Temporal and spatial distribution of Kd(490) and its response to precipitation and wind in lake Hongze based on MODIS data

Lei, Shaohua; Xu, Jie; Li, Yunmei; Lyu, Heng; Liu, Ge; Zheng, Zhuo; Xu, Yifan; Du, Chunyu; Zeng, Shuai; Wang, Huaijing; Dong, Xinhua; Cai, Xiaolan; Li, Junda

doi:10.1016/j.ecolind.2019.105684

Cited by 31 publications

(15 citation statements)

References 56 publications

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“…Satellite image processing has made it possible to obtain an early warning system for water quality changes in aquatic ecosystems [5]. Several studies have been carried out to estimate water quality parameters such as chlorophyll a (Chl-a) and turbidity in various aquatic ecosystems using remote sensing reflectance [12][13][14]. The spatial distribution and dynamics of several water quality parameters in Chile were investigated by [15] in Lake Vichuquén lake, and Panguipulli lake by [16].…”

Section: Introductionmentioning

confidence: 99%

Retrieving Water Turbidity in Araucanian Lakes (South-Central Chile) Based on Multispectral Landsat Imagery

et al. 2021

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Remote sensing was used as an early alert tool for water clarity changes in five Araucanian Lakes in South-Central Chile. Turbidity records are scarce or unavailable over large and remote areas needed to fully understand the factors associated with turbidity, and their spatial-temporal representation remains a limitation. This work aimed to develop and validate empirical models to estimate values of turbidity from Landsat images and determine the spatial distribution of estimated turbidity in the selected Araucanian Lakes. Secchi disk depth measurements were linked with turbidity measurements to obtain a turbidity dataset. This in turn was used to develop and validate a set of empirical models to predict turbidity based on four single bands and 16 combination bands from 15 multispectral Landsat images. The best empirical models predicted turbidity over the range of 0.3–12.3 NTUs with RMSE values around 0.31–1.03 NTU, R2 (Index of Agreement IA) around 0.93–0.99 (0.85–0.97) and mean bias error (MBE) around (−0.36–0.44 NTU). Estimation maps to analyze the temporal-spatial turbidity variation in the lakes were constructed. Finally, it was found that the meteorological conditions may affect the variation of turbidity, mainly precipitation and wind speed. The data indicate that the turbidity has slightly increased in winter–spring. These models will be used in the future to reconstruct large datasets that allow analyzing transparency trends in those lakes.

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Section: Introductionmentioning

confidence: 99%

Retrieving Water Turbidity in Araucanian Lakes (South-Central Chile) Based on Multispectral Landsat Imagery

et al. 2021

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“…The results indicate that low wind speeds are dominant in Lake Taihu and Lake Hongze, which is good for the growth of submerged aquatic vegetation. However, an increase in Z SD is observed in both Lake Hongze and Lake Taihu, which might be related to anthropogenic activities [20,42].…”

Section: The Response Of Goci-derived Zsd To Wind Speedmentioning

confidence: 95%

“…Blue-green algae outbreaks in these lakes seriously affect aquatic biodiversity, tourism, and the health of nearby residents. Lake Taihu is characterized by hypereutrophic and high turbidity due to high levels of primary production and high concentrations of suspended sediments; Lake Hongze is characterized by mesotrophic and high turbidity due to a large amount of sediment and terrestrial debris being carried from the Huai River and human activities [20]. Similar to the above two lakes, Lake Dongting has also experienced eutrophication in recent years due to anthropogenic activities and environmental change [21].…”

Section: Study Areamentioning

confidence: 99%

“…Moreover, sediment resuspension can be induced by meteorological and hydrological events, such as rainstorms, strong winds, and human activities, such as sailing and trawling [47]. The intense water currents and sand mining activities in Lake Hongze cause sediment resuspension and reduce water transparency, especially in the estuarine part of the lake, according to the study by Lei et al [20].…”

Section: The Relationship Between In-situ Z Sd and Water Constituent mentioning

confidence: 99%

“…Lake Hongze and Lake Taihu are characterized by shallow and turbid water, with an average depth of no more than 2 m, the wind forcing, river sediment discharge, and the short-term rainfall often lead to strong water mixing and suspension of particles [20,46]. This process results in an increase in TSM concentration, which then leads to weak light transmission and low water transparency.…”

