TY - JOUR
T1 - Re-assessing Rainwater Harvesting Volume by CHIRPS Satellite in Semarang Settlement Area
AU - Prihanto, Yosef
AU - Koestoer, Raldi H.
AU - Sutjiningsih, Dwita
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/12/20
Y1 - 2017/12/20
N2 - Semarang City is one of the most influential coastal cities in Java Island. The city is facing increasingly-high water demand due to its development and water problems due to climate change. The spatial physiography and landscape of Semarang City are also exposed the city to water security problem. Hence, rainwater harvesting treatment is an urgent effort to meet the city's water needs. However, planning, implementation and management of rainwater harvesting are highly depended on multitemporal rainfall data. It has not yet been fully compiled due to limited rain stations. This study aims to examine the extent to which CHIRPS satellite data can be utilized in estimating volume of rainwater harvesting 16 sub-districts in Semarang and determine the water security status. This study uses descriptive statistical method based on spatial analyses. Such method was developed through spatial modeling for rainfall using isohyetal model. The parameters used are rainfall, residential rooftop area, administrative area, population, physiographic and altitude units. Validation is carried out by using monthly 10 rain stations data. The results show level of validity by utilizing CHIRPS Satellite data and mapping rainfall distribution. This study also produces a potential map of distribution rainfall volume that can be harvested in 16 sub-districts of Semarang.
AB - Semarang City is one of the most influential coastal cities in Java Island. The city is facing increasingly-high water demand due to its development and water problems due to climate change. The spatial physiography and landscape of Semarang City are also exposed the city to water security problem. Hence, rainwater harvesting treatment is an urgent effort to meet the city's water needs. However, planning, implementation and management of rainwater harvesting are highly depended on multitemporal rainfall data. It has not yet been fully compiled due to limited rain stations. This study aims to examine the extent to which CHIRPS satellite data can be utilized in estimating volume of rainwater harvesting 16 sub-districts in Semarang and determine the water security status. This study uses descriptive statistical method based on spatial analyses. Such method was developed through spatial modeling for rainfall using isohyetal model. The parameters used are rainfall, residential rooftop area, administrative area, population, physiographic and altitude units. Validation is carried out by using monthly 10 rain stations data. The results show level of validity by utilizing CHIRPS Satellite data and mapping rainfall distribution. This study also produces a potential map of distribution rainfall volume that can be harvested in 16 sub-districts of Semarang.
KW - CHIRPS
KW - Isohyetal
KW - Rainwater Harvesting
KW - Spatial
KW - Urban
UR - http://www.scopus.com/inward/record.url?scp=85039421652&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/98/1/012004
DO - 10.1088/1755-1315/98/1/012004
M3 - Conference article
AN - SCOPUS:85039421652
SN - 1755-1307
VL - 98
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012004
T2 - 5th Geoinformation Science Symposium 2017, GSS 2017
Y2 - 27 September 2017 through 28 September 2017
ER -
