Article
Environmental Sciences
Qiaohua Zhao, Jia Xu, Jianjian Wang, Ling Liu
Summary: Research indicates that vertical eddy diffusivity in Taihu Lake exhibits significant seasonal and spatial variations, with a strong influence from meteorological factors such as solar radiation and wind. The intensity of VED varies in different seasons and regions, playing a crucial role in the evolution of the aquatic ecosystem in Taihu Lake.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Yan Li, Shenglu Zhou, Zhenyi Jia, Ke Liu, Genmei Wang
Summary: Heavy metals in atmospheric dust can pollute soil, water, and sediment, posing a threat to human health. This study focused on the temporal and spatial distribution of heavy metals in atmospheric deposition in western Taihu Lake. Results showed that heavy metal concentrations were higher in winter, lower in summer, and correlated with distance from the city. The health risk assessment values were higher in winter and spring, especially near the city and in suburbs.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Liang Yu, Xiaodong Liu, Zulin Hua, Yuan Zhang, Hongqin Xue
Summary: This study investigated the long-term temporal-spatial trends of PFAAs in Taihu Lake and predicted future PFAA concentrations. The results showed that the northern region had the highest PFAA contamination and the wet season had higher and more uniform concentrations. These findings are significant for policy decisions regarding PFAA pollution.
ENVIRONMENTAL POLLUTION
(2022)
Article
Biodiversity Conservation
Yuxin Zhu, Yunmei Li, Shun Bi, Heng Lyu, Xiaolan Cai, Huaijing Wang, Junda Li, Jianzhong Li, Jie Xu
Summary: The proliferation of algal blooms can cause environmental issues, and different treatment methods are needed for different species. This study developed a model to differentiate algae species based on remote sensing reflectance differences. Using images of Lake Taihu, it was found that Microcystis was the dominant algae, followed by Pseudanabaena and Aphanizomenon. This research provides important insights for the prediction and prevention of blooms in inland lakes.
ECOLOGICAL INDICATORS
(2023)
Article
Limnology
Xin Hu, Jing Li, Juan Wang, Li Yin, Kaipian Shi, Heyong Huang, Yong Zhang, Shiyin Li
Summary: This study sampled and separated sedimentary colloids from different regions in Taihu Lake, China, and found that the surface of the colloids is covered with organic macromolecular substances, including humic acid, protein, and fulvic acid. The presence of humic acid effectively inhibits colloid aggregation and enhances colloid stability. Low-molecular-weight colloids exhibit higher stability efficiency than high-molecular-weight colloids.
JOURNAL OF OCEANOLOGY AND LIMNOLOGY
(2023)
Article
Environmental Studies
Jingtai Li, Yao Liu, Siying Xie, Min Li, Li Chen, Cuiling Wu, Dandan Yan, Zhaoqing Luan
Summary: This study monitored the spatiotemporal distribution of cyanobacterial blooms in Taihu Lake from 1984 to 2021 using high-resolution remote sensing images, and investigated the influence of water quality and meteorological factors on the blooms. The results showed an increasing trend in both the area and frequency of cyanobacterial blooms in Taihu Lake, which were greatly influenced by water quality and meteorological factors.
Article
Agronomy
Chonggang Liu, Jiangye Li, Wei Sun, Yan Gao, Zhuyun Yu, Yue Dong, Pingxing Li
Summary: Soil elemental stoichiometry, represented by the ratios of carbon (C), nitrogen (N), and phosphorus (P), plays a crucial role in regulating biogeochemical processes in terrestrial ecosystems. The stoichiometric characteristics of agricultural soil may differ from those of natural ecosystems, and vary over time and space in response to changes in land use types. The balance of C, N, and P in soil is essential for microbial activity and sustainable agricultural development, but little is known about how soil stoichiometry changes after long-term land use alterations.
