scholarly journals Local Participatory Flood Hazard Mapping’s Assessment and Coping: A Conceptual Model of Sustainability in Downstream Area of Belu Regency in the Western Timor Island, East Nusa Tenggara Province, Indonesia

2021 ◽  
Vol 14 (2) ◽  
pp. 38
Author(s):  
Apolonia Diana Sherly da Costa
Keyword(s):  
Conceptual Model ◽  
Geographical Information Systems ◽  
Local Community ◽  
Flood Hazard ◽  
Group Discussion ◽  
Geographical Information ◽  
Rural Villages ◽  
River Flooding ◽  
Flood Depth ◽  
And Coping

This study applies interview, Focus Group Discussion (FGDs), Participatory Geographical Information Systems (pGIS), and a conceptual model of sustainability (CMS) using risk perception of local community to map flood hazard and assess the social and cultural copings to cope with river flooding in downstream areas i.e., Lasaen, Umatoos, and Fafoe villages of West Malaka Subdistrict of Belu Regency, Indonesia. The results of this study indicate that the rural-river flooding was inundated at all three villages. The cycle of flood is twenty-years per event (1939, 1959, 1975, 1999 through 2000), and from 2000 its occurrence was each year until 2012. Based on interviews and FGDs, the information of flood characteristics of Lasaen and Fafoe villages were similar, but Umatoos village was not. The single longevity of flood inundation was in Fafoe village (1 week-1 month). Whilst Lasaen and Umatoos villages were experiencing less duration of flood inundations (0-7 days to 14-21 days). Lasaen and Umatoos Villages were dealing with flood depth’s variation from the lowest depth (0-50cm) to its deepest (251-300cm). For CMS, the most invaluable coping that might be sustainable was cultural capital. Both social and cultural coping enhancements were implemented by local community. The minimum and lack of both these transformable sub-copings were still the problem in the discourse unit of sustainability. As each sub-coping would be overlapped if there has no sufficient distribution of it, utilized by the local community. The genuineness local knowledge of community in applying their social and cultural copings in sustainability is seen as a unique reference and a useful form of local wisdom which can be highlighted and adopted as an effective and/or example discourse analysis by the other rural villages in developing nations that are also still struggling and coping with flood disaster.

scholarly journals Determination of Flood Hazard Zones Using Geographical Information Systems and Remote Sensing Techniques: A Case Study in Part Yenagoa Metropolis

2019 ◽  
pp. 1-9
Author(s):  
Eteh Desmond ◽  
Francis Emeka Egobueze ◽  
Francis Omonefe
Keyword(s):  
Remote Sensing ◽  
Geographical Information Systems ◽  
Flood Hazard ◽  
Environmental Law ◽  
Remote Sensing Data ◽  
Flood Management ◽  
Geographical Information ◽  
Flood Level ◽  
The Government ◽  
Srtm Data

Flood has been a serious hazard for the past decades in Nigeria at large. The incidence of 2012 and 2018 flood disaster in Yenagoa, Amassoma and other parts of the state have not been recover till date and the government is not consigned about the well been of the people. The major causes of the flood are attributed to increased rainfall and lack of drainages including dredging of rivers and disobeying of environmental law and infrastructure failure. Coastal Towns or communities are one of the most affected areas of flood and their farms and fishing implements were washed away by the floodwater in 2012 and 2018 in Bayelsa State. Flood management is needed for provision of time information so quick response can be done as soon as possible. Using SRTM data to produce digital elevation model and IDW Contour, the 3D model from ground data of Yenagoa metropolis using ArcGIS 10.6 to generate and analyze them. As a result of field survey, flood level calculation was made to classified flood hazard zones for migration, Agricultural Educational, and construction purpose such as land suitability. This was used in ascertaining the extent of the flooded area. The result reveals that an area of over 5.9888882km2 and riverine and coastal area is flooded, affecting more than 15 coastal and riverine communities. The finding also concludes that remote sensing data like SRTM data and Geospatial techniques seems effective in mapping and identifying areas prone to flooding. Therefore Remote sensing and Geospatial database should be established for proper flood mapping and the government should constantly dredge the area from time to time. 

