2014年大亚湾沉积物调查

数据集主要包括大亚湾12个CERN联网观测站沉积物化学参数的季度月长期观测资料。数据的观测按照海湾生态系统沉积物化学参数观测方法进行,主要观测指标包括底质、粒度、含水率、总氮、总磷等。本数据集对于了解全球气候变化和人类活动共同影响下的大亚湾生态系统沉积物化学参数的分布和长期变化具有重要意义。

This dataset comprises long-term quarterly and monthly observation records of sediment chemical parameters from 12 CERN-linked observation stations in Daya Bay. The observational work was conducted per the standardized protocols for measuring sediment chemical parameters in bay ecosystems, with key monitored parameters including sediment substrate, grain size, moisture content, total nitrogen, total phosphorus, and other relevant indicators. This dataset is of critical importance for understanding the spatial distribution and long-term temporal changes of sediment chemical parameters in the Daya Bay ecosystem under the combined effects of global climate change and anthropogenic activities.