• Title/Summary/Keyword: erosion prone map

Search Result 3, Processing Time 0.019 seconds

Spatial Modeling of Erosion Prone Areas Using GIS -Focused on the Moyar Sub-Watershed of Western Ghats, India-

  • Malini, Ponnusamy;Park, Ki-Youn;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.16 no.3
    • /
    • pp.59-64
    • /
    • 2008
  • Soil erosion is a major problem in the case of forests in hilly terrains. Soil erosion removes the fertile topsoil, making unsuitable for growth and establishment of vegetation. In the present study, erosion prone areas in a forest region situated in the Moyar sub-watershed of Western ghats was identified using GIS with data collected from India. The thematic layers such as forest cover, slope and drainage density were used for analysis. In the erosion prone map, majority of area (48%) was under medium category, and about 35% of area was under high erosion prone category. Very high erosion prone category occupied 7% of the forest area. This erosion prone map would be an ideal spatial data to take up necessary management actions at appropriate places in this watershed to prevent erosion.

  • PDF

IDENTIFICATION OF EROSION PRONE FOREST AREA - A REMOTE SENSING AND GIS APPROACH

  • Jayakumar, S.;Lee, Jung-Bin;Enkhbaatar, Lkhagva;Heo, Joon
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
    • /
    • 2008.10a
    • /
    • pp.251-253
    • /
    • 2008
  • Erosion and landslide cause serious damage to forest areas. As a consequence, partial or complete destruction of vegetation occurs, which leads to many cascading problems. In this study, an attempt has been made to identify the forest areas, which are under different risk categories of erosion and landslide, in part of Eastern Ghats of Tamil Nadu. Relevantthematic maps were generated from satellite data, topographical maps, primary and secondary data and weights to each map were assigned appropriately. Weighted overlay analysis was carried out to identify the erosionprone forest areas. The result of erosion and landslide prone model reveals that 4712 ha(17%) of forest area is under high risk category and 15879 ha(58.65%) isunder medium risk category. The results of spatial modeling would be very much useful to the forest officials and conservationist to plan for effective conservation.

  • PDF

Characteristic Analysis and Prediction of Debris Flow-Prone Area at Daeryongsan (대룡산 토석류 특성 분석 및 위험지역 예측에 관한 연구)

  • CHOI, Young-Nam;LEE, Hyung-Ho;YOO, Nam-Jae
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.21 no.3
    • /
    • pp.48-62
    • /
    • 2018
  • In this study, landslide of debris flow occurred at 51 sites around Daeryounsan located in between Chuncheon-si and Hongcheon-gun during July in 2013 were investigated in field and behavior characteristics of debris flow were analyzed on the basis of records of rainfall and site investigation. According to debris flow types of channelized and hill slope, location and slope angle of initiation and deposit zone, and width and depth of erosion were investigated along entire runout of debris flow. DEM(Digital Elevation Model) of Daeryounsan was constructed with digital map of 1:5,000 scale. Land slide hazard was estimated using SINMAP(Stability INdex MAPping) and the predicted results were compared with field sites where debris flow occurred. As analyzed results, for hill slope type of debris flow, predicted sites were quite comparable to actual sites. On the other hand, for channelized type of debris flow, debris flow occurrence sites were predicted by using stability index associated with topographic wetness index. As analyzed results of 4 different conditions with the parameter T/R, Hydraulic transmissivity/Effective recharge rate, proposed by NRCS (Natual Resources Conservation Service), predicted results showed more or less different actual sites and the degree of hazard tended to increase with decrease of T/R value.