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为了研究成都市水质富营养化情况,选取了龙泉湖作为研究对象,通过对龙泉湖实地采集水样以及高分一号实时遥感影像数据进行处理,准确地评价出了龙泉湖水体所处的富营养级别。通过对龙泉湖实地数据进行水样参数浓度测量以及实地光谱曲线处理,获得相关的水质反演所需的敏感波段或者波段组合,得出了5个水质参数的反演公式,既而对校正预处理过的高分一号遥感数据进行富营养等级评价。在对各个评价的指标参数进行分析后,选择适合龙泉湖富营养状态评价的叶绿素chl_a、总磷TP、总氮TN、透明度SD、高锰酸盐CODmn五个参数指标,利用综合营养状态指数法对整体水域进行水质富营养化评价,得出龙泉湖目前处于中度营养状态,并初步进行了准确性分析论证。 相似文献
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运用3DEEMs及荧光偏振方法研究pH、离子强度及浓度效应对腐殖酸荧光光谱特性的影响 总被引：6，自引：0，他引：6
利用三维荧光激发.发射光谱(3DEEMs)及荧光偏振法研究了3例腐殖酸和1例湖泊溶解有机物(DOM)在不同腐殖酸浓度、离子强度和pH条件下的荧光光谱特性.实验结果表明,随着浓度增大,各腐殖酸样的荧光强度增大,其中垃圾渗滤液腐殖酸和Pahokee泥炭腐殖酸的荧光峰出现红移.随着浓度进一步增大,腐殖酸的荧光偏振值增大,由此推断在此浓度范围内腐殖酸由于分子间的排斥作用使其构型出现伸展.离子强度增大导致腐殖酸及阿哈湖DOM的荧光强度降低.随着氯化钾(KCI)浓度增大,Fluka腐殖酸的荧光峰A蓝移,荧光峰B的荧光偏振值出现减小,推测是由于静电中和作用使其荧光基团发生卷曲造成的.离子强度对其余腐殖酸样和阿哈湖DOM的其他荧光特性没有明显的影响.总的来说,pH值的变化对腐殖酸和湖泊DOM的荧光特征的影响是很明显的.随着pH值增大,腐殖酸和湖泊DOM的荧光强度增强.而pH值减小时,Fluka腐殖酸和Pahokee泥炭腐殖酸的荧光峰(A峰)蓝移,当pH值降到5时,Fhka腐殖酸的荧光峰突然红移到最大,随后又继续蓝移;垃圾渗滤液腐殖酸和阿哈湖DOM的荧光峰位无明显的漂移.所有样品的荧光偏振值都减小(但阿哈湖DOM的A峰变化不大),但在pHi≤5时又增大,这种现象表明随着pH值降低,腐殖酸和湖泊DOM中有机大分子发生卷曲,但在pH≤5时由于羧基的质子化又以平面伸展构型出现在溶液中. 相似文献
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水质遥感监测方法可以反映水质在空间和时间上的分布情况和变化,满足目前对水质调查实时、大尺度的评价要求。文章以云南抚仙湖星云湖为研究区,将实测的叶绿素a浓度、悬浮物含量和MODIS遥感数据各波段比值进行相关分析,结果表明:MODIS数据250m分辨率的r2/r1的波段组合能够较好地反演叶绿素a浓度,而500m分辨率的(r4-r3)/(r4+r3)的波段组合对于悬浮物浓度的反演能力最好。通过对它们进行回归关系分析,得到适合抚仙湖星云湖的遥感定量模型。 相似文献
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利用野外高光谱仪(ASD Field Spec radiometer)在长春南湖进行了反射光谱测量和同步水质采样分析,通过研究水体藻类叶绿素a浓度与其高光谱反射特征之间的相关关系,采用单波段反射率、反射率比值法和一阶微分法分别建立了叶绿素a的高光谱定量模型。结果表明:三者与叶绿素a线性相关程度都比较高,决定系数在0.70左右,而且其显著水平P<0.01,都可以用于叶绿素a的定量遥感,其中单波段模型效果最好。为今后利用高光谱传感器在南湖进行叶绿素a浓度大面积遥感反演提供了研究基础。 相似文献
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基于2004年夏季水华暴发期和冬季在梅梁湾及大太湖各2次采样,分析了夏季、冬季CDOM的特征及其可能的来源,发现夏季CDOM吸收系数、叶绿素a浓度均明显高于冬季,DOC浓度、CDOM吸收系数a(355)的变化范围分别为5.17～12.42 mg/L、2.57～6.77 m-1,最大值均出现在冬季(12月15日)的直湖港入湖口.CDOM吸收系数与DOC浓度、定标后的荧光值一般都存在显著正相关,但夏季由于受浮游植物降解的影响,与DOC浓度和荧光的相关性明显低于冬季.表征CDOM组成和来源的参数比吸收系数、M值、S值存在显著的季节差异,夏季吸收系数a*(355)值明显要大于冬季,而S值、M值则要小于冬季.夏季水华暴发时CDOM吸收系数与叶绿素a浓度空间分布较为一致,吸收系数与叶绿素a浓度存在正相关,浮游植物降解产物可能是水体中CDOM的重要来源;相反,冬季CDOM吸收系数呈现从梁溪河入湖口、湾内往湾口递减的趋势,其来源可能主要以陆源为主,受入湖河流的影响较大. 相似文献