Article
Environmental Sciences
Wei Zou, Guangwei Zhu, Hai Xu, Mengyuan Zhu, Yunlin Zhang, Boqiang Qin
Summary: Eutrophication and algal blooms are significant environmental challenges for lakes worldwide. This study examined the relationships between nutrient levels (total nitrogen and total phosphorus) and chlorophyll a in Chinese Lake Taihu from 2005 to 2020. The results showed robust linear relationships, and recommended nutrient thresholds for the lake. Additionally, the study found that factors such as temperature, water level, wind speed, nitrogen to phosphorus ratio, and grazing influenced the sensitivity of chlorophyll a to nutrients, and atmospheric stilling was identified as a key climatic factor affecting algal blooms in Lake Taihu.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Guiling Wang, Lei Ye
Summary: This study evaluated the spatial-temporal pattern of high-quality development mismatch of tourism in the Taihu Lake Basin and analyzed its influencing mechanism. The results showed that the mismatch degree of high-quality development in the region is decreasing, but regional imbalance is prominent. The study proposed three combination paths and corresponding suggestions to promote the transformation and upgrading of tourism and achieve coordinated development in the Taihu Lake Basin.
Article
Engineering, Marine
C. Qiao, A. T. Myers, A. Natarajan
Summary: In many cases, separate distributions are used to represent the frequently occurring or extreme values of a time series dataset, which can be cumbersome and inconsistent. This paper proposes a new method that combines Extreme Value Theory with a distribution for frequently occurring values to accurately estimate the probabilities of extreme values in a time series without assuming independence. The method is useful for time series with temporal correlation, such as offshore wind speeds.
Article
Environmental Sciences
Siqi Wang, Xiang Zhang, Chao Wang, Nengcheng Chen
Summary: A cyanobacterial prediction model was developed for Lake Taihu using a machine learning method, which can generate continuous cyanobacterial data at a fine spatial scale and 24-hour temporal resolution. The results showed that meteorological conditions can influence the occurrence of cyanobacterial blooms, and the model can provide cyanobacterial data for target waterbodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Ecology
Zhen Yang, Xiaoli Shi, Yang Yu, Min Zhang
Summary: The dominant bloom-forming cyanobacterial population in Lake Taihu over the past two decades has been Microcystis. This study conducted an annual investigation of Microcystis colonies, focusing on their size, morphospecies, and viability, from 2020 to 2021, in order to understand the temporal and spatial variation in their characteristics and key environmental factors. The average colony diameter ranged from 81.12 to 499.54 μm across all sites during the investigation. The main dominant morphotypes were Microcystis flos-quae, Microcystis aeruginosa, Microcystis novacekii, and Microcystis wesenbergii, which were primarily influenced by pH, TDP, and temperature. While there was no significant correlation between colony viability and environmental factors, there were notable temporal differences in colony viability, with lower viability observed in autumn, spring, and July.
Article
Environmental Sciences
Kangning Jia, Yanbin Tang, Qinghe Liu, Rongliang Zhang, Yibo Liao, Lu Shou, Jiangning Zeng, Quanzhen Chen, Jianfang Chen
Summary: The water quality in Hangzhou Bay is negatively affected by discharges from Yangtze River, Qiantang River, and nearby factories. This study examined the relationship between the environment and macrobenthic communities in Hangzhou Bay, revealing significant differences in abundance and biomass of macrobenthos among different regions. The sediment grain size and salinity were found to be important factors influencing the distribution of macrobenthic species. The frontal area of the bay exhibited higher species richness and biomass, with polychaetes and mollusks being the key differentiating species.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Xin Gao, Juqin Shen, Weijun He, Xu Zhao, Zhichao Li, Weifang Hu, Jingzhe Wang, Yingjie Ren, Xin Zhang
Summary: This study analyzes the ecosystem service value of the Taihu Lake Basin (Jiangsu section) from 2005 to 2018, explores the relationship between ESV and land use intensity, constructs a compensation standard accounting model, and finds that factors such as land use change, market conditions, population, area, and GDP have a significant impact on compensation subjects and objects, as well as compensation standards.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Feng Lan, Wang Haisen, Yan Yan
Summary: Urban river pollution is a result of disproportionate developmental expansion in metropolises. The construction of sluices leads to deterioration of the water quality in the upper reaches of rivers, while the water quality is usually better in summer and autumn.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
