2014-2019年高寒区7个站点水文数据集（河流水位、水质、流量）站点数据

在高寒网各野外站和泛第三极地区境外台站的长期观测数据基础上，建立泛第三极地区气象、水文及生态要素系列数据集；通过重点区域的强化观测与样地和样点验证，完成气象要素、湖泊水量与水质、地上植被生物量、冰川冻土变化等数据产品的反演；基于物联网技术，研制建立多站联网的气象、水文、生态数据管理平台，实现联网数据实时获取与远程控制及共享。 中国高寒地区地表过程与环境观测网络水文数据集，2019年主要收集：祁连山站、藏东南站、珠峰站、玉龙雪山站、纳木错站、阿里站等站 点逐日实测水文（径流、水位、水温等）数据。

Based on long-term in-situ observation data from various field stations of China's High-cold Observation Network and overseas stations in the Pan-Third Pole Region, a time-series dataset suite of meteorological, hydrological and ecological variables for the Pan-Third Pole Region was established. Through intensive observations in key regions and validation via field plots and sampling points, retrieval of data products including meteorological elements, lake water quantity and quality, above-ground vegetation biomass, glacier and permafrost changes was completed. Leveraging Internet of Things (IoT) technology, a multi-station interconnected data management platform for meteorological, hydrological and ecological data was developed, enabling real-time acquisition, remote control and sharing of interconnected data. The hydrological dataset of China's Observation Network for Surface Processes and Environment in High-cold Regions mainly collected daily in-situ hydrological data (including runoff, water level, water temperature, etc.) from stations such as Qilian Mountain Station, Southeast Tibet Station, Mount Qomolangma Station, Yulong Snow Mountain Station, Nam Co Station and Ali Station in 2019.

搜集汇总

背景与挑战

背景概述

该数据集涵盖了2014年至2019年中国高寒地区7个站点（包括祁连山站、藏东南站、珠峰站等）的逐日水文观测数据，主要包含河流水位、水质和流量等关键指标。数据以XLSX格式存储，共9个文件，总容量为1.07 MB，属于站点观测类型，旨在支持高寒区地表过程与环境研究。