Selection Wind Farm Sites Based on GIS Using a Boolean Method: Evaluation of the Case of Cameroon

Flora, Fotsing Metegam Isabelle; Njomo, Donatien; Tchinda, René; Hamandjoda, Oumarou

doi:10.4236/jpee.2021.91001

Cited by 8 publications

(7 citation statements)

References 18 publications

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“…This model is easy to understand and apply; and its performance depends on the adopted constraints and the quality of the input maps. This model has been widely used in the literature for the site suitability assessment of waste disposal (Baiocchi et al, 2014), solar power plant (Ibrahim, 2020), wind farm (Flora et al, 2021), water aquaculture and livestock development (Hadipour et al, 2014;Qiu et al, 2017), agricultural land (Romeijn et al, 2016), and urban and industrial development (Ramya and Devedas, 2019). Different from Boolean logic, fuzzy set theory allows partial membership of suitability; therefore it is a more realistic measure of continuous factors.…”

Section: Discussionmentioning

confidence: 99%

“…It is therefore used extensively in the literature for identifying the suitable lands for urban development (Xu et al, 2011; Ustaoglu and Aydınoglu, 2020a), agriculture (Mendas and Delali, 2012;Tadesse et al, 2020), urban green land (Uy and Nakagoshi, 2008;Li et al, 2018), afforestation (Hanell and Magnusson, 2005; November 2022 edition Vol. 18,No.35 www.eujournal.org 3 Nurda et al, 2020), and watershed management (Reshmidevi et al, 2009;Kadam et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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2022

ESJ

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Land allocation priorities to urban green cover are usually neglected particularly in the countries of developing economies such as Turkey. Lack of urban green space can cause many social and physical problems among the residents. Therefore, urban planning and policy should incorporate suitable green land in the urban planning of cities to optimise the benefits obtained from urban green spaces. Land suitability analysis is a commonly used methodology which provides a framework for developing strategies in the planning of green land development. Two different approaches will be utilised for the assessment of suitability of land uses for urban agriculture, forest and natural vegetation in the Pendik district of Istanbul. Standardisation of values in criteria maps was done using the deterministic approach in the first case whereas fuzzy membership was utilised as an alternative in the second case. Analytical Hierarchical Process (AHP) was used for the weighting of subcriteria and map layers were overlaid using the weighted linear combination using the GIS software. Geophysical factors, transport and services accessibility, land cover/use, blue and green amenities, soil properties, geology and erosion susceptibility are the main criteria selected for the assessment of urban green land suitability. The provision of suitable land for urban agriculture, forest and natural vegetation uses will provide a framework to the land use planning and decision support aimed at contributing to urban

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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2022

ESJ

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“…A multiple-criteria-decision-making tool in a GIS environment was used to analyze and establish criterion and restriction factors in identifying suitable agricultural areas to implement SBISs. As an important step of the site selection criterion, a Boolean decisionmaking method as illustrated by Noorollahi et al (2016) and Flora et al (2021) was used to restrict sites that are not suitable to implement the technology (Table 4). Boolean logic converts information from each input raster map into binary forms of 0 and 1 (True or False).…”

Section: Integration Of Multiple Inputsmentioning

confidence: 99%

“…The excluded areas (restricted areas) were assigned a value of 0 while other areas (suitable areas) are assigned a value of 1 (Barakat et al, 2017). In the Boolean model (Flora et al, 2021), a land use map was used as a restriction factor to avoid: Dense vegetation, Water bodies, and Settlement areas, with a buffer of 100 m (Table 4). The maximum likelihood algorithm based on samples collected in Google Earth imagery and expertbased knowledge was used to extract the area of each identified LULC class using individual subset areas.…”

Section: Integration Of Multiple Inputsmentioning

confidence: 99%

Solar-based irrigation systems as a game changer to improve agricultural practices in sub-Sahara Africa: A case study from Mali

Zemadim

Sanogo

Traoré

et al. 2023

Front. Sustain. Food Syst.

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IntroductionIn rainfed agricultural systems, sustainable and efficient water management practices are key to improved agricultural productivity and natural resource management. The agricultural system in sub-Saharan Africa (SSA) relies heavily on the availability of rainfall. With the erratic and unreliable rainfall pattern associated with poor and fragile soils, agricultural productivity has remained very low over the years. Much of the SSA agricultural land has been degraded with low fertility as a result of ongoing cultivation and wind and water erosion. This has resulted in an increased food shortage due to the ever-increasing population and land degradation. Better agricultural and nutritional security are further hampered by the lack of reliable access to the available water resources in the subsurface hydrological system.MethodsThis study used socio-economic data from 112 farm households and Boolean and Fuzzy methods to understand farmers' perceptions and identify suitable areas to implement Solar Based Irrigation Systems (SBISs) in the agro-ecologies of Bougouni and Koutiala districts of southern Mali.Results and discussionResults revealed that the usage of SBISs has been recent (4.5 years), majorly (77%) constructed by donor-funded projects mainly for domestic water use and livestock (88%). With regards to irrigation, vegetable production was the dominant water use (60%) enabling rural farm households to gain over 40% of extra household income during the dry season. Results further showed that 4,274 km2 (22%) of the total land area for the Bougouni district, and 1,722 km2 (18%) of the Koutiala district are suitable for solar-based irrigation. The affordability of solar panels in many places makes SBISs to be an emerging climate-smart technology for most rural Malian populations.

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“…Arreyndip et al (2016) carried the wind energy potential assessment of Cameroon’s coastal regions for the installation of an onshore wind farm. Flora et al (2021) carried out the wind farm sites selection in Cameroon based on GIS using a Boolean method.…”

Section: Introductionmentioning

confidence: 99%

Comparative models for multi-step ahead wind speed forecasting applied for expected wind turbine power output prediction

2021

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This paper investigates six of the most widely used wind speed forecasting models for a combination of statistical and physical methods for the purpose of Wind Turbine Power Generation (WTPG) prediction in Cameroon. Statistical method based on both single static and dynamic neural networks architectures and two hybrid neural networks architectures in comparison to ARIMA model are employed for multi-step ahead wind speed forecasting in two Datasets in Bapouh, Cameroon. The physical method is used to estimate 1 day ahead expected WTPG for each Dataset using the previous predicted wind speed from better forecasting models. The obtained results of multi-step ahead forecasting showed that the ARIMA and nonlinear autoregression with exogenous input neural network (NARXNN) models perform well the wind speed forecasting than other forecasting models in both Datasets. The better performances of ARIMA are achieved with one-step ahead and two-step ahead forecasting, while NARXNN is better with one-step ahead forecasting. But NARXNN models have more computational time than other models such as ARIMA models. Furthermore, the effectiveness of employed hybrid method for WTPG prediction is proven.

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Selection Wind Farm Sites Based on GIS Using a Boolean Method: Evaluation of the Case of Cameroon

Cited by 8 publications

References 18 publications

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Solar-based irrigation systems as a game changer to improve agricultural practices in sub-Sahara Africa: A case study from Mali

Comparative models for multi-step ahead wind speed forecasting applied for expected wind turbine power output prediction

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