The rapid emergence of deep learning long-short-term-memory (LSTM) technique presents
a promising solution to algal bloom forecasting. However, the discontinuous and non …

With the rapid development of urbanization, the water pollution in Dianchi Lake presents the
trend of combining urban and agricultural non-point source pollution, and it is more difficult …

The algal community structure is vital for aquatic management. However, the complicated
environmental and biological processes make modeling challenging. To cope with this …

Accurate forecast for water quality is of great importance because it can support water
resource management with the future information. In this research, we propose a novel …

Remote sensing reflectance (Rrs) values measured by satellite sensors involve large
amounts of uncertainty leading to non-negligible noise in remote Chlorophyll-a (Chl-a) …

Human activities and climate change are two major stressors affecting lake ecosystems as
well as phytoplankton communities worldwide. However, how the temporal dynamics of …

Spring discharges from karst aquifers are results of spatially and temporally complex
hydrologic processes, such as precipitation, surface runoff, infiltration, groundwater flow as …

The COVID-19 has become a pandemic. The timing and nature of the COVID-19 pandemic
response and control varied among the regions and from one country to the other, and their …

Combining with Carbon dioxide column concentration (XCO 2) remote sensing data, it is of
great scientific significance to obtain XCO 2 long time series data with high precision and …

Red tides that occur off coasts have become a worldwide phenomenon over the past
decades. In order to mitigate the damage of the red tides on the aquatic ecosystems, it is …