| Citation: | ZHANG X D,CUI J L,XIONG Y,et al.Study on the distribution and key influencing factors of Huangtai algae of Ulansuhai Lake[J].Journal of Environmental Engineering Technology，2024，14（3）：879-888 doi: 10.12153/j.issn.1674-991X.20230782
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Huangtai algae outbreaks are an important environmental problem for the water environment and ecological health of Ulansuhai Lake, and it is of great practical significance to identify the distribution of Huangtai algae and explore the key factors affecting it for the prevention and scientific control of huangtai algae outbreaks. Based on the satellite remote sensing images and unmanned aerial photography data from 2013 to 2020, the distribution of Huangtai algae in Ulansuhai Lake was identified and the area statistics were conducted by using the random forest (RF) method, and then the key factors affecting the change of Huangtai algae area were screened by using the grey correlation analysis (GRA) model. The results showed that the ten-fold cross-validated random forest model achieves 99% accuracy on the training set and 92.8% average accuracy on the test set. In terms of the interannual trend, the Huangtai algae area fluctuated greatly in 2014-2015 and 2016-2017, decreasing from 18.92 to 10.59 km2 and increasing from 13.31 to 22.48 km2, respectively, while at the same time, the Huangtai algae area of other years was relatively stable. In terms of spatial variation, Huangtai algae were more densely distributed in the inlet area and the center of Ulansuhai Lake. In addition, the results of the GRA showed that the correlation between the area of Huangtai algae and water quality indexes changed dynamically in different growth periods. Specifically, the change of Huangtai algae area was significantly affected by water temperature and organic matter concentration in May, more affected by comprehensive environmental factors (water temperature, organic matter concentration and nitrogen and phosphorus nutrients) from June to August, and more affected by nitrogen, phosphorus and other nutrients as well as competitive relationship in September. The study revealed the complex interaction between the growth of Huangtai algae and water quality factors and biological competition, which could provide a scientific basis for the control of Huangtai algae and the health maintenance of water ecosystem.
| [1] |
赵永宏, 邓祥征, 吴锋, 等. 乌梁素海流域氮磷减排与区域经济发展的均衡分析[J]. 环境科学研究,2011,24(1):110-117.
ZHAO Y H, DENG X Z, WU F, et al. Equilibrium analysis between nitrogen and phosphorus emission reduction and regional economic development of Wuliangsuhai watershed[J]. Research of Environmental Sciences,2011,24(1):110-117.
|
| [2] |
乌云, 朝伦巴根, 李畅游, 等. 乌梁素海表层沉积物营养元素及重金属空间分布特征[J]. 干旱区资源与环境,2011,25(4):143-148.
WU Y, CHAO L, LI C Y, et al. The spatial distribution characteristics of nutrient elements and heavy metals in surface sediments of Lake Wuliangsuhai[J]. Journal of Arid Land Resources and Environment,2011,25(4):143-148.
|
| [3] |
李兴, 勾芒芒. 内蒙古乌梁素海“黄苔”暴发初探及防治对策[J]. 环境工程,2010,28(6):28-30.
LI X, GOU M M. Analysis of factors of algal bloom of Wuliangsuhai Lake in Inner Mongolia[J]. Environmental Engineering,2010,28(6):28-30.
|
| [4] |
杨勇, 樊刚强. 基于MODIS的乌梁素海“黄苔” 监测预警系统构建[J]. 产业与科技论坛,2021,20(13):58-59.
|
| [5] |
张璐, 刘碧云, 葛芳杰, 等. 丝状绿藻生长的环境影响因子及控制技术研究进展[J]. 生态学杂志,2017,36(7):2029-2035.
ZHANG L, LIU B Y, GE F J, et al. The research progress in environmental factors and control techniques of filamentous green algae growth[J]. Chinese Journal of Ecology,2017,36(7):2029-2035.
|
| [6] |
李一民, 谭振宇, 杨辰, 等. 基于多源卫星的滇池藻华提取机器学习算法研究[J]. 地球科学进展,2022,37(11):1141-1156.
LI Y M, TAN Z Y, YANG C, et al. Extraction of algal blooms in Dianchi Lake based on multi-source satellites using machine learning algorithms[J]. Advances in Earth Science,2022,37(11):1141-1156.
|
| [7] |
李加龙, 罗纯良, 吕恒, 等. 2002—2018年滇池外海蓝藻水华暴发时空变化特征及其驱动因子[J]. 生态学报,2023,43(2):878-891.
LI J L, LUO C L, LÜ H, et al. Spatio-temporal variation and driving factors of algal bloom at Lake Dianchi during 2002-2018[J]. Acta Ecologica Sinica,2023,43(2):878-891.
|
| [8] |
孔维娟, 马荣华, 段洪涛, 等. 太湖秋冬季蓝藻水华MODIS卫星遥感监测[J]. 遥感信息,2009,24(4):80-84.
