scholarly journals Multi-Criteria Evaluation (MCE) Method for the Management of Woodland Plantations in Floodplain Areas

2020 ◽  
Vol 9 (12) ◽  
pp. 725
Author(s):  
Christos Tzioutzios ◽  
Aristeidis Kastridis
Keyword(s):  
Spatial Analysis ◽  
Rural Areas ◽  
Flood Risk ◽  
Risk Mitigation ◽  
Low Cost ◽  
River System ◽  
Open Water ◽  
Geographical Information ◽  
Multi Criteria Evaluation ◽  
Total Study Area

The potential of woodland and floodplain woodland plantations in a wide area, of high flood risk, along the Spey River (Scotland) is investigated, to mitigate the floods’ catastrophic impact. The spatial analysis required various datasets to be overlaid, to define the suitable sites for woodland and floodplain woodland establishment. These datasets that concern the topography, the physical and technical characteristics (existing woodland, road system, urban and rural areas, river system and open water areas, railway) and the protected sites of the study area were obtained and merged using Geographical Information System (GIS) techniques. The most suitable and unsuitable areas within the region were identified, using multi-criteria evaluation methods (Boolean approach). In total, 13 constraints were created by expressing true/false statements for each factor, and were combined together using spatial analysis tools. The results revealed the high potential of woodland and floodplain woodland plantations to prevent floods, with 59.2% of the total study area (177.5 km2) determined to be appropriate for such practices’ application. The River Dulnain tributary demonstrated the highest potential for floodplain woodland planting, followed by Rivers Avon and Fiddich, and the southwestern and northeastern Spey River parts. The methodology proposed is simple and provides rapid and accurate results at low cost, while the datasets can be easily accessed and are available in convenient type/format. This useful methodology for researchers and authorities could be applied successfully to similar watersheds, contributing significantly to flood risk mitigation and the enhancement of the flood-preventative measures’ planning efficiency.

scholarly journals Historical Geomorphological Research of a Ligurian Coastal Floodplain (Italy) and Its Value for Management of Flood Risk and Environmental Sustainability

2018 ◽  
Vol 10 (10) ◽  
pp. 3727 ◽  
Author(s):  
Anna Roccati ◽  
Fabio Luino ◽  
Laura Turconi ◽  
Pietro Piana ◽  
Charles Watkins ◽  
...  
Keyword(s):  
Land Use ◽  
Environmental Sustainability ◽  
Flood Risk ◽  
18Th Century ◽  
Risk Mitigation ◽  
Morphological Changes ◽  
Geographical Information ◽  
Primary Role ◽  
Aerial Photos ◽  
Additional Information

The alluvial plain of the Entella River (Eastern Liguria), historically affected by damaging flood events, has been heavily modified over the past 250 years by human activity and natural processes. A qualitative and quantitative analysis of the morphological and land use evolution of the Entella floodplain since the 18th century was carried out using base maps and aerial photos ranging from 1758 to 2016. These diverse sources were Geographical Information System (GIS) georeferenced. Additional information on land-use change was gathered from historical documents and recent research reports. The main transformations to the floodplain include morphological changes, e.g., narrowing, channelization, displacement of the river channel and the advance of the coastal line due to fills and embankments. In addition, there has been very significant urbanization with loss of vegetated and agricultural areas. Our results indicate the primary role of human disturbance on morphological changes and landscape modifications of the coastal floodplain, particularly over the last 200 years. Furthermore, the historical geomorphological and cartographical analysis we adopted to reconstruct the floodplain transformation represents an essential tool in flood risk mitigation and environmental sustainability management, particularly in an urbanized coastal plain historically affected by floods.

scholarly journals Multi-Criteria Evaluation and Sensitivity Analysis for the Optimal Location of Constructed Wetlands (METland) at Oceanic and Mediterranean Areas

2021 ◽  
Vol 18 (10) ◽  
pp. 5415
Author(s):  
Lorena Peñacoba-Antona ◽  
Montserrat Gómez-Delgado ◽  
Abraham Esteve-Núñez
Keyword(s):  
Sensitivity Analysis ◽  
Constructed Wetlands ◽  
Rural Areas ◽  
Geographical Information Systems ◽  
Removal Rate ◽  
Influential Factors ◽  
Pollutant Removal ◽  
Geographical Information ◽  
New Variety ◽  
Multi Criteria Evaluation

METland is a new variety of Constructed Wetland (CW) for treating wastewater where gravel is replaced by a biocompatible electroconductive material to stimulate the metabolism of electroactive bacteria. The system requires a remarkably low land footprint (0.4 m2/pe) compared to conventional CW, due to the high pollutant removal rate exhibited by such microorganisms. In order to predict the optimal locations for METland, a methodology based on Multi-Criteria Evaluation (MCE) techniques applied to Geographical Information Systems (GIS) has been proposed. Seven criteria were evaluated and weighted in the context of Analytical Hierarchy Process (AHP). Finally, a Global Sensitivity Analysis (GSA) was performed using the Sobol method for resource optimization. The model was tested in two locations, oceanic and Mediterranean, to prove its feasibility in different geographical, demographic and climate conditions. The GSA revealed as conclusion the most influential factors in the model: (i) land use, (ii) distance to population centers, and (iii) distance to river beds. Interestingly, the model could predict best suitable locations by reducing the number of analyzed factors to just such three key factors (responsible for 78% of the output variance). The proposed methodology will help decision-making stakeholders in implementing nature-based solutions, including constructed wetlands, for treating wastewater in rural areas.

