scholarly journals Spatial Modeling Of Coastal Flood Due To The Fishpond To Tidal Waves In Bengkalis, Indonesia

2021 ◽  
Author(s):  
momon momon
Keyword(s):  
Land Surface ◽  
Soil Surface ◽  
Research Area ◽  
Coastal Areas ◽  
Final Decision ◽  
Residential Areas ◽  
Geospatial Information ◽  
Tidal Flooding ◽  
Tidal Waves ◽  
Tidal Data

Bengkalis Island is one of the small islands in Riau Province, which is located on the east coast of Sumatra. It is separated from the island of Sumatra and is in the middle of the Malacca Straits, which is directly facing the ocean and vulnarble to affected by the enormous energy of the tidal waves that propagate on the land surface. Make coastal areas inundated by tidal floods. This is exacerbated by the conversion of mangrove land into Fishponds, which is carried out en masse to support the economy of the Bengkalis community. The degradation of mangrove land, it is also exacerbated by global warming that causes rising sea level. it very vulnerable to coastal areas, especially in the research area. This research method uses geospatial modeling, using tidal data from the geospatial information agency (BIG), land cover image classification, soil surface roughness index, and flood scenarios. The results of this study we found that many coastal areas are prone to tidal flooding. At various maximum heights, there are variations in the distribu-tion of tidal flooding. For the final decision, we use the worst scenario using the highest tidal discharge, which is 3.4 meters. This simulation model inundated more than 74% of use in coastal areas. Not only that; many, agricultural areas were also affected by this tidal flood. We developed this simulation for analysis of losses due to the tidal wave, and we, found a loss index that reached 62% of the total loss of residential areas, including the loss of infrastructure and residen-tial buildings.

scholarly journals Analysis of the dynamics of coastal landform change based on the integration of remote sensing and gis techniques: Implications for tidal flooding impact in pekalongan, central java, Indonesia

2019 ◽  
Vol 38 (3) ◽  
pp. 17-29 ◽  
Author(s):  
Fajar Yulianto ◽  
Suwarsono ◽  
Taufik Maulana ◽  
Muhammad Rokhis Khomarudin
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
High Tide ◽  
Coastal Areas ◽  
Change Analysis ◽  
Tidal Flooding ◽  
Gis Techniques ◽  
Coastal Landforms ◽  
Coastal Landform ◽  
The Impact

Abstract Coastal landforms are located in the interface zone between atmosphere, ocean and land surface systems formed by the geomorphic process of erosion, depositional, and subsidence. Studying the dynamics of coastal landform change is important for tracing the relationship between coastal landform changes and tidal flooding in the coastal areas of Pekalongan, Indonesia. The method of integrating remote sensing data with geographic information system (GIS) techniques has been widely used to monitor and analyze the dynamics of morphology change in coastal landform areas. The purpose of this study is to map the dynamics of landform change in the study area from 1978 to 2017 and to analyze its implications for the impact of tidal flooding. The results of the mapping and change analysis associated with coastal landforms can be classified into four landform types: beach, beach ridge, backswamp and alluvial plain. Changes in coastal morphology and landform topography affected by land subsidence and changes in land use/ land cover have contributed to the occurrence of tidal flooding in the study area. Beach ridges perform an important role as natural levees which hold back and prevent the entry of seawater at high tide in coastal areas. A limitation of this study is that, as it focuses only on the physical aspects of coastal landform characteristics for one of the factors causing tidal flooding.

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

2018 ◽  
Vol 18 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Hot Spots ◽  
Land Surface ◽  
Hot Spot ◽  
Monitoring Network ◽  
Residential Areas ◽  
Hotspot Analysis ◽  
The City

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

scholarly journals Coastal erosion risk assessment in the coastal area of Muara Asam Asam, Tanah Laut Regency

2021 ◽  
Vol 325 ◽  
pp. 01023
Author(s):  
Rizki Adriadi Ghiffari ◽  
Haryo Dwito Armono
Keyword(s):  
Risk Assessment ◽  
Coastal Area ◽  
Coastal Erosion ◽  
Coastal Areas ◽  
Risk Level ◽  
Residential Areas ◽  
Economic Activities ◽  
Dry Land ◽  
Erosion Risk ◽  
The Relationship

