scholarly journals Assessment of Switchgrass-Based Bioenergy Supply Using GIS-Based Fuzzy Logic and Network Optimization in Missouri (U.S.A.)

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4516
Author(s):  
Huynh Truong Gia Nguyen ◽  
Erik Lyttek ◽  
Pankaj Lal ◽  
Taylor Wieczerak ◽  
Pralhad Burli
Keyword(s):  
Land Use ◽  
Fuzzy Logic ◽  
Network Optimization ◽  
Urban Areas ◽  
Geographical Information Systems ◽  
Large Scale ◽  
Spatial Information ◽  
Geographical Information ◽  
Negative Consequences ◽  
Analytical Approaches

Bioenergy has been globally recognized as one of the sustainable alternatives to fossil fuels. An assured supply of biomass feedstocks is a crucial bottleneck for the bioenergy industry emanating from uncertainties in land-use changes and future prices. Analytical approaches deriving from geographical information systems (GIS)-based analysis, mathematical modeling, optimization analyses, and empirical techniques have been widely used to evaluate the potential for bioenergy feedstock. In this study, we propose a three-phase methodology integrating fuzzy logic, network optimization, and ecosystem services assessment to estimate potential bioenergy supply. The fuzzy logic analysis uses multiple spatial criteria to identify suitable biomass cultivating regions. We extract spatial information based on favorable conditions and potential constraints, such as developed urban areas and croplands. Further, the network analysis uses the road network and existing biorefineries to evaluate feedstock production locations. Our analysis extends previous studies by incorporating biodiversity and ecologically sensitive areas into the analysis, as well as incorporating ecosystem service benefits as an additional driver for adoption, ensuring that biomass cultivation will minimize the negative consequences of large-scale land-use change. We apply the concept of assessing the potential for switchgrass-based bioenergy in Missouri to the proposed methodology.

scholarly journals Nature-Based Solutions for Storm Water Management—Creation of a Green Infrastructure Suitability Map as a Tool for Land-Use Planning at the Municipal Level in the Province of Monza-Brianza (Italy)

2021 ◽  
Vol 13 (11) ◽  
pp. 6124
Author(s):  
Giulio Senes ◽  
Paolo Stefano Ferrario ◽  
Gianpaolo Cirone ◽  
Natalia Fumagalli ◽  
Paolo Frattini ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Green Infrastructure ◽  
Urban Areas ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Second Phase ◽  
Rainwater Infiltration ◽  
Suitability Map ◽  
Municipal Level

Growing and uncontrolled urbanization and climate change (with an associated increase in the frequency of intense meteoric events) have led to a rising number of flooding events in urban areas due to the insufficient capacity of conventional drainage systems. Nature-Based Solutions represent a contribution to addressing these problems through the creation of a multifunctional green infrastructure, both in urban areas and in the countryside. The aim of this work was to develop a methodology to define Green Infrastructure for stormwater management at the municipal level. The methodology is defined on the basis of three phases: the definition of the territorial information needed, the production of base maps, and the production of a Suitability Map. In the first phase, we define the information needed for the identification of non-urbanized areas where rainwater can potentially infiltrate, as well as areas with soil characteristics that can exclude or limit rainwater infiltration. In the second phase, we constructed the following base maps: a “map of green areas”, a “map of natural surface infiltration potential” and a “map of exclusion areas”. In phase 3, starting from the base maps created in phase 2 and using Geographical Information Systems’ (GIS) geoprocessing procedures, the “Green area compatibility map to realize Green Infrastructure”, the “map of areas not suitable for infiltration” and the final “Green Infrastructure Suitability Map” are created. This methodology should help municipal authorities to set up Green Infrastructure Suitability Maps as a tool for land-use planning.

scholarly journals Assessment of Land - Use Change Effects on Future Beekeeping Suitability Via CA-Markov Prediction Model

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Fatih Sari
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Urban Areas ◽  
Geographical Information Systems ◽  
Transition Probabilities ◽  
Geographical Information ◽  
Suitability Analysis ◽  
Suitability Assessment ◽  
The Future ◽  
Land Use Change Model