KONG W J, MA R H, DUAN H T, et al. Monitoring cyanobacterial blooms using MODIS images in Taihu Lake, China[J]. Remote Sensing Information,2009,24(4):80-84.
|
| [9] |
KUMAR A, MISHRA D R, ILANGO N. Landsat 8 virtual orange band for mapping cyanobacterial blooms[J]. Remote Sensing,2020,12(5):868. doi: 10.3390/rs12050868
|
| [10] |
辛华荣, 朱广伟, 王雪松, 等. 2009—2018年太湖湖泛强度变化及其影响因素[J]. 环境科学,2020,41(11):4914-4923.
XIN H R, ZHU G W, WANG X S, et al. Variation and driving factors of black water event intensity in Lake Taihu during 2009 to 2018[J]. Environmental Science,2020,41(11):4914-4923.
|
| [11] |
郑伟, 韩秀珍, 刘诚, 等. 内蒙古乌梁素海“黄苔” 暴发卫星遥感动态监测[J]. 湖泊科学,2010,22(3):321-326.
ZHENG W, HAN X Z, LIU C, et al. Satellite remote sensing data monitoring "Huang Tai" algae bloom in Lake Ulansuhai, Inner Mongolia[J]. Journal of Lake Sciences,2010,22(3):321-326.
|
| [12] |
刘云翔, 吴浩. 基于随机森林算法的水华预警模型[J]. 人民黄河,2018,40(8):75-77.
LIU Y X, WU H. Water bloom early warning model based on random forest[J]. Yellow River,2018,40(8):75-77.
|
| [13] |
杨庆振, 郭敏, 范新成. 基于随机森林算法的高光谱遥感作物分类[J]. 测绘与空间地理信息,2023,46(4):149-151.
YANG Q Z, GUO M, FAN X C. Hyper-spectral remote sensing crop classification based on random forest algorithm[J]. Geomatics & Spatial Information Technology,2023,46(4):149-151.
|
| [14] |
李海霞, 韩丽花, 蔚青, 等. 基于灰色关联分析法的辽河保护区河流水生态健康评价[J]. 环境工程技术学报,2020,10(4):553-561.
LI H X, HAN L H, YU Q, et al. Assessment on river water ecological health based on grey relation analysis in Liaohe Conservation Area[J]. Journal of Environmental Engineering Technology,2020,10(4):553-561.
|
| [15] |
李强, 张芹, 南红岩. 典型硅藻生长相关因素的灰色关联度研究与模型[J]. 环境监测管理与技术,2017,29(4):19-22.
LI Q, ZHANG Q, NAN H Y. The grey correlation research and model of typical diatom growth correlative factors[J]. The Administration and Technique of Environmental Monitoring,2017,29(4):19-22.
|
| [16] |
白玉廷, 王立, 王小艺, 等. 基于熵权灰关联的水华治理多层次决策方法[J]. 计算机仿真,2014,31(6):251-255.
BAI Y T, WANG L, WANG X Y, et al. Method of multi-level decision-making on governance of water bloom based on entropy and gray correlation degree[J]. Computer Simulation,2014,31(6):251-255.
|
| [17] |
刘莹慧, 卢俊平, 赵胜男, 等. 基于长时间序列乌梁素海水环境变化趋势及生态补水等关键驱动因子分析(2011—2020年)[J]. 湖泊科学,2023,35(6):1939-1948.
LIU Y H, LU J P, ZHAO S N, et al. Water environment change trend and ecological water replenishment of Lake Wuliangsuhai and other key driving factors analysis based on long time series(2011-2020)[J]. Journal of Lake Sciences,2023,35(6):1939-1948.
|
| [18] |
芦津, 杨瑾晟, 罗菊花, 等. 环境因子及生态补水对乌梁素海“黄苔” 年际暴发面积的影响(1986—2021年)[J]. 湖泊科学,2023,35(6):1881-1890.
LU J, YANG J S, LUO J H, et al. Impacts of environmental factors and ecological hydration on the interannual changes of metaphytic blooms area in Lake Ulansuhai (1986-2021)[J]. Journal of Lake Sciences,2023,35(6):1881-1890.
|
| [19] |
高京, 曹晶, 储昭升, 等. 丝状藻响应温度变化的生长及功能特性[J]. 土木与环境工程学报(中英文),2020,42(6):196-204.
GAO J, CAO J, CHU Z S, et al. Growth and functional traits in filamentous algae responding to temperature[J]. Journal of Civil and Environmental Engineering,2020,42(6):196-204.