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水深作为重要的湖泊水文因子,对湖泊水动力过程、化学过程和生态过程具有重要的影响。通过对1993-2002年太湖水深水质实测资料的回归分析,建立了太湖7个分区的水深与总氮、总磷、叶绿素a浓度的回归方程。结果表明,叶绿素a浓度对水深变化的响应并不显著。一般情况下,水深变化对营养盐浓度的影响不显著,但在特定的湖区,如梅梁湾,水深变化对营养盐浓度的影响显著。鉴于水深变化可以对太湖局部区域的水环境具有显著的影响,因此存在通过太湖流域水利工程的联合运行,人为调控特定湖区水深,在一定程度上改善水质的可能性。 相似文献
7.
采用新型分析技术三维荧光谱图方法对深圳东江水源工程水体中藻类进行了荧光分析。实验结果表明,水体中有较丰富的藻类,其中蓝藻、绿藻呈优势藻种,实验期间沿程水体叶绿素a浓度在1.71~16.43μg/L之间,藻密度在72.92万~1 375万个/L之间。三维荧光方法能较好表征水体中生长藻类种类和数量,三维荧光强度F(A.U)与叶绿素a浓度Chla(μg/L)、藻密度N(104个/L)呈较好的线性关系。三维荧光方法能较好的鉴别水体中可溶性有机物腐殖酸和蛋白质,并表征其含量多少。 相似文献
8.
基于遗传神经网络的克钦湖叶绿素反演研究 总被引：2，自引：0，他引：2
叶绿素a浓度能够在一定程度上反映内陆湖泊水质情况。为实现对克钦湖水体叶绿素a浓度的监测,于2010年8月15日对克钦湖进行了现场光谱测量和同步采样。通过分析叶绿素a浓度和光谱数据之间的关系,建立基于反射比、人工神经网络和遗传神经网络的叶绿素a浓度估测模型。结果表明:利用R700nm/R670nm反射比建立的模型估测精度为R2=0.67;人工神经网络模型的估测精度较高,R2=0.882;将遗传算法引入神经网络之后,模型的估测精度进一步提高,R2达到0.956,将模型预测的结果与克里格内插法相结合对研究区的叶绿素a空间分布情况进行定量估测,发现北湖的叶绿素a浓度明显高于南湖,有由北向南逐渐递减的趋势,这为今后利用高光谱数据对克钦湖叶绿素a浓度大面积遥感反演提供了研究基础。 相似文献
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2004年7月20日在五里湖南岸生态示范工程区共布设9个采样点进行水下光场的测定,并采集水样分析悬浮物、叶绿素a、DOC浓度和各组分吸收系数。结果表明,3类主要光衰减物质总悬浮物、叶绿素a和DOC的浓度分别为5.1~38.7 mg/L、25.5~86.4μg/L和7.43~8.74 mg/L;生态示范工程能明显降低水体悬浮物和叶绿素a浓度,Ⅱ类区总悬浮物、叶绿素a浓度相对Ⅰ类区分别降低了53.4%、33.0%,而Ⅲ类区总悬浮物、叶绿素a浓度相对Ⅰ类区分别降低了77.4%、65.0%。光合有效辐射(PAR)衰减系数在1.81~4.93 m-1间变化,对应的真光层深度为0.93~2.54 m,Ⅱ、Ⅲ类区相对Ⅰ类区PAR衰减系数分别降低了42.2%、52.8%,对应的真光层深度则分别增加了73%、112%。ag(440)、ad(440)、aph(440)的变化范围分别为0.79~1.31 m-1、0.41~2.22 m-1、0.73~2.12 m-1。纯水对总吸收的贡献均在15%以下,有色可溶性有机物(CDOM)吸收对总吸收的贡献率在18.16%~40.28%间变化,非藻类颗粒物对总吸收的贡献率在14.40%~37.88%间变化,浮游藻类对总吸收系数的贡献率基本上是各组分贡献率中最高的,在31.05%~45.28%间变化。对PAR衰减系数、真光层深度、透明度等表观光学参数与主要水色因子进行相关分析发现,水体中浮游藻类和有机颗粒物对生态示范区内的水体光学性质影响最大,而围隔外围浮游藻类、非藻类颗粒物对光的衰减相当。 相似文献
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介绍了内陆湖泊水质遥感监测的特点及遥感监测水质的机理;总结了国内外近年来用于内陆湖泊水质参数反演的3种常用方法:经验模型、半经验法和机理模型法,并分析了3种模型的优缺点;讨论了目前遥感在水质监测应用中存在的问题和未来该领域研究的重点。 相似文献
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Jin Yaqiu 《Frontiers of Earth Science》2007,1(3):284-298
