Joerss, Hanna; Schramm, Thekla-Regine; Sun, Linting; Guo, Chao; Tang, Jianhui; Ebinghaus, Ralf (2021): Per- and polyfluoroalkyl substances (PFASs) in Chinese and German river water samples collected in 2018 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.929645
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Published: 2021-03-24 • DOI registered: 2021-06-23
Abstract:
Legacy and emerging per- and polyfluoroalkyl substances (PFASs) were measured in Chinese and German river water samples affected by industrial point sources. In China, sites located at the Yangtze River, at the Xi River and in the Xiaoqing River Basin were selected. In Germany, the selected sites were situated at the Rhine River, Ruhr River, Main River and Alz River. Samples were collected from up- and downstream of seven suspected point sources in autumn 2018. Solid-phase extraction was used for sample preparation before instrumental analysis was performed by liquid chromatography coupled to a triple quadrupole mass spectrometer (LC-MS/MS). More information can be found in https://doi.org/10.1016/j.envpol.2020.115567. The study aimed at comparing source-specific fingerprints of PFASs in river water from China and Germany, selected as countries with different histories of PFAS production.
Related to:
Joerss, Hanna; Schramm, Thekla-Regine; Sun, Linting; Guo, Chao; Tang, Jianhui; Ebinghaus, Ralf (2020): Per- and polyfluoroalkyl substances in Chinese and German river water – Point source- and country-specific fingerprints including unknown precursors. Environmental Pollution, 267, 115567, https://doi.org/10.1016/j.envpol.2020.115567
Project(s):
Coverage:
Median Latitude: 43.833833 * Median Longitude: 62.614543 * South-bound Latitude: 31.753000 * West-bound Longitude: 6.715330 * North-bound Latitude: 51.469601 * East-bound Longitude: 121.608000
Date/Time Start: 2018-09-10T09:56:00 * Date/Time End: 2018-11-21T16:30:00
Minimum DEPTH, water: 0.3 m * Maximum DEPTH, water: 0.5 m
Event(s):
ChineseRivers_2018_Stat_FX_001_Xi * Latitude: 41.990000 * Longitude: 121.608000 * Date/Time: 2018-11-15T08:21:00 * Campaign: ChineseRivers_2018 * Method/Device: Water sample (WS)
ChineseRivers_2018_Stat_FX_002_S_Xi * Latitude: 41.960000 * Longitude: 121.590000 * Date/Time: 2018-11-15T09:02:00 * Campaign: ChineseRivers_2018 * Method/Device: Water sample (WS)
ChineseRivers_2018_Stat_FX_002_Xi * Latitude: 41.960000 * Longitude: 121.586000 * Date/Time: 2018-11-15T09:11:00 * Campaign: ChineseRivers_2018 * Method/Device: Water sample (WS)
Comment:
Water samples taken by water sampler for campaign RHINE2018 and with a bucket for ChineseRivers_2018.
Date/Time is local time.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Campaign of event | Campaign | Joerss, Hanna | |||
| 2 | Event label | Event | Joerss, Hanna | |||
| 3 | Sample code/label | Sample label | Joerss, Hanna | |||
| 4 | International Generic Sample Number | IGSN | Joerss, Hanna | |||
| 5 | Latitude of event | Latitude | Joerss, Hanna | |||
| 6 | Longitude of event | Longitude | Joerss, Hanna | |||
| 7 | DEPTH, water | Depth water | m | Joerss, Hanna | Geocode | |
| 8 | DATE/TIME | Date/Time | Joerss, Hanna | Geocode | ||
| 9 | Comment | Comment | Joerss, Hanna | Flag: See comments of parameters to find out which limit of detection and limit of quantification applies for this sample | ||
| 10 | pH | pH | Joerss, Hanna | Multi-parameter meter, 3430 WTW | measured in water column | |
| 11 | Temperature, water | Temp | °C | Joerss, Hanna | Multi-parameter meter, 3430 WTW | measured in water column |
| 12 | Salinity | Sal | Joerss, Hanna | Multi-parameter meter, 3430 WTW | measured in water column | |
| 13 | Perfluorobutanoic acid | PFBA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.14, for ChineseRivers1 is 0.39, for ChineseRivers2 is 0.2 and for ChineseRivers3 is 39. Limit of quantification (ng/l) for flag RHINE2018 is 0.33, for ChineseRivers1 is 1.3, for ChineseRivers2 is 0.52 and for ChineseRivers3 is 130 |
| 14 | Perfluoropentanoic acid | PFPeA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.032, for ChineseRivers1 is 0.72, for ChineseRivers2 is 0.25 and for ChineseRivers3 is 45. Limit of quantification (ng/l) for flag RHINE2018 is 0.085, for ChineseRivers1 is 2.4, for ChineseRivers2 is 0.7 and for ChineseRivers3 is 150 |
| 15 | Perfluorohexanoic acid | PFHxA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.083, for ChineseRivers1 is 1, for ChineseRivers2 is 0.19 and for ChineseRivers3 is 93. Limit of quantification (ng/l) for flag RHINE2018 is 0.28, for ChineseRivers1 is 3.5, for ChineseRivers2 is 0.63 and for ChineseRivers3 is 310 |
| 16 | Perfluoroheptanoic acid | PFHpA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.015, for ChineseRivers1 is 0.2, for ChineseRivers2 is 0.043 and for ChineseRivers3 is 31. Limit of quantification (ng/l) for flag RHINE2018 is 0.05, for ChineseRivers1 is 0.67, for ChineseRivers2 is 0.11 and for ChineseRivers3 is 100 |
| 17 | Perfluorooctanoic acid | PFOA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.05, for ChineseRivers1 is 4.7, for ChineseRivers2 is 4.7 and for ChineseRivers3 is 110. Limit of quantification (ng/l) for flag RHINE2018 is 0.17, for ChineseRivers1 is 13, for ChineseRivers2 is 13 and for ChineseRivers3 is 370 |
| 18 | Perfluorononanoic acid | PFNA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.033, for ChineseRivers1 is 0.16, for ChineseRivers2 is 0.13 and for ChineseRivers3 is 16. Limit of quantification (ng/l) for flag RHINE2018 is 0.084, for ChineseRivers1 is 0.53, for ChineseRivers2 is 0.4 and for ChineseRivers3 is 53 |
