The aquatic eco-environment is significantly affected by temporal and spatial variation of the mixed layer depth （MLD） in large shallow lakes. In the present study, we simulated the three-dimensional water temperatu...The aquatic eco-environment is significantly affected by temporal and spatial variation of the mixed layer depth （MLD） in large shallow lakes. In the present study, we simulated the three-dimensional water temperature of Taihu Lake with an unstructured grid with a finite-volume coastal ocean model （FVCOM） using wind speed, wind direction, short-wave radiation and other meteorological data measured during 13-18 August 2008. The simulated results were consistent with the measurements. The temporal and spatial distribution of the MLD and the possible relevant mechanisms were analyzed on the basis of the water temperature profile data of Taihu Lake. The results indicated that diurnal stratification might be established through the combined effect of the hydrodynamic conditions induced by wind and the heat exchange between air and water. Compared with the net heat flux, the changes of the MLD were delayed approximately two hours. Furthermore, there were significant spatial differences of the MLD in Taihu Lake due to the combined impact of thermal and hydrodynamic forces. Briefly, diurnal stratification formed relatively easily in Gonghu Bay, Zhushan Bay, Xukou Bay and East Taihu Bay, and the surface mixed layer was thin. The center of the lake region had the deepest surface mixed layer due to the strong mixing process. In addition, Meiliang Bay showed a medium depth of the surface mixed layer. Our analysis indicated that the spatial difference in the hydrodynamic action was probably the major cause for the spatial variation of the MLD in Taihu Lake.展开更多
Not many bathymetric maps are available for many lakes and reservoirs in developing countries. Usually the bathymetric mapping requires investment in expensive equipment and fieldwork, both of which are not accessible...Not many bathymetric maps are available for many lakes and reservoirs in developing countries. Usually the bathymetric mapping requires investment in expensive equipment and fieldwork, both of which are not accessible in these countries. This work demonstrates the ability to develop bathymetric map of Mosul Lake by using a digital elevation model (DEM). The depths model of the lake was designed through the use of three main stages;a coastline extraction, dataset interpolation and a triangular irregular network model. The normalized difference water index (NDWI) was used for automatic delineation of the lake coastline from satellite images. The ordinary kriging interpolation with a stable model was used to interpolate the water depths dataset. Finally a triangulated irregular network (TIN) model was used to visualize the resulting interpolation model. Calculated values of area and volume of a TIN model during 2011 were compared with values of supposed initial operation of the reservoir. The differences of water volume storage between these stages at 321 m water level was about 0.81 × 109 m3, where the lake lost around 10% of storage value. Also the results of depths lake model show that the change in water storage between March and July 2011 was about 3.08 × 109 m3.展开更多
<span style="font-family:Verdana;">Land-use change has been</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">...