AbstractIn this study, landuse changes in the Muğla province were determined and future Land Use Cover Change (LUCC) maps were predicted. Because Muğla accounts for 90% of pine honey production in the world, the study area has vital importance for the Turkish (also for other countries) beekeeping sector and this importance reveals the necessity of both monitoring and predicting the LUCC of Muğla in future. This study demonstrates a combined CA-Markov land use change model and beekeeping suitability analysis via Multi-Criteria Decision Analysis (MCDA) to predict the future of beekeeping suitability in Muğla in the Geographical Information Systems (GIS) platform. 2006 and 2012 LUCC maps were used to predict the 2018 LUCC, and transition probabilities between land cover classes were analyzed. A recent 2018 LUCC map was used to demonstrate accuracy analysis of the predicted 2018 LUCC map. Considering the 0.96 Kappa accuracy, a good fit was determined and the CA-Markov model was used to predict the 2025, 2030, 2040 and 2050 LUCC maps. Moreover, using the Analytical Hierarchy Process (AHP), beekeeping suitability assessment was generated. The results indicate that there will be a considerable increase in the urban areas and decrease in grasslands in the future. Related to this, the suitable areas will be decreased by 50 km2 and non-suitable areas will be increased by 76 km2 from 2018 to 2050. The study simulated the beekeeping suitability to guide beekeepers and local authorities towards a better understanding of the reasons for decreasing suitability and developing urgent land use management systems.

Assessment of land-use change in coastal areas through geographical information systems

2020 ◽  
Vol 13 (10) ◽  
Author(s):  
Verónica Lango-Reynoso ◽  
Karla Teresa González-Figueroa ◽  
Fabiola Lango-Reynoso ◽  
María del Refugio Castañeda-Chávez ◽  
Jesús Montoya-Mendoza
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Geographical Information Systems ◽  
Design Methodology ◽  
Scientific Information ◽  
Coastal Ecosystems ◽  
Coastal Areas ◽  
Geographical Information ◽  
Coastal Zones ◽  
Computer Based

Objective: This article describes and analyzes the main concepts of coastal ecosystems, these as a result of research concerning land-use change assessments in coastal areas. Design/Methodology/Approach: Scientific articles were searched using keywords in English and Spanish. Articles regarding land-use change assessment in coastal areas were selected, discarding those that although being on coastal zones and geographic and soil identification did not use Geographic Information System (GIS). Results: A GIS is a computer-based tool for evaluating the land-use change in coastal areas by quantifying variations. It is analyzed through GIS and its contributions; highlighting its importance and constant monitoring. Limitations of the study/Implications: This research analyzes national and international scientific information, published from 2007 to 2019, regarding the land-use change in coastal areas quantified with the digital GIS tool. Findings/Conclusions: GIS are useful tools in the identification and quantitative evaluation of changes in land-use in coastal ecosystems; which require constant evaluation due to their high dynamism.

scholarly journals Modeling enzootic raccoon rabies from land use patterns - Georgia (USA) 2006-2010

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 285 ◽  
Author(s):  
John E. Duke ◽  
Jesse D. Blanton ◽  
Melissa Ivey ◽  
Charles Rupprecht
Keyword(s):  
Land Use ◽  
Geographical Information Systems ◽  
Agricultural Development ◽  
Cost Effective ◽  
Geographical Information ◽  
Evergreen Forest ◽  
Land Use Patterns ◽  
Vaccination Programs ◽  
Use Patterns ◽  
Rabies Vaccination

We analyzed how land-use patterns and changes in urbanization influence reported rabid raccoons in Georgia from 2006 - 2010.  Using Geographical Information Systems and rabies surveillance data, multivariate analysis was conducted on 15 land-use variables that included natural topography, agricultural development, and urbanization to model positive raccoon rabies cases while controlling for potential raccoon submission bias associated with higher human population densities.  Low intensity residential development was positively associated with reported rabid raccoons while a negative association was found with evergreen forest.  Evergreen forests may offer a barrier effect where resources are low and raccoon populations are not supported.  Areas with pure stands of upland evergreen forest might be utilized in baiting strategies for oral rabies vaccination programs where fewer or no baits may be needed.  Their use as a barrier should be considered carefully in a cost-effective strategy for oral rabies vaccination (ORV) programs to contain the western spread of this important zoonotic disease.

scholarly journals Multivariate clustering of reindeer herding districts in Sweden according to range prerequisites for reindeer husbandry

