Long-term variation of phytoplankton biomass and physiology in Taihu lake as observed via MODIS satellite

Huang, Changchun; Zhang, Yunlin; Huang, Tao; Yang, Hao; Li, Yunmei; Zhang, Zhigang; He, Miao; Hu, Zhujun; Song, Tianming; Zhu, A‐Xing

doi:10.1016/j.watres.2019.01.017

Cited by 43 publications

(15 citation statements)

References 70 publications

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“…Taihu Lake's severe cyanobacteria blooms in 2017 were attributed to high TP concentration, high temperature, and frequent weak wind, all of which boost cyanobacteria bloom formation [70], which is consistent with our RDA analysis. The role of nitrogen is still ambiguous to some extent, some studies indicated that reducing phosphorus is more effective at causing a decline in cyanobacteria abundance [8,11,69,71,72]. We also believe that reducing TP by the means of controlling external and endogenous sources would be a feasible long-term management strategy, especially under the condition that explanation of TP was 0.135 in annual perspective, much higher than its monthly explanation (0.001) ( Table 4).…”

Section: Environmental Driving Factors Of Taihu Lake's Severe Cyanobamentioning

confidence: 92%

“…These factors were generally considered fundamental in creating the 2007 cyanobacteria bloom crisis [5,8], which affected water safety and environment of millions of citizens. Other related environmental variables also helped to create a suitable environment for cyanobacteria bloom outbreak, e.g., temperature and wind [5,69]. After that crisis, the local government has made considerable efforts to control the nutrient loadings and pollutants enter Taihu Lake over the whole catchment.…”

Section: Environmental Driving Factors Of Taihu Lake's Severe Cyanobamentioning

confidence: 99%

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Long-Term Spatial and Temporal Monitoring of Cyanobacteria Blooms Using MODIS on Google Earth Engine: A Case Study in Taihu Lake

2019

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As cyanobacteria blooms occur in many types of inland water, routine monitoring that is fast and accurate is important for environment and drinking water protection. Compared to field investigations, satellite remote sensing is an efficient and effective method for monitoring cyanobacteria blooms. However, conventional remote sensing monitoring methods are labor intensive and time consuming, especially when processing long-term images. In this study, we embedded related processing procedures in Google Earth Engine, developed an operational cyanobacteria bloom monitoring workflow. Using this workflow, we measured the spatiotemporal patterns of cyanobacteria blooms in China’s Taihu Lake from 2000 to 2018. The results show that cyanobacteria bloom patterns in Taihu Lake have significant spatial and temporal differentiation: the interannual coverage of cyanobacteria blooms had two peaks, and the condition was moderate before 2006, peaked in 2007, declined rapidly after 2008, remained moderate and stable until 2015, and then reached another peak around 2017; bays and northwest lake areas had heavier cyanobacteria blooms than open lake areas; most cyanobacteria blooms primarily occurred in April, worsened in July and August, then improved after October. Our analysis of the relationship between cyanobacteria bloom characteristics and environmental driving factors indicates that: from both monthly and interannual perspectives, meteorological factors are positively correlated with cyanobacteria bloom characteristics, but as for nutrient loadings, they are only positively correlated with cyanobacteria bloom characteristics from an interannual perspective. We believe reducing total phosphorous, together with restoring macrophyte ecosystem, would be the necessary long-term management strategies for Taihu Lake. Our workflow provides an automatic and rapid approach for the long-term monitoring of cyanobacteria blooms, which can improve the automation and efficiency of routine environmental management of Taihu Lake and may be applied to other similar inland waters.

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Section: Environmental Driving Factors Of Taihu Lake's Severe Cyanobamentioning

confidence: 92%

Section: Environmental Driving Factors Of Taihu Lake's Severe Cyanobamentioning

confidence: 99%

Long-Term Spatial and Temporal Monitoring of Cyanobacteria Blooms Using MODIS on Google Earth Engine: A Case Study in Taihu Lake

2019

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“…Thus, MODIS data have attracted much attention from numerous researchers. These data are most popular to apply to observations of cyanobacterial blooms in Lake Taihu [46,47,112,147,154,162,163,176,177]. Monitoring the cyanobacterial blooms in this lake is significantly critical for water quality management.…”

Section: Modis Datamentioning

confidence: 99%

Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges

et al. 2019

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“…Energy exchange between lake water and the atmosphere determines G, and it is this energy that determines the energy storage and water temperature within a lake. Lake water temperature is a dominant regulator of nearly all physiochemical cycles and thus lake metabolism and productivity (e.g., Wetzel, 1983, Huang et al 2019 and lake water quality (e.g., Yang et al 2018). Energy balance also gives an idea on how much influence a lake exerts on regional climate through its surface energy fluxes (e.g., Notaro et al 2013) and on a hydrological cycle through the common component of evaporation (Sugita et al 2014).…”

Section: Importance Of Lakes and Water And Energy Balance Studiesmentioning

confidence: 99%

Spatial variability of the surface energy balance of Lake Kasumigaura and implications for flux measurements

Sugita

2019

Hydrological Sciences Journal

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Spatial variability of lake surface energy balance and its causes are not understood well. 90-m resolution energy balance maps of Lake Kasumigaura (172 km 2) in Japan obtained by interpolating stations' data and bulk equations allowed investigation of these issues. Due to lake-scale variation in meteorological variables and small-scale fluctuations of surface temperature Ts, surface heat fluxes were found differed horizontally at two distinctive scales while radiative fluxes were more uniform. The key variable Ts to surface fluxes was only homogenous for directions with a longer fetch or under calm wind conditions. Using these findings, the suitability of flux station locations, one at the center of the lake and another within a cove, were considered. Although both locations satisfied the fetch requirements, Ts was not always found to be homogeneous in the cove, making this location less suitable for flux measurements, an issue that has been overlooked in scientific communities.

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Long-term variation of phytoplankton biomass and physiology in Taihu lake as observed via MODIS satellite

Cited by 43 publications

References 70 publications

Long-Term Spatial and Temporal Monitoring of Cyanobacteria Blooms Using MODIS on Google Earth Engine: A Case Study in Taihu Lake

Long-Term Spatial and Temporal Monitoring of Cyanobacteria Blooms Using MODIS on Google Earth Engine: A Case Study in Taihu Lake

Remote sensing of cyanobacterial blooms in inland waters: present knowledge and future challenges

Spatial variability of the surface energy balance of Lake Kasumigaura and implications for flux measurements

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