Literature DB >> 27023820

Water age prediction and its potential impacts on water quality using a hydrodynamic model for Poyang Lake, China.

Hengda Qi1, Jianzhong Lu2,3, Xiaoling Chen1,4, Sabine Sauvage5,6, José-Miguel Sanchez-Pérez5,6.   

Abstract

The water quality in Poyang Lake, the largest freshwater lake in China, has deteriorated steadily in recent years and local governments have made efforts to manage the potential eutrophication. In order to investigate the transport and retention processes of dissolved substances, the hydrodynamic model, Environmental Fluid Dynamics Code (EFDC) was applied by using the concept of water age. The simulated results showed agreement with the measured water level, discharge, and inundation area. The water age in Poyang Lake was significantly influenced by the variations of hydrological conditions. The annual analysis revealed that the largest averaged water age was observed during the wet year (2010) with 28.4 days at Hukou, the junction of the Yangtze River and Poyang Lake. In the normal season (April), the youngest age with 9.1 days was found. The spatial distribution of water quality derived from the remote sensing images suggested that a higher chlorophyll-a concentration, lower turbidity, and smaller water age in the eastern area of Poyang Lake might threaten the regional aquatic health. The particle tracking simulation reproduced the trajectories of the dissolved substances, indicating that the water mass with greater nutrient loading would further lead to potential environmental problems in the east lake. Moreover, the water transfer ability would be weakened due to dam (Poyang Project) construction resulting in the rising water levels in periods of regulation. Generally, this study quantified an indicative transport timescale, which could help to better understand the complex hydrodynamic processes and manage wetland ecosystems similar to Poyang Lake.

Entities:  

Keywords:  Numerical simulation; Particle tracking; Poyang Lake; Remote sensing; Water age; Water quality

Mesh:

Year:  2016        PMID: 27023820     DOI: 10.1007/s11356-016-6516-5

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


  6 in total

1.  Modeling the ecological impact of heavy metals on aquatic ecosystems: a framework for the development of an ecological model.

Authors:  M He; Z Wang; H Tang
Journal:  Sci Total Environ       Date:  2001-02-05       Impact factor: 7.963

2.  Concurrent monitoring of vessels and water turbidity enhances the strength of evidence in remotely sensed dredging impact assessment.

Authors:  Guofeng Wu; Jan de Leeuw; Andrew K Skidmore; Herbert H T Prins; Yaolin Liu
Journal:  Water Res       Date:  2007-05-17       Impact factor: 11.236

3.  The influence of wind on the water age in the tidal Rappahannock River.

Authors:  Wenping Gong; Jian Shen; Bo Hong
Journal:  Mar Environ Res       Date:  2009-06-07       Impact factor: 3.130

4.  Assimilation of remote sensing observations into a sediment transport model of China's largest freshwater lake: spatial and temporal effects.

Authors:  Peng Zhang; Xiaoling Chen; Jianzhong Lu; Wei Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-23       Impact factor: 4.223

5.  Changes in water and sediment exchange between the Changjiang River and Poyang Lake under natural and anthropogenic conditions, China.

Authors:  Jian Hua Gao; Jianjun Jia; Albert J Kettner; Fei Xing; Ya Ping Wang; Xia Nan Xu; Yang Yang; Xin Qing Zou; Shu Gao; Shuhua Qi; Fuqiang Liao
Journal:  Sci Total Environ       Date:  2014-03-12       Impact factor: 7.963

6.  Environmental and ecological impacts of water supplement schemes in a heavily polluted estuary.

Authors:  Qiong Su; Huapeng Qin; Guangtao Fu
Journal:  Sci Total Environ       Date:  2013-12-10       Impact factor: 7.963

  6 in total
  3 in total

1.  Evaluation of trophic status and its limiting factors in the Renuka Lake of Lesser Himalaya, India.

Authors:  Pawan Kumar; Ambrish Kumar Mahajan; Narendra Kumar Meena
Journal:  Environ Monit Assess       Date:  2019-01-26       Impact factor: 2.513

2.  A Coupled Modeling Approach for Water Management in a River-Reservoir System.

Authors:  Zhenyu Zhang; Jinliang Huang; Min Zhou; Yaling Huang; Yimin Lu
Journal:  Int J Environ Res Public Health       Date:  2019-08-16       Impact factor: 3.390

3.  A novel approach for accurate quantification of lake residence time - Lake Kinneret as a case study.

Authors:  Yael Gilboa; Eran Friedler; Firas Talhami; Gideon Gal
Journal:  Water Res X       Date:  2022-07-14
  3 in total

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