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AuthorTing, Zhou
AuthorQu, Hongwei
AuthorWang, Yan
AuthorAlatalo, Juha M.
AuthorQian, Jun
AuthorZhuan, Sunxinyu
AuthorJiang, Bo
Available date2023-09-28T07:05:24Z
Publication Date2023-08-31
Publication NameJournal of Hydrology
Identifierhttp://dx.doi.org/10.1016/j.jhydrol.2023.129869
ISSN00221694
URIhttps://www.sciencedirect.com/science/article/pii/S0022169423008119
URIhttp://hdl.handle.net/10576/48014
AbstractAlgal blooms threaten water safety and quality, particularly in lakes with vulnerable environment and advanced urbanization. Due to low water exchange rate and multiple human activity influences, algal blooms in inland lakes display highly dynamic spatio-temporal distributions. This paper proposes a comprehensive framework for risk assessment of algal bloom coupling quantity and distribution based on remote sensing observations. The framework comprises algal bloom recognition, spatial zonation, quantity-distribution multivariate joint distribution construction, and risk assessment. The framework was applied to China's giant shallow and algae-prone lake, Chaohu Lake, to assess the annual algal bloom risk from 2000 to 2021. The results showed that this proposed method could achieve a more comprehensive and objective risk assessment by coupling the quantity and distribution of algal blooms. Furthermore, the internal dependence of algal bloom fluctuation in different zones was explicitly presented. This framework promotes systematic integration of algal bloom risk assessment, taking into account its highly spatio-temporal dynamic feature. It creates a quantitative approach to gain insights into the evolution of quantity and distribution in various environmental assessments.
SponsorThis work was supported by the National Natural Science Foundation of China (Grant No. U2243228); Natural Science Foundation of Anhui Province (Grant No. 2008085ME158); Anhui Province Key Laboratory of Industrial Wastewater and Environmental Treatment (Grant No. ECEC-DHSZ202202).
Languageen
PublisherElsevier
SubjectRisk assessment
Quantity and distribution
Algal blooms
Vine copula
Chaohu Lake
TitleA quantity-distribution synthesized framework for risk assessment of algal blooms
TypeArticle
Volume Number623
dc.accessType Full Text


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