<span style="font-family:Verdana;">Land-use change has been</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">a factor that alters the hydrologic response of the watersheds leading to influencing on sediment yield changes. This study is mainly focusing on the assessment of the impacts of the land-use changes on sediment load and lake depth reduction on Lake Ziway, Ethiopia using an integrated approach of Remote Sensing (RS), GIS and SWAT model. ERDAS IMAGINE 14 model was used to generate land-use maps from Landsat TM, ETM+, and Ls8 acquired, in 1988, 2002 and 2015 as representative for the periods of (1988</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">1998), (1998</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">2008) and (2008</span><span style="font-family:Verdana;">-</span><span style="font-family:;" "=""><span style="font-family:Verdana;">2018), respectively. The maximum likelihood algorithm of supervised classification applied to classify the </span><span style="font-family:Verdana;">basin land-use into seven land-use classes. The SWAT hydrological model</span><span style="font-family:Verdana;"> with ArcGIS interface setup for the basin to evaluate the flow and sediment load with calibration and validation performance of the model range R</span><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> (0.71 </span></span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;"> 0.89) and NSE (0.57 </span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;"> 0.87). As a result, the total average annual sediment yield from the sub-basins estimated as 3.59</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr, 4.36</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr, and 4.89</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr for three consecutive decadal periods 1988</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">1998, 1998</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">2008, and</span><span style="font-family:Verdana;"> 2008</span><span style="font-family:Verdana;">-</span><span style="font-family:;" "=""><span style="font-family:Verdana;">2018 respectively. The increasing trend of sediment yield in the Lake Ziway watershed through one period to another justified as due to land-use. Similarly, the net sediment volume deposited in the lake also showed incremental </span><span style="font-family:Verdana;">trained with the land-use changes as 1.5</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">mcm/yr, 1.81 mcm/yr, and 2.033</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">mcm/yr for the period of 1988-1998, 1999-2008, and 2009-2018, respectively. The depth and water holding capacity of the lake reduced by 4.3</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">m and 25.76</span><span style="font-family:;" "=""> </span><span style="font-family:;" "=""><span style="font-family:Verdana;">mcm, respectively, from the depth and capacity recorded on the 2006 bathy</span><span style="font-family:Verdana;">metric survey, which was the effect of deposited sediment over the last 12</span><span style="font-family:Verdana;"> years.</span></span>展开更多
Background: Foraging theory predicts that animals select patches that offer the highest net rate of energy gain. Hence, prey distribution patterns and spatiotemporal heterogeneity play important roles in determining a...Background: Foraging theory predicts that animals select patches that offer the highest net rate of energy gain. Hence, prey distribution patterns and spatiotemporal heterogeneity play important roles in determining animal feeding patch selection. For waterfowl foraging on buried aquatic plant tubers, the distribution and biomass of these plant organs vary with depth in the substrate. Since excavation costs also increase with depth, the energy intake of the animals foraging on these plants is highly sediment depth dependent. Methods: Here, using observations of Swan Geese (Anser cygnoides) foraging on Vallisneria natans tubers, we test our hypothesis that geese feeding on tubers buried at intermediate sediment depth maximize their daily energy intake because of the interaction between tuber size and abundance with depth. To do this, we measured the distribution patterns of buried Vallisneria tubers under both undisturbed conditions and post-exploitation by geese (i.e. giving-up conditions). We investigated the relationship between tuber size and burial depth, and total tuber biomass within each sediment layer in undisturbed and exploited plots. Finally, we compared modelled Swan Goose daily energy intake feeding on Vallisneria