This paper briefly presents the research progress of the State Major Basic Research Project 2001CB309400, “Theory and Application
for Retrieval and Fusion of Spatial and Temporal Quantitative Information from Complex Natural Environment”. Based on the
rapid advancement of synthetic aperture radar (SAR) imagery technology, information theory of fully polarimetric scattering
and applications in polarimetric SAR remote sensing are developed. To promote the modeling of passive microwave remote sensing,
the vector (polarized) radiative transfer theory (VRT) of complex natural media such as inhomogeneous, multi-layered and 3-dimensional
VRT is developed. With these theoretical progresses, data validation and retrieval algorithms for some typical events and
characteristic parameters of earth terrain surfaces, atmosphere, and oceans from operational and experimental remote sensing
satellites are studied. Employing remote sensing, radiative transfer simulation, geographic information systems (GIS), land
hydrological process, and data assimilation, the Chinese land data assimilation system (CLDAS) is established. Towards the
future development of China’s microwave meteorological satellites, employing remote sensing data of currently available SSM/I
(special sensor microwave/imager), AMSU (advanced microwave sounding unit), MTI (microwave temperature imager), etc., with
ground-based measurements, several operational algorithms and databases for atmospheric precipitation, water vapor and liquid
water in clouds, and other hydrological/hydrological applications are developed. To advance China’s SAR and InSAR (interferometric
SAR) technologies, the image processing and analysis of ERS (European remote sensing), Radarsat SAR, and Chinese SAR, etc.,
the software platforms are accomplished. Based on the researches of multi-information fusion, some simulations, identification,
and information extractions of the targets from complex background clutter scenes are studied. Some experiments of radio wave
propagation in anomalous atmospheric status are also carried out.
