Emerging role of dissolved organic nitrogen in supporting algal bloom persistence in Lake Taihu, China: Emphasis on internal transformations

Yao, Xiaolong; Zhang, Yunlin; Zhang, Lu; Zhu, Guangwei; Qin, Boqiang; Zhou, Yongqiang; Xue, Jingya

doi:10.1016/j.scitotenv.2020.139497

Cited by 46 publications

(17 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DON is ubiquitous in surface water. Typical DON concentration in surface water lies in the range of 0.02–10.0 mg N/L with a mean of approximately 0.3 mg N/L ( Seitzinger and Sanders, 1997 ; Westerhoff and Mash, 2002 ; Xu et al., 2010 ; Yao et al., 2020 ). Excessive DON can lead to eutrophication and acidification ( Yao et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…Typical DON concentration in surface water lies in the range of 0.02–10.0 mg N/L with a mean of approximately 0.3 mg N/L ( Seitzinger and Sanders, 1997 ; Westerhoff and Mash, 2002 ; Xu et al., 2010 ; Yao et al., 2020 ). Excessive DON can lead to eutrophication and acidification ( Yao et al., 2020 ). Furthermore, when surface water is treated for drinking purposes, DON can react with chlorinated disinfectants to form disinfection byproducts (DBPs) ( Gu et al., 2011 ; Mazhar et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatial variation of dissolved organic nitrogen in Wuhan surface waters: Correlation with the occurrence of disinfection byproducts during the COVID-19 pandemic

et al. 2021

View full text Add to dashboard Cite

Intensified sanitization practices during the recent coronavirus disease-2019 (COVID-19) led to the release of chlorine-based disinfectants in surface water, potentially triggering the formation of disinfection byproducts (DBPs) in the presence of dissolved organic nitrogen (DON). Thus, a comprehensive investigation of DON's spatial distribution and its association with DBP occurrence in the surface water is urgently needed. In this study, a total of 51 water samples were collected from two rivers and four lakes in May 2020 in Wuhan to explore the regional variation of nitrogen (N) species, DON's compositional characteristics, and the three classes of DBP occurrence. In lakes, 53.0% to 86.3% of N existed as DON, with its concentration varying between 0.3–4.0 mg N/L. In contrast, NO 3 − -N was the dominant N species in rivers. Spectral analysis revealed that DON in the lakes contained higher humic and fulvic materials with higher A 254 , A 253 /A 203, SUVA 254 , and P III+IV /P I+II+V ratios, while rivers had higher levels of hydrophilic compounds. Trihalomethanes (THMs) were the most prevalent DBPs in the surface waters, followed by N-nitrosamines and haloacetonitriles (HANs). The levels of N-nitrosamines (23.1–97.4 ng/L) increased significantly after the outbreak of the COVID-19 pandemic. Excessive DON in the surface waters was responsible for the formation of N-nitrosamines. This study confirmed that the presence of DON in surface water could result in DBP formation, especially N-nitrosamines, when disinfectants were discharged into surface water during the COVID-19 pandemic.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial variation of dissolved organic nitrogen in Wuhan surface waters: Correlation with the occurrence of disinfection byproducts during the COVID-19 pandemic

et al. 2021

View full text Add to dashboard Cite

show abstract

“…These lengthening durations of beneficial conditions for cyanobacteria support greater nitrogen uptake and biomass production, thereby contributing to the observed decreases in NO x and corresponding increases in TKN concentrations in the surface waters over time. The increases in TKN during this time span provide complementary evidence of worsening blooms and is indicative of greater seasonal buildup of phytoplankton biomass (organic nitrogen) and intensification of internal nutrient cycling (NH 4 ) within the water column, which is often associated with blooms (Cottingham et al, 2015; Yao et al, 2020). Associated with these observations, the GAM for stratifying reservoirs showed that warmer June surface water temperatures may set the stage for cyanobacteria growth, but dryer than average summers might lessen bloom severities by possibly reducing the nutrient loads needed to fuel and sustain their growth.…”

Section: Discussionmentioning

confidence: 99%

Increasingly severe cyanobacterial blooms and deep water hypoxia coincide with warming water temperatures in reservoirs