tubers buried at different sediment layers (1–10, 11–20 and 21–30 cm below the surface). Results: Dry weight of Vallisneria tubers linearly increased with burial depth, while average total dry weight density of tubers showed a unimodal relationship, peaking at intermediate levels. Not surprisingly, Swan Geese foraged most intensively on tubers buried at intermediate sediment depths, where they maximize their daily energy intake. Our results support our hypothesis that Swan Geese feeding on tubers at intermediate depths maximize their daily energy intake. Conclusions: Our study is the first to quantify foraging strategies of Swan Geese during the wintering period, emphasizing the importance of plant traits on foraging selection of belowground foragers.展开更多
The radioactivities of 210Pb and 137Cs have been measured to estimate the dates of the sediments of a surface core （QH0407-C-2） in the northern basin of Lake Qinghai. The sedimentation rate derived from 210Pb radioa...The radioactivities of 210Pb and 137Cs have been measured to estimate the dates of the sediments of a surface core （QH0407-C-2） in the northern basin of Lake Qinghai. The sedimentation rate derived from 210Pb radioactivity correlates well with that inferred from （137）Cs radioactivity. The dates calculated from depth sedimentation rate （cm/a） are similar to those derived from mass accumulation rate （g·cm-2·a-1） between 0-5 cm, but are significantly different below 5 cm, which has been ascribed to the compaction of surface sediments during early diagenesis. The dates derived from mass accumulation rate are consistent with those calculated from the AMS 14C dating model. The precipitation-controlled indices based on the chronology data derived from mass accumulation rate are similar in trends to the precipitation reconstructed from tree rings in adjacent region, which further verifies the reliability of the geochronology data.展开更多
Supraglacial lakes play an important role in the surface mass balance of ice sheets.With global warming,supraglacial lakes may become more extensive on ice sheet surfaces than they currently are.Therefore,accurate est...Supraglacial lakes play an important role in the surface mass balance of ice sheets.With global warming,supraglacial lakes may become more extensive on ice sheet surfaces than they currently are.Therefore,accurate estimation of the volume of supraglacial lakes is important for characterizing their impact on ice sheets.In this study,we present a machine learning-based method for estimating the depth of supraglacial lakes through the combination of ICESat-2 ATL03 data with multispectral imagery.We tested this method via Landsat-8 and Sentinel-2 imagery and evaluated the accuracy of the algorithm on 7 test lakes on the Greenland Ice Sheet.Our results show that machine learning-based algorithms achieve better accuracy than traditional regression or physics-based methods do,especially for deeper lakes.The best accuracy was achieved when extreme gradient boosting was applied to a Sentinel-2 L1C image,with root mean square error,mean absolute error,and median absolute error values of 0.54 m,0.43 m,and 0.36 m,respectively.Furthermore,we evaluated the effects of atmospheric corrections of multispectral imagery in the retrieval of supraglacial lake depth.On the basis of our results,we recommend the direct use of top-of-atmosphere reflectance products in mapping supraglacial lake bathymetry because of the low performance of atmospheric corrections for water and snow/ice in both the Landsat-8 and Sentinel-2 datasets.This study is expected to provide a more efficient method for estimating the depth of supraglacial lakes and laying the foundation for accurately quantifying meltwater volumes over large surface areas in subsequent studies.展开更多