|
| [20] |
杨志岩, 李畅游, 张生, 等. 内蒙古乌梁素海叶绿素a浓度时空分布及其与氮、磷浓度关系[J]. 湖泊科学,2009,21(3):429-433. doi: 10.18307/2009.0318
YANG Z Y, LI C Y, ZHANG S, et al. Temporal and spatial distribution of chlorophyll-a concentration and the relationships with TN, TP concentrations in Lake Ulansuhai, Inner Mongolia[J]. Journal of Lake Sciences,2009,21(3):429-433. doi: 10.18307/2009.0318
|
| [21] |
赵晏慧, 李韬, 黄波, 等. 2016—2020年长江中游典型湖泊水质和富营养化演变特征及其驱动因素[J]. 湖泊科学,2022,34(5):1441-1451. doi: 10.18307/2022.0503
ZHAO Y H, LI T, HUANG B, et al. Evolution characteristics and driving factors of water quality and eutrophication of typical lakes in the middle reaches of the Yangtze River from 2016 to 2020[J]. Journal of Lake Sciences,2022,34(5):1441-1451. doi: 10.18307/2022.0503
|
| [22] |
秦伯强, 高光, 朱广伟, 等. 湖泊富营养化及其生态系统响应[J]. 科学通报,2013,58(10):855-864. doi: 10.1360/csb2013-58-10-855
QIN B Q, GAO G, ZHU G W, et al. Lake eutrophication and its ecosystem response[J]. Chinese Science Bulletin,2013,58(10):855-864. doi: 10.1360/csb2013-58-10-855
|
| [23] |
张曼, 郜小龙, 王一帆, 等. 生物操纵方法对水绵(Spirogyra)的调控效应[J]. 环境科学学报,2019,39(3):722-729.
ZHANG M, GAO X L, WANG Y F, et al. Effects of biomanipulation control on Spirogyra[J]. Acta Scientiae Circumstantiae,2019,39(3):722-729.
|
| [24] |
李建茹, 李畅游, 李兴, 等. 乌梁素海浮游植物群落特征及其与环境因子的典范对应分析[J]. 生态环境学报,2013,22(6):1032-1040.
LI J R, LI C Y, LI X, et al. Phytoplankton community structure in Wuliangsuhai Lake and its relationships with environmental factors using Canonical Correspondence Analysis[J]. Ecology and Environmental Sciences,2013,22(6):1032-1040.
|
| [25] |
肖博文, 成文连, 姚荣, 等. 内蒙古乌梁素海N、P的变化趋势研究[J]. 水资源与水工程学报,2015,26(1):43-46.
XIAO B W, CHENG W L, YAO R, et al. Study on variation trend of nitrogen and phosphorus in Wuliangsuhai Lake of Inner Mongolia[J]. Journal of Water Resources and Water Engineering,2015,26(1):43-46.
|
| [26] |
杜雨春子, 青松, 包玉海, 等. 乌梁素海沉水植物群落光谱特征及其受覆盖度的影响分析[J]. 海洋与湖沼,2022,53(1):74-83.
DU Y, QING S, BAO Y H, et al. Spectral features of submerged aquatic vegetation under coverage impact in the Ulansuhai Lake[J]. Oceanologia et Limnologia Sinica,2022,53(1):74-83.
|
| [27] |
SCHULZ M, RINKE K, KÖHLER J. A combined approach of photogrammetrical methods and field studies to determine nutrient retention by submersed macrophytes in running waters[J]. Aquatic Botany,2003,76(1):17-29. doi: 10.1016/S0304-3770(03)00015-9
|
| [28] |
汤仲恩, 种云霄, 吴启堂, 等. 3种沉水植物对5种富营养化藻类生长的化感效应[J]. 华南农业大学学报,2007,28(4):42-46.
TANG Z E, CHONG Y X, WU Q T, et al. Allelopathic effects of three submerged macrophytes on five eutrophic algae[J]. Journal of South China Agricultural University,2007,28(4):42-46.
|
| [29] |
肖溪, 楼莉萍, 李华, 等. 沉水植物化感作用控藻能力评述[J]. 应用生态学报,2009,20(3):705-712.
XIAO X, LOU L P, LI H, et al. Algal control ability of allelopathically active submerged macrophytes: a review[J]. Chinese Journal of Applied Ecology,2009,20(3):705-712.
|
| [30] |
杜雨春子, 青松, 曹萌萌, 等. 乌梁素海沉水植物群落光谱特征及冠层水深影响分析[J]. 湖泊科学,2020,32(4):1100-1115. doi: 10.18307/2020.0418
DU Y, QING S, CAO M M, et al. Spectral features of submerged aquatic vegetation and water depths impact in Lake Ulansuhai[J]. Journal of Lake Sciences,2020,32(4):1100-1115. doi: 10.18307/2020.0418
|
| [31] |
GAO Y N, GE F J, ZHANG L P, et al. Enhanced toxicity to the cyanobacterium Microcystis aeruginosa by low-dosage repeated exposure to the allelochemical N-phenyl-1-naphthylamine[J]. Chemosphere,2017,174:732-738. doi: 10.1016/j.chemosphere.2017.01.102
|
| [32] |
van DONK E, van de BUND W J. Impact of submerged macrophytes including charophytes on phyto- and zooplankton communities: allelopathy versus other mechanisms[J]. Aquatic Botany,2002,72(3/4):261-274.
|
| [33] |
郭雅倩, 薛建辉, 吴永波, 等. 沉水植物对富营养化水体的净化作用及修复技术研究进展[J]. 植物资源与环境学报,2020,29(3):58-68.
GUO Y Q, XUE J H, WU Y B, et al. Research progress on purification effects and restoration technologies of submerged macrophytes on eutrophic water[J]. Journal of Plant Resources and Environment,2020,29(3):58-68. ◇
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