Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model
The number of tidal flood events has been increasing in Indonesia in the last decade, especially along the north coast of Java. Hydrodynamic models in combination with Geographic Information System applications are used to assess the impact of high tide events upon the salt production in Cirebon, We...
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doaj-e14d5f3996cd40b4a9b25ebdea55cb602020-11-25T02:22:58ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-10-0181045110.3390/ijgi8100451ijgi8100451Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic ModelAnang Widhi Nirwansyah0Boris Braun1Department of Geography, Universitas Muhammadiyah Purwokerto, Banyumas 53182, IndonesiaInstitute of Geography, University of Cologne, 50923 Cologne, GermanyThe number of tidal flood events has been increasing in Indonesia in the last decade, especially along the north coast of Java. Hydrodynamic models in combination with Geographic Information System applications are used to assess the impact of high tide events upon the salt production in Cirebon, West Java. Two major flood events in June 2016 and May 2018 were selected for the simulation within inputs of tidal height records, national seamless digital elevation dataset of Indonesia (DEMNAS), Indonesian gridded national bathymetry (BATNAS), and wind data from OGIMET. We used a finite method on MIKE 21 to determine peak water levels, and validation for the velocity component using TPXO9 and Tidal Model Driver (TMD). The benchmark of the inundation is taken from the maximum water level of the simulation. This study utilized ArcGIS for the spatial analysis of tidal flood distribution upon solar salt production area, particularly where the tides are dominated by local factors. The results indicated that during the peak events in June 2016 and May 2018, about 83% to 84% of salt ponds were being inundated, respectively. The accurate identification of flooded areas also provided valuable information for tidal flood assessment of marginal agriculture in data-scarce region.https://www.mdpi.com/2220-9964/8/10/451mapping impacttidal floodhydrodynamic modelsolar salt farming |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anang Widhi Nirwansyah Boris Braun |
spellingShingle |
Anang Widhi Nirwansyah Boris Braun Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model ISPRS International Journal of Geo-Information mapping impact tidal flood hydrodynamic model solar salt farming |
author_facet |
Anang Widhi Nirwansyah Boris Braun |
author_sort |
Anang Widhi Nirwansyah |
title |
Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model |
title_short |
Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model |
title_full |
Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model |
title_fullStr |
Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model |
title_full_unstemmed |
Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model |
title_sort |
mapping impact of tidal flooding on solar salt farming in northern java using a hydrodynamic model |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2019-10-01 |
description |
The number of tidal flood events has been increasing in Indonesia in the last decade, especially along the north coast of Java. Hydrodynamic models in combination with Geographic Information System applications are used to assess the impact of high tide events upon the salt production in Cirebon, West Java. Two major flood events in June 2016 and May 2018 were selected for the simulation within inputs of tidal height records, national seamless digital elevation dataset of Indonesia (DEMNAS), Indonesian gridded national bathymetry (BATNAS), and wind data from OGIMET. We used a finite method on MIKE 21 to determine peak water levels, and validation for the velocity component using TPXO9 and Tidal Model Driver (TMD). The benchmark of the inundation is taken from the maximum water level of the simulation. This study utilized ArcGIS for the spatial analysis of tidal flood distribution upon solar salt production area, particularly where the tides are dominated by local factors. The results indicated that during the peak events in June 2016 and May 2018, about 83% to 84% of salt ponds were being inundated, respectively. The accurate identification of flooded areas also provided valuable information for tidal flood assessment of marginal agriculture in data-scarce region. |
topic |
mapping impact tidal flood hydrodynamic model solar salt farming |
url |
https://www.mdpi.com/2220-9964/8/10/451 |
work_keys_str_mv |
AT anangwidhinirwansyah mappingimpactoftidalfloodingonsolarsaltfarminginnorthernjavausingahydrodynamicmodel AT borisbraun mappingimpactoftidalfloodingonsolarsaltfarminginnorthernjavausingahydrodynamicmodel |
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