Rangifer ◽  
2009 ◽  
Vol 27 (2) ◽  
pp. 107-119
Author(s):  
Henrik Lundqvist ◽  
Öje Danell
Keyword(s):  
Geographical Information Systems ◽  
Large Scale ◽  
Global Climate ◽  
Meteorological Data ◽  
Principal Component ◽  
Geographical Information ◽  
Reindeer Herding ◽  
Factors Affecting ◽  
Decision Tools ◽  
Forage Value

The 51 reindeer herding districts in Sweden vary in productivity and prerequisites for reindeer herding. In this study we characterize and group reindeer herding districts based on relevant factors affecting reindeer productivity, i.e. topography, vegetation, forage value, habitat fragmentation and reachability, as well as season lengths, snow fall, ice-crust probability, and insect harassment, totally quantified in 15 variables. The herding districts were grouped into seven main groups and three single outliers through cluster analyses. The largest group, consisting of 14 herding districts, was further divided into four subgroups. The range properties of herding districts and groups of districts were characterized through principal component analyses. By comparisons of the suggested grouping of herding districts with existing administrative divisions, these appeared not to coincide. A new division of herding districts into six administrative sets of districts was suggested in order to improve administrative planning and management of the reindeer herding industry. The results also give possibilities for projections of alterations caused by an upcoming global climate change. Large scale investigations using geographical information systems (GIS) and meteorological data would be helpful for administrative purposes, both nationally and internationally, as science-based decision tools in legislative, economical, ecological and structural assessments. Abstract in Swedish / Sammanfattning: Multivariat gruppering av svenska samebyar baserat på renbetesmarkernas grundförutsettningar Svenska renskötselområdet består av 51 samebyar som varierar i produktivitet och förutsättningar för renskötsel. Vi analyserade variationen mellan samebyar med avseende på 15 variabler som beskriver topografi, vegetation, betesvärde, fragmentering av betesmarker, klimat, skareförekomst och aktivitet av parasiterande insekter och vi föreslår en indelning av samebyar i tio grupper. Den största gruppen, som bestod av 14 samebyar, delades vidare in i 4 undergrupper. Klusteranalyser med 4 olika linkage-varianter användes till att gruppera samebyarna. Principalkomponentsanalys användes för att kartlägga undersökta variabler och de resulterande samebygruppernas karaktär. Samebygrupperna följde inte länsgränser och tre samebyar föll ut som enskilda grupper. Denna undersökning ger underlag för jämförelser mellan samebyar med beaktande av likheter och olikheter i fråga om produktivitet och funktionella särdrag istället för länsgränser och historik. Vi föreslår en ny administrativ indelning i sex områden som skulle kunna fungera som ett alternativt underlag för planering och beslut som rör produktionsaspekter i rennäringen. Resultaten ger också underlag för förutsägelser av förändringar i samebyars produktionsförutsättningar till följd av klimatförändringar.

scholarly journals Measuring COVID-19 Vaccination Coverage to Support Healthcare Equity Decision-Making in Urban Areas

2021 ◽  
Author(s):  
Alireza Mohammadi ◽  
Abolfazl Mollalo ◽  
Robert Bergquist ◽  
Behzad Kiani
Keyword(s):  
Vaccination Coverage ◽  
Urban Areas ◽  
Geographical Information Systems ◽  
Public Hospitals ◽  
Geographical Information ◽  
Public Healthcare ◽  
Special Importance ◽  
Decision Matrix ◽  
Spatial Access ◽  
Public Health Decision

Abstract Background: Limited studies have been conducted on access to COVID-19 vaccines and identifying the most appropriate health centres for performing vaccination in metropolitan areas. This study aimed to measure potential spatial access to COVID-19 vaccination centres in Mashhad, the second-most populous city in Iran.Methods: The age structure of the urban census tracts was integrated into the enhanced two-step floating catchment area model to improve accuracy. The model was developed based on three different scenarios: only public hospitals, only public healthcare centres, and the top 20% healthcare centres were employed as potential vaccination facilities. The weighted decision-matrix and analytic hierarchy process based on four criteria (i.e. service area, accessibility index, capacity of vaccination centres, and distance to main roads) were used to choose potential vaccination centres with the highest suitability for residents.Results: Our findings indicate that including the both public hospitals and public healthcare centres can provide high accessibility to vaccination in central parts of the urban areas. However, using only public healthcare centres for vaccination can provide higher accessibility to vaccination sites in the eastern and north-eastern parts of the study area. Therefore, a combination of public hospitals and public healthcare centres is recommended for efficient vaccination coverage.Conclusions: Measuring spatial access to COVID-19 vaccination centres can provide valuable insights for urban public health decision-makers. Our model, coupled with geographical information systems (GIS), provides more efficient vaccination coverage by identifying the most suitable healthcare centres, which is of special importance when only few centres are available.

