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  • Anemometer; Bad Lauchstädt; BARO; Barometer; BL_ASC; BL_DAT; BL_DWD; BL_fiktiv; BL_SYNMET; DATE/TIME; Field observation; Germany, Bad Lauchstaedt; Hair hygrometer; historical weather data; Humidity, relative, daily mean; meteorological data; Precipitation, daily total; Pressure, atmospheric, daily mean; Short-wave downward (GLOBAL) radiation, daily sum; Station label; Temperature, air, daily maximum; Temperature, air, daily mean; Temperature, air, daily minimum; Temperature, soil, daily mean; weather data; weather station; Weather station/meteorological observation; Weather Station ID 1; Weather Station ID 113; Weather Station ID 136; Weather Station ID 55; Weather Station ID 56; Wind direction, daily mean; Wind speed, daily mean; Wind vane; WST  (1)
  • natural organic matter  (1)
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  • 1
    Publication Date: 2021-10-13
    Description: The sulfidation and aging of silver nanoparticles (Ag-NPs) with natural organic matter (NOM) are major transformation processes along their pathway in wastewater treatment plants and surface waters. Although soils appear to be a sink for disposed Ag-NPs, the impact of variable saturation on the transport and retention behavior in porous media is still not fully understood. We studied the behavior of sulfidized silver nanoparticles (S-Ag-NPs, 1 mg L−1) in saturated and unsaturated sand columns regarding the effects of (i) the presence of NOM (5 mg L−1) in the aquatic phase on retention, transport, and remobilization of S-Ag-NPs and (ii) the distribution and quantity of air-water and solid-water interfaces for different flow velocities determined via X-ray microtomography (X-ray μCT). Unsaturated transport experiments were conducted under controlled conditions with unit gradients in water potential and constant water content along the flow direction for each applied flux. It was shown that (i) NOM in S-Ag-NP dispersion highly increased the NP-mobility; (ii) differences between saturated and unsaturated transport were increasing with decreasing flux and, consequently, decreasing water contents; (iii) both, solid-water and air-water interfaces were involved in retention of S-Ag-NPs aged by NOM. Using numerical model simulations and X-ray μCT of flow experiments, the breakthrough of Ag-NP could be explained by a disproportional increase in air-water interfaces and an increasing attachment efficiency with decreasing water content and flow velocity.
    Keywords: 577.275 ; 550.724 ; silver nanoparticles ; X-ray tomography ; phase distribution ; air-water interface ; natural organic matter ; transport
    Language: English
    Type: map
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  • 2
    Publication Date: 2023-07-14
    Description: The considered data set contains measurements of 4 automatic weather stations from 1997 until 2018 installed by Helmholtz Centre for Environmental Research - UFZ GmbH. Here, the main station corresponded to typical sensor technology and equipment of the German Meteorological Service [Deutscher Wetterdienst, DWD]. These data were quality-checked and processed as daily values. As far as possible, erroneous values were replaced by means of other stations on site. Very short failures could be supplemented by interpolation or averaging. Hence, values of measured variable can originate from different stations. However, only one value for each measured variable is provided for every day within the table. A unique label for individual weather stations is used to identify the exact origin of data.
    Keywords: Anemometer; Bad Lauchstädt; BARO; Barometer; BL_ASC; BL_DAT; BL_DWD; BL_fiktiv; BL_SYNMET; DATE/TIME; Field observation; Germany, Bad Lauchstaedt; Hair hygrometer; historical weather data; Humidity, relative, daily mean; meteorological data; Precipitation, daily total; Pressure, atmospheric, daily mean; Short-wave downward (GLOBAL) radiation, daily sum; Station label; Temperature, air, daily maximum; Temperature, air, daily mean; Temperature, air, daily minimum; Temperature, soil, daily mean; weather data; weather station; Weather station/meteorological observation; Weather Station ID 1; Weather Station ID 113; Weather Station ID 136; Weather Station ID 55; Weather Station ID 56; Wind direction, daily mean; Wind speed, daily mean; Wind vane; WST
    Type: Dataset
    Format: text/tab-separated-values, 218322 data points
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