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    Wyświetlanie 1-4 z 4
    Tytuł:
    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
    Autorzy:
    Yulianto, Fajar
    Suwarsono, Suwarsono
    Maulana, Taufik
    Khomarudin, Muhammad Rokhis
    Powiązania:
    https://bibliotekanauki.pl/articles/1051206.pdf
    Data publikacji:
    2019-09-30
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    Coastal landform
    tidal flooding
    remote sensing – GIS
    Pekalongan
    Central Java
    Indonesia
    Opis:
    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.
    Źródło:
    Quaestiones Geographicae; 2019, 38, 3; 17-29
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparsion of TRMM Precipitation Satellite Data over Central Java Region – Indonesia
    Autorzy:
    Sekaranom, Andung Bayu
    Nurjani, Emilya
    Hadi, M. Pramono
    Marfai, Muh Aris
    Powiązania:
    https://bibliotekanauki.pl/articles/1051514.pdf
    Data publikacji:
    2018-10-15
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    TRMM satellite precipitation
    seasonal rainfall comparison
    rain gauge precipitation
    Central Java Region
    Opis:
    This research aims to compare precipitation data derived from satellite observation and ground measurements through a dense station network over Central Java, Indonesia. A precipitation estimate from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) 3B42 Version 7 are compared with precipitation data from interpolated rain gauge stations. Correlation analysis, mean bias error (MBE), and root mean square error (RMSE) were utilized in the analysis for each thee-monthly seasonal statistics. The result shows that the 3B42 products often estimate lower rainfall than observed from weather stations in the peak of the rainy season (DJF). Further, it is revealed that the 3B42 product are less robust in estimating rainfall at high elevation, especially when humid environment, which is typical during the rainy season peak, are involved.
    Źródło:
    Quaestiones Geographicae; 2018, 37, 3; 97-114
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatial-temporal dynamics land use/land cover change and flood hazard mapping in the upstream citarum watershed, west Java, Indonesia
    Autorzy:
    Yulianto, Fajar
    Suwarsono, Suwarsono
    Nugroho, Udhi Catur
    Nugroho, Nunung Puji
    Sunarmodo, Wismu
    Khomarudin, Muhammad Rokhis
    Powiązania:
    https://bibliotekanauki.pl/articles/1050869.pdf
    Data publikacji:
    2020-03-31
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    land-use/land-cover
    flood hazard
    remote sensing
    Citarum watershed
    West Java
    Indonesia
    Opis:
    This study presents the information on the dynamics of changes in land use/land cover (LULC) spatially and temporally related to the causes of flooding in the study area. The dynamics of LULC changes have been derived based on the classification of Landsat imagery for the period between 1990 and 2016. Terrain surface classification (TSC) was proposed as a micro-landform classification approach in this study to create flood hazard assessment and mapping that was produced based on the integration of TSC with a probability map for flood inundation, and flood depth information derived from field observation. TSC as the micro-landform classification approach was derived from SRTM30 DEM data. Multi-temporal Sentinel-1 data were used to construct a pattern of historical inundation or past flooding in the study area and  also to produce the flood probability map. The results of the study indicate that the proposed flood hazard mapping (FHM) from the TSC as a micro-landform classification approach has the same pattern with the results of the integration of historical inundation or previous floods, as well as field investigations in the study area. This research will remain an important benchmark for planners, policymakers and  researchers regarding spatial planning in the study area. In addition, the results can provide important input for sustainable land use plans and strategies for mitigating flood hazards.
    Źródło:
    Quaestiones Geographicae; 2020, 39, 1; 125-146
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Non-medical risk assessment of COVID-19 in parts of Central and East Java, Indonesia
    Autorzy:
    Saputra, Aditya
    Setiawan, Wisnu
    Arif, Muhammad
    Sriyono, Sriyono
    Nurmalasari, Intan Rohmah
    Dijaya, Rohman
    Ulinuha, Agus
    Powiązania:
    https://bibliotekanauki.pl/articles/2054584.pdf
    Data publikacji:
    2022-03-31
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    COVID-19 pandemic
    Central and East Java Indonesia
    non-medical risk
    analytical hierarchy process
    Opis:
    The impact of the Coronavirus disease 2019 (COVID-19) pandemic varies as each country has a different capacity to stop the virus transmission and apply social distancing. A densely populated country, such as Indonesia, tends to face challenges in implementing social distancing due to population characteristics. The Indonesian government focuses on the medical aspect as this virus is new and has been deadly with a high transmission rate. Meanwhile, the non-medical risk during the pandemic is still unclear. The main objective of this study is to assess the non-medical risk at the village level in two agglomeration cities of Central Java: Greater Surakarta and Surabaya. The methodologies use a risk index, derived from the risk reduction concept. The hazard refers to the death toll, while the vulnerability relates to parameters such as disaster, social and public facilities, health facilities, economics and demography. Further, the parameters were weighted based on expert judgement derived using analytical hierarchy process (AHP). The study found that the disaster aspect had the highest weight (0.38), followed by health facilities (0.31), economics (0.17), social-public facilities (0.11) and demography (0.04). The standard deviations of those parameters were relatively low, between 0.12 and 0.25. A low vulnerability index (0.05–0.36) was observed to be dominant in both study areas. There are 11 villages in Greater Surakarta and 30 villages in Greater Surabaya with high vulnerability index. Disaster-prone areas, low economic growth, lack of health facilities and aged demographic structure significantly added to this vulnerability. Further, a high-risk index (0.67–1.00) is observed in three villages in Greater Surabaya and one village in Greater Surakarta. These villages are relatively close to the city centre and have good accessibility. Furthermore, these four villages experienced the severest impact of the pandemic because the furniture and tourism sectors were their primary industries.
    Źródło:
    Quaestiones Geographicae; 2022, 41, 1; 147-169
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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