| Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
|---|---|---|
| Article Number | 04011 | |
| Number of page(s) | 6 | |
| Section | Environmental Conservation | |
| DOI | https://doi.org/10.1051/e3sconf/20187304011 | |
| Published online | 21 December 2018 | |
Distribution Pattern of Cave Entrance Based on Morphometry in Gunung Sewu Karst Landscape
1 Bachelor Program of Geography; Faculty of Mathematics and Natural Sciences; Universitas Indonesia ; Depok - Indonesia
2 Department of Geography; Faculty of Mathematics and Natural Sciences; Universitas Indonesia ; Depok - Indonesia
* Corresponding author: astrid.damayanti@sci.ui.ac.id
Wonosari-Punung Formation of Middle Miocene-Pliocene and Semilir Formation of Early-Middle Miocene consists of Gunung Sewu Karst Landscape in Ponjong and Semanu District; Gunungkidul Regency. Gunung Sewu Karst Landscape has advanced karstification so that the morphology of exokarst and endokarst could be formed. Cave entrance as a marker of the endokarst morphology existence is formed by varying morphometry. This research aims to determine cave entrance distribution pattern based on a cave entrance morphometry. These research variables are cave entrance morphometry; geological formation; and geological structure (geological lineament). The analytical method uses nearest neighbour analysis (NNA) and lineament analysis. The result of this research shows that vertical cave entrance with oval; narrow; and irregularity shape have dispersed distribution pattern in Wonosari-Punung Formation. Horizontal cave entrance with irregular; rectangular; narrow; and an oval shape; have clustered pattern of distribution in the Wonosari-Punung and Semilir Formations. This research is used as a preliminary study for the development of underground water resources that are commonly found in caves of Gunung Sewu Karst Landscape.
Key words: cave entrance / distribution pattern / lineament analysis / morphometry / nearest neighbour analysis
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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