CHARACTERIZATION AND EFFECTIVITY STUDY FOR RAIN GAUGE IN COAL MINE AREA
Hydrological data is a primary need for mining companies. This is to address problems related to decreased efficiency and productivity of workers and tools, stagnant work fronts, slope instability, to acidic water mines.. To solve this problem, a good surface water or rainwater treatment plan is...
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| Format: | Final Project |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/51624 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Hydrological data is a primary need for mining companies. This is to address problems related
to decreased efficiency and productivity of workers and tools, stagnant work fronts, slope
instability, to acidic water mines.. To solve this problem, a good surface water or rainwater
treatment plan is needed by utilizing hydrological data in an effective, efficient, and target based.
The hydrological data from 15 rain gauge and 2 weather stations owned by PT KPC can provide
more detailed information about the characteristics of rain gauge, but on the other hand it is
necessary to know the most optimum number of gauge. Therefore, this research will conduct
temporal characterization of rainfall based on the rainfall data of PT Kaltim Prima Coal in 2013-
2019 and continued by analyzing the effectiveness of the rain gauge network. For the temporal
characteristics of rainfall, the average rainfall and trends in annual rainfall and maximum daily
rainfall will be analyzed from the existing data. After that, we will look at relationship between
characteristics and wind movement at PT KPC which is plotted into the windrose diagram. Wind
movements throughout the year are dominated by the NW or northwest direction. The temporal
characteristics of rainfall produce equatorial rainfall patterns for each cluster with the discovery
of shifts in wet and dry months in each cluster. Based on the annual rainfall trend and the
maximum daily rainfall is experiencing a downward trend. The rainfall distribution in Sangatta
sequentially from largest to smallest is Cluster 2, Cluster 1, Cluster 3, Cluster 4. The distribution
of the wettest month and the driest month in each cluster varies. The degree of seasonality in
Sangatta area is 1.69. The temporal characteristics of rainfall in Sangatta are largely influenced
by the local factors but still in tune with the regional climate of East Kalimantan. After
characterizing, a correlation and rationalization test will be carried out using the Kagan-Rodda
Method to determine the gauge that represent each region. The correlation coefficient between
rain gauge in the same cluster gives results between 0.75-1 which means that they are strongly
and unidirectional. Rain station recommendations based on the Kagan-Rodda Method give the
result that 1 additional rain gauge needed for Cluster 1, Cluster 2 only requires 4 gauge, and
Cluster 3 only requires 2 gauge. |
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