scholarly journals Using Remote Sensing Techniques in Environmental Management

2016 ◽  
Vol 73 (2) ◽  
pp. 230
Author(s):  
Mihai Valentin Herbei ◽  
Roxana Herbei ◽  
Laura Smuleac ◽  
Tudor Salagean
Keyword(s):  
Remote Sensing ◽  
Environmental Management ◽  
Information System ◽  
Geographical Information System ◽  
Geographical Information Systems ◽  
Spatial Information ◽  
Modern Technology ◽  
Geographical Information ◽  
Remote Sensing Techniques ◽  
Modern Solution

The Geographical Information Systems technology is used in many fields where the spatial information is very important and relevant, that means in all fields that use a system for saving, analyzing and representing the data which are processed. The aim of this paper is using modern technology for monitoring the environment. Geographical Information System together with remote sensing have a very important role in decision process regarding the environment. Integration of remote sensing images in a Geographical Information System which enables complex spatial analysis is a useful and modern solution for environmental management and decision-making process. Satellite images contain various information that can support environmental monitoring, images that can be analyzed and interpreted in various ways by using the Geographical Information System tools.

Methodology of parking analysis

2015 ◽  
Vol 42 (4) ◽  
pp. 281-285 ◽  
Author(s):  
Abdoulaye Diallo ◽  
Jean-Simon Bourdeau ◽  
Catherine Morency ◽  
Nicolas Saunier
Keyword(s):  
Land Use ◽  
Geographical Information Systems ◽  
Travel Behaviour ◽  
Geographical Information ◽  
Field Surveys ◽  
Parking Management ◽  
Account Regulation ◽  
Parking Demand ◽  
Area Data

Cities are facing many challenges, in particular in relation to the mobility of people and the structure of land use. Parking management, which makes the link between land use and transportation, is one of the crucial ways to meet these challenges. In the Greater Montreal Area, data from origin–destination (OD) surveys is helpful in understanding typical travel behaviour. This study processes car driver trips from travel surveys to develop vehicle accumulation profiles and derive theoretical parking supplies from the observed parking demand, defined as the maximal number of cars parked in an area at a given time. This research also provides an assessment of the quality of the estimation by comparing the parking supplies derived from an OD survey to parking supplies estimated from public geographical information systems and field surveys. The paper shows that parking supply is subject to high variability and highlights that its assessment must take into account regulation data (obtained from on-street regulation parking signs data) that modulates the availability of the raw parking supply according to different days and hours of the day.

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.

Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics

2011 ◽  
Vol 20 (5) ◽  
pp. 633 ◽  
Author(s):  
A. Alexandridis ◽  
L. Russo ◽  
D. Vakalis ◽  
G. V. Bafas ◽  
C. I. Siettos
Keyword(s):  
Cellular Automata ◽  
Geographical Information Systems ◽  
Large Scale ◽  
Fire Suppression ◽  
Meteorological Data ◽  
Fire Spread ◽  
Geographical Information ◽  
Heterogeneous Environments ◽  
Detailed Model ◽  
Technical Specifications

We show how microscopic modelling techniques such as Cellular Automata linked with detailed geographical information systems (GIS) and meteorological data can be used to efficiently predict the evolution of fire fronts on mountainous and heterogeneous wild forest landscapes. In particular, we present a lattice-based dynamic model that includes various factors, ranging from landscape and earth statistics, attributes of vegetation and wind field data to the humidity of the fuel and the spotting transfer mechanism. We also attempt to model specific fire suppression tactics based on air tanker attacks utilising technical specifications as well as operational capabilities of the aircrafts. We use the detailed model to approximate the dynamics of a large-scale fire that broke out in a region on the west flank of the Greek National Park of Parnitha Mountain in June of 2007. The comparison between the simulation and the actual results showed that the proposed model predicts the fire-spread characteristics in an adequate manner. Finally, we discuss how such a detailed model can be exploited in order to design and develop, in a systematic way, fire risk management policies.

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