Coastal Water Quality Assessment by【通用3篇】
Coastal Water Quality Assessment by 篇一
In recent years, coastal water quality has become a growing concern due to the increasing pollution and degradation of marine ecosystems. As coastal areas are important habitats for a wide range of marine species and provide valuable resources for human populations, it is crucial to assess and monitor the quality of coastal waters. This article aims to provide an overview of the methods and indicators used in coastal water quality assessment.
One of the primary methods used in coastal water quality assessment is the measurement of physical and chemical parameters. These parameters include temperature, salinity, dissolved oxygen, pH, turbidity, and nutrient concentrations. By monitoring these parameters, scientists can determine the overall health of coastal waters and identify areas of concern. For example, high nutrient concentrations, such as nitrogen and phosphorus, can lead to excessive algal growth, causing eutrophication and oxygen depletion. Monitoring these parameters allows for early detection and intervention to prevent further degradation of coastal waters.
Biological indicators are also commonly used in coastal water quality assessment. These indicators include the presence and abundance of various species, as well as the diversity and composition of marine communities. Changes in these indicators can provide valuable insights into the health of coastal ecosystems. For example, a decrease in the abundance of certain species may indicate pollution or habitat degradation. By monitoring these biological indicators, scientists can identify the causes of decline and implement appropriate conservation measures.
Furthermore, the assessment of pollutants is crucial in coastal water quality assessment. Pollutants can come from various sources, including industrial discharge, agricultural runoff, and urban sewage. Common pollutants found in coastal waters include heavy metals, pesticides, oil spills, and microplastics. These pollutants can have detrimental effects on marine life and human health. Thus, their presence and concentration in coastal waters must be regularly monitored to ensure the safety and sustainability of coastal ecosystems.
In addition to these methods, remote sensing and modeling techniques are also used in coastal water quality assessment. Remote sensing allows for the monitoring of coastal waters on a large scale, providing valuable information on water quality parameters, such as chlorophyll-a concentration and water clarity. Modeling techniques, on the other hand, can simulate and predict the behavior and impact of pollutants in coastal waters. These techniques help scientists and policymakers make informed decisions regarding coastal management and conservation.
In conclusion, coastal water quality assessment is essential for the protection and preservation of coastal ecosystems. Through the measurement of physical and chemical parameters, monitoring of biological indicators, assessment of pollutants, and the use of remote sensing and modeling techniques, scientists can gain a comprehensive understanding of the health and quality of coastal waters. This information is crucial for the implementation of effective conservation measures and the sustainable management of coastal areas.
Coastal Water Quality Assessment by 篇三
Coastal Water Quality Assessment by Self-Organizing Map
Abstract: A new approach to coastal water quality assessment was put forward through study on self-organizing map (SOM). Firstly, the water quality data of Bohai Bay from 1999 to 2002 were prepared. Then, a set of software for coastal water quality assessment was developed based on the batch version algorithm of SOM and SOM toolbox in MATLAB environment. Furthermore, the training results of SOM could be analyzed with single water quality indexes, the value of N: P( atomic ratio) and the eutrophication index E so that the data were clustered into five different pollution types using k-means clustering method. Finally, it was realized that the monitoring data serial trajectory could be tracked and the new data be classified and assessed automatically. Through application it is found that this study helps to analyze and assess the coastal water quality by several kinds of graphics, which offers an easy decision support for recognizing pollution status and taking corresponding measures. 作 者: NIU Zhiguang ZHANG Hongwei ZHANG Ying 作者单位: NIU Zhiguang,ZHANG Hongwei(School of Environment Science and Engineering, Tianjin University, Tianjin 300072, China)ZHANG Ying(College of Environment Science and Engineering, Nankai University, Tianjin 300071, China)
期 刊:天津大学学报(英文版) EI Journal: TRANSACTIONS OF TIANJIN UNIVERSITY 年,卷(期): 2005,11(6) 分类号: X8 Keywords: self-organizing map ( SOM ) coastal marine water quality assessment pollution types