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基于时间序列MODIS影像的鄱阳湖丰水期悬浮泥沙浓度反演及变化 总被引：2，自引：0，他引：2
悬浮泥沙浓度是描述水质的重要参数之一,获得其在空间和时间上的分布信息对于理解、管理和保护湖泊生态系统是必要的.此研究旨在建立基于中分辨率成像光谱仪(MODIS)影像的鄱阳湖悬浮泥沙浓度反演模型,并利用建立的模型反演2000-2007年鄱阳湖丰水期的悬浮泥沙浓度,分析其在时间和空间上的变化特征并对引起这些变化的原因进行讨论.研究结果揭示:MODIS Terra影像红波段与悬浮泥沙浓度具有显著的相关性(R2=0.92,s.e.=12.02mg/L,F=154.30,P<0.001),可以用于鄱阳湖丰水期悬浮泥沙浓度的反演;自2000-2007年间,鄱阳湖悬浮泥沙浓度呈明显的时间和空间分布特征,在南部水体悬浮泥沙浓度无明显变化,在北部呈增加趋势,而中部水体泥沙浓度波动较大;鄱阳湖北部的采砂活动是导致此区域悬浮泥沙浓度增加的主要原因,其与长江江水倒灌鄱阳湖共同作用引起鄱阳湖中部泥沙浓度的波动,抚河、信江和饶河输沙量的非显著变化也导致南部鄱阳湖水体悬浮泥沙浓度的非显著变化. 相似文献
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鄱阳湖是目前我国最大的淡水湖,采砂活动对湖泊水质影响明显,但对采砂活动进行全面的现场监管较为困难.不过,采砂船工作时会明显改变附近水体悬浮泥沙的浓度,这一易于被遥感技术检测到的信息为解决这一问题提供了思路.本研究使用2013—2020年共133景GF-1 WFV影像对鄱阳湖采砂活动进行监测,并总结鄱阳湖采砂活动变化的时、空间规律.结果表明,1）2013年以来,鄱阳湖的年平均采砂船检测数呈先增多后减少的趋势,2016年是采砂活动的顶峰,年平均检测数为9.85艘,2019年后采砂船的年平均检测数锐减至3艘左右,其中监管政策是最主要的影响因素;2）鄱阳湖采砂活动向南湖扩展的趋势在2016年得到了有效的遏制,并在2018年后一直维持在很低的水平;3）在2019年全面禁止采砂后,仍然在松门山岛、星子县及笔架山附近监测到了零星的采砂船作业点.本研究不仅可以评估近年来鄱阳湖采砂活动监管的成效,也能给相似水域采砂活动的监管及其效果评估提供参考. 相似文献
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丰水期鄱阳湖水体中氮、磷含量分布特征 总被引：12，自引：7，他引：5
以2011年7月份鄱阳湖实测数据为参考,对鄱阳湖丰水期总氮(TN)、总磷(TP)空间分布特征及其影响因素进行了分析,并就鄱阳湖氮、磷营养盐结构特征及其与叶绿素a的相关性进行了探讨.结果表明:鄱阳湖氮、磷含量已经达到了发生富营养化的条件,且TN含量呈现由东向西、由南向北逐渐降低的趋势;TP在几个主要的采砂区,尤其是南北湖交界处污染最严重.鄱阳湖以磷限制为主,氮污染相对比较严重,且氮、磷不是鄱阳湖藻类生长的限制性因素.TN同时受悬浮泥沙和水流作用的影响,在上游航道受水流影响较大,在入江水道则主要受陆源污染的影响.TP含量则主要受悬浮泥沙和采砂活动的影响,受水流作用影响相对较小. 相似文献
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鄱阳湖不同湖区营养盐状态及藻类种群对比 总被引：4，自引：1，他引：3
在平水期、丰水期和枯水期对鄱阳湖典型天然碟形湖、人控湖汊和主湖区进行了水质、藻类和蓝藻毒素等对比调查,结果表明鄱阳湖各个湖区的水质与藻类种群等差异较大,蓝藻毒素浓度和底泥中铁含量的分布具有一定关联性.在各水文季节蓝藻均为人控湖汊藻类的主要优势种之一.平水期鄱阳湖藻类生物量(叶绿素a浓度)与水体的pH呈正相关关系,与采样点的水深呈负相关关系,碟形湖区水体营养盐浓度和藻类细胞密度均较其他湖区水体低.丰水期各湖区的水质差异相对较小,碟形湖藻类细胞密度仍低于其他湖区,但蓝藻已成为各湖区的优势种,该时期藻类生物量与水体总磷浓度及浊度呈正相关关系.枯水季鄱阳湖各水体藻类生物量与水体总氮浓度、铵态氮浓度及电导率呈正相关关系,碟形湖与主湖区发生了完全分离,水体流动性差,暴发蓝藻水华的风险较高.高温丰枯季节鄱阳湖水体蓝藻毒素浓度与底泥铁含量呈现一定的相关分布关系,底泥铁含量高的地方,其水体蓝藻毒素浓度通常比较高,应警惕鄱阳湖流域富铁红壤流失带来的湖区蓝藻水华风险加剧后果.上述研究结果将为鄱阳湖水环境的预警和污染控制提供科学指导. 相似文献
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针对悬浮泥沙影响水体遥感测深精度的问题,选择长江口南港至南槽为研究区,通过对遥感测深方法研究,结合悬浮泥沙光谱特性分析,把"泥沙因子"引入到水体遥感测深反演模型中,研究表明:1)单因子非线性模型中,指数模型对0-2m的水深反演效果较好,对数模型对2-7m的水深反演较好,二次回归模型对7-14m的水深反演效果较好:2)建立的BP人工神经网络水深反演模型综合了多个波段具有的水深信息,模型的反演效果好于单因子非线性模型;3)实验构建的泥沙遥感参数综合了不同波段具有的悬沙信息,削弱了叶绿素和外界环境条件对泥沙信息的干扰,可较好地反映悬沙浓度变化特征;4)建立的BP人工神经网络泥沙因子水深反演模型削弱了悬浮泥沙对遥感测深的影响,模型实际反演能力明显优于单因子非线性模型和多因子BP人工神经网络水深反演模型. 相似文献
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悬浮泥沙是重要的水质参数之一.应用遥感技术监测悬浮泥沙,学者们提出了众多的悬浮泥沙遥感的经验模型和推导模型.但在缺乏大气参数或没有足够实测数据的情况下,这些模式的精度和准确性得不到保证.针对这种情况,以巢湖为实验区,对三景的巢湖卫星遥感数据进行了如下的数据处理:(1)利用内部平均相对反射率法进行图像的大气校正,得到的相对反射率与真实反射率具有相似的波谱特征;(2)对图像进行了水体提取、二值化、掩膜处理,并通过湖泊泥沙指数SI=(TM2 TM3)/(TM2/TM3)提取了TM数据下的泥沙信息,得到水体含沙量图;(3)按照本文提出的基于遥感图像的不同浓度等级泥沙的划分依据,在泥沙指数图上进行密度分割处理,得到了巢湖泥沙相对浓度分布图.在上述的处理基础上,利用谱间关系法对巢湖水体进行准确提取;结果表明,与实测资料对比,巢湖泥沙相对浓度分布与验证数据一致,实测数据和SI值相关系数为0.89(置信度水平在0.001),表明泥沙指数方法可以直观和定量地反映悬浮泥沙相对浓度的分布与变化;研究结果显示,1987-2000年间,巢湖高浓度悬浮泥沙范围增大了约1.5倍.通过影像差值图清楚地识别出变化区域,主要位于西湖的中心、河口入湖区和东湖的南岸,这种变化的最主要原因是由于各入湖河流携带的大量悬浮泥沙进入水体,其次是岸坡崩塌物形成的. 相似文献
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近30年来鄱阳湖湖盆地形演变特征与原因探析 总被引：1，自引：1，他引：0
