POLA PERSEBARAN KERUANGAN EROSI PERMUKAAN SEBAGAI RESPON LAHAN TERHADAP HUJAN DI DAERAH ALIRAN SUNGAI SECANG, KABUPATEN KULONPROGO, DAERAH ISTIMEWA YOGYAKARTA INDONESIA
This dissertation is entitled with the �Spatial ditribution patterns of the surface erosion as respond of lands to the rain fall in Secang catchment area, Kulonprogo District, Yogyakarta Special Region, Indonesia. The aims of the research are 1). to study the rain and land parameters which are rel...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/99013/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=54626 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | This dissertation is entitled with the �Spatial ditribution patterns of the
surface erosion as respond of lands to the rain fall in Secang catchment area,
Kulonprogo District, Yogyakarta Special Region, Indonesia. The aims of the
research are 1). to study the rain and land parameters which are relevant as
factors that act as predictor to the distant differences of starting locations of
overland flow (JLP) as well as surface erosion (JEP), and starting periode of
overland flow occurences (WEP) as well as starting periode of surface erosion
(WEP), 2). to determine the greatest influence of once among the parameters of
the land and rain on the difference of JLP and JEP, as well as WLP and WEP of
the land, and 3). to analyse the spatial distribution patterns of those starting
locations of JLP and JEP occurences measured from the hilly ridge of land.
Survey method was used in this study to collect primary data, these are:
soil humidity, soil permeability, soil texture, soil depth, and soil organic matter
content, slope, tree height, land cover density, and rainfall intensity as the out
proposed independent variables, as well as data of JLP, JEP, WLP and WEP as
the dependent variables. Processing and data analysis using statistical analysis
with multiple linear regression equation approach.
The results showed that 1). Not all the parameters of the land and the rain were
accepted as independent variables that effect to the JLP, JEP, WLP and WEP in
multiple linear regression equation. The 9 (nine) parameters of the proposed land
and rain, only 7 (seven) parameters are accepted as independent variables
against the JLP |
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