RSC：拉萨河流域野外科学考察（第二次）监测数据（2024年7月）

2024年7月，拉萨河下游流域天空地一体化监测关键技术研究项目组在拉鲁湿地开展了第四次野外科学考察，获得了土壤、水质等关键数据，为拉鲁湿地生态系统评估和保护提供了重要数据支撑。本数据集由中国科学院青藏高原研究所青藏高原地球系统与资源环境重点实验室区域可持续发展与重大工程支撑中心（RSC）发布，主要包括拉鲁湿地的水质状况调查记录表，土壤状况调查记录表以及常见植物光谱数据。其中水质状况调查记录表包含36个样本点，每个样本点有经纬度坐标，以及TOC、COD、UV254、TDS、电导率和温度等六个指标，指标的观测值由多参数光谱水质检测器现场取水测得。土壤状况调查记录表包含65个样本点，同样记录了每个样本点的经纬度坐标，以及土壤酸碱度、土壤湿度、土壤电导率和土壤温度等四个指标，观测值由LY601土壤pH酸碱度湿度测定仪和LY606土壤EC肥力速测仪测得。最后该文件还包含12 种植被的 44 组光谱数据，如水竹 、菖蒲 、沙棘 、芦苇 、草木犀 、垂柳 等。

In July 2024, the research team for key technologies of sky-ground integrated monitoring in the lower reaches of the Lhasa River conducted the fourth field scientific expedition in the Lalu Wetland, collecting key data including soil and water quality measurements, which provided critical data support for the ecosystem assessment and conservation of the Lalu Wetland. This dataset is released by the Regional Sustainable Development and Major Engineering Support Center (RSC), Key Laboratory of Tibetan Plateau Earth System and Resources Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences. It mainly consists of three parts: the water quality survey record sheet, the soil condition survey record sheet, and spectral data of common plant species in the Lalu Wetland. The water quality survey record sheet contains 36 sampling points. Each point is annotated with its longitude and latitude coordinates, alongside six indicators: TOC, COD, UV254, TDS, electrical conductivity, and temperature. The observed values of these indicators were obtained through on-site water sampling and measurement using a multi-parameter spectral water quality detector. The soil condition survey record sheet covers 65 sampling points. Each sampling point also records its longitude and latitude coordinates, along with four indicators: soil pH, soil moisture, soil electrical conductivity, and soil temperature. The observed values were measured using the LY601 soil pH and moisture tester and the LY606 soil EC fertility rapid tester. Additionally, this dataset includes 44 sets of spectral data for 12 plant species, such as water bamboo, calamus, sea buckthorn, reed, sweet clover, weeping willow, and other common wetland vegetation.

搜集汇总

背景与挑战

背景概述

该数据集包含2024年7月拉萨河下游流域拉鲁湿地的水质、土壤和植被光谱数据，涵盖36个水质样本点和65个土壤样本点，以及12种植被的44组光谱数据，为湿地生态系统评估和保护提供重要数据支撑。