Application of Geoinformation Technology to the Management of Community-Based Natural Resources for Tourism Development in Northern Tanzania

2022 ◽  
pp. 183-205
Author(s):  
Norbert John Ngowi
Keyword(s):  
Natural Resources ◽  
Geographical Information Systems ◽  
Local Community ◽  
Negative Impact ◽  
Tourism Industry ◽  
Natural Resources Management ◽  
Geographical Information ◽  
Community Based ◽  
Critical Measure ◽  
Northern Tanzania

The approaches to natural resources management have evolved. Disparities in their adoption are likely to produce a long-lasting negative impact on the resources and the livelihood security of the community depending on them. The use of geoinformation by the local community is a critical measure to the sustainability of its resources. Nonetheless, the application of geoinformation technologies to the community-based natural resources for the tourism industry is highly unknown. This chapter reviewed the application of geoinformation technology to the management of community-based natural resources in the Pangani District of Northern Tanzania. It considers how geoinformation technology is used in the management of tourism activities for community development. Specifically, the chapter discusses community developments resulting from that as well as challenges associated with the use of geographical information systems and remote sensing technologies. The chapter concludes with key recommendations for improving those challenges.

scholarly journals Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1624 ◽  
Author(s):  
Elena Huţanu ◽  
Alin Mihu-Pintilie ◽  
Andrei Urzica ◽  
Larisa Elena Paveluc ◽  
Cristian Constantin Stoleriu ◽  
...  
Keyword(s):  
Geographical Information Systems ◽  
Large Scale ◽  
Flood Hazard ◽  
Hydraulic Modeling ◽  
Geographical Information ◽  
Computer Algorithms ◽  
Hazard Maps ◽  
Modeling Software ◽  
Recurrence Intervals ◽  
Flood Hazard Maps

The ability to extract flood hazard settings in highly vulnerable areas like populated floodplains by using new computer algorithms and hydraulic modeling software is an important aspect of any flood mitigation efforts. In this framework, the 1D/2D hydraulic models, which were generated based on a Light Detection and Ranging (LiDAR) derivate Digital Elevation Model (DEM) and processed within Geographical Information Systems (GIS), can improve large-scale flood hazard maps accuracy. In this study, we developed the first flood vulnerability assessment for 1% (100-year) and 0.1% (1000-year) recurrence intervals within the Jijia floodplain (north-eastern Romania), based on 1D HEC-RAS hydraulic modeling and LiDAR derivate DEM with 0.5 m spatial resolution. The results were compared with official flood hazards maps developed for the same recurrence intervals by the hydrologists of National Administration “Romanian Waters” (NARW) based on MIKE SHE modeling software and a DEM with 2 m spatial resolutions. It was revealed that the 1D HEC-RAS provides a more realistic perspective about the possible flood threats within Jijia floodplain and improves the accuracy of the official flood hazard maps obtained according to Flood Directive 2007/60/EC.

Flood Hazard Assessment of Bago River Basin, Myanmar

2018 ◽  
Vol 13 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Win Win Zin ◽  
Akiyuki Kawasaki ◽  
Wataru Takeuchi ◽  
Zin Mar Lar Tin San ◽  
Kyaw Zaya Htun ◽  
...  
Keyword(s):  
River Basin ◽  
Hazard Assessment ◽  
Geographical Information Systems ◽  
Flood Hazard ◽  
Disaster Risk ◽  
Geographical Information ◽  
Hazard Mapping ◽  
Flood Hazard Assessment ◽  
Structural Measure ◽  
Inundation Map

Flood hazard mapping is an effective non-structural measure for sustainable urban planning, protecting human properties, lives, and disaster risk reduction. In this study, flood hazard assessment for the Bago river basin was performed. The flood inundation map of the Bago river basin was developed by coupling a hydrological and hydraulic model with geographical information systems. Flood hazard maps with different return periods were developed. The flood hazard map can be utilized to enhance the effectiveness of disaster risk management activities.

scholarly journals Visualisation Techniques For Facilitating Stakeholder Decision Making In Urban Planning

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Andrew J Rixon ◽  
Stewart Burn
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Geographical Information Systems ◽  
Local Community ◽  
Software Tool ◽  
Geographical Information ◽  
Traffic Flows ◽  
Urban Context ◽  
Decision Making Processes

Public participatory geographical information systems (PPGIS) are becoming widely recognised as powerful tools for informed participatory decision-making processes within urban planning projects. This paper discusses a technique recently used within a case study for providing visualisations of traffic flows and how to incorporate local community perceptions of their neighbourhoods into a PPGIS software tool. In particular, the paper demonstrates a new methodology for visualisation of qualitative social data, facilitating dialogue and discussion amongst stakeholders and planning professionals in an urban context. The paper concludes with a discussion on techniques for developing software and presenting visualisations in an understandable and usable manner catering for a diversity of participants.