| 19 | Perfluorodecanoic acid | PFDA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.033, for ChineseRivers1 is 0.18, for ChineseRivers2 is 0.12 and for ChineseRivers3 is 21. Limit of quantification (ng/l) for flag RHINE2018 is 0.087, for ChineseRivers1 is 0.59, for ChineseRivers2 is 0.33 and for ChineseRivers3 is 71 |
| 20 | Perfluoroundecanoic acid | PFUnDA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.023, for ChineseRivers1 is 0.077, for ChineseRivers2 is 0.077 and for ChineseRivers3 is 12. Limit of quantification (ng/l) for flag RHINE2018 is 0.051, for ChineseRivers1 is 0.21, for ChineseRivers2 is 0.21 and for ChineseRivers3 is 41 |
| 21 | Perfluorododecanoic acid | PFDoDA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.029, for ChineseRivers1 is 0.083, for ChineseRivers2 is 0.051 and for ChineseRivers3 is 23. Limit of quantification (ng/l) for flag RHINE2018 is 0.073, for ChineseRivers1 is 0.28, for ChineseRivers2 is 0.12 and for ChineseRivers3 is 76 |
| 22 | Perfluorotridecanoic acid | PFTrDA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.048, for ChineseRivers1 is 0.48, for ChineseRivers2 is 0.1 and for ChineseRivers3 is 48. Limit of quantification (ng/l) for flag RHINE2018 is 0.16, for ChineseRivers1 is 1.6, for ChineseRivers2 is 0.32 and for ChineseRivers3 is 160 |
| 23 | Perfluorotetradecanoic acid | PFTeDA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.0082, for ChineseRivers1 is 0.082, for ChineseRivers2 is 0.016 and for ChineseRivers3 is 8. Limit of quantification (ng/l) for flag RHINE2018 is 0.027, for ChineseRivers1 is 0.27, for ChineseRivers2 is 0.054 and for ChineseRivers3 is 27 |
| 24 | Perfluorobutane sulfonic acid | PFBS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.037, for ChineseRivers1 is 0.75, for ChineseRivers2 is 0.12 and for ChineseRivers3 is 34. Limit of quantification (ng/l) for flag RHINE2018 is 0.12, for ChineseRivers1 is 2.5, for ChineseRivers2 is 0.39 and for ChineseRivers3 is 110 |
| 25 | Perfluorohexane sulfonic acid | PFHxS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.087, for ChineseRivers1 is 0.3, for ChineseRivers2 is 0.048 and for ChineseRivers3 is 30. Limit of quantification (ng/l) for flag RHINE2018 is 0.29, for ChineseRivers1 is 0.99, for ChineseRivers2 is 0.16 and for ChineseRivers3 is 99 |
| 26 | Perfluoroheptane sulfonic acid | PFHpS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.049, for ChineseRivers1 is 0.37, for ChineseRivers2 is 0.06 and for ChineseRivers3 is 37. Limit of quantification (ng/l) for flag RHINE2018 is 0.16, for ChineseRivers1 is 1.2, for ChineseRivers2 is 0.2 and for ChineseRivers3 is 120 |
| 27 | Perfluorooctane sulfonic acid | PFOS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.074, for ChineseRivers1 is 0.15, for ChineseRivers2 is 0.048 and for ChineseRivers3 is 15. Limit of quantification (ng/l) for flag RHINE2018 is 0.25, for ChineseRivers1 is 0.49, for ChineseRivers2 is 0.16 and for ChineseRivers3 is 49 |
| 28 | Perfluorodecane sulfonic acid | PFDS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.032, for ChineseRivers1 is 0.32, for ChineseRivers2 is 0.065 and for ChineseRivers3 is 32. Limit of quantification (ng/l) for flag RHINE2018 is 0.11, for ChineseRivers1 is 1.1, for ChineseRivers2 is 0.22 and for ChineseRivers3 is 110 |
| 29 | Perfluoro-4-ethylcyclohexane sulfonic acid | PFECHS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.029, for ChineseRivers1 is 0.29, for ChineseRivers2 is 0.059 and for ChineseRivers3 is 29. Limit of quantification (ng/l) for flag RHINE2018 is 0.098, for ChineseRivers1 is 0.98, for ChineseRivers2 is 0.2 and for ChineseRivers3 is 98 |
| 30 | 2,3,3,3-tetrafluoro-2-(1,1,2,2,3,3,3,-heptafluoropropoxy)-propanoic acid | HFPO-DA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.01, for ChineseRivers1 is 0.22, for ChineseRivers2 is 0.031 and for ChineseRivers3 is 23. Limit of quantification (ng/l) for flag RHINE2018 is 0.034, for ChineseRivers1 is 0.73, for ChineseRivers2 is 0.1 and for ChineseRivers3 is 78 |
| 31 | 2,2,3-trifluoro-3-[1,1,2,2,3,3-hexafluoro-3-(trifluoromethoxy)propoxy]propanoic acid | DONA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.013, for ChineseRivers1 is 0.093, for ChineseRivers2 is 0.019 and for ChineseRivers3 is 9. Limit of quantification (ng/l) for flag RHINE2018 is 0.035, for ChineseRivers1 is 0.31, for ChineseRivers2 is 0.061 and for ChineseRivers3 is 31 |
| 32 | 9-chlorohexadecafluoro-3-oxanonane-1-sulfonic acid | 9Cl-PF3ONS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.007, for ChineseRivers1 is 0.037, for ChineseRivers2 is 0.014 and for ChineseRivers3 is 4. Limit of quantification (ng/l) for flag RHINE2018 is 0.023, for ChineseRivers1 is 0.12, for ChineseRivers2 is 0.047 and for ChineseRivers3 is 12 |
| 33 | 11-chloroeicosafluoro-3-oxaundecane-1-sulfonic acid | 11Cl-PF3OUdS | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.011, for ChineseRivers1 is 0.075, for ChineseRivers2 is 0.015 and for ChineseRivers3 is 9. Limit of quantification (ng/l) for flag RHINE2018 is 0.033, for ChineseRivers1 is 0.25, for ChineseRivers2 is 0.05 and for ChineseRivers3 is 25 |
| 34 | Bis(perfluorohexyl)phosphinic acid | 6:6PFPiA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.0068, for ChineseRivers1 is 0.068, for ChineseRivers2 is 0.014 and for ChineseRivers3 is 7. Limit of quantification (ng/l) for flag RHINE2018 is 0.023, for ChineseRivers1 is 0.23, for ChineseRivers2 is 0.045 and for ChineseRivers3 is 23 |