Coastal erosion is the process of land erosion in coastal areas due to waves and ocean currents which reduce land and can adversely affect socio-economic activities in coastal areas. Coastal erosion risk assessment in the estuary is a development of previous research, because the erosion and accretion processes do not only occur along the shoreline, but also on the side facing river water bodies, due to the confluence of fluvial and marine processes. The landward shift of the shoreline in the Muara Asam Asam coastal area has reached 90 meters in the last 28 years, and has been detrimental because the area is a densely populated area with major economic activities in the fisheries and agriculture sectors. This study aims to determine the coastal erosion risk level zones based on the relationship among vulnerability and consequence parameters, through distance decay weighted based method. The results indicate that Muara Asam Asam has high risk zones of coastal erosion, especially in densely populated residential areas and dry land agriculture on the west side of the estuary, due to the lack of implementation of preventive measures through hard coastal structure and coastal zoning policy to protect socio-economic activities and coastal ecological environments.

scholarly journals Dynamics of human-induced lakes and their impact on land surface temperature in Toshka Depression, Western Desert, Egypt

2021 ◽  
Author(s):  
Rasha Abou Samra
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Research Area ◽  
Western Desert ◽  
Severe Drought ◽  
Land Use Land Cover

Abstract Land surface temperature (LST) is a significant environmental variable that is appreciably influenced by land use /land cover changes. The main goal of this research was to quantify the impacts of land use/land cover change (LULC) from the drying of Toshka Lakes on LST by remote sensing and GIS techniques. Landsat series TM and OLI satellite images were used to estimate LST from 2001 to 2019. Automated Water Extraction Index (AWEI) was applied to extract water bodies from the research area. Optimized Soil-Adjusted Vegetation Index (OSAVI) was utilized to predict the reclaimed land in the Toshka region until 2019. The results indicated a decrease in the lakes by about 1517.79 km2 with an average increase in LST by about 25.02 °C between 2001 and 2019. It was observed that the dried areas of the lakes were converted to bare soil and are covered by salt crusts. The results indicated that the land use change was a significant driver for the increased LST. The mean annual LST increased considerably by 0.6 °C/y between 2001 and 2019. A strong negative correlation between LST and Toshka Lakes area (R-square = 0.98) estimated from regression analysis implied that Toshka Lakes drying considerably affected the microclimate of the study area. Severe drought conditions, soil degradation, and many environmental issues were predicted due to the rise of LST in the research area. There is an urgent need to develop favorable strategies for sustainable environmental management in the Toshka region.

scholarly journals Strategi Pemberdayaan Wilayah Pesisir Dalam Menghadapi Bencana Tsunami Serta Implikasinya Terhadap Ketahanan Wilayah (Studi di Desa Bulakan, Kecamatan Cinangka, Kabupaten Serang, Banten)

2020 ◽  
Vol 26 (1) ◽  
pp. 108
Author(s):  
Syaiful Anwar ◽  
Agus Winarna ◽  
Priyanto Suharto
Keyword(s):  
Management Plan ◽  
Coastal Areas ◽  
Main Element ◽  
Good Communication ◽  
Tidal Waves ◽  
Tsunami Disaster ◽  
Analysis Technique ◽  
Prone Area

