青藏高原主要河流中多环芳烃空间分布数据集（2020-2021）

本数据集包括雅鲁藏布江和横断山区主要河流中多环芳烃（PAHs）的浓度和分布数据。样品采集于2020年和2021年，采样范围包括雅鲁藏布江、怒江、澜沧江和金沙江四条大河，共81个采样点。水样经固相萃取-净化-浓缩等前处理步骤制备后，由气相色谱-质谱联用仪进行测定。目标化合物包括除萘（NAP）以外的15种EPA优先控制的PAHs，具体为苊烯（Acel）、苊（Ace）、芴（Flu）、菲（Phe）、蒽（Ant）、荧蒽（Fla）、芘（Pyr）、苯并（a）蒽（BaA）、䓛（Chr）、 苯并（b）荧蒽（Bbf）、苯并 （k）荧蒽（Bkf）、苯并（a）芘（BaP）、茚苯（1,2,3-cd）芘（IcdP）、二苯并（a,h）蒽（DahA）和苯并（ghi）苝（BghiP）。样品前处理过程中，均加入同位素标记的回收率标志物，经计算样品回收率在76%-107%之间，方法检出限为5.0-193.9pg/L。河流水质检测参数采用YSI ProPlus便携式多参数水质仪现场测定获得，包括温度、溶解氧、pH、电导率和盐度，参数精度分别为0.1℃、0.01mg/L、0.01、0.1μS/cm和0.01ppt。该数据集可为青藏高原大尺度范围的有机污染空间分布制图和亚洲水塔水质安全评估提供科学依据。

This dataset contains concentration and distribution data of polycyclic aromatic hydrocarbons (PAHs) in major rivers of the Yarlung Tsangpo River and the Hengduan Mountains region. Samples were collected in 2020 and 2021, covering four major rivers: the Yarlung Tsangpo River, Nujiang River, Lancang River, and Jinsha River, with a total of 81 sampling sites. Water samples were prepared via pre-treatment steps including solid-phase extraction, purification and concentration, then analyzed by gas chromatography-mass spectrometry (GC-MS). The target compounds include 15 EPA priority-controlled PAHs excluding naphthalene (NAP), specifically: acenaphthylene (Acel), acenaphthene (Ace), fluorene (Flu), phenanthrene (Phe), anthracene (Ant), fluoranthene (Fla), pyrene (Pyr), benzo(a)anthracene (BaA), chrysene (Chr), benzo(b)fluoranthene (Bbf), benzo(k)fluoranthene (Bkf), benzo(a)pyrene (BaP), indeno(1,2,3-cd)pyrene (IcdP), dibenzo(a,h)anthracene (DahA), and benzo(ghi)perylene (BghiP). Isotope-labeled recovery surrogates were added during the sample pre-treatment process. The calculated sample recoveries ranged from 76% to 107%, with method detection limits (MDLs) of 5.0–193.9 pg/L. In-situ measurements of river water quality parameters were conducted using a YSI ProPlus portable multi-parameter water quality meter, including temperature, dissolved oxygen, pH, electrical conductivity and salinity, with respective precisions of 0.1℃ for temperature, 0.01 mg/L for dissolved oxygen, 0.01 for pH, 0.1 μS/cm for electrical conductivity, and 0.01 ppt for salinity. This dataset can provide scientific basis for spatial distribution mapping of organic pollution at large scale on the Qinghai-Tibet Plateau and water quality safety assessment of the Asian Water Tower.

搜集汇总

背景与挑战

背景概述

该数据集提供了2020-2021年青藏高原雅鲁藏布江、怒江、澜沧江和金沙江四条主要河流中多环芳烃（PAHs）的空间分布数据，包含81个采样点的浓度和分布信息，以及相关水质参数。数据经过严格的前处理和测定，可用于有机污染空间分布制图和水质安全评估。