| 35 | Perfluorohexylperfluorooctylphosphinic acid | 6:8PFPiA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.013, for ChineseRivers1 is 0.13, for ChineseRivers2 is 0.015 and for ChineseRivers3 is 13. Limit of quantification (ng/l) for flag RHINE2018 is 0.042, for ChineseRivers1 is 0.42, for ChineseRivers2 is 0.084 and for ChineseRivers3 is 42 |
| 36 | 4:2 fluorotelomer sulfonic acid | 4:2FTSA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.03, for ChineseRivers1 is 0.3, for ChineseRivers2 is 0.06 and for ChineseRivers3 is 30. Limit of quantification (ng/l) for flag RHINE2018 is 0.1, for ChineseRivers1 is 1, for ChineseRivers2 is 0.2 and for ChineseRivers3 is 100 |
| 37 | 6:2 fluorotelomer sulfonic acid | 6:2 FTSA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.063, for ChineseRivers1 is 0.53, for ChineseRivers2 is 0.11 and for ChineseRivers3 is 53. Limit of quantification (ng/l) for flag RHINE2018 is 0.21, for ChineseRivers1 is 1.8, for ChineseRivers2 is 0.35 and for ChineseRivers3 is 180 |
| 38 | 8:2 fluorotelomer sulfonic acid | 8:2FTSA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.072, for ChineseRivers1 is 0.72, for ChineseRivers2 is 0.14 and for ChineseRivers3 is 72. Limit of quantification (ng/l) for flag RHINE2018 is 0.24, for ChineseRivers1 is 2.4, for ChineseRivers2 is 0.48 and for ChineseRivers3 is 240 |
| 39 | Perfluorooctane sulfonamide | FOSA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.012, for ChineseRivers1 is 0.07, for ChineseRivers2 is 0.012 and for ChineseRivers3 is 7. Limit of quantification (ng/l) for flag RHINE2018 is 0.017, for ChineseRivers1 is 0.23, for ChineseRivers2 is 0.04 and for ChineseRivers3 is 23 |
| 40 | N-Ethyl perfluorooctane sulfonamidoethanol | EtFOSE | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.01, for ChineseRivers1 is 0.1, for ChineseRivers2 is 0.02 and for ChineseRivers3 is 10. Limit of quantification (ng/l) for flag RHINE2018 is 0.033, for ChineseRivers1 is 0.33, for ChineseRivers2 is 0.066 and for ChineseRivers3 is 33 |
| 41 | N-ethyl perfluorooctane sulfonamido acetic acid | N-EtFOSAA | ng/l | Joerss, Hanna | Solid-phase extraction (SPE) and cleanup, coupled liquid chromatography tandem mass spectrometry (LC-MS/MS) | measured in water column. Limit of detection (ng/l) for flag RHINE2018 is 0.0094, for ChineseRivers1 is 0.094, for ChineseRivers2 is 0.019 and for ChineseRivers3 is 9. Limit of quantification (ng/l) for flag RHINE2018 is 0.031, for ChineseRivers1 is 0.31, for ChineseRivers2 is 0.063 and for ChineseRivers3 is 31 |
Change history:
2024-10-16T11:34:00 – IGSN added
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
1932 data points
Data
| 1 Campaign | 2 Event | 3 Sample label | 4 IGSN | 5 Latitude | 6 Longitude | 7 Depth water [m] | 8 Date/Time | 9 Comment | 10 pH | 11 Temp [°C] | 12 Sal | 13 PFBA [ng/l] | 14 PFPeA [ng/l] | 15 PFHxA [ng/l] | 16 PFHpA [ng/l] | 17 PFOA [ng/l] | 18 PFNA [ng/l] | 19 PFDA [ng/l] | 20 PFUnDA [ng/l] | 21 PFDoDA [ng/l] | 22 PFTrDA [ng/l] | 23 PFTeDA [ng/l] | 24 PFBS [ng/l] | 25 PFHxS [ng/l] | 26 PFHpS [ng/l] | 27 PFOS [ng/l] | 28 PFDS [ng/l] | 29 PFECHS [ng/l] | 30 HFPO-DA [ng/l] | 31 DONA [ng/l] | 32 9Cl-PF3ONS [ng/l] | 33 11Cl-PF3OUdS [ng/l] | 34 6:6PFPiA [ng/l] | 35 6:8PFPiA [ng/l] | 36 4:2FTSA [ng/l] | 37 6:2 FTSA [ng/l] | 38 8:2FTSA [ng/l] | 39 FOSA [ng/l] | 40 EtFOSE [ng/l] | 41 N-EtFOSAA [ng/l] |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RHINE2018 | RHINE2018_Stat_S_001 | s_RHINE2018_Stat_S_001_RU_001 | https://doi.org/10.60510/GFHER65225 | 51.4166 | 7.2097 | 0.4 | 2018-09-10T09:56:00 | RHINE2018 | 6.90 | 5.20 | 7.70 | 3.20 | 5.40 | 0.290 | 0.150 | <0.0230 | <0.029 | <0.048 | <0.0082 | 5.30 | 0.590 | <0.049 | 2.60 | <0.032 | 0.110 | 0.085 | 0.079 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 11.000 | <0.072 | 0.033 | <0.01 | 0.0430 | |||
| RHINE2018 | RHINE2018_Stat_S_002 | s_RHINE2018_Stat_S_002_RU_002 | https://doi.org/10.60510/GFHERE55E5 | 51.4100 | 7.0794 | 0.5 | 2018-09-10T11:45:00 | RHINE2018 | 6.50 | 5.20 | 7.50 | 3.60 | 4.90 | 0.270 | 0.120 | <0.0230 | <0.029 | <0.048 | <0.0082 | 5.20 | 0.630 | <0.049 | 2.30 | <0.032 | 0.120 | 0.063 | <0.035 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | 8.800 | <0.072 | 0.032 | <0.01 | 0.0400 | |||
| RHINE2018 | RHINE2018_Stat_S_003 | s_RHINE2018_Stat_S_003_RU_003 | https://doi.org/10.60510/GFHER736FE | 51.3806 | 6.9024 | 0.4 | 2018-09-10T12:55:00 | RHINE2018 | 6.60 | 5.00 | 7.70 | 3.40 | 5.30 | 0.390 | 0.230 | <0.0230 | <0.029 | <0.048 | <0.0082 | 4.80 | 0.590 | <0.049 | 3.10 | <0.032 | 0.160 | 0.073 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 7.400 | <0.072 | 0.042 | <0.01 | 0.0590 | |||
| RHINE2018 | RHINE2018_Stat_S_004 | s_RHINE2018_Stat_S_004_RU_004 | https://doi.org/10.60510/GFHER2958D | 51.4078 | 6.8941 | 0.5 | 2018-09-10T13:42:00 | RHINE2018 | 6.60 | 4.90 | 7.30 | 3.30 | 5.00 | 0.350 | 0.190 | <0.0230 | <0.029 | <0.048 | <0.0082 | 4.80 | 0.560 | <0.049 | 2.70 | <0.032 | 0.150 | 0.065 | <0.013 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 6.800 | <0.072 | 0.044 | <0.01 | 0.0560 | |||