ABSTRACTSerang Regency in Banten Province is a multi-prone area of natural disaster, with the greatest potential disasters particularly like floods, landslides, earthquakes, tidal waves, tsunamis, and abrasion. At the time of the Banten tsunami at December 2018, Bulakan Village, Cinangka Subdistrict, Serang Regency was a tsunami affected area that was classified as quite severe. Natural disasters are real threats with non-military threats.The role of relevant ministries/government institutions as the main element in non-military defense also needs attention. The aim of this study is to find the root of the problems and also the solutions related to non-military defense in confronting the real threat in the form of a tsunami disaster that struck the Serang Regency. This research is using a qualitative method supported by the case-study method. All the information obtained from the defined informants was analyzed by qualitative analysis technique. This research also aims to analyze the implementation of coastal area empowerment strategies and institutional synergy mechanism implemented at Bulakan Vilage, Cinangka Subdistrict,  Serang Regency, Banten Province.The results showed that the empowerment of coastal areas in the form of institutional synergy in Serang District was carried out with a tsunami disaster management plan based on empowerment of coastal areas such as the development of coastal community disaster awareness, and compiling sustainable  plans for a tsunami disaster. Some factors that influence the implementation of the coastal areas empowering strategy in Serang Regency in facing the tsunami disaster are community supports and good communication among the stakeholders.ABSTRAK           Kabupaten Serang di Provinsi Banten merupakan wilayah multirawan bencana, dengan potensi bencana  terbesar yang meliputi banjir, tanah longsor, gempa, gelombang pasang, tsunami, dan abrasi. Pada saat tsunami yang menerjang Selat Sunda pada Desember 2018 lalu, Desa Bulakan, Kecamatan Cinangka, Kabupaten Serang merupakan daerah terdampak tsunami yang tergolong cukup parah. Bencana alam merupakan ancaman nyata berdimensi ancaman nir-militer. Peran kementerian/ lembaga pemerintah terkait sebagai unsur utama dalam pertahanan nir-militer juga perlu mendapat perhatian, sehingga ditemukan akar permasalahan dan solusi terkait pertahanan nir-militer dalam menghadapi anacaman nyata berupa bencana tsunami yang melanda wilayah Kabupaten Serang. Penelitian ini menerapkan metode kualitatif yang didukung oleh metode penelitian studi kasus. Informasi yang didapatkan dari para narasumber yang dituju selanjutnya dibahas dengan menerapkan teknik analisis kualitatif. Penelitian ini bertujuan menganalisis implementasi strategi pemberdayaan wilayah pesisir dan mekanisme sinergitas kelembagaan yang dilaksanakan di wilayah Desa Bulakan, Kecamatan Cinangka, Kabupaten Serang, Provinsi Banten. Hasil dari kajian ini memperlihatkan bahwa pemberdayaan wilayah pesisir di Desa Bulakan  dalam bentuk sinergitas kelembagaan di Kabupaten Serang dilakukan dengan rencana aksi penanggulangan bencana tsunami berbasis pemberdayaan wilayah pesisir yang meliputi pembinaan kesadaran bencana masyarakat pesisir, dan menyusun rencana simulasi bencana tsunami berkelanjutan. Faktor-faktor yang mempengaruhi terselenggaranya strategi pemberdayaan wilayah pesisir di wilayah Serang dalam menghadapi bencana tsunami adalah dukungan masyarakat dan komunikasi yang baik antara para pemangku kepentingan

scholarly journals Estimation of Rainfall-Runoff Relationship and Correlation of Runoff with Infiltration Capacity and Temperature Over East Singhbhum District of Jharkhand

2019 ◽  
Vol 9 (2) ◽  
pp. 461-466
Keyword(s):  
Land Surface ◽  
Pearson Correlation ◽  
Meteorological Parameter ◽  
Research Work ◽  
Soil Surface ◽  
Graphical Analysis ◽  
Annual Runoff ◽  
Annual Rainfall ◽  
Rainfall Runoff ◽  
Infiltration Capacity

In meteorology, Precipitation is any product of the condensation of atmospheric water vapor that falls under the gravity, the rainfall being the principal form of precipitation in India. Rainfall is the most important meteorological parameter for hydrology, as it controls the other processes such as infiltration, runoff, detention storage, and evapotranspiration. When precipitation falls over a catchment area, these processes have to be satisfied before precipitation water becomes runoff. Infiltration is the vertically downward flow of rainfall into ground/underground through percolation inside the soil surface and depends on soil-type, porosity, and permeability. Runoff is the flow of rainwater over the land surface that happens when there is an excess of precipitation over an area. Runoff is produced when the rainwater exceeds the infiltration capacity of the soil. The most important relationships for any watershed are the relationship between rainfall and runoff. This relationship depends on some factors such as characteristics of rainfall, runoff, and infiltration. Though the abovementioned factors have a major impact on the volume of runoff, a consistent correlation between rainfall-runoff enables us to increase more confidence in sufficient time for the formulation of appropriate decision making for the local authority. The present research work was undertaken to analyze the correlation between annual rainfall and annual runoff for the years 1901-2018 over Jamshedpur of East Singhbhum district, Jharkhand. Further in this study, the correlation between infiltration and annual runoff was analyzed over the same area and the same data period. Correlation between temperature and annual runoff was also found. Through the graphical analysis, it was found that the value of annual rainfall and runoff are strongly correlated.As the value of the Pearson correlation coefficient (r) is almost equal to +1 which is a nearly perfect positive correlation, signifies that both variables move in the same direction. It also signifies that the two variables being compared have a perfect positive relationship; that means these two are strongly related. Through the study, it was also found that the infiltration and runoff are largely correlated. There was practically no correlation found between the values of temperature and runoff over the years.