基于2004年10月对全湖67个采样点水下光合有效辐射(photosynthetically active radiation:PAR)和各光学活性物质浓度的测定,分析了真光层深度的空间分布及其影响因素.利用实测的叶绿素a浓度,真光层深度,PAR强度,由水温计算得到的最佳固...基于2004年10月对全湖67个采样点水下光合有效辐射(photosynthetically active radiation:PAR)和各光学活性物质浓度的测定,分析了真光层深度的空间分布及其影响因素.利用实测的叶绿素a浓度,真光层深度,PAR强度,由水温计算得到的最佳固碳速率以及由经纬度计算的日照周期等,在垂向归纳模型(vertically generalized production model:VGPM)的支持下估算了全湖秋季浮游植物初级生产力.真光层深度的变化范围为0.37-5.27m(均值为1.52±1.06m),高值出现在东太湖、胥口湾、东西山之间等水生植物分布茂盛的草型湖区,而在梅梁湾、湖心区以及西南面的开阔湖区真光层深度均较小.回归分析显示,真光层深度主要受制于非色素颗粒物浓度,浮游植物和溶解性有机物的贡献相对要小得多.叶绿素a浓度和VGPM模型估算的浮游植物初级生产力变化范围分别1.21-53.59μg/L、77.4-2484.9mg/(m2·d),其时空分布基本一致,高值出现在富营养化的藻型湖区梅梁湾,低值出现在胥口湾和西南开阔湖区.VGPM模型和经验模式对比结果显示两者值比较接近并存在显著相关(r2=0.79,p<0.0001),两类模型全湖的均值分别为694.5±492.0、719.8±315.4mg/(m2·d),但由于VGPM模型考虑到真光层深度、温度、PAR强度以及日照周期对初级生产力的影响,其变化范围明显大于经验模型,也更能反映初级生产力的空间变化.展开更多
通过实测查干湖高光谱数据,建立透明度(Secchi Disk Depth,SDD)单波段估测模型、比值估测模型以及神经网络高光谱估测模型,并以确定性系数R2以及剩余残差RMSE为指标进行了验证。通过对单波段估测模型和比值估测模型进行比较发现,单波段...通过实测查干湖高光谱数据,建立透明度(Secchi Disk Depth,SDD)单波段估测模型、比值估测模型以及神经网络高光谱估测模型,并以确定性系数R2以及剩余残差RMSE为指标进行了验证。通过对单波段估测模型和比值估测模型进行比较发现,单波段模型估测结果与比值模型相差无几,而水体透明度经对数处理有利于模型精度提高,但是神经网络模型是三者中最优的。查干湖透明度高光谱定量估测模型的建立,有利于今后利用遥感影像,对查干湖水体透明度进行全面估测,对于研究和监测查干湖水体水质状况有重要意义。展开更多
基金supported by the National Natoral Science Foundation of Ghina (Grant Nos.41071070.41165001.and 41171368)the Special Scientific Research Project of the China Commonwealth Trade(meteorology)(GYHY201006054)
文摘The aquatic eco-environment is significantly affected by temporal and spatial variation of the mixed layer depth （MLD） in large shallow lakes. In the present study, we simulated the three-dimensional water temperature of Taihu Lake with an unstructured grid with a finite-volume coastal ocean model （FVCOM） using wind speed, wind direction, short-wave radiation and other meteorological data measured during 13-18 August 2008. The simulated results were consistent with the measurements. The temporal and spatial distribution of the MLD and the possible relevant mechanisms were analyzed on the basis of the water temperature profile data of Taihu Lake. The results indicated that diurnal stratification might be established through the combined effect of the hydrodynamic conditions induced by wind and the heat exchange between air and water. Compared with the net heat flux, the changes of the MLD were delayed approximately two hours. Furthermore, there were significant spatial differences of the MLD in Taihu Lake due to the combined impact of thermal and hydrodynamic forces. Briefly, diurnal stratification formed relatively easily in Gonghu Bay, Zhushan Bay, Xukou Bay and East Taihu Bay, and the surface mixed layer was thin. The center of the lake region had the deepest surface mixed layer due to the strong mixing process. In addition, Meiliang Bay showed a medium depth of the surface mixed layer. Our analysis indicated that the spatial difference in the hydrodynamic action was probably the major cause for the spatial variation of the MLD in Taihu Lake.
文摘Not many bathymetric maps are available for many lakes and reservoirs in developing countries. Usually the bathymetric mapping requires investment in expensive equipment and fieldwork, both of which are not accessible in these countries. This work demonstrates the ability to develop bathymetric map of Mosul Lake by using a digital elevation model (DEM). The depths model of the lake was designed through the use of three main stages;a coastline extraction, dataset interpolation and a triangular irregular network model. The normalized difference water index (NDWI) was used for automatic delineation of the lake coastline from satellite images. The ordinary kriging interpolation with a stable model was used to interpolate the water depths dataset. Finally a triangulated irregular network (TIN) model was used to visualize the resulting interpolation model. Calculated values of area and volume of a TIN model during 2011 were compared with values of supposed initial operation of the reservoir. The differences of water volume storage between these stages at 321 m water level was about 0.81 × 109 m3, where the lake lost around 10% of storage value. Also the results of depths lake model show that the change in water storage between March and July 2011 was about 3.08 × 109 m3.
