Article(id=1314923032414609934, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1752940800000, receivedDateStr=2025-07-20, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431681015, onlineDateStr=2026-10-08, pubDate=1773936000000, pubDateStr=2026-03-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431681015, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431681015, creator=13701087609, updateTime=1791431681015, updator=13701087609, issue=Issue{id=1314922986466009203, tenantId=1146029695717560320, journalId=1234093305789726721, year='2026', volume='46', issue='3', pageStart='1185', pageEnd='1776', issueExtLink='null', onlineDate='null', pubDate='1773936000000', pubDateStr='2026-03-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791431670061, creator='13701087609', updateTime=1791431955369, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314924183251935526, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314924183251935527, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1499, endPage=1508, ext={EN=ArticleExt(id=1314923032607547919, articleId=1314923032414609934, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Spring-summer dynamics of chlorophyll-a and its hydrological and water quality drivers at the dam forebay of Huating lake reservoir, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

Using high-frequency continuous monitoring data collected at the dam forebay of Huating Lake from April to June 2022, this study quantified chlorophyll-a (Chl.a) dynamics and examined its phase-dependent responses to hydrological and water-quality drivers during phytoplankton growth and decline stages. Principal component analysis, multivariate correlation analysis, and partial least squares structural equation modeling (PLS-SEM) were integrated to disentangle the relative contributions and interaction pathways of these drivers. Chl.a concentrations ranged from 6.54 to 65.90μg/L (mean: (34.62±12.14)μg/L), exhibiting a pronounced unimodal temporal pattern. The dominant controls on Chl.a differed substantially between growth and decline phases. During the growth phase, Chl.a variability was primarily driven by the combined effects of nutrient availability—especially total phosphorus (TP) and permanganate index (CODMn)—and hydrological processes, including water-level fluctuations and outflow discharge. In contrast, Chl.a dynamics during the decline phase were mainly regulated by pH and total nitrogen (TN), indicating a shift in controlling mechanisms across phytoplankton life stages. PLS-SEM results showed that water-quality factors exerted significant positive direct effects on Chl.a in both phases (standardized path coefficients: 0.729 in the growth phase and 0.941 in the decline phase). Hydrological factors did not directly affect Chl.a but influenced it indirectly through water-quality pathways, producing a negative indirect effect during the growth phase (-0.780) and a positive indirect effect during the decline phase (0.583). Variable-level analysis identified CODMn and TP, together with outflow discharge and water level, as key drivers during the growth phase, whereas pH, TP, TN, CODMn, and water level dominated during the decline phase.

, authors=Jiang DONG1, Zhong-ya FAN2, Lu HUANG2, Dan LI2, Meng-di YANG2, Yi-xuan QIU1, Biao WANG1, Bin DUAN3, Wen-cai WANG2, *, authorsList=Jiang DONG, Zhong-ya FAN, Lu HUANG, Dan LI, Meng-di YANG, Yi-xuan QIU, Biao WANG, Bin DUAN, Wen-cai WANG, authorCompany=null, correspAuthors=Wen-cai WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314923032905343504, articleId=1314923032414609934, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=花亭湖水库坝前春夏季叶绿素a波动规律及驱动因素, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

本研究基于2022年4~6月花亭湖坝前连续监测数据,运用主成分分析(PCA)、多因子相关性分析及偏最小二乘结构方程模型(PLS-SEM),探究chl.a变化规律及其在浮游藻类增长和衰退阶段对水文和水质指标的响应.结果表明:监测期间花亭湖Chl.a浓度范围为6.54~65.90μg/L,平均浓度为(34.62±12.14)μg/L,呈随时间先升后降的倒“V”型变化.Chl.a在增长期与衰退期受不同水质因子主导.多元统计与相关性分析显示,增长期Chl.a主要受营养盐(TP、CODMn等)与水文过程(水文、出库流量等)的共同驱动,而衰退期则主要受pH值及部分营养盐(TN等)影响,表明不同阶段水质和水文因子的驱动作用存在显著差异.基于PLS-SEM的结果表明,水质因子在增长期和衰退期对Chl.a均具有显著正向直接作用,路径系数分别为0.729和0.941.水文因子对Chl.a的直接效应在两个时期均不显著,但可通过水质因子间接作用于Chl.a:增长期表现为负向作用(路径系数-0.780),衰退期则表现为正向作用(路径系数0.583).进一步分析显示,增长期Chl.a主要受水质因子中的CODMn和TP及水文因子中的出库流量和水位影响;衰退期则主要受pH值、TP、TN、CODMn及水位的影响.增长期chl.a浓度升高,主要源于降雨冲刷和水库调度引起的水位变化,促进氮、磷等营养盐及浮游藻类向坝前迁移、扩散和增殖.进入衰退期后,随着氮磷营养盐的消耗以及强降雨导致水位骤升和水体扰动,藻类生长受到限制,chl.a浓度逐渐下降.

