rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Sensitivity of soil loss equations to slope classifications
  name:
    name part: Chen, Hong-Wen
    name part: 1959-
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 1995
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    form: remote
    extent: xii, 79 leaves : illustrations, maps ; 28 cm.
  abstract: also developed to offer users a complete tool set. A new
  abstract: analyzed. This analysis indicates that a coaser
  abstract: and climatic factors have direct effects on soil loss. Slope
  abstract: based on each HRU. RUSLE and MUSLE models were integrated
  abstract: classification scheme had higher soil loss prediction.
  abstract: classified using three different schemes and inputted into
  abstract: developed in this study. This procedure calculated the slope
  abstract: Empirical erosion models are often used to estimate the soil
  abstract: equation (RUSLE) predicts the annual average soil erosion.
  abstract: erosion and sediment yield. Revised universal soil loss
  abstract: experiment units in this study. Soil erosions were predicted
  abstract: features that affect soil loss. Classifying slope gradient
  abstract: GIS to decompose watershed into hydrologic response units.
  abstract: gradient and slope length are two most important topographic
  abstract: length of each HRU and could compensate the deficiencies of
  abstract: Model predictions were made for each classification scheme.
  abstract: models (RUSLE and MUSLE) vary when different criteria are
  abstract: Modified universal soil loss equation (MUSLE) predicts
  abstract: parameters and integrate soil loss equations with GIS are
  abstract: predictions. This thesis studied how the predictions of
  abstract: previous methods.
  abstract: previous watershed erosion studies. HRU were used as the
  abstract: procedure using the flowlength function of GIS was also
  abstract: Procedures to develop hydrologic response units, model input
  abstract: provide a better consideration of spatial variability of the
  abstract: sediment yield on a storm event base. The land attributes
  abstract: soil erosion processes. HRU were used as analysis windows in
  abstract: such as topographic features, soil types, vegetation covers
  abstract: The resulting three different sets of predictions were
  abstract: used to classified the slope gradients. Decomposing a
  abstract: Water erosion is a major cause of watershed degradation.
  abstract: watershed into a set of hydrological response units (HRU) can
  abstract: with a geographic information system (GIS). Slope was
  abstract: with different criteria may lead to different model
  note: by Hong-Wen Chen.
  note: "Major subject: Rangeland Ecology and Management".
  note: Vita.
  note: Also available online.
  note: Issued also on microfiche from Lange Micrographics.
  note: M.S. Texas A&M University 1995.
  note: Includes bibliographical references.
  subject:
    topic: Major rangeland ecology and management
  identifier: https://hdl.handle.net/1969.1/ETD-TAMU-1995-THESIS-C4534
  related item:
    location:
      url: https://hdl.handle.net/1969.1/ETD-TAMU-1995-THESIS-C4534
  record info:
    record content source: TXA
    record creation date: 960719
    record change date: 20220103113856.0
    record identifier: in00001302661