| RHINE2018 | RHINE2018_Stat_S_009 | s_RHINE2018_Stat_S_009_RH_002 | https://doi.org/10.60510/GFHEREF366 | 50.9840 | 6.9866 | 0.5 | 2018-09-11T09:30:00 | RHINE2018 | 3.80 | 3.00 | 3.30 | 1.50 | 2.40 | 0.440 | 0.230 | <0.0230 | <0.029 | <0.048 | <0.0082 | 3.10 | 1.800 | <0.160 | 2.20 | <0.032 | <0.098 | 0.052 | <0.013 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.640 | <0.072 | 0.063 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_010 | s_RHINE2018_Stat_S_010_RH_003 | https://doi.org/10.60510/GFHERFB699 | 51.0310 | 6.9684 | 0.5 | 2018-09-11T10:22:00 | RHINE2018 | 4.10 | 2.80 | 3.30 | 1.60 | 2.40 | 0.420 | 0.230 | <0.0230 | <0.029 | <0.048 | <0.0082 | 66.00 | 2.000 | <0.160 | 2.50 | <0.032 | <0.029 | 0.047 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.610 | <0.072 | 0.069 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_011 | s_RHINE2018_Stat_S_011_RH_004 | https://doi.org/10.60510/GFHER4AA9F | 51.0573 | 6.9160 | 0.5 | 2018-09-11T11:26:00 | RHINE2018 | 4.00 | 2.80 | 3.10 | 1.40 | 2.30 | 0.420 | 0.220 | <0.0230 | <0.029 | <0.048 | <0.0082 | 35.00 | 1.800 | <0.160 | 2.30 | <0.032 | <0.098 | 0.057 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.600 | <0.072 | 0.057 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_012 | s_RHINE2018_Stat_S_012_RH_006 | https://doi.org/10.60510/GFHER48B9D | 51.0515 | 6.9658 | 0.5 | 2018-09-11T12:32:00 | RHINE2018 | 3.80 | 2.10 | 3.40 | 1.30 | 2.70 | 0.580 | 0.260 | <0.0230 | <0.029 | <0.048 | <0.0082 | 4.60 | 1.900 | 0.220 | 2.10 | <0.032 | 0.210 | 0.108 | <0.035 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | 1.800 | <0.072 | 0.049 | <0.01 | 0.0350 | |||
| RHINE2018 | RHINE2018_Stat_S_013 | s_RHINE2018_Stat_S_013_RH_005 | https://doi.org/10.60510/GFHERDEDD9 | 51.0967 | 6.8795 | 0.5 | 2018-09-11T13:29:00 | RHINE2018 | 4.40 | 2.80 | 3.30 | 1.50 | 2.50 | 0.470 | 0.280 | <0.0230 | <0.029 | <0.048 | <0.0082 | 34.00 | 1.900 | <0.160 | 2.90 | <0.032 | <0.098 | 0.043 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.760 | <0.072 | 0.072 | <0.01 | 0.0330 | |||
| RHINE2018 | RHINE2018_Stat_S_014 | s_RHINE2018_Stat_S_014_RH_001 | https://doi.org/10.60510/GFHER8CE8E | 50.8957 | 7.0222 | 0.5 | 2018-09-11T16:05:00 | RHINE2018 | 3.80 | 2.80 | 3.20 | 1.40 | 2.30 | 0.380 | 0.210 | <0.0230 | <0.029 | <0.048 | <0.0082 | 3.80 | 1.800 | <0.049 | 2.10 | <0.032 | <0.098 | 0.049 | <0.013 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.510 | <0.072 | 0.050 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_005 | s_RHINE2018_Stat_S_005_RU_005 | https://doi.org/10.60510/GFHER65482 | 51.4493 | 6.7931 | 0.5 | 2018-09-10T15:24:00 | RHINE2018 | 5.80 | 4.70 | 7.40 | 3.60 | 4.80 | 0.350 | 0.170 | <0.0230 | <0.029 | <0.048 | <0.0082 | 4.80 | 0.570 | <0.049 | 2.60 | <0.032 | 0.130 | 0.070 | <0.013 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 3.300 | <0.072 | 0.039 | <0.01 | 0.0390 | |||
| RHINE2018 | RHINE2018_Stat_S_006 | s_RHINE2018_Stat_S_006_RU_006 | https://doi.org/10.60510/GFHERCDF6D | 51.4434 | 6.7541 | 0.3 | 2018-09-10T16:13:00 | RHINE2018 | 6.70 | 5.40 | 7.60 | 5.30 | 5.00 | 0.430 | 0.350 | <0.0510 | <0.029 | <0.048 | <0.0082 | 5.70 | 0.620 | <0.160 | 4.70 | <0.032 | 0.160 | 0.060 | <0.013 | <0.007 | <0.011 | 0.0110 | <0.013 | <0.03 | 2.200 | <0.072 | 0.100 | <0.01 | 0.1400 | |||
| RHINE2018 | RHINE2018_Stat_S_007 | s_RHINE2018_Stat_S_007_RU_007 | https://doi.org/10.60510/GFHER93D3F | 51.4696 | 6.7159 | 0.5 | 2018-09-10T17:15:00 | RHINE2018 | 4.60 | 3.20 | 3.30 | 1.60 | 2.50 | 0.450 | 0.230 | <0.0230 | <0.029 | <0.048 | <0.0082 | 30.00 | 2.000 | <0.160 | 2.30 | <0.032 | <0.098 | 0.057 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.670 | <0.072 | 0.053 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_008 | s_RHINE2018_Stat_S_008_RU_008 | https://doi.org/10.60510/GFHER9AD5A | 51.4354 | 6.7153 | 0.5 | 2018-09-10T18:10:00 | RHINE2018 | 4.90 | 3.20 | 3.70 | 1.70 | 2.80 | 0.480 | 0.300 | <0.0230 | <0.029 | <0.048 | <0.0082 | 28.00 | 1.900 | <0.160 | 3.20 | <0.032 | <0.098 | 0.066 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.800 | <0.072 | 0.080 | <0.01 | 0.0530 | |||
| RHINE2018 | RHINE2018_Stat_S_015 | s_RHINE2018_Stat_S_015_REF | https://doi.org/10.60510/GFHER2C9CD | 50.3186 | 7.7341 | 0.5 | 2018-09-11T18:30:00 | RHINE2018 | 4.50 | 2.10 | 3.80 | 1.30 | 2.70 | 0.450 | 0.260 | <0.0230 | <0.029 | <0.048 | <0.0082 | 3.70 | 0.830 | <0.049 | 4.50 | <0.032 | <0.098 | 0.059 | <0.013 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.280 | <0.072 | 0.040 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_016 | s_RHINE2018_Stat_S_016_MA_007 | https://doi.org/10.60510/GFHER866D3 | 50.0063 | 8.2803 | 0.5 | 2018-09-12T09:52:00 | RHINE2018 | 3.50 | 2.40 | 3.30 | 1.50 | 2.30 | 0.450 | 0.160 | <0.0230 | <0.029 | <0.048 | <0.0082 | 3.60 | 1.400 | <0.049 | 1.30 | <0.032 | 0.120 | 0.160 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.670 | <0.072 | 0.041 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_017 | s_RHINE2018_Stat_S_017_MA_006 | https://doi.org/10.60510/GFHERC82AE | 49.9710 | 8.3284 | 0.5 | 2018-09-12T10:52:00 | RHINE2018 | 5.20 | 2.30 | 2.90 | 1.30 | 1.90 | 0.360 | 0.190 | <0.0230 | <0.029 | <0.048 | <0.0082 | 2.40 | 1.400 | <0.160 | 2.00 | <0.032 | <0.029 | 0.030 | <0.013 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.790 | <0.072 | 0.052 | <0.01 | 0.0320 | |||
