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

ZENG Yi-chuan; WANG Hua; QU Hao; HE Xin-chen; YAN Huai-yu; SHEN Yu-han

doi:10.13205/j.hjgc.202009004

Volume 38 Issue 9

Nov. 2020

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ZENG Yi-chuan, WANG Hua, QU Hao, HE Xin-chen, YAN Huai-yu, SHEN Yu-han. SPATIO-TEMPERAL DISTRIBUTION CHARACTERISTICS AND CORRELATION ANALYSIS OF CHLOROPHYLL-A IN RIVER NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(9): 23-30,153. doi: 10.13205/j.hjgc.202009004

Citation:

ZENG Yi-chuan, WANG Hua, QU Hao, HE Xin-chen, YAN Huai-yu, SHEN Yu-han. SPATIO-TEMPERAL DISTRIBUTION CHARACTERISTICS AND CORRELATION ANALYSIS OF CHLOROPHYLL-A IN RIVER NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(9): 23-30,153. doi: 10.13205/j.hjgc.202009004

Citation:

ZENG Yi-chuan, WANG Hua, QU Hao, HE Xin-chen, YAN Huai-yu, SHEN Yu-han. SPATIO-TEMPERAL DISTRIBUTION CHARACTERISTICS AND CORRELATION ANALYSIS OF CHLOROPHYLL-A IN RIVER NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(9): 23-30,153. doi: 10.13205/j.hjgc.202009004

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

doi: 10.13205/j.hjgc.202009004

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

Received Date: 2019-07-29

Abstract

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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