scholarly journals Evaluation of land suitability for Oilseeds crops (Sesame and Groundnut) using GIS and Multi-criteria evaluation: A case study of Diga District, East Wollega Zone, Western Ethiopia

2021 ◽  
Author(s):  
Biratu Bobo Merga ◽  
Mitiku Badasa Moisa ◽  
Dessalegn Obsi Gemeda
Keyword(s):  
Soil Depth ◽  
Land Suitability ◽  
Decision Makers ◽  
Climate Data ◽  
Soil Drainage ◽  
Farming Communities ◽  
Multi Criteria Evaluation ◽  
Suitability Maps ◽  
Western Ethiopia

Abstract Sesame and groundnut crops are the major oilseeds crops produced for exports and local consumptions in the Ethiopia. This study attempted to evaluate land suitability for oilseeds crops using Geographic Information Systems (GIS) and Multi-criteria evaluation (MCE), in the case of Diga district, East Wollega zone, Western Ethiopia. By integrating GIS and MCE techniques land suitability maps for sesame and groundnut were produced. Climate data (Temperature and rainfall), topography data (Slope), soil data (Soil texture, soil depth and soil drainage), infrastructure data (Road and market) were used in this study. The result of the study revealed that, about 252.1ha (0.4%) and 113.1ha (0.2%) were highly suitable for sesame and groundnut crops, respectively. Our results show that most parts of the study area were moderately suitable for sesame and groundnut production. Specially, the central and western parts of the study area are highly suitable and moderately suitable for sesame production. Findings of this study can support the farming communities and decision makers through providing highly productive areas for sesame and groundnut production.

Site Suitability Analysis for Water Conservation Using AHP and GIS Techniques: A Case Study of Upper Sina River Catchment, Ahmednagar (India)

2020 ◽  
Vol 3 (2) ◽  
pp. 49-59 ◽  
Author(s):  
Yogesh Badhe ◽  
Ravindra Medhe ◽  
Tushar Shelar
Keyword(s):  
Water Conservation ◽  
Soil Depth ◽  
Land Use Land Cover ◽  
Suitability Analysis ◽  
Site Suitability ◽  
Gis Techniques ◽  
Multi Criteria Evaluation ◽  
Conservation Activity ◽  
Suitable Site

The site suitability for construction of water conservation structures is an important step towards groundwater conservation in arid and semi-arid regions. Water is the most crucial for maintaining an environment and ecosystem which is helpful to sustaining all forms of the life. The increasing water scarcity day to day has been one of the common problems over a period of time. On top of it, when the area is a part of rain shadow zone like Ahmednagar district, water conservation activities are become more important. The present study aims to identify the suitable zones for water conservation activity. Multi- criteria evaluation is carried out using Geographic Information System (GIS) techniques to help the choice makers in defining suitable site for construction of water conservation structures. Different layers which were considered for multi-criteria evaluation: slope, land use land cover, soil texture, lithology, soil depth, soil erosion, wells, lineaments and drainage network. Analytical Hierarchy Processes (AHP) is used for weighted sum to find suitable sites for implementation of water conservation activity using selected criterions. The site suitability map was classified into four classes: highly suitable, moderately suitable, less suitable and not suitable with area of 19.19%, 26%, 49.03% and 5.78, respectively. This map will help for selection of suitable sites for construction of Mati Nala Bund (MNB), Check Dam, Cement Nala Bund (CNB) and Continuous Contour Trenches (CCT) for conservation of groundwater resource in the region.

Using Multicriteria Evaluation and GIS for the Land-Use of Urban Agricultural Development in Delft, The Netherlands

2012 ◽  
Vol 518-523 ◽  
pp. 6056-6060
Author(s):  
Li Jie He ◽  
Paolo Vincenzo Genovese
Keyword(s):  
Land Use ◽  
Information System ◽  
The Netherlands ◽  
Urban Agriculture ◽  
Agricultural Development ◽  
Human Intervention ◽  
Multi Criteria Evaluation ◽  
Suitability Maps ◽  
The City

This article investigates a strategy for the distribution of land to develop urban agriculture, and speculate how to apply Geographic Information System (GIS) and Multi-criteria Evaluation (MCE) for determining the location and level of conflict between agriculture and other forms of human intervention. The procedure is applied on a case study in the city of the Netherlands: Delft. And the findings expect to produce a model which shows a set of suitability maps, using which planners may quickly compare scenarios and make a decision.

scholarly journals Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 573 ◽  
Author(s):  
Ruhollah Taghizadeh-Mehrjardi ◽  
Kamal Nabiollahi ◽  
Leila Rasoli ◽  
Ruth Kerry ◽  
Thomas Scholten
Keyword(s):  
Machine Learning ◽  
Agricultural Land ◽  
Soil Depth ◽  
Traditional Approach ◽  
Soil Samples ◽  
Land Suitability ◽  
Agricultural System ◽  
Climate Data ◽  
Suitability Assessment ◽  
Land Suitability Assessment