| RHINE2018 | RHINE2018_Stat_S_018 | s_RHINE2018_Stat_S_018_MA_005 | https://doi.org/10.60510/GFHERDD9A9 | 49.9992 | 8.3536 | 0.5 | 2018-09-12T11:50:00 | RHINE2018 | 3.50 | 2.30 | 3.30 | 1.50 | 2.40 | 0.470 | 0.180 | <0.0230 | <0.029 | <0.048 | <0.0082 | 3.70 | 1.200 | <0.049 | 1.30 | <0.032 | 0.120 | 0.190 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.570 | <0.072 | 0.037 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_019 | s_RHINE2018_Stat_S_019_MA_004 | https://doi.org/10.60510/GFHER429CD | 50.0176 | 8.4516 | 0.5 | 2018-09-12T12:42:00 | RHINE2018 | 3.50 | 2.30 | 3.20 | 1.50 | 2.40 | 0.460 | 0.160 | <0.0230 | <0.029 | <0.048 | <0.0082 | 3.50 | 1.200 | <0.160 | 1.30 | <0.032 | 0.100 | 0.180 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.540 | <0.072 | 0.038 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_020 | s_RHINE2018_Stat_S_020_MA_003 | https://doi.org/10.60510/GFHERD99B2 | 50.0758 | 8.5220 | 0.5 | 2018-09-12T14:21:00 | RHINE2018 | 4.40 | 2.60 | 3.60 | 1.80 | 2.70 | 0.580 | 0.200 | <0.0230 | <0.029 | <0.048 | <0.0082 | 3.70 | 1.300 | <0.049 | 1.40 | <0.032 | <0.098 | 0.210 | <0.035 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 0.630 | <0.072 | 0.037 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_021 | s_RHINE2018_Stat_S_021_MA_002 | https://doi.org/10.60510/GFHER9F627 | 50.0940 | 8.5712 | 0.5 | 2018-09-12T15:26:00 | RHINE2018 | 4.20 | 2.20 | 3.10 | 1.50 | 2.20 | 0.460 | 0.150 | <0.0230 | <0.029 | <0.048 | <0.0082 | 2.90 | 0.890 | <0.160 | 1.00 | <0.032 | <0.098 | 0.082 | <0.035 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | 0.290 | <0.072 | 0.027 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_022 | s_RHINE2018_Stat_S_022_MA_001 | https://doi.org/10.60510/GFHERE2F6F | 50.1305 | 8.8368 | 0.5 | 2018-09-12T16:53:00 | RHINE2018 | 3.10 | 1.90 | 2.80 | 1.40 | 2.10 | 0.450 | 0.140 | <0.0230 | <0.029 | <0.048 | <0.0082 | 2.90 | 0.870 | <0.049 | 1.00 | <0.032 | <0.098 | 0.074 | <0.035 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | 0.260 | <0.072 | 0.025 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_023 | s_RHINE2018_Stat_S_023_AZ_006 | https://doi.org/10.60510/GFHER522BD | 48.2570 | 12.7627 | 0.5 | 2018-09-13T12:47:00 | RHINE2018 | 1.30 | 0.24 | <0.28 | 0.22 | 0.36 | <0.084 | <0.033 | <0.0230 | <0.029 | <0.048 | <0.0082 | 0.30 | <0.290 | <0.049 | <0.25 | <0.032 | <0.029 | 0.043 | <0.013 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | <0.063 | <0.072 | <0.017 | <0.01 | <0.0310 | |||
| RHINE2018 | RHINE2018_Stat_S_024 | s_RHINE2018_Stat_S_024_AZ_007 | https://doi.org/10.60510/GFHER5FD25 | 48.2485 | 12.8440 | 0.5 | 2018-09-13T14:37:00 | RHINE2018 | 0.73 | 0.21 | <0.28 | 0.22 | 0.45 | <0.084 | <0.033 | <0.0230 | <0.029 | <0.048 | <0.0082 | 0.33 | <0.290 | <0.049 | <0.25 | <0.032 | <0.029 | 0.048 | <0.035 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | <0.063 | <0.072 | <0.012 | <0.01 | <0.0094 | |||
| RHINE2018 | RHINE2018_Stat_S_027 | s_RHINE2018_Stat_S_027_AZ_003 | https://doi.org/10.60510/GFHER95747 | 48.1786 | 12.7438 | 0.3 | 2018-09-13T17:14:00 | RHINE2018 | 190.00 | 280.00 | 110.00 | 37.00 | 20.00 | 6.000 | 1.000 | 1.6000 | 0.140 | <0.160 | <0.0082 | 3.70 | <0.290 | <0.049 | 0.47 | <0.032 | <0.029 | 3600.000 | 2500.000 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 2.900 | <0.072 | 0.075 | <0.01 | <0.0094 | |||
| RHINE2018 | RHINE2018_Stat_S_026 | s_RHINE2018_Stat_S_026_AZ_004 | https://doi.org/10.60510/GFHERCE9E7 | 48.1936 | 12.7732 | 0.3 | 2018-09-13T16:31:00 | RHINE2018 | 140.00 | 200.00 | 80.00 | 26.00 | 20.00 | 4.100 | 0.840 | 1.3000 | 0.130 | <0.160 | <0.0082 | 3.10 | <0.290 | <0.049 | 0.40 | <0.032 | <0.029 | 2300.000 | 1800.000 | <0.007 | <0.011 | <0.0230 | <0.013 | <0.03 | 2.100 | <0.072 | 0.059 | <0.01 | <0.0094 | |||
| RHINE2018 | RHINE2018_Stat_S_025 | s_RHINE2018_Stat_S_025_AZ_005 | https://doi.org/10.60510/GFHER98FBE | 48.2624 | 12.8088 | 0.3 | 2018-09-13T15:42:00 | RHINE2018 | 130.00 | 220.00 | 75.00 | 29.00 | 180.00 | 3.400 | 1.200 | 1.2000 | 0.160 | <0.160 | <0.0082 | 3.50 | 0.320 | <0.049 | 0.44 | <0.032 | <0.029 | 1900.000 | 2000.000 | <0.007 | <0.011 | 0.0180 | <0.013 | <0.03 | 0.910 | <0.072 | 0.039 | <0.01 | <0.0094 | |||
| RHINE2018 | RHINE2018_Stat_S_028 | s_RHINE2018_Stat_S_028_AZ_002 | https://doi.org/10.60510/GFHERF95B3 | 48.1715 | 12.7311 | 0.5 | 2018-09-13T17:58:00 | RHINE2018 | 1.10 | 1.00 | 0.67 | 0.55 | 2.50 | 0.390 | 0.130 | 0.1900 | <0.029 | <0.048 | <0.0082 | 0.44 | <0.290 | <0.049 | 0.42 | <0.032 | <0.029 | 25.000 | 37.000 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | <0.063 | <0.072 | <0.012 | <0.01 | <0.0094 | |||
| RHINE2018 | RHINE2018_Stat_S_029 | s_RHINE2018_Stat_S_029_AZ_001 | https://doi.org/10.60510/GFHERE37E2 | 48.1521 | 12.6555 | 0.3 | 2018-09-13T18:38:00 | RHINE2018 | 0.65 | 0.30 | 0.38 | 0.25 | 0.77 | <0.084 | <0.087 | 0.0590 | <0.029 | <0.048 | <0.0082 | 0.44 | <0.290 | <0.049 | 0.45 | <0.032 | <0.029 | 0.550 | 1.200 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | <0.063 | <0.072 | <0.017 | <0.01 | <0.0094 | |||
| RHINE2018 | RHINE2018_Stat_S_030 | s_RHINE2018_Stat_S_030_AZ_008 | https://doi.org/10.60510/GFHER2A6E2 | 48.1935 | 12.8618 | 0.5 | 2018-09-14T09:55:00 | RHINE2018 | 1.50 | 1.80 | 1.10 | 0.96 | 4.80 | 0.150 | <0.087 | <0.0230 | <0.029 | <0.048 | <0.0082 | 0.44 | <0.290 | <0.049 | 0.28 | <0.032 | <0.029 | 18.000 | 12.000 | <0.007 | <0.011 | <0.0068 | <0.013 | <0.03 | <0.210 | <0.072 | <0.012 | <0.01 | <0.0094 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_002_Xi | s_ChineseRivers_2018_Stat_FX_002_Xi_FX_002_PFASs | https://doi.org/10.60510/GFHER4D835 | 41.9600 | 121.5860 | 0.5 | 2018-11-15T09:11:00 | ChineseRivers1 | 1500.00 | 5.10 | 11.00 | 6.50 | 50.00 | 0.660 | <0.590 | <0.0077 | <0.083 | <0.480 | <0.0820 | 4800.00 | 2.000 | 2.100 | 1.80 | <0.320 | <0.290 | <0.730 | <0.093 | <0.120 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.070 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_002_S_Xi | s_ChineseRivers_2018_Stat_FX_002_S_Xi_FX_002_S_PFASs | https://doi.org/10.60510/GFHERB2DC9 | 41.9600 | 121.5900 | 0.5 | 2018-11-15T09:02:00 | ChineseRivers1 | 4100.00 | 19.00 | 45.00 | 53.00 | 540.00 | 0.940 | <0.590 | <0.0077 | <0.083 | <0.480 | <0.0820 | 18000.00 | 11.000 | 8.800 | 2.80 | <0.320 | <0.290 | 0.910 | <0.093 | <0.120 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.230 