Dynamic monitoring and prediction of Dianchi Lake cyanobacteria outbreaks in the context of rapid urbanization

Abstract

Water crises have been among the most serious environmental problems worldwide since the twenty-first century. A water crisis is marked by a severe shortage of water resources and deteriorating water quality. As an important component of water resources, lake water quality has deteriorated rapidly in the context of fast urbanization and climate change. This deterioration has altered the water ecosystem structure and influenced lake functionality. To curb these trends, various strategies and procedures have been used in many urban lakes. Among these procedures, accurate and responsive water environment monitoring is the basis of the forecasting and prevention of large-scale cyanobacteria outbreaks and improvement of water quality. To dynamically monitor and predict the outbreak of cyanobacteria in Dianchi Lake, in this study, wireless sensors networks (WSNs) and the geographic information system (GIS) are used to monitor water quality at the macro-scale and meso-scale. Historical, real-time water quality and weather condition data were collected, and a combination prediction model (adaptive grey model (AGM) and back propagation artificial neural network (BPANN)) was proposed. The correlation coefficient (R) of the simulation experiment reached 0.995. Moreover, we conducted an empirical experiment in Dianchi Lake, Yunnan, China using the proposed method. R was 0.93, and the predicting error was 4.77. The results of the experiment suggest that our model has good performance for water quality prediction and can forecast cyanobacteria outbreaks. This system provides responsive forewarning and data support for lake protection and pollution control.

Waterbird Composition and Changes With Wetland Park Construction at Lake Dianchi, Yunnan–Guizhou Plateau

“…In addition, large amounts of urban sewage and industrial wastewater have been discharged into the lake, exceeding its self-purification capacity and causing serious pollution. It has also been badly affected by cyanobacteria outbreaks in recent decades (Luo et al 2017). To control the pollution of Dianchi, the Chinese government listed it as a national sewage treatment project in the ''Three Rivers and Three Lakes'' (Liaohe, Huaihe, Haihe, Taihu, Chaohu, and Dianchi) scheme launched in 1995 (Liu and Qiu, 2007).…”

The Spatiotemporal Characteristics of Chinese Civil Vehicles’ Possession in the Context of Rapid Economic Development from 1996 to 2015

“…Based on the previous work [33][34][35] And then we used principal components analysis (PCA) to calculate the weighted composite index that quantifies the level of economic development. Finally, we used panel data modeling to comprehensively examine the impact of economic development on the possession of civil vehicles in the country, various economic regions and provinces.…”

“…Based on the previous work [33][34][35] We analyze the possession of civil vehicles curve and map and use the Theil index to quantify the spatial distribution. And then we used principal components analysis (PCA) to calculate the weighted composite index that quantifies the level of economic development.…”

Long and short‐term assessment of surface area changes in saline and freshwater lakes via remote sensing

“…Thus, data obtained via images may be considered as valuable input data derived in a short period to be further utilized in developing the short and long‐term remedial actions. Short‐term efforts cover usually event‐based studies and/or focus on monthly or seasonal variations in an annual duration; whereas, long‐term studies provide detailed information on the region's history and allow the scientists and practitioners to make queries and scenario analyses for future (Zheng et al ., 2015; Luo et al ., 2017). Liu et al .…”