PRISMA Hyperspectral – First insights in the performance in urban surface cover and coastal seascape analysis

2021 ◽  
Author(s):  
Dimitris Poursanidis ◽  
Nektarios Chrysoulakis
Keyword(s):  
Land Surface ◽  
Satellite Image ◽  
Surface Characteristics ◽  
Spectral Width ◽  
Earth Observation ◽  
Hyperspectral Data ◽  
Spectral Information ◽  
Geospatial Information ◽  
Surface Cover ◽  
Spectral Channels

<p>The characterization of the Earth’s surface cover based on predefined classes is among the fundamental activities in the domain of satellite image analysis image since the early 70s. It was the joint NASA/ U.S. Geological Survey Landsat series of Earth Observation satellites that start to continuously acquired images of the Earth's land surface, providing uninterrupted data to help land managers and policymakers make informed decisions about natural resources and the environment. However, in 2020, the collected data even if are of continuous flow in terms volume of terrabytes per day from various optical and radar systems, are limited in terms of spectral resolution since almost all sensors are limited to a maximum of 25 spectral channels in the visible, near-and-shortwave-and-thermal infrared spectrum. The need of denser spectral information has been highlighted in early 80s and the first satellite-based hyperspectral sensor, AVIRIS, start to provide data allowing the extraction information on material composition and precise surface cover information. Since then few attempt appear but more are undergoing for launching. In 2019, the Italian Space Agency launch the PRISMA hyperspectral satellite which collect spectral data in the 400-2500nm spectrum; in total 250 spectral channels with a spectral width of ~ 12nm, at 30m pixel size. Here we present first results of the use of Level 2D PRISMA hyperspectral data in mapping the surface characteristics of the urban and periurban area of Heraklion city along with the coastal zone of the urban front aiming at the simultaneous creation of a land-and-coastal cover map along with the extraction of coastal bathymetry information using artificial intelligence approaches within open access platforms. The use of hyperspectral information allow the separation of urban surfaces based on material signatures, while the availability of dense spectral information in the blue-green spectrum allow the more accurate retrieval of coastal seascape characteristics. It is envisaged that hyperspectral missions soon to be the normal in Earth Observation, allowing the accurate creation of geospatial information for further use in several applications.</p>

scholarly journals Predicted Infiltration for Sodic/Saline Soils from Reclaimed Coastal Areas: Sensitivity to Model Parameters

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Dongdong Liu ◽  
Dongli She ◽  
Shuang’en Yu ◽  
Guangcheng Shao ◽  
Dan Chen
Keyword(s):  
Water Movement ◽  
Soil Surface ◽  
Coastal Areas ◽  
Model Parameters ◽  
Wetting Front ◽  
Sodic Soils ◽  
Infiltration Process ◽  
Infiltration Model ◽  
Soil Physical Quality ◽  
Cumulative Infiltration

This study was conducted to assess the influences of soil surface conditions and initial soil water content on water movement in unsaturated sodic soils of reclaimed coastal areas. Data was collected from column experiments in which two soils from a Chinese coastal area reclaimed in 2007 (Soil A, saline) and 1960 (Soil B, nonsaline) were used, with bulk densities of 1.4 or 1.5 g/cm3. A 1D-infiltration model was created using a finite difference method and its sensitivity to hydraulic related parameters was tested. The model well simulated the measured data. The results revealed that soil compaction notably affected the water retention of both soils. Model simulations showed that increasing the ponded water depth had little effect on the infiltration process, since the increases in cumulative infiltration and wetting front advancement rate were small. However, the wetting front advancement rate increased and the cumulative infiltration decreased to a greater extent whenθ0was increased. Soil physical quality was described better by theSparameter than by the saturated hydraulic conductivity since the latter was also affected by the physical chemical effects on clay swelling occurring in the presence of different levels of electrolytes in the soil solutions of the two soils.

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