滨湖河网叶绿素a时空分布特征及相关性分析

曾一川; 王华; 渠昊; 何新辰; 闫怀宇; 沈雨晗

doi:10.13205/j.hjgc.202009004

滨湖河网叶绿素a时空分布特征及相关性分析

doi: 10.13205/j.hjgc.202009004

曾一川^1,2,
王华^1,2, ,,
渠昊^1,2,
何新辰^1,2,
闫怀宇^1,2,
沈雨晗^1,2

1. 河海大学环境学院, 南京 210098;
2. 河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098

基金项目:

国家自然科学基金面上项目（51779075）；中央高校基本科研业务费项目（2016B06814）。

详细信息

作者简介:
曾一川(1998-),男,本科在读,主要研究方向为河湖水污染迁移转换。819984414@qq.com

通讯作者:
王华(1983-),男,教授,博士,主要研究方向为湖泊水环境保护与污染物迁移转换机制。wanghua543543@163.com

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出版历程
- 收稿日期: 2019-07-29

SPATIO-TEMPERAL DISTRIBUTION CHARACTERISTICS AND CORRELATION ANALYSIS OF CHLOROPHYLL-A IN RIVER NETWORK

ZENG Yi-chuan^1,2,
WANG Hua^{1,2
, ,},
QU Hao^1,2,
HE Xin-chen^1,2,
YAN Huai-yu^1,2,
SHEN Yu-han^1,2

1. College of Environment, Hohai University, Nanjing 210098, China;
2. Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China

摘要

摘要: 以中国太湖梅梁湾东部的无锡市滨湖区河网为例，分别在2018年丰水期（8月）和枯水期（11月）以及2019年平水期（3月）对分布在河网各处的41个点位进行监测，并对水样中的叶绿素a（Chl-a）、pH等14个理化指标进行测定。将河网分为4条干流为代表的4个主要水系，采用主成分分析和相关性分析，判断不同的水质因子对Chl-a浓度变化的影响，初步识别每个水系中的主要影响因子；将水质因子分别列入线性逐步回归分析中，得出各水系及整个河网关于Chl-a的线性逐步回归方程，并分析主要因子对该河网中Chl-a含量变化的影响机理。结果显示：滨湖河网Chl-a 3次监测整体平均值为22.617 mg/m³，丰水期、枯水期、平水期3期平均值分别为17.256，48.878，1.717 mg/m³。空间上，Chl-a总体呈现河网北部梁溪河水系最高，东部骂蠡港、东南角曹王泾次之，西部陆典桥浜最低的规律。整个河网与Chl-a显著相关的有高锰酸盐指数、SS、Hg、PO₄^3-。梅梁湾调水对北部河网有藻类补充作用，且输移过程中携带的溶解态或沉积态营养物质如SS、TN等在夏秋季节成为藻类增长的重要来源。骂蠡港与西部陆典桥浜水系主要水源由五里湖提供，其水质受五里湖水质的直接影响；东南部曹王泾水系的2条支流汇入对其水质改善有促进作用。
- 河网 /
- 叶绿素a /
- 主成分分析 /
- 逐步回归分析 /
- 相关性分析
Abstract: Taking the river network in Binhu district as an example, 41 points distributed throughout the river network were monitored in 2018 during the wet season (August) and dry season (November), and 2019 during the normal season (March), and 14 physicochemical indexes such as chlorophyll a (chl-a) and pH were measured. The river network was divided into four main river systems. Principal component analysis and correlation analysis were used to judge the influence of different water quality factors on chl-a concentration change, and the main influencing factors in each water system were preliminarily identified. The water quality factors were included in the linear stepwise regression analysis to obtain the equation of chl-a for each river system and the whole river network. The mechanism of these main factors affecting chl-a content change in the river network was discussed. The results showed that the overall average value of the monitoring in the three phases of chl-a in the river network was 22.617 mg/m³, and the average value in the three phases of abundant season, dry season and smooth season was 17.256, 48.878, 1.717 mg/m³, respectively. Spatially, the overall pattern of chl-a was that the Liangxi River system was the highest in the north of the river network, followed by Ligang in the east and Caowangjing in the southeast, and the lowest in Ludianqiao in the west. The COD_Mn permanganate index, SS, Hg and PO₄^3- were significantly correlated with Chl-a in the whole river network. Meiliang bay water diversion played a supplementary role for algae in the northern river network, and the input dissolved or deposited nutrients, such as TP and TN, were important sources of algae growth in summer and autumn. The main water source of Maligang and Ludianqiaobang River system in the west was provided by Wuli lake, and their water quality was directly affected. The inflow of two tributaries of Caowangjing system in the southeast promoted the improvement of water quality.
- river network /
- chlorophyll-a /
- principal component analysis /
- stepwise regression analysis /
- correlation analysis

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参考文献(34)

ZHU W, WAN L, ZHAO L F. Effect of nutrient level on phytoplankton community structure in different water bodies[J]. Journal of Environmental Sciences, 2010, 22(1):32-39.

WU X D, KONG F X, CHEN Y W, et al. Horizontal distribution and transport processes of bloom-forming Microcystis in a large shallow lake (Taihu, China)[J]. Limnologica, 2009, 40(1):8-15.

REYNOLDS C S. The Ecology of Freshwater Phytoplankton[M]. London:Cambridge University Press, 1984:121-145.

XUE Q J, REDISKE R R, GONG Z J, et al. Spatio-temporal variation of microcystins and its relationship to biotic and abiotic factors in Hongze Lake, China[J]. Journal of Great Lakes Research, 2018,44(2):253-262.

