Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China; College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China.
Key Laboratory of Marine Chemistry Theory and Technology (Ocean University of China), Ministry of Education, Qingdao 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China.
Mar Pollut Bull. 2019 Aug;145:480-489. doi: 10.1016/j.marpolbul.2019.06.046. Epub 2019 Jun 25.
Marine monitoring in Bohai Sea is delivered within three networks by lacking appropriate sampling and assessment methodologies. Water-quality response grid (WRG)-based sampling design using optimization and multi-factors assessment can reliably detect a variety of environmental impacts. Which includes 5 steps: selects environmental reference factors, divides the sampling grid, sets the initial stations, optimizes the sampling stations, and assesses the proposed network's reproducibility and efficiency. We applied this method to the Bohai Sea, the networks proposed here have 225 stations for optimized special surveys (OSS) and 181 stations for optimized operational monitoring (OOM), accounting for 46.5% and 37.4% of the original station totals, respectively. Besides, the reproducibility and efficiency index (REI) of OSS and OOM stations approximately 15.4% and 13.3% higher than three current monitoring networks on average among multi-factors in 4 seasons. Thus, the method can improve the reproducibility, efficiency and land-sea spatial matching of monitoring network.
渤海海洋监测在缺乏适当采样和评估方法的情况下通过三个网络进行。基于水质响应网格 (WRG) 的采样设计，利用优化和多因素评估，可以可靠地检测各种环境影响。该方法包括以下 5 个步骤：选择环境参考因素、划分采样网格、设置初始站点、优化采样站点以及评估建议网络的重现性和效率。我们将该方法应用于渤海，提出的网络在优化特殊调查（OSS）中设有 225 个站点，在优化运营监测（OOM）中设有 181 个站点，分别占原始站点总数的 46.5%和 37.4%。此外，在四个季节的多因素中，OSS 和 OOM 站点的重现性和效率指数 (REI) 平均比三个现有监测网络高出约 15.4%和 13.3%。因此，该方法可以提高监测网络的重现性、效率和陆海空间匹配性。
