2016-2020年安徽省全椒养殖塘碳水通量数据集

A dataset of carbon and water flux observed in aquaculture ponds in Quanjiao,Anhui Province from 2016 to 2020

养殖塘是受人为活动干扰的内陆小型水体,是大气的碳源,也是区域水分蒸发的重要贡献源。准确观测其碳水通量是准确量化内陆水体碳排放以及蒸发贡献的重要基础。南京信息工程大学在安徽省全椒县官渡村一处淡水养殖基地建立了进行小型水体碳水通量综合观测的大气环境试验基地。本数据集包含了在该站点观测的2016–2020年的CO_(2)通量数据(多通道密闭式动态箱观测)、CH_(4)通量数据(涡度相关法观测、多通道密闭式动态箱观测、倒置漏斗法观测)和潜热、显热通量数据(涡度相关法观测),也包含了气温、水温、辐射等关键环境要素数据。所有数据都进行了规范的数据处理及质量控制。本数据集可为区域及全球内陆小型水体碳排放及蒸发贡献的准确估算提供重要的数据支撑。

Aquaculture ponds are inland small water bodies subject to human activities.They are not only carbon sources,but important sources of regional water evaporation.Accurate observation of carbon and water fluxes in aquaculture ponds is the basis for quantifying carbon emission and evaporation contribution of inland water.Nanjing University of Information Science and Technology set up an atmospheric environment experiment site to observe the carbon and water flux over aquaculture water bodies in Guandu Village of Quanjiao County,Anhui Province.This dataset includes the CO_(2) flux data(measured by the multi-channel closed dynamic floating chamber method),CH_(4) flux data(measured by the eddy covariance method,multi-channel closed dynamic floating chamber method,and inverted funnel method),latent heat and sensible heat fluxes data(measured by the eddy covariance method),as well as key environmental factors data,such as air temperature,water temperature,and radiation.All data were processed by standardized procedures.Moreover,data quality controls were performed.This dataset can provide important data for accurately estimating carbon emission and evaporation contribution in regional and global inland small water bodies.