Section: The Response Of Goci-derived Z Sd To Wind Speedmentioning

confidence: 99%

See 2 more Smart Citations

Retrieval of Secchi Disk Depth in Turbid Lakes from GOCI Based on a New Semi-Analytical Algorithm

Zeng

Lei

et al. 2020

Remote Sensing

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The accurate remote estimation of the Secchi disk depth (ZSD) in turbid waters is essential in the monitoring the ecological environment of lakes. Using the field measured ZSD and the remote sensing reflectance (Rrs(λ)) data, a new semi-analytical algorithm (denoted as ZSDZ) for retrieving ZSD was developed from Rrs(λ), and it was applied to Geostationary Ocean Color Imager (GOCI) images in extremely turbid waters. Our results are as follows: (1) the ZSDZ performs well in estimating ZSD in turbid water bodies (0.15 m < ZSD < 2.5 m). By validating with the field measured data that were collected in four turbid inland lakes, the determination coefficient (R2) is determined to be 0.89, with a mean absolute square percentage error (MAPE) of 22.39%, and root mean square error (RMSE) of 0.24 m. (2) The ZSDZ improved the retrieval accuracy of ZSD in turbid waters and outperformed the existing semi-analytical schemes. (3) The developed algorithm and GOCI data are in order to map the hourly variation of ZSD in turbid inland waters, the GOCI-derived results reveal a significant spatiotemporal variation in our study region, which are significantly driven by wind forcing. This study can provide a new approach for estimating water transparency in turbid waters, offering important support for the management of inland waters.

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Distribution patterns of the two genetic groups of Corbicula fluminea in a lotic–lentic system

Jia,

Cheng,

et al. 2024

Ecology and Evolution

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Differences in local habitat conditions are often implicated as drivers for morphological and genetic divergence in natural populations. However, there are still relatively few studies regarding how divergent habitats influence patterns for morphotypes and genetic lineages in aquatic invertebrates. In this study, we explored the morphological patterns, genetic divergence, and distributions of a bivalve, Corbicula fluminea, in a lotic–lentic system. Sampling locations included lotic, ecotone, and lentic habitats. First, we found two lineages (Lineages A and B) with significant genetic divergence that primarily corresponded to two morphotypes (Morphs D and C) of C. fluminea. Lineage A consisted of 88.68% Morph D (shell sculpture: 8–14 ridges/cmsh) and 11.32% Morph C (shell sculpture: 15 ridges/cmsh) individuals and had genetic similarity to invasive populations. Lineage B consisted of only Morph C (shell sculpture: 15–23 ridges/cmsh). Second, we revealed clear effects of habitat on the spatial distribution patterns for the two lineages of C. fluminea. Lineage A was dominant in lotic habitats, with a significantly higher density than that of Lineage B in these locations. Lineage B was dominant in lentic habitats. However, both lineages had their highest densities in the ecotone habitat, without clear dominance and no significant difference in density between groups. Individuals of Lineages A and B are different in shell morphology, which may be related to a benefit trade‐off between shell shapes that allow for rapid burrowing and holding position in different flow conditions. The distribution patterns indicate that Lineages A and B may not prefer uniquely lotic and lentic habitats, but each lineage is more tolerant to one habitat type, respectively. Generally, our study established a correlation among morphotypes, lineages, and different habitats for C. fluminea along a lotic–lentic gradient system, which has important implementations for fisheries management units and for understanding the role of habitat preference for this species in monitoring for pioneer dispersal in invasive species management.

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Temporal and spatial distribution of Kd(490) and its response to precipitation and wind in lake Hongze based on MODIS data

Cited by 31 publications

References 56 publications

Retrieving Water Turbidity in Araucanian Lakes (South-Central Chile) Based on Multispectral Landsat Imagery

Retrieving Water Turbidity in Araucanian Lakes (South-Central Chile) Based on Multispectral Landsat Imagery

Retrieval of Secchi Disk Depth in Turbid Lakes from GOCI Based on a New Semi-Analytical Algorithm

Distribution patterns of the two genetic groups of Corbicula fluminea in a lotic–lentic system

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