scholarly journals Possibilities of geographic information system in solution making of the Sjenica's commune development

2005 ◽  
Vol 85 (2) ◽  
pp. 127-133
Author(s):  
Dejan Sabic ◽  
Misko Milanovic
Keyword(s):  
Information System ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Local Community ◽  
Specific Area ◽  
The Other ◽  
Geographical Information ◽  
Gis Technologies ◽  
Types Of Information ◽  
Gis System

The paper describes reality method sand geographical information systems (GIS- technologies) in integration GIS system. Sjenica is a specific area of the our state and therefore must notes of all elements and factors in environmental. GISs differ from the other types of information systems in that they manage huge quantities of data, enquire complex concepts to describe the geometry of objects and specify complex topological relationship between them. The paper describes our proposal for the project GIS for local community of Sjenica based on GIS technologies, with particular reference to the GIS demands and possibilities.

scholarly journals Use of Geospatial Surveillance and Response Systems for Vector-Borne Diseases in the Elimination Phase

2019 ◽  
Vol 4 (1) ◽  
pp. 15 ◽  
Author(s):  
John Malone ◽  
Robert Bergquist ◽  
Moara Martins ◽  
Jeffrey Luvall
Keyword(s):  
Geographical Information Systems ◽  
Local Community ◽  
Space Station ◽  
Infectious Agent ◽  
Geographical Information ◽  
Agricultural Field ◽  
Vector Borne Diseases ◽  
Surveillance And Response ◽  
Response Systems ◽  
Vector Borne

The distribution of diseases caused by vector-borne viruses and parasites are restricted by the environmental requirements of their vectors, but also by the ambient temperature inside the host as it influences the speed of maturation of the infectious agent transferred. The launch of the Soil Moisture Active Passive (SMAP) satellite in 2015, and the new ECOSTRESS instrument onboard the International Space Station (ISS) in 2018, established the leadership of the National Aeronautics Space Administration (NASA) in ecology and climate research by allowing the structural and functional classification of ecosystems that govern vector sustainability. These advances, and the availability of sub-meter resolution data from commercial satellites, contribute to seamless mapping and modelling of diseases, not only at continental scales (1 km2) and local community or agricultural field scales (15–30 m2), but for the first time, also at the habitat–household scale (<1 m2). This communication presents current capabilities that are related to data collection by Earth-observing satellites, and draws attention to the usefulness of geographical information systems (GIS) and modelling for the study of important parasitic diseases.

Landscape and plant community boundaries in biogeography

1997 ◽  
Vol 21 (3) ◽  
pp. 315-353 ◽  
Author(s):  
Martin Kent ◽  
Wendy J. Gill ◽  
Ruth E. Weaver ◽  
Richard P. Armitage
Keyword(s):  
Plant Community ◽  
Plant Communities ◽  
Geographical Information Systems ◽  
Local Community ◽  
Traditional Approach ◽  
Geographical Information ◽  
Transitional Area ◽  
Moving Window Analysis ◽  
Community Boundaries ◽  
The Subject

The increasing relevance and importance of the subject of landscape ecology to bio geography are introduced. Research into landscape and plant community boundaries, never theless, remains comparatively neglected. In particular, the nature of those boundaries in terms of the patterns of floristic change and related ecosystem properties constitutes a potentially signifi cant new area of research for biogeographers. The term 'ecotone' has traditionally been used to describe boundaries between plant communities and ecosystems at a range of scales. Various definitions are presented and the often confusing terminology surrounding the word 'ecotone' is reviewed. Boundary types range from sharp, clearly defined boundaries (ecotones) between more highly modified plant communities and anthropogenically created land-use types at one extreme, to more gradual and diffuse boundaries (ecoclines) between natural and semi-natural plant communities at the other. It is proposed that the term 'transitional area' is used to describe all types of vegetation boundary when working at the local/community scale. There is little literature of direct significance to the subject of transitional areas. The concept can only be meaningfully discussed in the context of recent developments in the conceptualization of the plant community and these are summarized. The importance of mosaics within plant communities is described and the need to understand and recognize mosaics when studying transitional areas between plant communities is emphasized. The range of research methods available to describe and analyse variations in patterns of floristics and associated environmental variables across transitional areas is then critically reviewed. The potential relevance of remote sensing and geographical information systems, net work analysis and fractals is demonstrated. Ideas on possible adaptations of sampling strategies for the description of floristics and environmental/biotic factors to cater for boundary/transitional area situations are presented and the concept of a rectangular sampling area as an alternative to the more normal linear transect is introduced. The traditional approach to the description of vegetation change across boundaries using transects and similarity coefficients has now been superseded by new developments, notably moving-window analysis, the Mantel test, pattern analysis, semi-variograms, spectral analysis and analysis for spatial autocorrelation, and the scope of these methods is summarized. Finally, the dynamics of plant communities and their boundaries are considered and the implications of research into transitional areas for vegetation management and biological conserv ation are assessed. The importance of this whole subject as a possible new focus for biogeography and spatial ecology is then reiterated.