Translated from Advances in Earth Science, 2007, 22(2): 111–125 [译自: 地球科学进展] 相似文献
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黑河流域遥感—地面观测同步试验：科学目标与试验方案 总被引：44，自引：17，他引：27
介绍了黑河流域遥感-地面观测同步试验的科学背景、科学问题、研究目标以及观测试验方案和观测系统布置.总体目标是,开展航空-卫星遥感与地面观测同步试验,为发展流域科学积累基础数据;发展能够融合多源遥感观测的流域尺度陆面数据同化系统,为实现卫星遥感对流域的动态监测提供方法和范例.以具备鲜明的高寒与干旱区伴生为主要特征的黑河流域为试验区,以水循环为主要研究对象,利用航空遥感、卫星遥感、地面雷达、水文气象观测、通量观测、生态监测等相关设备,开展航空、卫星和地面配合的大型观测试验,精细观测干旱区内陆河流域高山冰雪和冻土带、山区水源涵养林带、中游人工绿洲及天然荒漠绿洲带的水循环和生态过程的各个分量;并且以航空遥感为桥梁,通过高精度的真实性验证,发展尺度转换方法,改善从卫星遥感资料反演和间接估计水循环各分量及与之密切联系的生态和其他地表过程分量的模型和算法.由寒区水文试验、森林水文试验和干旱区水文试验,以及一个集成研究--模拟平台和数据平台建设组成.拟观测的变量划分为5大类,分别是水文与生态变量、驱动数据、植被参数、土壤参数和空气动力参数.同步试验在流域尺度、重点试验区、加密观测区和观测小区4个尺度上展开.布置了加密的地面同步观测、通量和气象水文观测、降雨、径流及其他水文要素观测网络;使用了5类机载遥感传感器,分别是微波辐射计、激光雷达、高光谱成像仪、热红外成像仪和多光谱CCD相机;获取了丰富的可见光/近红外、热红外、主被动微波、激光雷达等卫星数据. 相似文献
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Erin Lee Hestir David H. Schoellhamer Jonathan Greenberg Tara Morgan-King Susan L. Ustin 《Estuaries and Coasts》2016,39(4):1100-1112
Submerged aquatic vegetation (SAV) has well-documented effects on water clarity. SAV beds can slow water movement and reduce bed shear stress, promoting sedimentation and reducing suspension. However, estuaries have multiple controls on turbidity that make it difficult to determine the effect of SAV on water clarity. In this study, we investigated the effect of primarily invasive SAV expansion on a concomitant decline in turbidity in the Sacramento-San Joaquin River Delta. The objective of this study was to separate the effects of decreasing sediment supply from the watershed from increasing SAV cover to determine the effect of SAV on the declining turbidity trend. SAV cover was determined by airborne hyperspectral remote sensing and turbidity data from long-term monitoring records. The turbidity trends were corrected for the declining sediment supply using suspended-sediment concentration data from a station immediately upstream of the Delta. We found a significant negative trend in turbidity from 1975 to 2008, and when we removed the sediment supply signal from the trend it was still significant and negative, indicating that a factor other than sediment supply was responsible for part of the turbidity decline. Turbidity monitoring stations with high rates of SAV expansion had steeper and more significant turbidity trends than those with low SAV cover. Our findings suggest that SAV is an important (but not sole) factor in the turbidity decline, and we estimate that 21–70 % of the total declining turbidity trend is due to SAV expansion. 相似文献
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Previous studies showed that water chemistry and concentrations of dissolved organic matter (DOM) could affect its molecular
conformation and binding characteristics with hydrophobic organic contaminants (HOCs). However, the conformational change
of DOM resultant from water chemistry and concentrations of DOM was not extensively investigated; therefore, the contradictory
reports regarding the binding property with HOCs were available in literature. In this study, the effects of ionic strength,
pH and DOM concentrations on the fluorescence properties of two humic acids (HA), namely Fluka HA and Amherst HA, were investigated
by three-dimensional excitation-emission matrix fluorescence spectroscopy (3DEEM) and steady-state fluorescence polarization
(FP) techniques. The results not only corroborated previous observations obtained by other investigators, but revealed some
new information about the fluorescence properties and molecular conformation of the humic acids under different water chemistry
and DOM concentration conditions, which could shed light on its binding mechanisms and binding properties with HOCs. 相似文献
18.
One of the most important qualitative aspects of wetland ecosystem management is preserving the natural quality of water in such environments. This would not be achievable unless continuous water quality monitoring is implemented. With the recent advances in remote sensing technology, this technology could assist us to produce accurate models for estimating water quality variables in the ecosystem of wetlands. The present study was carried out to evaluate the capability of remote sensing data to estimate the water quality variables [pH, total suspended solids (TSS), total dissolved solids (TDS), turbidity, nitrate, sulfate, phosphate, chloride and the concentration of chlorophyll a] in Zarivar International Wetland using linear regression (LR) and artificial neural network (ANN) models. For this purpose, spectral reflectance of bands 2, 3, 4 and 5 of the OLI sensor of Landsat 8 was utilized as the input data and the collected chemical and physical data of water samples were selected as the objective data for both ANN and LR models. Based on our results overall, ANN model was the proper model compared with LR model. The spectral reflectance in bands 5 and 4 of OLI sensor revealed the best results to estimate TDS, TSS, turbidity and chlorophyll in comparison with other used bands in ANN model, respectively. We conclude that OLI sensor data are an excellent means for studying physical properties of water quality and comparing its chemical properties. 相似文献