QIU T. Biological species and environment study in microsystins causing apotosis in heart[J]. Advanced Materials Research, 2014, 886:341-344.

JOCHIMSEN E M,CARMICHAEL W W,AN J S, et al. Liver failure and death after exposure to microcystins at a hemodialysis center in Brazil[J]. The New England Journal of Medicine,1998,338(13):873-878.

HOTTO A M, SATCHWELL M F, BERRY D L, et al. Spatial and temporal diversity of microcystins and microcystin-producing genotypes in Oneida Lake, NY[J]. Harmful Algae,2008,7(5):671-681.

李波,濮培民,韩爱民.洪泽湖水质的因子分析[J].中国环境科学,2003,23(1):69-73.

CHEN H, BURKE J M, MOSINDY T, et al. Cyanobacteria and microcystin-LR in a complex lake system representing a range in trophic status:Lake of the Woods, Ontario, Canada[J]. Journal of Plankton Research, 2009, 31(9):993-1008.

CUFFNEY T F, KASHUBA R, QIAN S S, et al. Multilevel regression models describing regional patterns of invertebrate and algal responses to urbanization across the USA[J]. Journal of the North American Benthological Society, 2011, 30(3):797-819.

阮晓红,石晓丹,赵振华,等.苏州平原河网区浅水湖泊叶绿素a与环境因子的相关关系[J].湖泊科学, 2008,20(5):556-562.

MARCIONILIO S M L O, MACHADO K B, CARNEIRO F M, et al. Environmental factors affecting chlorophyll-α concentration in tropical floodplain lakes, Central Brazil[J]. Environmental Monitoring and Assessment, 2016, 188(11):611.

CARNEIRO F M, NABOUT J O C, VIEIRA L C G, et al. Determinants of chlorophyll-a concentration in tropical reservoirs[J]. Hydrobiologia, 2014, 740(1):89-99.

江源,彭秋志,廖剑宇,等.浮游藻类与河流生境关系研究进展与展望[J].资源科学,2013,35(3):461-472.

杨威,邓道贵,张赛,等.洱海叶绿素a浓度的季节动态和空间分布[J].湖泊科学,2012,24(6):858-864.

CARLSON R E. A trophic state index for lakes1[J]. Limnology and Oceanography. 1977, 22(2), 361-369.

PAERL H W, XU H, HALL N S, et al. Nutrient limitation dynamics examined on a multi-annual scale in Lake Taihu, China:implications for controlling eutrophication and harmful algal blooms[J]. Journal of Freshwater Ecology, 2015, 30(1):5-24.

MITROVIC S M, HARDWICK L, DORANI F. Use of flow management to mitigate cyanobacterial blooms in the Lower Darling River, Australia[J]. Journal of Plankton Research,2011,33(2):229-241.

田时弥,杨扬,乔永民,等.珠江流域东江干流浮游植物叶绿素a时空分布及与环境因子的关系[J].湖泊科学,2015,27(1):31-37.

尹延震,储昭升,赵明,等.洱海湖滨带水质的时空变化规律[J].中国环境科学,2011,31(7):1192-1196.

RANTALA A, FEWER D P, HISBERGUES M, et al. Phylogenetic evidence for the early evolution of microcystin synthesis[J]. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101(2):568-573.

WANG Z, ZHANG J Q, LI E H, et al. Combined toxic effects and mechanisms of microsystin-LR and copper on Vallisneria Natans (Lour.) Hara seedlings[J]. Journal of Hazardous Materials, 2016, 328:108-116.

MACKINNEY G. Absorption of light by chlorophyll solutions[J]. Journal of Biological Chemistry, 1941, 140:315-322.

舒展,张晓素,陈娟,等.叶绿素含量测定的简化[J]. 植物生理学通讯,2010,46(4):399-402.

邱念伟,王修顺,杨发斌,等.叶绿素的快速提取与精密测定[J].植物学报,2016,51(5):667-678.

周武先,段媛媛,卢超,等.高效提取3种不同类型植物叶片色素的方法[J].西北农业学报,2019,28(1):97-104.

蔡金傍,李文奇,逄勇,等.水库微囊藻毒素-LR含量与环境因子的相关性研究[J].重庆建筑大学学报,2007,29(5):130-134.

HUANG J, XI B D, XU Q J, et al. Experiment study of the effects of hydrodynamic disturbance on the interaction between the cyanobacterial growth and the nutrients[J]. Journal of Hydrodynamics, 2016, 28(3):411-422.

黄鹏,田腾飞,张文安,等.水动力条件对水体中藻类生长的抑制作用[J].环境工程,2018,36(12):64-69.

TOSHINORI T, KAZUAKI H, MASAYOSHI H. Assessment of the water quality in the ariake sea using principal component analysis[J]. Journal of Water Resource and Protection, 2015, 7(1):41-49.

王震,邹华,杨桂军,等.太湖叶绿素a的时空分布特征及其与环境因子的相关关系[J].湖泊科学,2014,26(4):567-575.

ZHAO Q H, WANG J, WANG J J, et al. Seasonal dependency of controlling factors on the phytoplankton production in Taihu Lake, China[J]. Journal of Environmental Sciences, 2019, 76(2):278-288.

WU T F, QIN B Q, JUSTIN D B, et al. Spatial distribution of sediment nitrogen and phosphorus in Lake Taihu from a hydrodynamics-induced transport perspective[J]. Science of the Total Environment, 2019, 650, 1554-1565.

WANG J L, FU Z S, QIAO H X, et al. Assessment of eutrophication and water quality in the estuarine area of Lake Wuli, Lake Taihu, China[J]. Science of the Total Environment, 2019, 650:1392-1402.

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