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Aijun Ding - One of the best experts on this subject based on the ideXlab platform.

  • Biomass-burning-induced surface darkening and its impact on regional meteorology in eastern China
    Atmospheric Chemistry and Physics, 2020
    Co-Authors: Rong Tang, Xin Huang, Derong Zhou, Aijun Ding
    Abstract:

    Abstract. Biomass burning has attracted great concerns for the emission of particular matters and trace gases, which substantially impacts air quality, human health, and climate change. Meanwhile, large areas of dark char, carbon residue produced in incomplete combustion, can stick to the surface over fire-prone areas after open burning, leading to a sharp drop in surface albedo, so-called “surface darkening”. However, exploration into such surface albedo declines and the radiative and meteorological effects is still fairly limited. As one of the highest-Yield Agricultural areas, eastern China features intensive straw burning every early summer, the harvest season for winter wheat, which was particularly strong in 2012. Satellite retrievals show that the surface albedo decline over fire-prone areas was significant, especially in the near-infrared band, which can reach −0.16 . Observational evidence of abnormal surface warming was found by comparing radiosonde and reanalysis data. Most sites around intensive burned scars show a positive deviation, extending especially in the downwind area. Comparisons between “pre-fire” and “post-fire” from 2007 to 2015 indicated a larger temperature bias of the forecast during the post-fire stage. The signal becomes more apparent between 14:00 and 20:00 LT. Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) simulations suggest that including surface darkening can decrease model bias and well-captured temperature variation after burning at sites in fire areas and their adjacent area. This work highlights the importance of biomass burning induced albedo change in weather forecast and regional climate.

  • Biomass burning induced surface darkening and its impact on regional meteorology in eastern China
    2019
    Co-Authors: Rong Tang, Xin Huang, Derong Zhou, Aijun Ding
    Abstract:

    Abstract. Biomass burning has attracted great concerns for the emission of particular matters and trace gases, which substantially impact air quality, human health and climate change. Meanwhile, large areas of dark char, carbon residue produced in incomplete combustion, can stick to the surface over fire prone areas after open burning, leading to a sharp drop in surface albedo, so-called surface darkening. However, exploration into such decrease in albedo and its radiative and meteorological effects is still fairly limited. As one of the most high-Yield Agricultural areas, eastern China features straw burning every early summer, the harvest season for winter wheat, which was particularly strong in 2012. Satellite retrievals shows that surface albedo was significantly decreased (up to − 0.16 decrease in the near-infrared broadband). Observational evidences of abnormal surface warming were found by comparing radiosonde and reanalysis data. Most sites around intensive burned scars, especially in the downwind direction shows a positive deviation. Comparisons between pre-fire and post-fire from 2007 to 2015 indicated a larger temperature bias of the forecast during post-fire stage. The signal is more obvious in the later afternoon. WRF-Chem simulations suggest that including surface darkening can decrease model bias and well captured temperature variation after burning at sites in fire areas and its adjacent area. This work highlights the importance of biomass burning induced albedo change in weather forecast and regional climate.

Thomas Schmid - One of the best experts on this subject based on the ideXlab platform.

  • IGARSS - Multisensor approach to assess soil degradation stages in semi-arid soils (Spain)
    2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
    Co-Authors: J. Gumuzzio, Magaly Koch, Thomas Schmid
    Abstract:

    Soils in semi-arid regions of Spain are especially susceptible to soil degradation processes due to natural as well as human-induced land use/cover changes. The result is a decline in the capacity of the soil to perform environmental regulatory functions and Yield Agricultural goods. A multisensor and multiscale approach is presented in this work to assess soil degradation stages. The approach consists of (1) obtaining detailed information from field and imaging spectroscopy data, soil analyses, field survey observations, topographic information and ancillary data from selected test plots of soils, (2) use this information (i.e., hyperspectral images and site specific spectral library) to derive endmembers representing soil degradation characteristics, and (3) implement high resolution information on soil types and conditions into medium resolution (multispectral) data covering a wider area. Soil degradation stages are successfully determined by relating spectral variations of the soil surface features to differences in the mineralogical composition as well as physical and chemical soil properties.

