Upper Midwest Great Lakes Region Citizen Secchi Data 1938 - 2012
收藏Mendeley Data2024-06-25 更新2024-06-27 收录
下载链接:
https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-ntl.300.1
下载链接
链接失效反馈官方服务:
资源简介:
Upper MidwestorGreat Lakes Region Citiizen Secchi Data includes 239,741 citizen Secchi monitoring records (1938 – 2012) from Illinois Volunteer Lake Monitoring Program, Indiana Clean Lakes Program, Iowa Secchi Dip-In Project, Michigan Clean Water Corps, Lakes of Missouri Volunteer Program, Minnesota Citizen Lake Monitoring Program, Ohio Citizen Lake Awareness Program, and Wisconsin Citizen Lake Monitoring Records. Data were obtained from above monitoring groups and merged with the high resolution National Hydrography Dataset (www.nhd.usgs.gov) based on citizen proved latitudeorlongitude coordinates to verify the location of individual lakes and size of lake (hectare). Code used to estimate annual average Secchi depth (m) provided in metadata. These citizen-collected, publically available Secchi depth measurements were collected to answer two questions: (1) what are the long-term trends in lake water quality across a broad geographic region?; (2) how do trends differ as a function of spatial location, size of lake monitored, and when Secchi records were collected. Data collection and analysis were funded by the National Science Foundation (MSB- 1065786, EF-1065818, EF-1065649), NTL-LTER (DEB-0822700), STRIVE grant 2011-W-FS-7 from the Environmental Protection Agency. GLERL contribution number (1703).
美国中西部北部或五大湖区域公民塞氏监测数据集包含239,741条公民塞氏监测记录,时间跨度为1938年至2012年,数据源自伊利诺伊州志愿湖泊监测计划、印第安纳州清洁湖泊计划、艾奥瓦州塞氏盘浸入式监测项目、密歇根州清洁水军团、密苏里州志愿湖泊监测计划、明尼苏达州公民湖泊监测计划、俄亥俄州公民湖泊认知计划以及威斯康星州公民湖泊监测记录。本数据集由上述监测工作组获取后,基于公民提供的经纬度坐标,与高分辨率国家水文数据集(National Hydrography Dataset,www.nhd.usgs.gov)进行匹配融合,以验证单个湖泊的地理位置与湖泊面积(单位:公顷)。元数据中提供了用于估算年平均塞氏深度(单位:米)的代码。上述由公民采集、公开可获取的塞氏深度测量数据,旨在解答两个核心研究问题:(1)这一广阔地理区域内湖泊水质的长期变化趋势如何?(2)水质变化趋势如何随空间位置、监测湖泊面积以及塞氏记录采集时间的不同而产生差异?本数据集的采集与分析工作由美国国家科学基金会(National Science Foundation,资助编号:MSB-1065786、EF-1065818、EF-1065649)、NTL-LTER(资助编号:DEB-0822700)以及美国环境保护署2011年STRIVE专项拨款2011-W-FS-7资助完成。本成果为五大湖环境研究实验室(GLERL)第1703号贡献成果。
创建时间:
2023-06-28



