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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Main Authors: Anang Widhi Nirwansyah, Boris Braun
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/8/10/451
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spelling 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
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