Literature DB >> 28994019

Tempo-spatial dynamics of water quality and its response to river flow in estuary of Taihu Lake based on GOCI imagery.

Chenggong Du1,2, Yunmei Li3,4, Qiao Wang5, Ge Liu1,2, Zhubin Zheng1,2, Meng Mu1,2, Yuan Li6.   

Abstract

Knowledge of tempo-spatial dynamics of water quality and its response to river flow is important for the management of lake water quality because river discharge associated with rainstorms can be an important source of pollutants to the estuary. Total phosphorus (TP), chlorophyll a (Chl-a), and total suspended matter (TSM) are important indexes of water quality and important factors influencing eutrophication and algal blooms. In this study, remote sensing was used to monitor these indexes to investigate the effects of river discharge on the estuary of Taihu Lake by the largest inflow river which is Chendong River using a total of 136 Geostationary Ocean Color Images (GOCI). In situ datasets collected during the four cruise experiments on Taihu Lake between 2011 and 2015 were used to develop the TP, Chl-a, and TSM inversion models based on simple empirical algorithms: 154 points for TP (mg/L), 114 for Chl-a (μg/L), and 181 for TSM (mg/L). The spatial and temporal changes of the concentration of the three parameters in the Chendong River estuary were analyzed by combining the GOCI data, the flow of the Chendong River, and meteorological data throughout the year in 2014. The several key findings are as follows: (1) In summer and autumn, TP, Chl-a, and TSM contents were significantly higher than in winter and spring. TP and Chl-a have a few similar distribution characteristics. And organic suspended matter in summer was the main reason for the increase of the TSM concentration. (2) The severe surface erosion in the rivers cannot be ignored; the high erodibility is an important factor in the increase of TP and TSM concentrations in the estuary. The concentration of the water quality parameter showed exponential decay with distance from the shore. The concentration decreased slowly after 12 km and then remained essentially constant. (3) TP content in the Chendong River estuary decreased under steady flow inputs and dramatically increased when the flow became large. The increase in Chl-a content was linked to higher levels of TP and good weather conditions after the rain event. Higher flow rates mainly play a dilution role for the Chl-a concentration. Erosion of the surface soil via rainfall is a major source of TSM to the estuary. This paper firstly analyzes tempo-spatial dynamics of water quality and its response to river flow in estuary of Taihu Lake, helps to further understand the impact of river input on lake water quality, and is important for lake eutrophication.

Entities:  

Keywords:  Estuary; Impact; Inflow rivers; Remote sensing; Water quality

Mesh:

Substances:

Year:  2017        PMID: 28994019     DOI: 10.1007/s11356-017-0305-7

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  9 in total

1.  [Analysis of meteorological factors of forming feculent and anaerobic water aggregation induced by algal bloom in Taihu Lake].

Authors:  Cheng-Lin Wang; Yong Zhang; Ning-Hong Zhang; Xin Qian; Fan-Xiang Kong
Journal:  Huan Jing Ke Xue       Date:  2011-02

Review 2.  Eutrophication of lake waters in China: cost, causes, and control.

Authors:  C Le; Y Zha; Y Li; D Sun; H Lu; B Yin
Journal:  Environ Manage       Date:  2010-02-23       Impact factor: 3.266

3.  Determining critical nutrient thresholds needed to control harmful cyanobacterial blooms in eutrophic Lake Taihu, China.

Authors:  H Xu; H W Paerl; B Qin; G Zhu; N S Hall; Y Wu
Journal:  Environ Sci Technol       Date:  2015-01-20       Impact factor: 9.028

4.  Estimating phycocyanin pigment concentration in productive inland waters using Landsat measurements: a case study in Lake Dianchi.

Authors:  Deyong Sun; Chuanmin Hu; Zhongfeng Qiu; Kun Shi
Journal:  Opt Express       Date:  2015-02-09       Impact factor: 3.894

5.  Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships.

Authors:  M J Bowes; H P Jarvie; S J Halliday; R A Skeffington; A J Wade; M Loewenthal; E Gozzard; J R Newman; E J Palmer-Felgate
Journal:  Sci Total Environ       Date:  2015-01-14       Impact factor: 7.963

6.  Controlling harmful cyanobacterial blooms in a hyper-eutrophic lake (Lake Taihu, China): the need for a dual nutrient (N & P) management strategy.

Authors:  Hans W Paerl; Hai Xu; Mark J McCarthy; Guangwei Zhu; Boqiang Qin; Yiping Li; Wayne S Gardner
Journal:  Water Res       Date:  2010-09-29       Impact factor: 11.236

7.  Using hysteresis analysis of high-resolution water quality monitoring data, including uncertainty, to infer controls on nutrient and sediment transfer in catchments.

Authors:  C E M Lloyd; J E Freer; P J Johnes; A L Collins
Journal:  Sci Total Environ       Date:  2015-11-18       Impact factor: 7.963

8.  [Inversion Model and Daily Variation of Total Phosphorus Concentrations in Taihu Lake Based on GOCI Data].

Authors:  Cheng-gong Du; Yun-mei Li; Qiao Wang; Li Zhu; Heng Lü
Journal:  Huan Jing Ke Xue       Date:  2016-03-15

9.  Lake topography and wind waves determining seasonal-spatial dynamics of total suspended matter in turbid Lake Taihu, China: assessment using long-term high-resolution MERIS data.

Authors:  Yunlin Zhang; Kun Shi; Xiaohan Liu; Yongqiang Zhou; Boqiang Qin
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

  9 in total
  2 in total

1.  Effects of industry structures on water quality in different urbanized regions using an improved entropy-weighted matter-elementmethodology.

Authors:  Siyuan Wang; Youpeng Xu; Danqing Wang; Bin Gao; Miao Lu; Qiang Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-29       Impact factor: 5.190

2.  Diversity and abundance of antibiotic resistance genes and their relationship with nutrients and land use of the inflow rivers of Taihu Lake.

Authors:  Prilli Arista Fernanda; Shuang Liu; Tianma Yuan; Bharathi Ramalingam; Jing Lu; Raju Sekar
Journal:  Front Microbiol       Date:  2022-10-04       Impact factor: 6.064

  2 in total

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