, authors=董江1, 范中亚2, 黄露2, 李丹2, 杨梦迪2, 仇逸璇1, 王彪1, 段彬3, 王文才2, *, authorsList=董江, 范中亚, 黄露, 李丹, 杨梦迪, 仇逸璇, 王彪, 段彬, 王文才, authorCompany=null, correspAuthors=王文才, authorNote=

董江(2002-),男,江西抚州人,安徽大学硕士研究生,从事流域水生态环境治理研究..

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* 责任作者,高级工程师,
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董江(2002-),男,江西抚州人,安徽大学硕士研究生,从事流域水生态环境治理研究..

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董江(2002-),男,江西抚州人,安徽大学硕士研究生,从事流域水生态环境治理研究..

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花亭湖水库坝前春夏季叶绿素a波动规律及驱动因素
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董江 1 , 范中亚 2 , 黄露 2 , 李丹 2 , 杨梦迪 2 , 仇逸璇 1 , 王彪 1 , 段彬 3 , 王文才 2, *
中国环境科学 | 环境生态 2026,46(3): 1499-1508
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中国环境科学 |环境生态 2026 , 46 (3) : 1499 -1508
花亭湖水库坝前春夏季叶绿素a波动规律及驱动因素
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董江1 , 范中亚2, 黄露2, 李丹2, 杨梦迪2, 仇逸璇1, 王彪1, 段彬3, 王文才2, *
作者信息
  • 1.安徽大学资源与环境工程学院,安徽 合肥 230039
  • 2.生态环境部华南环境科学研究所,生态环境部水环境模拟与污染控制重点实验室,广东省水与大气污染防治重点实验室,广东 广州 510655
  • 3.安庆市生态环境局,安徽 安庆 246002
通讯作者:
* 责任作者,高级工程师,
作者简介:

董江(2002-),男,江西抚州人,安徽大学硕士研究生,从事流域水生态环境治理研究..

Spring-summer dynamics of chlorophyll-a and its hydrological and water quality drivers at the dam forebay of Huating lake reservoir
Jiang DONG1 , Zhong-ya FAN2, Lu HUANG2, Dan LI2, Meng-di YANG2, Yi-xuan QIU1, Biao WANG1, Bin DUAN3, Wen-cai WANG2, *
Affiliations
  • 1.School of Resources and Environmental Engineering, Anhui University, Hefei 230039, China
  • 2. Key Laboratory of Water and Air Pollution Prevention and Control of Guangdong Province, Key Laboratory of Water Environment Simulation and Pollution Control, Ministry of Ecology and Environment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
  • 3.Anqing Municipal Bureau of Ecology and Environment, Anqing 246002, China
出版时间: 2026-03-20
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本研究基于2022年4~6月花亭湖坝前连续监测数据,运用主成分分析(PCA)、多因子相关性分析及偏最小二乘结构方程模型(PLS-SEM),探究chl.a变化规律及其在浮游藻类增长和衰退阶段对水文和水质指标的响应.结果表明:监测期间花亭湖Chl.a浓度范围为6.54~65.90μg/L,平均浓度为(34.62±12.14)μg/L,呈随时间先升后降的倒“V”型变化.Chl.a在增长期与衰退期受不同水质因子主导.多元统计与相关性分析显示,增长期Chl.a主要受营养盐(TP、CODMn等)与水文过程(水文、出库流量等)的共同驱动,而衰退期则主要受pH值及部分营养盐(TN等)影响,表明不同阶段水质和水文因子的驱动作用存在显著差异.基于PLS-SEM的结果表明,水质因子在增长期和衰退期对Chl.a均具有显著正向直接作用,路径系数分别为0.729和0.941.水文因子对Chl.a的直接效应在两个时期均不显著,但可通过水质因子间接作用于Chl.a:增长期表现为负向作用(路径系数-0.780),衰退期则表现为正向作用(路径系数0.583).进一步分析显示,增长期Chl.a主要受水质因子中的CODMn和TP及水文因子中的出库流量和水位影响;衰退期则主要受pH值、TP、TN、CODMn及水位的影响.增长期chl.a浓度升高,主要源于降雨冲刷和水库调度引起的水位变化,促进氮、磷等营养盐及浮游藻类向坝前迁移、扩散和增殖.进入衰退期后,随着氮磷营养盐的消耗以及强降雨导致水位骤升和水体扰动,藻类生长受到限制,chl.a浓度逐渐下降.

