| dc.description.abstract | This research is an early step to determine the location of rain gauge station for artificial neural network
modeling. The implementation of this model is very useful for water quality monitoring. The objectives of this study are:
1) to study the distribution of watershed parameter, that are average annual precipitation, land use and land-surface
slope, 2) to conduct vulnerability analysis of watershed contamination, 3) to determine the location of rain gauge
station.
The study was performed by weighing and rating method of watershed parameters. The vulnerability degree of
watershedtocontaminationispresentedasvulnerabilityindex.Thisindexisdeterminedbyoverallsumofallmultiplication
between score and weigh number of each parameter. All data manipulation and data analysis were performed by using
Geographic Information System (ArcView version by 3.2). The vulnerability of watershed contamination map had
been generated using overlay operation of parameters.
The results show that vulnerability index are varies between 10 up to 40 intervals. Hence, the indexes were
categorized into three levels of watershed vulnerability, namely low (10 – 20), moderate (20 – 30) and high (30 –
40). It is found that the study area covered more by high vulnerability of watershed to contamination. The zoning of
watershed vulnerability meant to determine the rain gauge location. There are three rain gauge stations on the area that
they are in a high vulnerability level, whereas the other vulnerability level area has one rain gauge station. Each level of
vulnerability area is able to represent the source of contaminant that it maybe influence the water quality of Gajahwong
river. | en_US |
