环境监测是评估环境质量和实现环境保护和管理措施的基础。然而，沿海环境监测工作面临许多问题和挑战，包括监测信息不能与评价挂钩，监测数据不能很好地反映当前的环境状况，监测活动受成本限制等影响。在本文中，选择中国东南部的泉州湾作为案例研究，采用Kriging方法和地理信息系统来评估和优化半封闭海湾的监测网络。本研究使用来自15个地点（包括COD，DIN和PO4-P）的沿海环境监测数据，通过应用营养状态指数来充分分析2009年至2012年的水质。对泉州湾的监测网络进行了评价优化，监测精度提高了32.9％。结果表明，提出的先进监测网络优化适用于环境技术支持沿海管理和类似领域的污染物减少。相关研究成果以题为Optimization of a Coastal Environmental Monitoring Network Based on the Kriging Method: A Case Study of Quanzhou Bay, China，发表在10月出版的BioMed Research International。
Figure 1. The geographical location of Quanzhou Bay.
Figure 2. Diagram of the advanced monitoring network optimization in Quanzhou Bay.
with permit conditions. However, coastal environmental monitoring work faces many problems and challenges, including the factthatmonitoringinformationcannotbelinkedupwithevaluation,monitoringdatacannotwellreflectthecurrentcoastal environmentalcondition,andmonitoringactivitiesarelimitedbycostconstraints.Forthesereasons,protectionandmanagement measurescannotbedevelopedandimplementedwellbypolicymakerswhointendtosolvethisissue.Inthispaper,QuanzhouBay insoutheasternChinawasselectedasacasestudy;andtheKrigingmethodandageographicinformationsystemwereemployedto evaluate and optimize the existing monitoring network in a semi-enclosed bay. This study used coastal environmental monitoring datafrom15sites(includingCOD,DIN,andPO4-P)toadequatelyanalyzethewaterqualityfrom2009to2012byapplyingthe TrophicStateIndex.ThemonitoringnetworkinQuanzhouBaywasevaluatedandoptimized,withthenumberofsitesincreased from15to24,andthemonitoringprecisionimprovedby32.9%.Theresultsdemonstratedthattheproposedadvancedmonitoring network optimization was appropriate for environmental m vide technical supportfor coastalmanagementandpollutantreductioninsimilarareas.
