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Tidal inundation mapping under enhanced land subsidence in Semarang,Central Java Indonesia 总被引：3，自引：0，他引：3
Tidal inundation by high tide under enhanced land subsidence is a damaging phenomenon and a major threat to the Semarang urban
area in Indonesia. It impacts on economic activities, as well as the cost of an emergency program and causes interruption
of pubic services, danger of infectious diseases and injury to human lives. This study examines a spatial analysis tool on
the GIS-raster system for the tidal inundation mapping based on the subsidence-benchmark data and modified detail digital
elevation model. Neighborhood operation and iteration model as a spatial analysis tool have been applied in order to calculate
the encroachment of the tidal inundation on the coastal area. The resulting map shows that the tidal flood spreads to the
lowland area and causes the inundation of coastal settlement, infrastructure, as well as productive agricultural land, i.e.,
the fish-pond area. The monitoring of the vulnerable area due to the tidal inundation under the scenario of extended land
subsidence plays an important role in long-term coastal zone management in Semarang. 相似文献
2.
Sea level rise (SLR) as a result of global warming has an impact on the increasing inundation on the coastal area. Nowadays,
Semarang coastal area in Indonesia is already subject to coastal hazard due to tidal inundation and land subsidence. The impact
of the inundation is predicted to be even more severe with the scenario of sea level rise. This paper concentrates on the
risk assessment to the population, land use, and monetary losses as a result of coastal inundation under enhanced sea level
rise. This paper uses the scenario of the depth of inundation to generate coastal inundation model using GIS-Technology. Anticipatory
issues including methodology development for hazard assessment would be necessary for Semarang coastal area, and therefore,
geo-information technology can be considered as a useful tool to rapidly assess the impact of the coastal hazard and evaluate
the economic losses. 相似文献
3.
Semarang is one of the biggest cities in Indonesia and is nowadays suffering from coastal flooding. Land subsidences, high
water tide, and inadequate structural measures play important roles in the coastal inundations. Structural and non-structural
methods for controlling coastal flooding including dykes, drainage systems, pump stations, polder systems, coastal-land reclamations,
coastal planning and management, public education, as well as the establishment of an institutional framework for disaster
management have been implemented in the Semarang coastal area. Although some improvements have been made, the current flood
management system has generally failed to address a wide range of coastal inundation problems. Some improvement actions have
been proposed including stakeholders involvement on the disaster mitigation. For a long period coastal management, accelerated
sea level rises due to global warming should also be taken into account. 相似文献
4.
Monitoring land subsidence in Semarang,Indonesia 总被引：1，自引：0，他引：1
Semarang is one of the biggest cities in Indonesia and nowadays suffering from extended land subsidence, which is due to groundwater
withdrawal, to natural consolidation of alluvium soil and to the load of constructions. Land subsidence causes damages to
infrastructure, buildings, and results in tides moving into low-lying areas. Up to the present, there has been no comprehensive
information about the land subsidence and its monitoring in Semarang. This paper examines digital elevation model (DEM) and
benchmark data in Geographic Information System (GIS) raster operation for the monitoring of the land subsidence in Semarang.
This method will predict and quantify the extent of subsidence in future years. The future land subsidence prediction is generated
from the expected future DEM in GIS environment using ILWIS package. The procedure is useful especially in areas with scarce
data. The resulting maps designate the area of land subsidence that increases rapidly and it is predicted that in 2020, an
area of 27.5 ha will be situated 1.5–2.0 m below sea level. This calculation is based on the assumption that the rate of land
subsidence is linear and no action is taken to protect the area from subsidence. 相似文献
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