  • FIELD AND IMAGING SPECTROSCOPY TO DETERMINE SOIL DEGRADATION STAGES IN SEMI-ARID TERRESTRIAL ECOSYSTEMS
    2005
    Co-Authors: Thomas Schmid, J. Gumuzzio, Magaly Koch, Isaac Medel
    Abstract:

    Soil degradation implies a decline in the capacity of the soil to perform environmental regulatory functions and Yield Agricultural goods. Soils are affected by regressive and/or degradative evolution processes as a result of natural causes as well as anthropogenic influences in semi-arid regions such as Central Spain. The main aim of this work is to evaluate the capacity of hyperspectral HyMap data to identify soil degradation stages applying field and imaging spectroscopy data from selected test plots with soils under semi-arid conditions applying a GIS support. This work has included data from hyperspectral airborne data, field spectrometry, soil analyses, cartographic and ancillary data. The methodology adopted in this work was to determine degradation stages by identifying selected soil types as endmembers from HyMap data. Spectral field data together with soil analyses was used to identify and verify the endmembers. The Spectral Angle Mapper procedure was used to determine the distribution of the selected soils within the hyperspectral data. A GIS analyses was implemented to derive terrain properties related to soil degradation stages. The spatial distributions of the individual soil surface conditions were verified according to field and cartographic surveys. Results have shown that the spectral variations of the soil surface features were satisfactorily related to differences in the spectral characteristics that were influenced by the mineralogical composition as well as physical and chemical soil properties. The identification and spatial distribution of semi-arid soils within the study area was successfully carried out with the HyMap data. The further incorporation of soil and landscape characteristics permitted to differentiate soil degradation stages.

Rong Tang - One of the best experts on this subject based on the ideXlab platform.

  • Biomass-burning-induced surface darkening and its impact on regional meteorology in eastern China
    Atmospheric Chemistry and Physics, 2020
    Co-Authors: Rong Tang, Xin Huang, Derong Zhou, Aijun Ding
    Abstract:

    Abstract. Biomass burning has attracted great concerns for the emission of particular matters and trace gases, which substantially impacts air quality, human health, and climate change. Meanwhile, large areas of dark char, carbon residue produced in incomplete combustion, can stick to the surface over fire-prone areas after open burning, leading to a sharp drop in surface albedo, so-called “surface darkening”. However, exploration into such surface albedo declines and the radiative and meteorological effects is still fairly limited. As one of the highest-Yield Agricultural areas, eastern China features intensive straw burning every early summer, the harvest season for winter wheat, which was particularly strong in 2012. Satellite retrievals show that the surface albedo decline over fire-prone areas was significant, especially in the near-infrared band, which can reach −0.16 . Observational evidence of abnormal surface warming was found by comparing radiosonde and reanalysis data. Most sites around intensive burned scars show a positive deviation, extending especially in the downwind area. Comparisons between “pre-fire” and “post-fire” from 2007 to 2015 indicated a larger temperature bias of the forecast during the post-fire stage. The signal becomes more apparent between 14:00 and 20:00 LT. Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) simulations suggest that including surface darkening can decrease model bias and well-captured temperature variation after burning at sites in fire areas and their adjacent area. This work highlights the importance of biomass burning induced albedo change in weather forecast and regional climate.

  • Biomass burning induced surface darkening and its impact on regional meteorology in eastern China
    2019
    Co-Authors: Rong Tang, Xin Huang, Derong Zhou, Aijun Ding
    Abstract:

    Abstract. Biomass burning has attracted great concerns for the emission of particular matters and trace gases, which substantially impact air quality, human health and climate change. Meanwhile, large areas of dark char, carbon residue produced in incomplete combustion, can stick to the surface over fire prone areas after open burning, leading to a sharp drop in surface albedo, so-called surface darkening. However, exploration into such decrease in albedo and its radiative and meteorological effects is still fairly limited. As one of the most high-Yield Agricultural areas, eastern China features straw burning every early summer, the harvest season for winter wheat, which was particularly strong in 2012. Satellite retrievals shows that surface albedo was significantly decreased (up to − 0.16 decrease in the near-infrared broadband). Observational evidences of abnormal surface warming were found by comparing radiosonde and reanalysis data. Most sites around intensive burned scars, especially in the downwind direction shows a positive deviation. Comparisons between pre-fire and post-fire from 2007 to 2015 indicated a larger temperature bias of the forecast during post-fire stage. The signal is more obvious in the later afternoon. WRF-Chem simulations suggest that including surface darkening can decrease model bias and well captured temperature variation after burning at sites in fire areas and its adjacent area. This work highlights the importance of biomass burning induced albedo change in weather forecast and regional climate.

C Lorz - One of the best experts on this subject based on the ideXlab platform.