Smucker

Beaulieu

Nietch

et al. 2021

Global Change Biology

View full text Add to dashboard Cite

Cyanobacterial blooms are expected to intensify and become more widespread with climate change and sustained nutrient pollution, subsequently increasing threats to lentic ecosystems, water quality, and human health. However, little is known about their rates of change because long‐term monitoring data are rare, except for some well‐studied individual lakes, which typically are large and broadly dispersed geographically. Using monitoring data spanning 1987–2018 for 20 temperate reservoirs located in the USA, we found that cyanobacteria cell densities mostly posed low‐to‐moderate human health risks until 2003–2005, after which cell densities rapidly increased. Increases were greatest in reservoirs with extensive agriculture in their watersheds, but even those with mostly forested watersheds experienced increases. Since 2009, cell densities posing high human health risks have become frequent with 75% of yearly observations exceeding 100,000 cells ml−1, including 53% of observations from reservoirs with mostly forested watersheds. These increases coincided with progressively earlier and longer summer warming of surface waters, evidence of earlier onset of stratification, lengthening durations of deep‐water hypoxia, and warming deep waters in non‐stratifying reservoirs. Among years, higher cell densities in stratifying reservoirs were associated with greater summer precipitation, warmer June surface water temperatures, and higher total Kjeldahl nitrogen concentrations. These trends are evidence that expected increases in cyanobacterial blooms already are occurring as changing climate conditions in some regions increasingly favor their proliferation. Consequently, their negative effects on ecosystems, human health, and socioeconomic wellbeing could increase and expand if warming trends and nutrient pollution continue.

show abstract

“…However, the large population, urbanization, industrial development, intensive agriculture and tourism activities caused hypereutrophic and experienced algal blooms in Lake Taihu since 1990s [61][62][63]. During the past 20 years, more than 25% area of the whole lake has been frequently covered by floating algae in spring and summer due to eutrophication [62][63][64][65]. A very severe cyanobacterial bloom occurred in May 2007, depriving more than 2 million people from drinking water for 8 days (May 30 th to June 6 th ) [60].…”

Section: Study Areamentioning

confidence: 99%

Automatic Detection of Algal Blooms Using Sentinel-2 MSI and Landsat OLI Images

Zhu

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Algal bloom is a serious global issue for inland waters, posing pose a serious threat to aquatic ecosystems. The timely and accurate detection of algal blooms is critical for their control, management and forecasting. Optical satellite imagery with short revisit times has been widely used to monitor algal blooms in marine and large inland waters. However, such images typically are of coarse resolution, limiting their utility to map algal blooms in small inland waters. We developed a new method to map the spatial extent of algal blooms using Sentinel-2 MSI and Landsat OLI images with higher spatial resolution but lower temporal resolution based on the concept of Local Indicator of Spatial Association. The mapping results was applied to measure the duration and frequency of algal blooms in Lake Taihu from 2017 to 2020. Our results show that the developed methodology is able to extract the spatial distribution of moderate algal blooms using near-infrared and red-edge bands (band 6, 7, 8 and 8a of Sentinel-2 MSI images or band 5 of Landsat OLI images) by comparison with MODIS FAI data (R2 = 0.888 for Sentinel-2 MSI and R2 = 0.85 for Landsat OLI, P < 0.05). However, the temporal resolution of combined Landsat OLI and Sentinel-2 MSI images (i.e., up to 2-3 days) is insufficient to monitor algal blooms during the summer time in Lake Taihu due to cloud effects and rapid algal change. Our research has benefits for the management of small inland waters with complex water conditions.

show abstract

Emerging role of dissolved organic nitrogen in supporting algal bloom persistence in Lake Taihu, China: Emphasis on internal transformations

Cited by 46 publications

References 67 publications

Spatial variation of dissolved organic nitrogen in Wuhan surface waters: Correlation with the occurrence of disinfection byproducts during the COVID-19 pandemic

Spatial variation of dissolved organic nitrogen in Wuhan surface waters: Correlation with the occurrence of disinfection byproducts during the COVID-19 pandemic

Increasingly severe cyanobacterial blooms and deep water hypoxia coincide with warming water temperatures in reservoirs

Automatic Detection of Algal Blooms Using Sentinel-2 MSI and Landsat OLI Images

Contact Info

Product

Resources

About