BibTeX
@article{IJASEIT6743,
author = {Heri Andreas and Dina A Sarsito and Angga Trysa Yuherdha and Dhota Pradipta},
title = {Urgent Measure of Geospatial Parameters for Flood Modeling in Indonesia},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {10},
number = {1},
year = {2020},
pages = {227--233},
keywords = {flood; adaptation; mitigation; geospatial parameters.},
abstract = {Indonesia is prone to flood. Many areas including cities have a suffering flood in history until these recent days. Jakarta city, for example, had suffering flood since Dutch colonial time a few hundred years ago and even earlier until this recent year 2018. Besides Jakarta, Indonesia has other big cities like Bandung, Semarang, Surabaya and Medan which frequently suffered from the flood. Growing cities like Langsa, Pekanbaru, Palembang, Pamanukan, Garut, Cirebon, Pekalongan, Demak, Bojonegoro, Banjarmasin, Gorontalo, Bima are also suffering flood in almost regularly. The flood condition is different from time to time due to rain intensity and rivers capacity are leading to disaster. Low land areas such as coastal areas and peatland areas in many regions of Indonesia are experiencing the same disaster. Adaptation and mitigation should be taken against this flood disaster. In order to find the best adaptation and mitigation, first, we must understand the characteristic of the flood by creating flood models. Essential parameters of flood modeling would include geospatial parameters (e.g., Digital Elevation Model, Land use, and rivers geometry). Unfortunately for Indonesia's case, these geospatial parameters of the flood are still relatively weak. We can see that several flood models of Indonesia are in low accuracy spatially and temporarily. So, the measure of geospatial parameters is urgent. This paper will highlight this urgency.},
issn = {2088-5334},
publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6743},
doi = {10.18517/ijaseit.10.1.6743}
}
EndNote
%A Andreas, Heri
%A Sarsito, Dina A
%A Yuherdha, Angga Trysa
%A Pradipta, Dhota
%D 2020
%T Urgent Measure of Geospatial Parameters for Flood Modeling in Indonesia
%B 2020
%9 flood; adaptation; mitigation; geospatial parameters.
%! Urgent Measure of Geospatial Parameters for Flood Modeling in Indonesia
%K flood; adaptation; mitigation; geospatial parameters.
%X Indonesia is prone to flood. Many areas including cities have a suffering flood in history until these recent days. Jakarta city, for example, had suffering flood since Dutch colonial time a few hundred years ago and even earlier until this recent year 2018. Besides Jakarta, Indonesia has other big cities like Bandung, Semarang, Surabaya and Medan which frequently suffered from the flood. Growing cities like Langsa, Pekanbaru, Palembang, Pamanukan, Garut, Cirebon, Pekalongan, Demak, Bojonegoro, Banjarmasin, Gorontalo, Bima are also suffering flood in almost regularly. The flood condition is different from time to time due to rain intensity and rivers capacity are leading to disaster. Low land areas such as coastal areas and peatland areas in many regions of Indonesia are experiencing the same disaster. Adaptation and mitigation should be taken against this flood disaster. In order to find the best adaptation and mitigation, first, we must understand the characteristic of the flood by creating flood models. Essential parameters of flood modeling would include geospatial parameters (e.g., Digital Elevation Model, Land use, and rivers geometry). Unfortunately for Indonesia's case, these geospatial parameters of the flood are still relatively weak. We can see that several flood models of Indonesia are in low accuracy spatially and temporarily. So, the measure of geospatial parameters is urgent. This paper will highlight this urgency.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6743
%R doi:10.18517/ijaseit.10.1.6743
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 1
%@ 2088-5334
IEEE
Heri Andreas,Dina A Sarsito,Angga Trysa Yuherdha and Dhota Pradipta,"Urgent Measure of Geospatial Parameters for Flood Modeling in Indonesia," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 1, pp. 227-233, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.1.6743.
RefMan/ProCite (RIS)
TY - JOUR
AU - Andreas, Heri
AU - Sarsito, Dina A
AU - Yuherdha, Angga Trysa
AU - Pradipta, Dhota
PY - 2020
TI - Urgent Measure of Geospatial Parameters for Flood Modeling in Indonesia
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 1
Y2 - 2020
SP - 227
EP - 233
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - flood; adaptation; mitigation; geospatial parameters.
N2 - Indonesia is prone to flood. Many areas including cities have a suffering flood in history until these recent days. Jakarta city, for example, had suffering flood since Dutch colonial time a few hundred years ago and even earlier until this recent year 2018. Besides Jakarta, Indonesia has other big cities like Bandung, Semarang, Surabaya and Medan which frequently suffered from the flood. Growing cities like Langsa, Pekanbaru, Palembang, Pamanukan, Garut, Cirebon, Pekalongan, Demak, Bojonegoro, Banjarmasin, Gorontalo, Bima are also suffering flood in almost regularly. The flood condition is different from time to time due to rain intensity and rivers capacity are leading to disaster. Low land areas such as coastal areas and peatland areas in many regions of Indonesia are experiencing the same disaster. Adaptation and mitigation should be taken against this flood disaster. In order to find the best adaptation and mitigation, first, we must understand the characteristic of the flood by creating flood models. Essential parameters of flood modeling would include geospatial parameters (e.g., Digital Elevation Model, Land use, and rivers geometry). Unfortunately for Indonesia's case, these geospatial parameters of the flood are still relatively weak. We can see that several flood models of Indonesia are in low accuracy spatially and temporarily. So, the measure of geospatial parameters is urgent. This paper will highlight this urgency.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6743
DO - 10.18517/ijaseit.10.1.6743
RefWorks
RT Journal Article
ID 6743
A1 Andreas, Heri
A1 Sarsito, Dina A
A1 Yuherdha, Angga Trysa
A1 Pradipta, Dhota
T1 Urgent Measure of Geospatial Parameters for Flood Modeling in Indonesia
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 1
YR 2020
SP 227
OP 233
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 flood; adaptation; mitigation; geospatial parameters.
AB Indonesia is prone to flood. Many areas including cities have a suffering flood in history until these recent days. Jakarta city, for example, had suffering flood since Dutch colonial time a few hundred years ago and even earlier until this recent year 2018. Besides Jakarta, Indonesia has other big cities like Bandung, Semarang, Surabaya and Medan which frequently suffered from the flood. Growing cities like Langsa, Pekanbaru, Palembang, Pamanukan, Garut, Cirebon, Pekalongan, Demak, Bojonegoro, Banjarmasin, Gorontalo, Bima are also suffering flood in almost regularly. The flood condition is different from time to time due to rain intensity and rivers capacity are leading to disaster. Low land areas such as coastal areas and peatland areas in many regions of Indonesia are experiencing the same disaster. Adaptation and mitigation should be taken against this flood disaster. In order to find the best adaptation and mitigation, first, we must understand the characteristic of the flood by creating flood models. Essential parameters of flood modeling would include geospatial parameters (e.g., Digital Elevation Model, Land use, and rivers geometry). Unfortunately for Indonesia's case, these geospatial parameters of the flood are still relatively weak. We can see that several flood models of Indonesia are in low accuracy spatially and temporarily. So, the measure of geospatial parameters is urgent. This paper will highlight this urgency.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6743
DO - 10.18517/ijaseit.10.1.6743
