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Monthly Dynamic Groundwater Estimation using GRACE over Indonesia

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@article{IJASEIT14734,
   author = {Atriyon Julzarika and Jalu Tejo Nugroho},
   title = {Monthly Dynamic Groundwater Estimation using GRACE over Indonesia},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {12},
   number = {3},
   year = {2022},
   pages = {1113--1119},
   keywords = {GRACE; groundwater; Indonesia; drought.},
   abstract = {Indonesia is an archipelago with tropical climatic conditions, and part of it has arid areas. Monitoring groundwater dynamics effectively and efficiently is one of the challenges in a large area. GRACE is the Geodesy satellite that collects the sub-surface data. GRACE data is one of the gravity anomaly data that can be used for groundwater dynamics detection. Monthly groundwater monitoring can be used to determine the dynamic pattern of terrestrial water storage. It can be used as a parameter for the detection and prediction of drought in a large area. This study aims to model Indonesia's monthly groundwater levels based on gravity anomaly with GRACE satellite data. Anomaly gravity in GRACE's data is the main parameter in monitoring groundwater dynamics. Based on the results of monitoring during January-December 2020, three groundwater conditions were obtained in Indonesia. These conditions always have high groundwater potential, areas with diverse groundwater dynamics, and low groundwater areas. This low groundwater condition occurs in arid areas. The dynamic groundwater pattern occurred in the same month and had a similar pattern every season observed from 2002-2020. For example, the East Nusa Tenggara region has nine months of low groundwater potential. The potential and prediction of drought can be anticipated following the results of monitoring groundwater dynamics. Monitoring and predicting drought by predicting groundwater dynamics using GRACE's data can be an efficient and effective alternative for mapping, especially in Indonesia's vast and water-dominated territory.},
   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=14734},
   doi = {10.18517/ijaseit.12.3.14734}
}

EndNote

%A Julzarika, Atriyon
%A Nugroho, Jalu Tejo
%D 2022
%T Monthly Dynamic Groundwater Estimation using GRACE over Indonesia
%B 2022
%9 GRACE; groundwater; Indonesia; drought.
%! Monthly Dynamic Groundwater Estimation using GRACE over Indonesia
%K GRACE; groundwater; Indonesia; drought.
%X Indonesia is an archipelago with tropical climatic conditions, and part of it has arid areas. Monitoring groundwater dynamics effectively and efficiently is one of the challenges in a large area. GRACE is the Geodesy satellite that collects the sub-surface data. GRACE data is one of the gravity anomaly data that can be used for groundwater dynamics detection. Monthly groundwater monitoring can be used to determine the dynamic pattern of terrestrial water storage. It can be used as a parameter for the detection and prediction of drought in a large area. This study aims to model Indonesia's monthly groundwater levels based on gravity anomaly with GRACE satellite data. Anomaly gravity in GRACE's data is the main parameter in monitoring groundwater dynamics. Based on the results of monitoring during January-December 2020, three groundwater conditions were obtained in Indonesia. These conditions always have high groundwater potential, areas with diverse groundwater dynamics, and low groundwater areas. This low groundwater condition occurs in arid areas. The dynamic groundwater pattern occurred in the same month and had a similar pattern every season observed from 2002-2020. For example, the East Nusa Tenggara region has nine months of low groundwater potential. The potential and prediction of drought can be anticipated following the results of monitoring groundwater dynamics. Monitoring and predicting drought by predicting groundwater dynamics using GRACE's data can be an efficient and effective alternative for mapping, especially in Indonesia's vast and water-dominated territory.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14734
%R doi:10.18517/ijaseit.12.3.14734
%J International Journal on Advanced Science, Engineering and Information Technology
%V 12
%N 3
%@ 2088-5334

IEEE

Atriyon Julzarika and Jalu Tejo Nugroho,"Monthly Dynamic Groundwater Estimation using GRACE over Indonesia," International Journal on Advanced Science, Engineering and Information Technology, vol. 12, no. 3, pp. 1113-1119, 2022. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.12.3.14734.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Julzarika, Atriyon
AU  - Nugroho, Jalu Tejo
PY  - 2022
TI  - Monthly Dynamic Groundwater Estimation using GRACE over Indonesia
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 12 (2022) No. 3
Y2  - 2022
SP  - 1113
EP  - 1119
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - GRACE; groundwater; Indonesia; drought.
N2  - Indonesia is an archipelago with tropical climatic conditions, and part of it has arid areas. Monitoring groundwater dynamics effectively and efficiently is one of the challenges in a large area. GRACE is the Geodesy satellite that collects the sub-surface data. GRACE data is one of the gravity anomaly data that can be used for groundwater dynamics detection. Monthly groundwater monitoring can be used to determine the dynamic pattern of terrestrial water storage. It can be used as a parameter for the detection and prediction of drought in a large area. This study aims to model Indonesia's monthly groundwater levels based on gravity anomaly with GRACE satellite data. Anomaly gravity in GRACE's data is the main parameter in monitoring groundwater dynamics. Based on the results of monitoring during January-December 2020, three groundwater conditions were obtained in Indonesia. These conditions always have high groundwater potential, areas with diverse groundwater dynamics, and low groundwater areas. This low groundwater condition occurs in arid areas. The dynamic groundwater pattern occurred in the same month and had a similar pattern every season observed from 2002-2020. For example, the East Nusa Tenggara region has nine months of low groundwater potential. The potential and prediction of drought can be anticipated following the results of monitoring groundwater dynamics. Monitoring and predicting drought by predicting groundwater dynamics using GRACE's data can be an efficient and effective alternative for mapping, especially in Indonesia's vast and water-dominated territory.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14734
DO  - 10.18517/ijaseit.12.3.14734

RefWorks

RT Journal Article
ID 14734
A1 Julzarika, Atriyon
A1 Nugroho, Jalu Tejo
T1 Monthly Dynamic Groundwater Estimation using GRACE over Indonesia
JF International Journal on Advanced Science, Engineering and Information Technology
VO 12
IS 3
YR 2022
SP 1113
OP 1119
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 GRACE; groundwater; Indonesia; drought.
AB Indonesia is an archipelago with tropical climatic conditions, and part of it has arid areas. Monitoring groundwater dynamics effectively and efficiently is one of the challenges in a large area. GRACE is the Geodesy satellite that collects the sub-surface data. GRACE data is one of the gravity anomaly data that can be used for groundwater dynamics detection. Monthly groundwater monitoring can be used to determine the dynamic pattern of terrestrial water storage. It can be used as a parameter for the detection and prediction of drought in a large area. This study aims to model Indonesia's monthly groundwater levels based on gravity anomaly with GRACE satellite data. Anomaly gravity in GRACE's data is the main parameter in monitoring groundwater dynamics. Based on the results of monitoring during January-December 2020, three groundwater conditions were obtained in Indonesia. These conditions always have high groundwater potential, areas with diverse groundwater dynamics, and low groundwater areas. This low groundwater condition occurs in arid areas. The dynamic groundwater pattern occurred in the same month and had a similar pattern every season observed from 2002-2020. For example, the East Nusa Tenggara region has nine months of low groundwater potential. The potential and prediction of drought can be anticipated following the results of monitoring groundwater dynamics. Monitoring and predicting drought by predicting groundwater dynamics using GRACE's data can be an efficient and effective alternative for mapping, especially in Indonesia's vast and water-dominated territory.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14734
DO  - 10.18517/ijaseit.12.3.14734