scholarly journals GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan

2021 ◽  
Vol 13 (10) ◽  
pp. 1864
Author(s):  
Muhammad Tayyab ◽  
Jiquan Zhang ◽  
Muhammad Hussain ◽  
Safi Ullah ◽  
Xingpeng Liu ◽  
...  
Keyword(s):  
Flood Hazard ◽  
Area Under The Curve ◽  
Integrated Approach ◽  
Geographical Information ◽  
Urban Flooding ◽  
Rapid Urbanization ◽  
Urban Flood ◽  
Coping Capacity ◽  
And Coping ◽  
Very High

Urban flooding has been an alarming issue in the past around the globe, particularly in South Asia. Pakistan is no exception from this situation where urban floods with associated damages are frequently occurring phenomena. In Pakistan, rapid urbanization is the key factor for urban flooding, which is not taken into account. This study aims to identify flood sensitivity and coping capacity while assessing urban flood resilience and move a step toward the initialization of resilience, specifically for Peshawar city and generally for other cities of Pakistan. To achieve this aim, an attempt has been made to propose an integrated approach named the “urban flood resilience model (UFResi-M),” which is based on geographical information system(GIS), remote sensing (RS), and the theory of analytical hierarchy process (AHP). The UFResi-M incorporates four main factors—urban flood hazard, exposure, susceptibility, and coping capacity into two parts, i.e., sensitivity and coping capacity. The first part consists of three factors—IH, IE, and IS—that represent sensitivity, while the second part represents coping capacity (ICc). All four indicators were weighted through AHP to obtain product value for each indicator. The result showed that in the Westzone of the study area, the northwestern and central parts have very high resilience, whereas the southern and southwestern parts have very low resilience. Similarly, in the East zone of the study area, the northwest and southwest parts have very high resilience, while the northern and western parts have very low resilience. The likelihood of the proposed model was also determined using the receiver operating characteristic (ROC) curve method; the area under the curve acquired for the model was 0.904. The outcomes of these integrated assessments can help in tracking community performance and can provide a tool to decision makers to integrate the resilience aspect into urban flood management, urban development, and urban planning.

scholarly journals FLOOD MANAGEMENT IN BOSNIA AND HERZEGOVINA: ROLE OF REMOTE SENSING AND GIS

2015 ◽  
pp. 49-57
Keyword(s):  
Remote Sensing ◽  
Geographical Information Systems ◽  
Flood Hazard ◽  
Historical Analysis ◽  
Flood Management ◽  
Flood Damage ◽  
Water Levels ◽  
Geographical Information ◽  
Floodplain Management ◽  
Flood Impacts

The worst flooding that ever hit Bosnia was in May 2014. The official estimates indicate that over 1.5 million people were affected in Bosnia and Serbia after a week of flooding. The assessments of the damage in Bosnia go up to €2billion of euro. The loss in floods is estimated 5 to 10% of GDP (as per WorldBank estimate). The effective floodplain management is a combination of the corrective and preventative measures for reducing flood damage. These measures require integrating data from a variety of sources, including zoning, subdivision, or building requirements, and the special-purpose floodplain ordinances.There are varieties of tools to generate a flood forecasting model to identify the potentially affected zones, so as to prioritize for remediation or the damage assessment. Furthermore, it is possible to analyze the time-related data and to explore trends and phenomena, to conduct the historical analysis and ―what–if‖ scenarios, and to track and monitor events such as excessive rainfall, track water levels, etc. Bosnia is just starting to develop these tools and methods and this could be the way to improve capability to tackle such natural disasters. This paper describes some applications of Remote Sensing (RS) and Geographical Information Systems (GIS) in identifying flood hazard zones and flood shelters and are therefore important tools for planners and decision makers. The purpose is to describe a simple and efficient methodology to accurately delineate flood inundated areas, flood-hazard areas, and suitable areas for flood shelter to minimize flood impacts.

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