山区水库  /  叶绿素a  /  水文  /  水质  /  浮游藻类

Using high-frequency continuous monitoring data collected at the dam forebay of Huating Lake from April to June 2022, this study quantified chlorophyll-a (Chl.a) dynamics and examined its phase-dependent responses to hydrological and water-quality drivers during phytoplankton growth and decline stages. Principal component analysis, multivariate correlation analysis, and partial least squares structural equation modeling (PLS-SEM) were integrated to disentangle the relative contributions and interaction pathways of these drivers. Chl.a concentrations ranged from 6.54 to 65.90μg/L (mean: (34.62±12.14)μg/L), exhibiting a pronounced unimodal temporal pattern. The dominant controls on Chl.a differed substantially between growth and decline phases. During the growth phase, Chl.a variability was primarily driven by the combined effects of nutrient availability—especially total phosphorus (TP) and permanganate index (CODMn)—and hydrological processes, including water-level fluctuations and outflow discharge. In contrast, Chl.a dynamics during the decline phase were mainly regulated by pH and total nitrogen (TN), indicating a shift in controlling mechanisms across phytoplankton life stages. PLS-SEM results showed that water-quality factors exerted significant positive direct effects on Chl.a in both phases (standardized path coefficients: 0.729 in the growth phase and 0.941 in the decline phase). Hydrological factors did not directly affect Chl.a but influenced it indirectly through water-quality pathways, producing a negative indirect effect during the growth phase (-0.780) and a positive indirect effect during the decline phase (0.583). Variable-level analysis identified CODMn and TP, together with outflow discharge and water level, as key drivers during the growth phase, whereas pH, TP, TN, CODMn, and water level dominated during the decline phase.

reservoir  /  chlorophyll a  /  hydrology  /  water quality  /  phytoplankton
董江, 范中亚, 黄露, 李丹, 杨梦迪, 仇逸璇, 王彪, 段彬, 王文才. 花亭湖水库坝前春夏季叶绿素a波动规律及驱动因素. 中国环境科学, 2026 , 46 (3) : 1499 -1508 .
Jiang DONG, Zhong-ya FAN, Lu HUANG, Dan LI, Meng-di YANG, Yi-xuan QIU, Biao WANG, Bin DUAN, Wen-cai WANG. Spring-summer dynamics of chlorophyll-a and its hydrological and water quality drivers at the dam forebay of Huating lake reservoir[J]. China Environmental Science, 2026 , 46 (3) : 1499 -1508 .
  • 广东省科技计划项目(2023B1212070031)
  • 京津冀环境综合治理国家科技重大专项(2025ZD1202103)
  • 长江生态环境保护修复联合研究二期项目(2022-LHYJ-02-0504-05)
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  • 接收时间:2025-07-20
  • 首发时间:2026-10-08
  • 出版时间:2026-03-20
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  • 收稿日期:2025-07-20
基金
广东省科技计划项目(2023B1212070031)
京津冀环境综合治理国家科技重大专项(2025ZD1202103)
长江生态环境保护修复联合研究二期项目(2022-LHYJ-02-0504-05)
作者信息
    1.安徽大学资源与环境工程学院,安徽 合肥 230039
    2.生态环境部华南环境科学研究所,生态环境部水环境模拟与污染控制重点实验室,广东省水与大气污染防治重点实验室,广东 广州 510655
    3.安庆市生态环境局,安徽 安庆 246002

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* 责任作者,高级工程师,
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2种不同金属材料的力学参数
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genus
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species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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