利用鄱阳湖1980、1998和2010年3期湖盆水下地形数据,结合出、入湖泥沙输移数据以及流域水土流失、水库建设等资料,较为系统地研究鄱阳湖近30年来湖盆冲淤的时空变化特征及其影响因素.研究表明,1980-1998年,松门山以南主湖体位置淤积现象明显,平均淤高0.82 m,该淤积主要是由这一阶段内流域水土流失加剧所引起的;1998-2010年,在大规模植树造林和水库建设等人类活动影响下,鄱阳湖淤积现象减缓.但是在入江水道上湖盆高程显著下降,平均下降速率高达30.75 cm/a,这与入江水道处持续采砂和水流冲刷等因素有关;近30年来,"五河"入湖的洲滩区域冲淤变化及趋势有所差异,修水、抚河及赣江三角洲呈现逐渐降低的趋势,饶河入湖漫滩总体上以淤积为主,且地形坡度趋于变缓.研究结果对鄱阳湖水资源合理开发、水利工程建设及航运管理等均具有一定的实践和参考价值. 相似文献
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Backflow from the Yangtze River to Poyang Lake occurs frequently due to their different flood seasons. Based on the reasons for and time period of backflow, this study estimated the spatial‐temporal extent and the change of water clarity influenced by sediments within the backflow and northern Poyang Lake using time‐series Moderate Resolution Imaging Spectroradiometer (MODIS) images. The results revealed that the sediments from backflows together with dredging activities in the northern Poyang Lake not only affected the northern Poyang Lake, but also influenced the central and southern Poyang Lake and the Poyang Lake national nature reserve, and resulted in great decline of water clarity in the regions influenced, which could seriously affect the lake ecosystem. The results indicated that MODIS images have potential for monitoring the distribution of sediments from backflows and dredging activities. However, the potential is limited because of the frequent cloud cover in the study area and the characteristics of backflow itself. The dredging activity combined with backflows might have great negative impacts on the Poyang Lake ecosystem, and it would be worthwhile to explore the possible impacts in order to develop scientific knowledge to support the decisions, which need to be made by the responsible authorities for deciding how to rationally manage this unique lake ecosystem Copyright © 2008 John Wiley & Sons, Ltd. 相似文献
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太湖是我国典型的富营养化湖泊,水温是影响太湖藻类生长的重要环境因子之一,我国环境减灾卫星HJ-1B搭载的红外多光谱相机IRS对太湖水温动态遥感监测具有较大的性能优势.利用6景过境太湖的IRS热红外遥感影像,分别采用单通道普适性算法、辐射传输模型法和单窗算法反演太湖水温,并与实测水温和同期的TERRA/MODIS温度产品进行对比.结果表明,普适性单通道算法反演水温偏高,而辐射传输模型法和单窗算法则偏低;3种算法反演水温的均方根误差在1.001 K以内,单窗算法反演精度最高,其次是辐射传输模型法,再次为普适性单通道算法,而同期MODIS温度产品的均方根误差为1.507 K.3种算法从IRS热红外数据反演的水温直方图均呈正峰态、尖峰状态分布,反演结果能真实地反映太湖水温的空间分布特征.本研究对只有单个热红外通道的卫星传感器开展内陆水体水温遥感监测具有一定的参考意义. 相似文献
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J. F. TRUHLAR 《水文科学杂志》2013,58(4):409-417
Abstract The Pennsylvania Department of Transportation and the US Geological Survey are cooperating in several field studies to evaluate sediment control measures used during highway construction. Among the parameters being monitored are suspended sediment concentration and turbidity. Sediment loads are calculated from suspended sediment and water discharge data, but some sediment loads must be determined indirectly because it is virtually impossible to obtain sufficient suspended sediment samples to define all runoff conditions adequately. Sediment discharge-water discharge correlation curves have proved unreliable for streams affected by highway construction, so