文摘<span style="font-family:Verdana;">Land-use change has been</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">a factor that alters the hydrologic response of the watersheds leading to influencing on sediment yield changes. This study is mainly focusing on the assessment of the impacts of the land-use changes on sediment load and lake depth reduction on Lake Ziway, Ethiopia using an integrated approach of Remote Sensing (RS), GIS and SWAT model. ERDAS IMAGINE 14 model was used to generate land-use maps from Landsat TM, ETM+, and Ls8 acquired, in 1988, 2002 and 2015 as representative for the periods of (1988</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">1998), (1998</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">2008) and (2008</span><span style="font-family:Verdana;">-</span><span style="font-family:;" "=""><span style="font-family:Verdana;">2018), respectively. The maximum likelihood algorithm of supervised classification applied to classify the </span><span style="font-family:Verdana;">basin land-use into seven land-use classes. The SWAT hydrological model</span><span style="font-family:Verdana;"> with ArcGIS interface setup for the basin to evaluate the flow and sediment load with calibration and validation performance of the model range R</span><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> (0.71 </span></span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;"> 0.89) and NSE (0.57 </span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;"> 0.87). As a result, the total average annual sediment yield from the sub-basins estimated as 3.59</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr, 4.36</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr, and 4.89</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr for three consecutive decadal periods 1988</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">1998, 1998</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">2008, and</span><span style="font-family:Verdana;"> 2008</span><span style="font-family:Verdana;">-</span><span style="font-family:;" "=""><span style="font-family:Verdana;">2018 respectively. The increasing trend of sediment yield in the Lake Ziway watershed through one period to another justified as due to land-use. Similarly, the net sediment volume deposited in the lake also showed incremental </span><span style="font-family:Verdana;">trained with the land-use changes as 1.5</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">mcm/yr, 1.81 mcm/yr, and 2.033</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">mcm/yr for the period of 1988-1998, 1999-2008, and 2009-2018, respectively. The depth and water holding capacity of the lake reduced by 4.3</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">m and 25.76</span><span style="font-family:;" "=""> </span><span style="font-family:;" "=""><span style="font-family:Verdana;">mcm, respectively, from the depth and capacity recorded on the 2006 bathy</span><span style="font-family:Verdana;">metric survey, which was the effect of deposited sediment over the last 12</span><span style="font-family:Verdana;"> years.</span></span>
基金supported by the Natural Science Foundation of Jiangsu Province(Grant No.BK20170922)the Key Strategic Program of the Chinese Academy of Sciences,Water Ecological Security AssessmentGreat Strategy Research of Middle and Lower Yangtze River(Grant No.ZDRW-ZS-2017-3)
文摘Background: Foraging theory predicts that animals select patches that offer the highest net rate of energy gain. Hence, prey distribution patterns and spatiotemporal heterogeneity play important roles in determining animal feeding patch selection. For waterfowl foraging on buried aquatic plant tubers, the distribution and biomass of these plant organs vary with depth in the substrate. Since excavation costs also increase with depth, the energy intake of the animals foraging on these plants is highly sediment depth dependent. Methods: Here, using observations of Swan Geese (Anser cygnoides) foraging on Vallisneria natans tubers, we test our hypothesis that geese feeding on tubers buried at intermediate sediment depth maximize their daily energy intake because of the interaction between tuber size and abundance with depth. To do this, we measured the distribution patterns of buried Vallisneria tubers under both undisturbed conditions and post-exploitation by geese (i.e. giving-up conditions). We investigated the relationship between tuber size and burial depth, and total tuber biomass within each sediment layer in undisturbed and exploited plots. Finally, we compared modelled Swan Goose daily energy intake feeding on Vallisneria tubers buried at different sediment layers (1–10, 11–20 and 21–30 cm below the surface). Results: Dry weight of Vallisneria tubers linearly increased with burial depth, while average total dry weight density of tubers showed a unimodal relationship, peaking at intermediate levels. Not surprisingly, Swan Geese foraged most intensively on tubers buried at intermediate sediment depths, where they maximize their daily energy intake. Our results support our hypothesis that Swan Geese feeding on tubers at intermediate depths maximize their daily energy intake. Conclusions: Our study is the first to quantify foraging strategies of Swan Geese during the wintering period, emphasizing the importance of plant traits on foraging selection of belowground foragers.
基金This work is supported by the National Basic Research Program of China(No.2004CB720207), and by the National Natural Science Foundation of China (No.40599422).
文摘The radioactivities of 210Pb and 137Cs have been measured to estimate the dates of the sediments of a surface core （QH0407-C-2） in the northern basin of Lake Qinghai. The sedimentation rate derived from 210Pb radioactivity correlates well with that inferred from （137）Cs radioactivity. The dates calculated from depth sedimentation rate （cm/a） are similar to those derived from mass accumulation rate （g·cm-2·a-1） between 0-5 cm, but are significantly different below 5 cm, which has been ascribed to the compaction of surface sediments during early diagenesis. The dates derived from mass accumulation rate are consistent with those calculated from the AMS 14C dating model. The precipitation-controlled indices based on the chronology data derived from mass accumulation rate are similar in trends to the precipitation reconstructed from tree rings in adjacent region, which further verifies the reliability of the geochronology data.
