In addition, there were tide residual currents from the northeast to the southwest in nearshore water and from the southwest to the northeast outside the banks, respectively. The tidal flows in the alongshore direction were strong, resulting in highly spread concentration distributions. In particular, the COD concentration reached some parts of the southern water. It could be seen that the excessive pollutant discharge from the sewage outfalls located at Zhuanghe district would cause serious pollution in aquaculture water near Shicheng island.     

An object-based image analysis approach for aquaculture ponds precise mapping and monitoring: a case study of Tam Giang-Cau Hai Lagoon, Vietnam

Monitoring and mapping shrimp farms, including their impact on land cover and land use, is critical to the sustainable management and planning of coastal zones. In this work, a methodology was proposed to set up a cost-effective and reproducible procedure that made use of satellite remote sensing, object-based classification approach, and open-source software for mapping aquaculture areas with high planimetric and thematic accuracy between 2005 and 2008. The analysis focused on two characteristic areas of interest of the Tam Giang-Cau Hai Lagoon (in central Vietnam), which have similar farming systems to other coastal aquaculture worldwide: the first was primarily characterised by locally referred “low tide” shrimp ponds, which are partially submerged areas; the second by earthed shrimp ponds, locally referred to as “high tide” ponds, which are non-submerged areas on the lagoon coast. The approach was based on the region-growing segmentation of high- and very high-resolution panchromatic images, SPOT5 and Worldview-1, and the unsupervised clustering classifier ISOSEG embedded on SPRING non-commercial software. The results, the accuracy of which was tested with a field-based aquaculture inventory, showed that in favourable situations (high tide shrimp ponds), the classification results provided high rates of accuracy (>95 %) through a fully automatic object-based classification. In unfavourable situations (low tide shrimp ponds), the performance degraded due to the low contrast between the water and the pond embankments. In these situations, the automatic results were improved by manual delineation of the embankments. Worldview-1 necessarily showed better thematic accuracy, and precise maps have been realised at a scale of up to 1:2,000. However, SPOT5 provided comparable results in terms of number of correctly classified ponds, but less accurate results in terms of the precision of mapped features. The procedure also demonstrated high degrees of reproducibility because it was applied to images with different spatial resolutions in an area that, during the investigated period, did not experience significant land cover changes.     

东伶仃洋海域水质调查

选择出11项评价因子,采用单项分指数法和平均分指数法,在涨潮、落潮、涨落潮时分别对伶仃洋东部海域水质进行监测,并与历史资料进行对比,对评价因子超标进行评价和原因分析,提出了补救与预防措施.