an alternative method using the turbidity record was developed during these studies. The field data reveal a good correlation between daily mean discharge-weighted turbidity and daily mean discharge-weighted suspended sediment concentration. Turbidity is monitored and recorded continuously, and the daily mean discharge-weighted turbidity is calculated from the turbidity and water discharge data. During periods when there are insufficient suspended sediment data, the daily mean discharge-weighted suspended sediment concentration is determined from the turbidity-sediment correlation and used with the daily mean water discharge to calculate a daily sediment load. This method of determining sediment loads from the turbidity record suggests a possiblity for computation of sediment loads by computer. Instrumentation now in use for recording water quality parameters on digital punch tape could be used to record the output from a turbidimeter. Then, for streams having a good correlation between suspended sediment concentration and turbidity, simultaneous water discharge and turbidity data could be used to determine sediment loads by computer. 相似文献
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Study on the simulation of transparency of Lake Taihu under different hydrodynamic conditions 总被引：2，自引：0，他引：2
It was indicated in this study that there were negative relations between the concentrations of suspended solid (SS) and transparency according to the analysis of measured data of Lake Taihu. Their relations in pervious studies were reviewed, which showed that the changes of transparency in Lake Taihu could be reflected by simulating suspended solid concentration (SSC). Measured data showed that the changes of SSC with wind speed were similar at different water depths. SSC increased with the increasing of wind speed. Both wave and lake current of Lake Taihu had positive relations with SSC. However, wave was the main factor affecting sediment suspension, while flow took the second place. In this study, a numerical model coupling lake current, wave and SSC of Lake Taihu was developed. In the SS model, the combined effects of wave and current were included. The amounts of suspended and deposited sediments near the lake bed surface layer were treated separately. The stochastic characteristics of turbulent flow pulsation near lake beds were also considered, and the start-up conditions of sediment suspension were introduced to the model. The model elucidated the mutual exchange processes between sediment particles in SS and active sediments within and on the bed surface layer. Simulated results showed that lake current had relatively significant effects on the SSC at littoral areas of Lake Taihu, while SSC at the central area of the lake was mainly influenced by wave. The changes of transparency with SSC were simulated for Lake Taihu using this model. Calculated results were validated by measured data with good fitness, which indicated that the model is basically suitable for the simulation and prediction of transparency of Lake Taihu. 相似文献