Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake
Cyanobacterial blooms (CBs) are a growing concern for shallow plateau lakes, and numerous studies have investigated the relationship between CBs and meteorological factors. However, these studies have typically lacked comprehensive analyses and neglected the impact of lag effects. This study employe...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23005368 |
| _version_ | 1797802863515140096 |
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| author | Quan Wang Tao Wang Shengping Zhao Kun Yang Xinyu Wen Minhui Zhao Fen Luo Baoli Jiang Yang Jin Baoying Zhang |
| author_facet | Quan Wang Tao Wang Shengping Zhao Kun Yang Xinyu Wen Minhui Zhao Fen Luo Baoli Jiang Yang Jin Baoying Zhang |
| author_sort | Quan Wang |
| collection | DOAJ |
| description | Cyanobacterial blooms (CBs) are a growing concern for shallow plateau lakes, and numerous studies have investigated the relationship between CBs and meteorological factors. However, these studies have typically lacked comprehensive analyses and neglected the impact of lag effects. This study employed Landsat satellite imagery to extract CBs information from Xingyun Lake from 1990 to 2019 and conducted a lag correlation analysis between meteorological factors ranging from 1 to 30 days with a 1-day step and CBs. The result show that the Sunshine Duration displayed a negative correlation with CBs at an 8-day lag, but when Sunshine Duration was <6 h, it exhibited a positive relationship with CBs at a 1-day lag. And daytime precipitation had a more substantial positive link with CBs than nighttime precipitation at a lag of 13 days. The aforementioned conclusions deepen our comprehension of the meteorological forces that drive cyanobacterial blooms in plateau lakes. Moreover, the maximum and minimum wind velocities were negatively and positively associated with CBs with lags of 20 and 29 days, respectively. In addition, relative humidity and atmospheric pressure were positively associated with cyanobacterial blooms 13–19 days and 3 days after their onset, respectively. The relationship between air temperature and cyanobacterial blooms in Xingyun Lake was weak. Our research emphasizes the significance of incorporating delayed effects and refined meteorological factors for accurate cyanobacterial bloom forecasting. |
| first_indexed | 2024-03-13T05:13:14Z |
| format | Article |
| id | doaj.art-9463da4597b8472a8bb139a5e81de9f0 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-13T05:13:14Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-9463da4597b8472a8bb139a5e81de9f02023-06-16T05:08:38ZengElsevierEcological Indicators1470-160X2023-09-01153110394Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lakeQuan Wang0Tao Wang1Shengping Zhao2Kun Yang3Xinyu Wen4Minhui Zhao5Fen Luo6Baoli Jiang7Yang Jin8Baoying Zhang9Faculty of Geography, Yunnan Normal University, Yunnan 650500, China; College of Chemistry, Biology, and Environment, Yuxi Normal University, Yuxi 653100, China; GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Yunnan 650500, China; Institute of Biology and Environmental Engineering, Yuxi Normal University, Yuxi 653100, ChinaCollege of Geography and Land Engineering, Yuxi Normal University, Yuxi 653100, ChinaCollege of Physics and Electronic Engineering, Yuxi Normal University, Yuxi 653100, ChinaFaculty of Geography, Yunnan Normal University, Yunnan 650500, China; GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Yunnan 650500, China; Corresponding author at: Faculty of Geography, Yunnan Normal University, Yunnan 650500, China.College of Geography and Land Engineering, Yuxi Normal University, Yuxi 653100, ChinaCollege of Chemistry, Biology, and Environment, Yuxi Normal University, Yuxi 653100, ChinaCollege of Chemistry, Biology, and Environment, Yuxi Normal University, Yuxi 653100, ChinaCollege of Chemistry, Biology, and Environment, Yuxi Normal University, Yuxi 653100, ChinaCollege of Chemistry, Biology, and Environment, Yuxi Normal University, Yuxi 653100, ChinaCollege of Chemistry, Biology, and Environment, Yuxi Normal University, Yuxi 653100, ChinaCyanobacterial blooms (CBs) are a growing concern for shallow plateau lakes, and numerous studies have investigated the relationship between CBs and meteorological factors. However, these studies have typically lacked comprehensive analyses and neglected the impact of lag effects. This study employed Landsat satellite imagery to extract CBs information from Xingyun Lake from 1990 to 2019 and conducted a lag correlation analysis between meteorological factors ranging from 1 to 30 days with a 1-day step and CBs. The result show that the Sunshine Duration displayed a negative correlation with CBs at an 8-day lag, but when Sunshine Duration was <6 h, it exhibited a positive relationship with CBs at a 1-day lag. And daytime precipitation had a more substantial positive link with CBs than nighttime precipitation at a lag of 13 days. The aforementioned conclusions deepen our comprehension of the meteorological forces that drive cyanobacterial blooms in plateau lakes. Moreover, the maximum and minimum wind velocities were negatively and positively associated with CBs with lags of 20 and 29 days, respectively. In addition, relative humidity and atmospheric pressure were positively associated with cyanobacterial blooms 13–19 days and 3 days after their onset, respectively. The relationship between air temperature and cyanobacterial blooms in Xingyun Lake was weak. Our research emphasizes the significance of incorporating delayed effects and refined meteorological factors for accurate cyanobacterial bloom forecasting.http://www.sciencedirect.com/science/article/pii/S1470160X23005368Xingyun lakeFloat algal indexLandsatSunshine durationPrecipitation |
| spellingShingle | Quan Wang Tao Wang Shengping Zhao Kun Yang Xinyu Wen Minhui Zhao Fen Luo Baoli Jiang Yang Jin Baoying Zhang Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake Ecological Indicators Xingyun lake Float algal index Landsat Sunshine duration Precipitation |
| title | Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake |
| title_full | Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake |
| title_fullStr | Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake |
| title_full_unstemmed | Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake |
| title_short | Comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake |
| title_sort | comprehensive meteorological factors analysis and lag correlation study for cyanobacterial blooms in shallow plateau lake |
| topic | Xingyun lake Float algal index Landsat Sunshine duration Precipitation |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23005368 |
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