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China

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  • This data pertains to simulations carried for 90 days for a 100 cm deep lysimeter planted with rice plant in Ningbo, China. The diameter of the lysimeter was 80 cm. The boundary conditions for the simulations were obtained from the in-situ instruments. Soil moisture and metal concentration in the root zone were simulated and recorded at regular intervals. Full details about this dataset can be found at https://doi.org/10.5285/ade59134-8837-4326-b2b4-182f64143b08

  • This dataset contains atmospheric nitrous acid (HONO) measurements made at the IAP-Beijing site during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. HONO data was obtained using a commercial (QUMA) Long Path Absorption Photometer (LOPAP) instrument and calibrated using liquid nitrite standards. Data are averaged over 5 mins, the time stamp represents the start time of each averaging period. Missing data are either due to baseline measurements, calibrations or instrument malfunction. They are not retrievable.

  • This dataset contains chemical composition measurements of PM2.5 particles made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. Daily fine particles were collected on the PTFE (Polytetrafluoroethylene) filters using the Partisol samplers. The filters were then analysed for metals using X-ray fluorescence (XRF) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), and for ion species using Ion Chromatography. Quartz filters were collected by Tisch high vol, samplers and then were analysed for organic and elemental carbons using the DRI Model 2015 Multiwavelength Thermal/Optical Carbon Analyser, and organic tracers using Gas chromatography–mass spectrometry (GC-MS).

  • This dataset contains particle number size distribution (PNSD) measurements made at the Institute of Atmospheric Physics land station, Beijing (IAP-Beijing) site during the summer APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. A University of Birmingham Particle Size Magnifier (PSM) and 2 Scanning Mobility Particle Size Spectrometer (SMPS) systems were deployed to measure PNSD from 1.5 to 615 nm. This dataset contains two files. The number file shows the concentration of particles in each size bin, whilst the dN/dlogDp file shows the data as a lognormal function of diameter.

  • Elemental analysis of 80 soil samples taken in the Ningbo Watershed, in the Zhangxi catchment, Eastern China. Variables measured include As, Cd, Cr, Cu, Ni, P, Pb, and lead isotope ratios along with concentrations of Zn, Ca and K. Data was collected in March 2016 and analysed at Queens Belfast University. The data was collected and analysed as part of a NERC NSFC funded multi project research programme UK- China Critical Zone Observation Programme. Full details about this dataset can be found at https://doi.org/10.5285/9c2e8b85-48ab-48c9-b69d-dd676a5d086f

  • This dataset contains wind speed and direction, air temperature, relative humidity, barometric pressure, nitric oxide, nitric dioxide, nitric oxides, sulphur dioxide, carbon dioxide, ozone and pm2.5 based on a newly built-up rural site at Xibaidian, Pinggu district, Beijing in winter 2016 and summer 2017. The data were taken for the APHH-Beijing campaign for the Effects of air pollutions on cardiopulmonary disease in urban and peri-urban residents in Beijing (AIRLESS) project as part of the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. Instruments were deployed on the roof of a one-story building in the far north end of a village, where most of the subjects resided nearby. Northern winds tend to bring relatively clean background air. In contrast, winds from the south are often contaminated by emissions from traffic and industries. The following instruments were used: 1. Meteorological parameter: TH16A meteorological station 2. NOx: TEI 42 trace level chemiluminescence NOx Analyzer; 3. SO2: Ecotech EC9850 Sulfur Dioxide Analyzer 4. CO: Ecotech EC9830 Carbon Monoxide Analyzer 5. O3: Ecotech EC9810 Ozone Analyzer 6. PM2.5: Met One BAM 1020 The dataset was collected in Xibaidian, Pinggu district, Beijing for the Effects of air pollutions on cardiopulmonary disease in urban and peri-urban residents in Beijing (AIRLESS) project can provide ambient level of air pollutant in rural Beijing, enabling better understanding of the exposure level for local residents and potential examination for the related health effects.

  • This dataset contains Laser induced fluorescence (LIF) OH reactivity measurements made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter and summer APHH-Beijing campaigns for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. The Leeds OH reactivity instrument measures OH reactivity by photolysing ozone at 266 nm to produce OH, decay of OH with ambient air is measured with LIF (laser induced fluorescence) at 308 nm. The results generate a bi-exponential curve and a line of best fit can be used to calculate OH lifetime. The instrument is calibrated by flowing air zero through the instrument. The units for OH reactivity is in s-1. The data has been filtered for instrument instabilities such as pressure, laser power, high background (laser scatter) and laser alignment

  • Data comprise results of social surveys carried out in China during 2016 – 2018 to environmental scientists and the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province, Changwu County, Shaanxi Province, and Yujiang County, Jiangxi Province. Full details about this dataset can be found at https://doi.org/10.5285/e674e08c-fbf5-411b-940c-7e31014f0e76

  • Data comprise results of social surveys carried out in China during 2016 – 2018 to the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province and in Yujiang County, Jiangxi Province. The study was funded by the grant NE/N007425/1 which was awarded by the UK Natural Environment Research Council (NERC), and through cooperation with grant 41571130074 awarded by the National Natural Science Foundation (NSFC) of China, as part of the UK – China Critical Zone Observatory (CZO). Full details about this dataset can be found at https://doi.org/10.5285/9c14948d-cf58-4194-9fef-c2cb56818667

  • This dataset contains Fluorescence Assay Gas Expansion measurements of OH, HO2 and RO2 made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter and summer APHH-Beijing campaigns for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. The measurements were taken using the FAGE (Fluorescence Assay by Gas Expansion) technique which is a LIF (laser induced fluorescence) that measures on-resonance fluorescence at 308 nm. HO2 and RO2 are converted to OH via reaction with NO and NO + CO respectively. The instrument is calibrated by photolysis of known concentration of water vapour at 185 nm to generate know concentrations of OH and HO2, same method used for HO2 but NO is injected into the flow to convert HO2 to OH. RO2 is calibrated by photolysing water vapur at 185 nm to generate OH but CH4 is added to convert OH to CH3O2, then CH3O2 is converted to OH using CO and NO. The calibration was preform every three days on campaign, and from this we can convert counts measured into concentration. The units for OH, HO2 and RO2 and there associated errors is molecules cm-3. The data has been filtered for instabilities in data collection including unstable pressure, unstable online, low laser power and not going online correctly. The data has been flagged for when the values were below limit of detection.