  • Sediments in urban river basins: identification of sediment sources within the Lago Paranoá catchment, Brasilia DF, Brazil - using the fingerprint approach.
    The Science of the total environment, 2013
    Co-Authors: C Franz, F Makeschin, H Weiß, C Lorz
    Abstract:

    The development of effective sediment management strategies is a key requirement in tropical areas with fast urban development, like Brasilia DF, Brazil, because of the limited resources available. Accurate identification and management of sediment sources areas, however, is hampered by the dearth of reliable information on the primary sources of sediment. Few studies have attempted to quantify the source of sediment within fast urbanizing, mixed used, tropical catchments. In this study, statistically verified composite fingerprints and a multivariate mixing model have been used to identify the main land use specific sources of sediment deposited in the artificial Lago Paranoá, Central Brazil. Because of the variability of urban land use types within the Lago Paranoá sub-catchments, the fingerprinting approach was additionally undertaking for the Riacho Fundo sub-catchment. The main contributions from individual source types (i.e. surface materials from residential areas, constructions sites, road deposited sediment, cultivated areas, pasture, farm tracks, woodland and natural gullies) varied between the whole catchment and the Riacho Fundo sub-catchment, reflecting the different proportions of land uses. The sediments deposited in the silting zones of the Lago Paranoá originate largely from urban sources (85 ± 4%). Areas with (semi-) natural vegetation and natural gullies contribute 10 ± 2% of the sediment Yield. Agricultural sites have only a minor sediment contribution of about 5 ± 4% within the whole catchment. Within the Riacho Fundo sub-catchment there is a significant contribution from urban (53 ± 4%) source, such as residential areas with semi-detached housings (42 ± 3%) with unpaved roads (12 ± 3%) and construction sites (20 ± 3%) and Agricultural areas (31 ± 2%). The relative contribution from land use specific sources to the sediment deposition in the silting zone of the Lago Paranoá demonstrated that most of the sediment is derived from sites with high anthropogenic impact.

J. Gumuzzio - One of the best experts on this subject based on the ideXlab platform.

  • IGARSS - Multisensor approach to assess soil degradation stages in semi-arid soils (Spain)
    2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
    Co-Authors: J. Gumuzzio, Magaly Koch, Thomas Schmid
    Abstract:

    Soils in semi-arid regions of Spain are especially susceptible to soil degradation processes due to natural as well as human-induced land use/cover changes. The result is a decline in the capacity of the soil to perform environmental regulatory functions and Yield Agricultural goods. A multisensor and multiscale approach is presented in this work to assess soil degradation stages. The approach consists of (1) obtaining detailed information from field and imaging spectroscopy data, soil analyses, field survey observations, topographic information and ancillary data from selected test plots of soils, (2) use this information (i.e., hyperspectral images and site specific spectral library) to derive endmembers representing soil degradation characteristics, and (3) implement high resolution information on soil types and conditions into medium resolution (multispectral) data covering a wider area. Soil degradation stages are successfully determined by relating spectral variations of the soil surface features to differences in the mineralogical composition as well as physical and chemical soil properties.

  • FIELD AND IMAGING SPECTROSCOPY TO DETERMINE SOIL DEGRADATION STAGES IN SEMI-ARID TERRESTRIAL ECOSYSTEMS
    2005
    Co-Authors: Thomas Schmid, J. Gumuzzio, Magaly Koch, Isaac Medel
    Abstract:

    Soil degradation implies a decline in the capacity of the soil to perform environmental regulatory functions and Yield Agricultural goods. Soils are affected by regressive and/or degradative evolution processes as a result of natural causes as well as anthropogenic influences in semi-arid regions such as Central Spain. The main aim of this work is to evaluate the capacity of hyperspectral HyMap data to identify soil degradation stages applying field and imaging spectroscopy data from selected test plots with soils under semi-arid conditions applying a GIS support. This work has included data from hyperspectral airborne data, field spectrometry, soil analyses, cartographic and ancillary data. The methodology adopted in this work was to determine degradation stages by identifying selected soil types as endmembers from HyMap data. Spectral field data together with soil analyses was used to identify and verify the endmembers. The Spectral Angle Mapper procedure was used to determine the distribution of the selected soils within the hyperspectral data. A GIS analyses was implemented to derive terrain properties related to soil degradation stages. The spatial distributions of the individual soil surface conditions were verified according to field and cartographic surveys. Results have shown that the spectral variations of the soil surface features were satisfactorily related to differences in the spectral characteristics that were influenced by the mineralogical composition as well as physical and chemical soil properties. The identification and spatial distribution of semi-arid soils within the study area was successfully carried out with the HyMap data. The further incorporation of soil and landscape characteristics permitted to differentiate soil degradation stages.