scholarly journals Geospatial Approach for the Assessment and Analysis of Flood Risk in the region of Nanjangud town, Mysore District, Karnataka, India

2021 ◽  
Vol 1197 (1) ◽  
pp. 012032
Author(s):  
Arunkumar Yadav ◽  
H C Hema ◽  
Pramodkumar Kappadi ◽  
Chandrashekharappa Agasnalli
Keyword(s):  
Rural Areas ◽  
Flood Risk ◽  
Urban Areas ◽  
Water Cycle ◽  
Flood Hazard ◽  
Rainfall Variability ◽  
Meteorological Parameter ◽  
Satellite Image ◽  
Geographical Information ◽  
Topographic Map

Abstract Flooding in urban and rural areas is one of the utmost challenges to human safety. Destruction of the properties is the main issue in urban areas and damage to the agriculture practices in the rural area. Flood risk is rising significantly all over the globe. The regional water cycle and water resource availability are governed by the rainfall event, which is a fundamental meteorological parameter. The objective of the study is to examine the rainfall variability for 25 years from the period from 1995 to 2020 for monthly and annual rainfalls in the part of Nanjangud taluk, Mysore district, Karnataka. During the last three years that is 2017 to 2019 during the southwest monsoon, it is noted that the severity of flood increased in the surrounding of Nanjangud town, due to the heavy rainfall and excess amount of water released has augmented the inflow source of flooding. The assimilation of Remotely Sensing (RS) and Geographical Information System (GIS) is capable to generate a sequence of thematic maps that were helpful to create geospatial data for demarcating flood hazard areas. This study discusses the probable flood risk-prone regions of the Kabini river basin near Nanjangud town based on the multi-ring buffered layer analysis. The buffered layers created for the radius of 250m, 500m 750m, and 1000m were overlaid on the Sentinel-2 satellite image and topographic map to delineate the flood-affected region. To calculate the slope and drainage density, the SRTM DEM data was used. Structural and nonstructural practices are proposed in this study can be implemented to reduce the probability of the effect of floods.

scholarly journals Linking rural community livelihoods to resilience building in flood risk reduction in Zimbabwe

2009 ◽  
Vol 2 (1) ◽  
Author(s):  
Patrick Gwimbi
Keyword(s):  
Climate Change ◽  
Rural Communities ◽  
Rural Community ◽  
Rural Areas ◽  
Flood Risk ◽  
Risk Mitigation ◽  
Property Values ◽  
Rural Livelihoods ◽  
Flood Hazards ◽  
Flooding Events

The increasing occurrence of disastrous flooding events and the mounting losses in both life and property values in Zimbabwe have drawn attention to the flooding situation in the country, especially the rural areas. This article explores the resilience of vulnerable rural communities to flood risks associated within increasingly frequent and severe events linked to climate change. Starting by reviewing the current literature on rural livelihoods, resilience and vulnerability research, the paper argues for a coordinated teamwork approach in flood risk mitigation in rural areas. The paper concludes with several recommendations for enhanced resilience to flood hazards.

A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia

2021 ◽  
pp. 1-19
Author(s):  
Salwa Saidi ◽  
Anis Ghattassi ◽  
Samar Zaggouri ◽  
Ahmed Ezzine
Keyword(s):  
Remote Sensing ◽  
Flood Risk ◽  
Low Cost ◽  
Multicriteria Analysis ◽  
Geographical Information ◽  
Gis And Remote Sensing ◽  
Risk Levels ◽  
North East ◽  
Flood Risk Mapping ◽  
High Flood

In the context of global warming, it is very critical to delineate areas of high flood vulnerability and risk. Climate and hydrologic surveying using traditional methods is not always available and depends on external factors. So, the use of geographical information system and remote sensing is of high importance as a decision support system. This approach is of low cost and can cover a long period for surveying. This study aims to provide decision makers a framework of GIS based on multicriteria analysis for flood risk mapping. Classified remote sensing image layers are used to complete GIS-multicriteria results. Results show that the high to very high-risk levels affect the majority of the study area, particularly the south-west and north-east zones. The comparison between GIS and remote sensing approaches shows the same areas of risk and reveals that it is a reliable methodology that greatly enhances decision making.

