Rongcong Pang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Rongcong Pang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Dunqiu Wang
College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541006, China
1 shared publication - Kun Dong
College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541006, China
1 shared publication - Wenjing Li
College of Environmental Science and Engineering, Guilin University of Technology, 319 Yanshan Street, Guilin 541006, China
1 shared publication - Xiangtong Li
Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin University of Technology, Guilin 541006, China
1 shared publication - Yuequn Huang
College of Environmental Science and Engineering, Guilin University of Technology, 319 Yanshan Street, Guilin 541006, China
1 shared publication - Zhanpeng Yang
College of Environmental Science and Engineering, Guilin University of Technology, 319 Yanshan Street, Guilin 541006, China
1 shared publication
Latest Publications
- Open Access
Ecology Health Evaluation System Based on Fish Movement Behavior Response
Using fish as indicator organisms to monitor water quality can accurately reflect the pollution status of aquatic environments in real time. Currently, there are limited quantitative and empirical studies on fish movement behavior. An experimental study on the fish movement behavior response during water quality change was conducted using an aquatic environment model. Advanced acoustic tag monitoring technology was used to qualitatively and quantitatively assess fish movement. Using the temporal and spatial distributions of fish motion behavioral trajectories during water quality change, the fish behavior response indicators were the distance between the fish and the source of pollution, the distance between the fish and the water surface, and fish swimming speed. The fish were sensitive to water quality factors, including dissolved oxygen (DO) content, microcystin aeruginosa toxin (MC-LR), and non-ionic ammonia (NH3). The correlations between indicator pairs were analyzed. A new water ecological health evaluation system based on these indicators was constructed, and aquatic ecological health in the field was evaluated using the new system. The evaluation showed a sub-healthy state in spring and a slightly morbid to morbid state in summer, which was consistent with the results based on water quality indices. The accuracy of the proposed assessment system was verified. This showed that the assessment method and grade division of the assessment system were reasonable and feasible and could reflect the health status of the aquatic ecological environment in real time. This study provides a basis for the assessment of the health and restoration effects of the aquatic ecological environment.
Open AccessEcology Health Evaluation System Based on Fish Movement Behavior Response
Using fish as indicator organisms to monitor water quality can accurately reflect the pollution status of aquatic environments in real time. Currently, there are limited quantitative and empirical studies on fish movement behavior. An experimental study on the fish movement behavior response during water quality change was conducted using an aquatic environment model. Advanced acoustic tag monitoring technology was used to qualitatively and quantitatively assess fish movement. Using the temporal and spatial distributions of fish motion behavioral trajectories during water quality change, the fish behavior response indicators were the distance between the fish and the source of pollution, the distance between the fish and the water surface, and fish swimming speed. The fish were sensitive to water quality factors, including dissolved oxygen (DO) content, microcystin aeruginosa toxin (MC-LR), and non-ionic ammonia (NH3). The correlations between indicator pairs were analyzed. A new water ecological health evaluation system based on these indicators was constructed, and aquatic ecological health in the field was evaluated using the new system. The evaluation showed a sub-healthy state in spring and a slightly morbid to morbid state in summer, which was consistent with the results based on water quality indices. The accuracy of the proposed assessment system was verified. This showed that the assessment method and grade division of the assessment system were reasonable and feasible and could reflect the health status of the aquatic ecological environment in real time. This study provides a basis for the assessment of the health and restoration effects of the aquatic ecological environment.