基金supported by the National Natural Science Foundation of China(grants 41925027 and 42306256)the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(grant 311021008)the Guangdong Basic and Applied Basic Research Foundation(grant 2023A1515010925).
文摘Supraglacial lakes play an important role in the surface mass balance of ice sheets.With global warming,supraglacial lakes may become more extensive on ice sheet surfaces than they currently are.Therefore,accurate estimation of the volume of supraglacial lakes is important for characterizing their impact on ice sheets.In this study,we present a machine learning-based method for estimating the depth of supraglacial lakes through the combination of ICESat-2 ATL03 data with multispectral imagery.We tested this method via Landsat-8 and Sentinel-2 imagery and evaluated the accuracy of the algorithm on 7 test lakes on the Greenland Ice Sheet.Our results show that machine learning-based algorithms achieve better accuracy than traditional regression or physics-based methods do,especially for deeper lakes.The best accuracy was achieved when extreme gradient boosting was applied to a Sentinel-2 L1C image,with root mean square error,mean absolute error,and median absolute error values of 0.54 m,0.43 m,and 0.36 m,respectively.Furthermore,we evaluated the effects of atmospheric corrections of multispectral imagery in the retrieval of supraglacial lake depth.On the basis of our results,we recommend the direct use of top-of-atmosphere reflectance products in mapping supraglacial lake bathymetry because of the low performance of atmospheric corrections for water and snow/ice in both the Landsat-8 and Sentinel-2 datasets.This study is expected to provide a more efficient method for estimating the depth of supraglacial lakes and laying the foundation for accurately quantifying meltwater volumes over large surface areas in subsequent studies.
文摘基于2004年10月对全湖67个采样点水下光合有效辐射(photosynthetically active radiation:PAR)和各光学活性物质浓度的测定,分析了真光层深度的空间分布及其影响因素.利用实测的叶绿素a浓度,真光层深度,PAR强度,由水温计算得到的最佳固碳速率以及由经纬度计算的日照周期等,在垂向归纳模型(vertically generalized production model:VGPM)的支持下估算了全湖秋季浮游植物初级生产力.真光层深度的变化范围为0.37-5.27m(均值为1.52±1.06m),高值出现在东太湖、胥口湾、东西山之间等水生植物分布茂盛的草型湖区,而在梅梁湾、湖心区以及西南面的开阔湖区真光层深度均较小.回归分析显示,真光层深度主要受制于非色素颗粒物浓度,浮游植物和溶解性有机物的贡献相对要小得多.叶绿素a浓度和VGPM模型估算的浮游植物初级生产力变化范围分别1.21-53.59μg/L、77.4-2484.9mg/(m2·d),其时空分布基本一致,高值出现在富营养化的藻型湖区梅梁湾,低值出现在胥口湾和西南开阔湖区.VGPM模型和经验模式对比结果显示两者值比较接近并存在显著相关(r2=0.79,p<0.0001),两类模型全湖的均值分别为694.5±492.0、719.8±315.4mg/(m2·d),但由于VGPM模型考虑到真光层深度、温度、PAR强度以及日照周期对初级生产力的影响,其变化范围明显大于经验模型,也更能反映初级生产力的空间变化.
文摘通过实测查干湖高光谱数据,建立透明度(Secchi Disk Depth,SDD)单波段估测模型、比值估测模型以及神经网络高光谱估测模型,并以确定性系数R2以及剩余残差RMSE为指标进行了验证。通过对单波段估测模型和比值估测模型进行比较发现,单波段模型估测结果与比值模型相差无几,而水体透明度经对数处理有利于模型精度提高,但是神经网络模型是三者中最优的。查干湖透明度高光谱定量估测模型的建立,有利于今后利用遥感影像,对查干湖水体透明度进行全面估测,对于研究和监测查干湖水体水质状况有重要意义。