ANALISIS KESESUAIAN LAHAN DAN EVALUASI JENIS TANAH DALAM BUDIDAYA TANAMAN TEBU UNTUK PENGEMBANGAN DAERAH KABUPATEN TEGAL

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Daru Mulyono
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Plant Productivity ◽  
Saccharum Officinarum ◽  
Geographical Information ◽  
Sugarcane Plant ◽  
Plant Cultivation ◽  
Suitability Map

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol   (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

Management of Water Cycle: An Approach to Urban Ecology

1992 ◽  
Vol 27 (2) ◽  
pp. 221-238 ◽  
Author(s):  
W. Ripl
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Water Cycle ◽  
Cooling System ◽  
Thermal Power ◽  
Sewage Treatment ◽  
Balance Sheet ◽  
River System ◽  
Soil Restoration ◽  
Environmental Damage

Abstract Densely populated urban areas, which have developed over the last century, depend heavily on centralized water supply, sewage treatment plants, and hydroelectric or thermal power generation with vast demand of cooling water. Considerable areas have been drained or sealed, and the short-circuited water cycle has been distorted. Large rivers have been converted to shipping canals with the permanent risk of accidental pollution. Technical means such as sewage treatment, air filters, emission control and lake and soil restoration measures have contributed to correct the environmental damage. However, a balance sheet for irreversible matter losses (mainly base cation charges) from the urbanized areas and the surrounding landscape into the sea shows ever-increasing trends. These losses are destabilizing the ecosystems. In this paper, management of the water cycle in urban areas, together with the coupled matter cycles, is discussed. Particular reference is given to Metropolitan Berlin, with a network of shipping canals, which move biologically treated waste, containing base cations and nutrients to the surrounding rural areas. This could create manageable productive wetlands and re-establish soil fertility. At the same time, the natural cooling system close to the urban areas will be improved by providing more areas with permanent vegetation. In addition, reduction of the present large oscillations of the groundwater table, resulting from groundwater pumping and its recharge with less polluted surface water, is contemplated. The widely used shoreline infiltration of the Havel River should then be eliminated and the severe damage of the littoral vegetation in large sections of the Havel River system be avoided.

scholarly journals A low-cost web-based smart street lighting geographical information system for smaller towns and villages

2020 ◽  
Vol 10 (1) ◽  
pp. 450-458
Author(s):  
Filip Pružinec ◽  
Peter Mego ◽  
Renata Đuračiová
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Web Application ◽  
Low Cost ◽  
Geographical Information ◽  
Light Control ◽  
Street Lighting ◽  
Lighting Control ◽  
Manual Adjustment ◽  
Control Service

AbstractThe use of LED lights in smart street lighting to save energy is efficient and very common in many developed cities. However, such a system results in higher initial costs, which may discourage smaller towns and villages from its purchasing. This paper therefore deals with the design and development of a smart street lighting control system for smaller cities and villages. Such a system is required to be economical from the perspective of development and production. Considering other requirements such as platform independence, high availability and broad support, we proposed to build a system as a web application using a custom light control service component. The result is a web application that consists of a user interface served by a web server and an application server used to communicate with light control service. In addition, the system is designed as a geographical information system to be easy to use for managing street lights in groups or individually, while displaying them on the map. The system allows automatic sensor-based light intensity modulation by default with the possibility of manual adjustment or override of the illumination. It also includes a device error notification system with a tool to navigate faulty devices. The presented system is a low-cost solution for intelligent street lighting control designed for smaller cities or villages. They can apply the designed architecture of the system and the specific technologies suitable because of their low-cost implementation.

scholarly journals A review of modelling methodologies for flood source area (FSA) identification

2021 ◽  
Author(s):  
Amrie Singh ◽  
David Dawson ◽  
Mark Trigg ◽  
Nigel Wright
Keyword(s):  
Flood Risk ◽  
Risk Mitigation ◽  
Ground Cover ◽  
Source Area ◽  
Urban Environments ◽  
Weather Patterns ◽  
Complex Process ◽  
Average Annual Loss ◽  
Flood Source ◽  
Modelling Approaches

AbstractFlooding is an important global hazard that causes an average annual loss of over 40 billion USD and affects a population of over 250 million globally. The complex process of flooding depends on spatial and temporal factors such as weather patterns, topography, and geomorphology. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact. Understanding source areas that have a major impact on flooding is, therefore, crucial for strategic flood risk management (FRM). Although flood source area (FSA) identification is not a new concept, its application is only recently being applied in flood modelling research. Continuous improvements in the technology and methodology related to flood models have enabled this research to move beyond traditional methods, such that, in recent years, modelling projects have looked beyond affected areas and recognised the need to address flooding at its source, to study its influence on overall flood risk. These modelling approaches are emerging in the field of FRM and propose innovative methodologies for flood risk mitigation and design implementation; however, they are relatively under-examined. In this paper, we present a review of the modelling approaches currently used to identify FSAs, i.e. unit flood response (UFR) and adaptation-driven approaches (ADA). We highlight their potential for use in adaptive decision making and outline the key challenges for the adoption of such approaches in FRM practises.

Assessment of renaturation measures for improvements in ecosystem services and flood risk mitigation

2021 ◽  
Vol 292 ◽  
pp. 112743
Author(s):  
Elisabetta Strazzera ◽  
Rossella Atzori ◽  
Daniela Meleddu ◽  
Vania Statzu
Keyword(s):  
Ecosystem Services ◽  
Flood Risk ◽  
Risk Mitigation
Sign in / Sign up

Export Citation Format

Share Document