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_003_Xi | s_ChineseRivers_2018_Stat_FX_003_Xi_FX_003_PFASs | https://doi.org/10.60510/GFHER64DE3 | 41.9470 | 121.5790 | 0.5 | 2018-11-15T10:05:00 | ChineseRivers1 | 1100.00 | 4.00 | 7.90 | 5.20 | 49.00 | 0.740 | <0.180 | <0.0077 | <0.083 | <0.480 | <0.0820 | 3100.00 | 1.400 | <1.200 | 1.40 | <0.320 | <0.290 | <0.730 | <0.093 | 0.140 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.230 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_004_Xi | s_ChineseRivers_2018_Stat_FX_004_Xi_FX_004_PFASs | https://doi.org/10.60510/GFHER5F59E | 41.9400 | 121.5800 | 0.5 | 2018-11-15T10:44:00 | ChineseRivers1 | 1100.00 | 5.40 | 9.10 | 6.00 | 67.00 | 0.870 | <0.590 | <0.0077 | <0.083 | <0.480 | <0.0820 | 2600.00 | 1.100 | <1.200 | 0.78 | <0.320 | <0.290 | <0.730 | <0.093 | 0.120 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.070 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_005_Xi | s_ChineseRivers_2018_Stat_FX_005_Xi_FX_005_PFASs | https://doi.org/10.60510/GFHER38ACC | 41.9030 | 121.5610 | 0.5 | 2018-11-15T11:30:00 | ChineseRivers1 | 610.00 | 13.00 | 21.00 | 14.00 | 110.00 | 1.530 | 0.900 | <0.0077 | <0.280 | <0.480 | <0.0820 | 1400.00 | <0.990 | <0.370 | 1.40 | <0.320 | <0.290 | <0.730 | 0.197 | 0.260 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.070 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_006_Xi | s_ChineseRivers_2018_Stat_FX_006_Xi_FX_006_PFASs | https://doi.org/10.60510/GFHER5B43B | 41.8350 | 121.5760 | 0.5 | 2018-11-15T14:59:00 | ChineseRivers1 | 770.00 | 7.40 | 12.00 | 5.10 | 86.00 | 1.180 | 0.810 | <0.0077 | <0.083 | <0.480 | <0.0820 | 1700.00 | 1.000 | <0.370 | 2.70 | <0.320 | <0.290 | <0.730 | <0.093 | 0.470 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.230 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_008_Yimatu | s_ChineseRivers_2018_Stat_FX_008_Yimatu_FX_008_PFASs | https://doi.org/10.60510/GFHERB79FE | 41.8300 | 121.5250 | 0.5 | 2018-11-15T13:15:00 | ChineseRivers1 | 590.00 | 5.40 | 4.10 | 3.00 | 43.00 | 0.680 | <0.180 | <0.0077 | <0.083 | <0.480 | <0.0820 | 98.00 | <0.300 | <0.370 | <0.49 | <0.320 | <0.290 | <0.730 | <0.093 | <0.037 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.070 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_009_Xi | s_ChineseRivers_2018_Stat_FX_009_Xi_FX_009_PFASs | https://doi.org/10.60510/GFHER2E625 | 41.8020 | 121.5370 | 0.5 | 2018-11-15T13:56:00 | ChineseRivers1 | 990.00 | 8.20 | 18.00 | 8.20 | 110.00 | 1.000 | <0.590 | <0.0077 | <0.083 | <0.480 | <0.0820 | 2400.00 | 1.100 | <0.370 | 1.50 | <0.320 | <0.290 | <0.730 | <0.093 | 0.160 | <0.075 | <0.0680 | <0.130 | <0.30 | <0.530 | <0.720 | <0.230 | <0.10 | <0.0940 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_001_Xiaoqing | s_ChineseRivers_2018_Stat_XQ_001_Xiaoqing_XQ_001_PFASs | https://doi.org/10.60510/GFHER9BEBF | 37.0660 | 117.8920 | 0.5 | 2018-11-11T14:12:00 | ChineseRivers2 | 12.00 | 4.30 | 4.30 | 3.20 | 41.00 | 0.780 | <0.330 | <0.0077 | <0.051 | <0.100 | <0.0160 | 3.80 | 2.500 | <0.060 | 2.70 | <0.065 | <0.059 | 1.500 | <0.019 | 3.300 | <0.015 | <0.0140 | <0.026 | <0.06 | 1.700 | <0.140 | 0.046 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_002_Xiaoqing | s_ChineseRivers_2018_Stat_XQ_002_Xiaoqing_XQ_002_PFASs | https://doi.org/10.60510/GFHER59A99 | 37.0850 | 117.9900 | 0.5 | 2018-11-11T13:13:00 | ChineseRivers2 | 47.00 | 27.00 | 26.00 | 9.20 | 170.00 | 0.920 | 0.440 | <0.0077 | <0.051 | <0.100 | <0.0160 | 3.40 | 2.800 | 0.310 | 5.10 | <0.065 | <0.059 | 3.200 | <0.019 | 4.200 | <0.015 | <0.0140 | <0.026 | <0.06 | 2.000 | <0.140 | 0.067 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_003_DongZhulong | s_ChineseRivers_2018_Stat_XQ_003_DongZhulong_XQ_003_PFASs | https://doi.org/10.60510/GFHERAA2D2 | 36.8910 | 118.0380 | 0.5 | 2018-11-11T08:30:00 | ChineseRivers2 | 59.00 | 21.00 | 9.70 | 3.20 | 58.00 | 0.940 | <0.330 | <0.0077 | <0.051 | <0.100 | <0.0160 | 1.90 | 0.410 | <0.060 | 3.10 | <0.065 | <0.059 | 1.600 | <0.019 | 1.200 | <0.015 | <0.0140 | <0.026 | <0.06 | 0.530 | <0.140 | 0.290 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_004_DongZhulong | s_ChineseRivers_2018_Stat_XQ_004_DongZhulong_XQ_004_PFASs | https://doi.org/10.60510/GFHER39AF8 | 36.9730 | 118.0410 | 0.5 | 2018-11-11T09:33:00 | ChineseRivers2 | 230.00 | 160.00 | 76.00 | 18.00 | 250.00 | 1.200 | <0.330 | <0.0077 | <0.051 | <0.100 | <0.0160 | 1.50 | 0.760 | <0.060 | 5.30 | <0.065 | <0.059 | 95.000 | <0.019 | 0.880 | <0.015 | <0.0140 | <0.026 | <0.06 | 0.480 | <0.140 | 0.320 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_001_Xi | s_ChineseRivers_2018_Stat_FX_001_Xi_FX_001_PFASs | https://doi.org/10.60510/GFHERCD3B9 | 41.9900 | 121.6080 | 0.5 | 2018-11-15T08:21:00 | ChineseRivers2 | 300.00 | 1.30 | 3.40 | 3.22 | 88.00 | 0.800 | 0.120 | <0.0077 | <0.051 | <0.100 | <0.0160 | 750.00 | 0.510 | 0.420 | 0.70 | <0.065 | <0.059 | 0.690 | <0.019 | 0.230 | <0.015 | <0.0140 | <0.026 | <0.06 | <0.110 | <0.140 | 0.089 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_007_Yimatu | s_ChineseRivers_2018_Stat_FX_007_Yimatu_FX_007_PFASs | https://doi.org/10.60510/GFHER69C92 | 41.8630 | 121.5100 | 0.5 | 2018-11-15T12:31:00 | ChineseRivers2 | 130.00 | <0.70 | <0.63 | 0.64 | <13.00 | <0.130 | 0.120 | <0.0077 | <0.051 | <0.100 | <0.0160 | 11.00 | <0.048 | <0.060 | 0.26 | <0.065 | <0.059 | <0.031 | <0.019 | <0.014 | <0.015 | <0.0140 | <0.026 | <0.06 | <0.110 | <0.140 | <0.012 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_001_Yangtze | s_ChineseRivers_2018_Stat_YZ_001_Yangtze_YZ_001_PFASs | https://doi.org/10.60510/GFHER6E9C9 | 31.8850 | 120.8130 | 0.5 | 2018-11-21T09:25:00 | ChineseRivers2 | 6.50 | <0.70 | 29.00 | 1.30 | 32.00 | <0.400 | 0.120 | <0.0077 | <0.051 | <0.100 | <0.0160 | 6.30 | 0.810 | <0.060 | 1.10 | <0.065 | <0.059 | 0.590 | <0.019 | 0.260 | <0.015 | <0.0140 | <0.026 | <0.06 | <0.350 | <0.140 | 0.100 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_002_Fushan | s_ChineseRivers_2018_Stat_YZ_002_Fushan_YZ_002_PFASs | https://doi.org/10.60510/GFHER769FA | 31.8010 | 120.8160 | 0.5 | 2018-11-21T10:25:00 | ChineseRivers2 | 120.00 | 56.00 | 1300.00 | 29.00 | 710.00 | 3.500 | 2.100 | 0.6400 | 0.170 | <0.100 | <0.0160 | 6.80 | 2.100 | <0.060 | 2.10 | <0.065 | <0.059 | 95.000 | <0.019 | 0.470 | <0.015 | <0.0140 | <0.026 | 0.66 | 210.000 | <0.480 | 0.450 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_004_Yangtze | s_ChineseRivers_2018_Stat_YZ_004_Yangtze_YZ_004_PFASs | https://doi.org/10.60510/GFHERAEABF | 31.7920 | 120.8060 | 0.5 | 2018-11-21T14:00:00 | ChineseRivers2 | 5.70 | 1.30 | 77.00 | 1.60 | 58.00 | 0.460 | <0.330 | <0.0077 | <0.051 | <0.100 | <0.0160 | 4.40 | 0.860 | <0.060 | 0.69 | <0.065 | <0.059 | 1.800 | <0.019 | 0.230 | <0.015 | <0.0140 | <0.026 | <0.06 | 0.740 | <0.140 | 0.072 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_005_Yangtze | s_ChineseRivers_2018_Stat_YZ_005_Yangtze_YZ_005_PFASs | https://doi.org/10.60510/GFHER5FACA | 31.7840 | 120.8160 | 0.5 | 2018-11-21T11:55:00 | ChineseRivers2 | 5.90 | 1.20 | 68.00 | 2.20 | 80.00 | <0.400 | 0.120 | <0.0077 | <0.051 | <0.100 | <0.0160 | 4.90 | 0.570 | <0.060 | 0.72 | <0.065 | <0.059 | 1.500 | <0.019 | 0.150 | <0.015 | <0.0140 | <0.026 | <0.06 | 1.200 | <0.140 | 0.068 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_006_Yangtze | s_ChineseRivers_2018_Stat_YZ_006_Yangtze_YZ_006_PFASs | https://doi.org/10.60510/GFHER79632 | 31.7860 | 120.8140 | 0.5 | 2018-11-21T14:18:00 | ChineseRivers2 | 24.00 | 8.60 | 120.00 | 9.30 | 180.00 | 3.000 | 1.200 | 0.3500 | <0.051 | <0.100 | <0.0160 | 3.60 | 2.800 | <0.060 | 2.50 | <0.065 | <0.059 | 6.300 | <0.019 | 1.300 | <0.015 | <0.0140 | <0.026 | <0.06 | 1.300 | <0.140 | 0.091 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_007_Wangyu | s_ChineseRivers_2018_Stat_YZ_007_Wangyu_YZ_007_PFASs | https://doi.org/10.60510/GFHER2732C | 31.7750 | 120.8130 | 0.5 | 2018-11-21T12:25:00 | ChineseRivers2 | 6.00 | 1.10 | 90.00 | 1.00 | 18.00 | <0.400 | 0.120 | <0.0077 | <0.051 | <0.100 | <0.0160 | 5.20 | 0.740 | <0.060 | 0.72 | <0.065 | <0.059 | 1.300 | <0.019 | 0.200 | <0.015 | <0.0140 | <0.026 | <0.06 | 1.400 | <0.140 | 0.075 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_008_Yangtze | s_ChineseRivers_2018_Stat_YZ_008_Yangtze_YZ_008_PFASs | https://doi.org/10.60510/GFHER9494A | 31.7650 | 120.8750 | 0.5 | 2018-11-21T15:36:00 | ChineseRivers2 | 4.90 | <0.70 | 30.00 | 0.82 | <13.00 | <0.400 | 0.120 | <0.0077 | <0.051 | <0.100 | <0.0160 | 5.20 | 0.650 | <0.060 | 1.20 | <0.065 | <0.059 | 0.430 | <0.019 | 0.290 | <0.015 | <0.0140 | <0.026 | <0.06 | 1.000 | <0.140 | 0.089 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_009_Yangtze | s_ChineseRivers_2018_Stat_YZ_009_Yangtze_YZ_009_PFASs | https://doi.org/10.60510/GFHER499F6 | 31.7530 | 120.9580 | 0.5 | 2018-11-21T16:30:00 | ChineseRivers2 | 5.00 | <0.70 | 15.00 | 1.10 | 25.00 | <0.400 | <0.330 | <0.0077 | <0.051 | <0.100 | <0.0160 | 5.20 | 0.660 | <0.200 | 0.87 | <0.065 | <0.059 | 0.480 | <0.019 | 0.190 | <0.015 | <0.0140 | <0.026 | <0.06 | 3.000 | <0.140 | 0.086 | <0.02 | <0.0190 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_005_DongZhulong | s_ChineseRivers_2018_Stat_XQ_005_DongZhulong_XQ_005_PFASs | https://doi.org/10.60510/GFHERC4B9E | 36.9980 | 118.0340 | 0.5 | 2018-11-11T10:32:00 | ChineseRivers3 | 3000.00 | 200.00 | 2700.00 | 5400.00 | 200000.00 | <53.000 | <21.000 | <12.0000 | <23.000 | <48.000 | <8.0000 | <110.00 | <30.000 | <37.000 | <49.00 | <32.000 | <29.000 | 1900.000 | <9.000 | <4.000 | <8.000 | <7.0000 | <13.000 | <30.00 | <53.000 | <72.000 | <7.000 | <10.00 | <9.0000 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_006_DongZhulong | s_ChineseRivers_2018_Stat_XQ_006_DongZhulong_XQ_006_PFASs | https://doi.org/10.60510/GFHERE442B | 37.0410 | 118.0460 | 0.5 | 2018-11-11T11:29:00 | ChineseRivers3 | 3600.00 | 2200.00 | 3100.00 | 8300.00 | 250000.00 | <53.000 | <21.000 | <12.0000 | <23.000 | <48.000 | <8.0000 | <110.00 | <30.000 | <37.000 | <15.00 | <32.000 | <29.000 | 3300.000 | <9.000 | <4.000 | <8.000 | <7.0000 | <13.000 | <30.00 | <53.000 | <72.000 | <7.000 | <10.00 | <9.0000 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_007_DongZhulong | s_ChineseRivers_2018_Stat_XQ_007_DongZhulong_XQ_007_PFASs | https://doi.org/10.60510/GFHEREB27A | 37.0950 | 118.0480 | 0.5 | 2018-11-11T12:04:00 | ChineseRivers3 | 4100.00 | 2500.00 | 3600.00 | 11000.00 | 320000.00 | <53.000 | <21.000 | <12.0000 | <23.000 | <48.000 | <8.0000 | <110.00 | <30.000 | <37.000 | <15.00 | <32.000 | <29.000 | 3800.000 | <9.000 | <4.000 | <8.000 | <7.0000 | <13.000 | <30.00 | <53.000 | <72.000 | <7.000 | <10.00 | <9.0000 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_008_Xiaoqing | s_ChineseRivers_2018_Stat_XQ_008_Xiaoqing_XQ_008_PFASs | https://doi.org/10.60510/GFHERE96E9 | 37.1110 | 118.1110 | 0.5 | 2018-11-11T15:37:00 | ChineseRivers3 | 530.00 | 470.00 | 580.00 | 1100.00 | 42000.00 | <53.000 | <21.000 | <12.0000 | <23.000 | <48.000 | <8.0000 | <34.00 | <99.000 | <37.000 | <15.00 | <32.000 | <29.000 | 560.000 | <9.000 | <4.000 | <8.000 | <7.0000 | <13.000 | <30.00 | <53.000 | <72.000 | <7.000 | <10.00 | <9.0000 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_009_Xiaoqing | s_ChineseRivers_2018_Stat_XQ_009_Xiaoqing_XQ_009_PFASs | https://doi.org/10.60510/GFHERCEC9A | 37.1180 | 118.1900 | 0.5 | 2018-11-11T16:23:00 | ChineseRivers3 | 310.00 | 270.00 | 320.00 | 250.00 | 6200.00 | <16.000 | <21.000 | <12.0000 | <23.000 | <48.000 | <8.0000 | <34.00 | <99.000 | <37.000 | <15.00 | <32.000 | <29.000 | 260.000 | <9.000 | <4.000 | <8.000 | <7.0000 | <13.000 | <30.00 | <53.000 | <72.000 | <23.000 | <10.00 | <9.0000 | |||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_001_Xiaoqing | i_ChineseRivers_2018_Stat_XQ_001_Xiaoqing_XQ_001_TPS | 37.0660 | 117.8920 | 0.5 | 2018-11-11T14:12:00 | 8.3 | 13.2 | 1.1 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_002_Xiaoqing | i_ChineseRivers_2018_Stat_XQ_002_Xiaoqing_XQ_002_TPS | 37.0850 | 117.9900 | 0.5 | 2018-11-11T13:13:00 | 8.3 | 14.0 | 1.3 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_003_DongZhulong | i_ChineseRivers_2018_Stat_XQ_003_DongZhulong_XQ_003_TPS | 36.8910 | 118.0380 | 0.5 | 2018-11-11T08:30:00 | 7.8 | 17.1 | 1.5 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_004_DongZhulong | i_ChineseRivers_2018_Stat_XQ_004_DongZhulong_XQ_004_TPS | 36.9730 | 118.0410 | 0.5 | 2018-11-11T09:33:00 | 8.1 | 17.3 | 1.5 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_005_DongZhulong | i_ChineseRivers_2018_Stat_XQ_005_DongZhulong_XQ_005_TPS | 36.9980 | 118.0340 | 0.5 | 2018-11-11T10:32:00 | 8.1 | 17.3 | 0.8 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_006_DongZhulong | i_ChineseRivers_2018_Stat_XQ_006_DongZhulong_XQ_006_TPS | 37.0410 | 118.0460 | 0.5 | 2018-11-11T11:29:00 | 8.1 | 17.1 | 1.5 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_007_DongZhulong | i_ChineseRivers_2018_Stat_XQ_007_DongZhulong_XQ_007_TPS | 37.0950 | 118.0480 | 0.5 | 2018-11-11T12:04:00 | 8.1 | 16.4 | 1.4 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_008_Xiaoqing | i_ChineseRivers_2018_Stat_XQ_008_Xiaoqing_XQ_008_TPS | 37.1110 | 118.1110 | 0.5 | 2018-11-11T15:37:00 | 8.2 | 13.8 | 1.4 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_XQ_009_Xiaoqing | i_ChineseRivers_2018_Stat_XQ_009_Xiaoqing_XQ_009_TPS | 37.1180 | 118.1900 | 0.5 | 2018-11-11T16:23:00 | 8.3 | 14.7 | 1.7 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_001_Xi | i_ChineseRivers_2018_Stat_FX_001_Xi_FX_001_TPS | 41.9900 | 121.6080 | 0.5 | 2018-11-15T08:21:00 | 8.8 | 4.2 | 0.6 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_002_Xi | i_ChineseRivers_2018_Stat_FX_002_Xi_FX_002_TPS | 41.9600 | 121.5860 | 0.5 | 2018-11-15T09:11:00 | 8.0 | 12.1 | 0.6 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_002_S_Xi | i_ChineseRivers_2018_Stat_FX_002_S_Xi_FX_002_S_TPS | 41.9600 | 121.5900 | 0.5 | 2018-11-15T09:02:00 | 8.0 | 6.7 | 0.7 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_003_Xi | i_ChineseRivers_2018_Stat_FX_003_Xi_FX_003_TPS | 41.9470 | 121.5790 | 0.5 | 2018-11-15T10:05:00 | 8.7 | 12.6 | 0.3 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_004_Xi | i_ChineseRivers_2018_Stat_FX_004_Xi_FX_004_TPS | 41.9400 | 121.5800 | 0.5 | 2018-11-15T10:44:00 | 8.7 | 12.1 | 0.6 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_005_Xi | i_ChineseRivers_2018_Stat_FX_005_Xi_FX_005_TPS | 41.9030 | 121.5610 | 0.5 | 2018-11-15T11:30:00 | 8.7 | 10.0 | 0.6 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_006_Xi | i_ChineseRivers_2018_Stat_FX_006_Xi_FX_006_TPS | 41.8350 | 121.5760 | 0.5 | 2018-11-15T14:59:00 | 8.7 | 8.2 | 0.8 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_007_Yimatu | i_ChineseRivers_2018_Stat_FX_007_Yimatu_FX_007_TPS | 41.8630 | 121.5100 | 0.5 | 2018-11-15T12:31:00 | 8.8 | 3.7 | 0.5 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_008_Yimatu | i_ChineseRivers_2018_Stat_FX_008_Yimatu_FX_008_TPS | 41.8300 | 121.5250 | 0.5 | 2018-11-15T13:15:00 | 8.5 | 4.3 | 1.0 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_FX_009_Xi | i_ChineseRivers_2018_Stat_FX_009_Xi_FX_009_TPS | 41.8020 | 121.5370 | 0.5 | 2018-11-15T13:56:00 | 8.8 | 6.8 | 0.7 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_001_Yangtze | i_ChineseRivers_2018_Stat_YZ_001_Yangtze_YZ_001_TPS | 31.8850 | 120.8130 | 0.5 | 2018-11-21T09:25:00 | 8.7 | 16.5 | 0.2 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_002_Fushan | i_ChineseRivers_2018_Stat_YZ_002_Fushan_YZ_002_TPS | 31.8010 | 120.8160 | 0.5 | 2018-11-21T10:25:00 | 8.4 | 14.7 | 0.3 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_003_Fushan | i_ChineseRivers_2018_Stat_YZ_003_Fushan_YZ_003_TPS | 31.8140 | 120.8290 | 0.5 | 2018-11-21T11:00:00 | 8.3 | 15.5 | 0.2 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_004_Yangtze | i_ChineseRivers_2018_Stat_YZ_004_Yangtze_YZ_004_TPS | 31.7920 | 120.8060 | 0.5 | 2018-11-21T14:00:00 | 8.5 | 15.0 | 0.2 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_005_Yangtze | i_ChineseRivers_2018_Stat_YZ_005_Yangtze_YZ_005_TPS | 31.7840 | 120.8160 | 0.5 | 2018-11-21T11:55:00 | 8.5 | 16.0 | 0.2 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_007_Wangyu | i_ChineseRivers_2018_Stat_YZ_007_Wangyu_YZ_007_TPS | 31.7750 | 120.8130 | 0.5 | 2018-11-21T12:25:00 | 8.5 | 15.8 | 0.2 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_008_Yangtze | i_ChineseRivers_2018_Stat_YZ_008_Yangtze_YZ_008_TPS | 31.7650 | 120.8750 | 0.5 | 2018-11-21T15:36:00 | 8.5 | 16.6 | 0.2 | |||||||||||||||||||||||||||||||
| ChineseRivers_2018 | ChineseRivers_2018_Stat_YZ_009_Yangtze | i_ChineseRivers_2018_Stat_YZ_009_Yangtze_YZ_009_TPS | 31.7530 | 120.9580 | 0.5 | 2018-11-21T16:30:00 | 8.5 | 18.7 | 0.2 |