Multi-factor identification and modelling analyses for managing large river algal blooms
Multi-factor identification and modelling analyses for managing large river algal blooms
复制标题
治理大型河流藻华的多因素识别和建模分析
DOI:
10.1016/j.envpol.2019.113056
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发表时间:
2019
影响因子:
8.9
通讯作者:
Yang Zhongwen
中科院分区:
文献类型:
--
作者:
Xia Rui;Zhang Yuan;Wang Gangsheng;Zhang Yongyong;Dou Ming;Hou Xikang;Qiao Yunfeng;Wang Qiang;Yang Zhongwen
River algal blooms have become a newly emerging global environmental issue in recent decades. Compared with water eutrophication in lakes and reservoirs, algal blooms in large river systems can cause more severe consequences to watershed ecosystems at the watershed scale. However, reveal the causes of river algal blooms remains challenging in the interdisciplinary of hydrological-ecological-environmental research, due to its complex interaction mechanisms impacted by multiple factors. In addition, there were still considerable uncertainties on the characteristics, impacts, driving factors, as well as the applicable water system models for river algal blooms. In this paper, we reviewed existing literature to elaborate the definition and negative effects of river algal blooms. We analyzed sensitive factors including nutrient, hydrological and climatic elements. We also discussed the application of ecohydrological models under complicated hydrological conditions. Finally, we explored the essence of the river algal bloom by the interaction effects of physical and biogeochemical process impacted by of climate change and human activities. The model-data integration accounting for multi-factor effects was expected to provide scientific guidance for the prevent and control of algal blooms in large river systems.