Land suitability assessment is essential for increasing production and planning a sustainable agricultural system, but such information is commonly scarce in the semi-arid regions of Iran. Therefore, our aim is to assess land suitability for two main crops (i.e., rain-fed wheat and barley) based on the Food and Agriculture Organization (FAO) “land suitability assessment framework” for 65 km2 of agricultural land in Kurdistan province, Iran. Soil samples were collected from genetic layers of 100 soil profiles and the physical-chemical properties of the soil samples were analyzed. Topography and climate data were also recorded. After calculating the land suitability classes for the two crops, they were mapped using machine learning (ML) and traditional approaches. The maps predicted by the two approaches revealed notable differences. For example, in the case of rain-fed wheat, results showed the higher accuracy of ML-based land suitability maps compared to the maps obtained by traditional approach. Furthermore, the findings indicated that the areas with classes of N2 (≈18%↑) and S3 (≈28%↑) were higher and area with the class N1 (≈24%↓) was less predicted in the traditional approach compared to the ML-based approach. The major limitations of the study area were rainfall at the flowering stage, severe slopes, shallow soil depth, high pH, and large gravel content. Therefore, to increase production and create a sustainable agricultural system, land improvement operations are suggested.

scholarly journals Multi-criteria decision making for determining landfill location in Malaka Regency, East Nusa Tenggara Province of Indonesia

2022 ◽  
Vol 9 (2) ◽  
pp. 3405-3413
Author(s):  
Leonarda Sofiani Rame ◽  
W Widiatmaka ◽  
Arief Hartono ◽  
Irman Firmansyah
Keyword(s):  
Decision Making ◽  
Soil Depth ◽  
Land Suitability ◽  
Multi Criteria Decision Making ◽  
Suitability Analysis ◽  
Soil Drainage ◽  
Illegal Waste Disposal ◽  
Illegal Waste ◽  
Hierarchy Process ◽  
Stone Type

The absence of a landfill has increased the illegal waste disposal sites in Malaka Regency, which was established between 2013 and 2021. Therefore, this study aimed to analyze suitable and available land for the development of a landfill. The methodology used consisted of 2 analysis steps, namely land suitability and land availability. Land suitability was analyzed using a multi-criteria decision-making method, which included the slope, stone type/geology, lithology, soil type, soil texture, soil depth, soil drainage, distance from settlements, and water sources. The criteria were then weighted using the Analytical Hierarchy Process (AHP) and geographic information system for overlaying. Furthermore, the results of the land suitability analysis were used to determine its availability with the aid of spatial and regional planning (RTRW), land use, and forest area maps. The results showed that the highly suitable (S1) and available terrain for the landfill in Malaka Regency covered an area of 203.37 ha or 1.73% of the regency. Also, the analysis results indicated that there was still adequate land available for the landfill.

scholarly journals Optimization of Land Use Based on Land Suitability Class for the Development of Red Chillies in Jember Regency

2022 ◽  
Vol 9 (1) ◽  
pp. 163-170
Author(s):  
Rindha Rentina Darah Pertami ◽  
E Eliyatiningsih ◽  
Abdurrahman Salim ◽  
B Basuki
Keyword(s):  
Agricultural Development ◽  
Raw Materials ◽  
Soil Depth ◽  
Economic Value ◽  
Secondary Data ◽  
Exchange Capacity ◽  
Land Suitability ◽  
Soil Drainage ◽  
Soil Cation Exchange Capacity ◽  
Food Needs

Chilli (Capsicum annum L.) is a horticulture comodities that high demand because it has a high economic value. The demand of Chilli increase every year as the population grows and the industry grows which requires Chilli as raw materials. The productivity of red chili in Jember Regency is also low, which is only 87.68 quintals hectare-1. Fluctuations in red chili production that occurred in the Jember area were caused by several things including an unsupportive environment such as declining soil fertility, high pest attacks, and excessive use of pesticides. Therefore there is a need for agricultural development in order to be able to meet food needs and increase export opportunities to neighboring countries. The parameters observed in this study were secondary data from the soil unit map. The secondary data referred to are soil drainage, soil depth in cm, slope related to erosion, altitude, standing water, soil cation exchange capacity, and soil pH. The improvement efforts made to improve the land suitability class is by setting the spacing, giving organic matter, agricultural lime, P fertilization, cutting and filling the land with a mound terrace system or bench terrace to reduce soil erosion.

scholarly journals Integrated Impact Assessment for Sustainable Hydropower Planning in the Vjosa Catchment (Greece, Albania)

2021 ◽  
Vol 13 (3) ◽  
pp. 1514
Author(s):  
Rebecca Peters ◽  
Jürgen Berlekamp ◽  
Ana Lucía ◽  
Vittoria Stefani ◽  
Klement Tockner ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Planning Process ◽  
Renewable Energy Sources ◽  
Decision Makers ◽  
Catchment Scale ◽  
Northern Greece ◽  
Hydropower Plants ◽  
Hydropower Planning

Mitigating climate change, while human population and economy are growing globally, requires a bold shift to renewable energy sources. Among renewables, hydropower is currently the most economic and efficient technique. However, due to a lack of impact assessments at the catchment scale in the planning process, the construction of hydropower plants (HPP) may have unexpected ecological, socioeconomic, and political ramifications in the short and in the long term. The Vjosa River, draining parts of Northern Greece and Albania, is one of the few predominantly free-flowing rivers left in Europe; at the same time its catchment is identified an important resource for future hydropower development. While current hydropower plants are located along tributaries, planned HPP would highly impact the free-flowing main stem. Taking the Vjosa catchment as a case study, the aim of this study was to develop a transferable impact assessment that ranks potential hydropower sites according to their projected impacts on a catchment scale. Therefore, we integrated established ecological, social, and economic indicators for all HPP planned in the river catchment, while considering their capacity, and developed a ranking method based on impact categories. For the Vjosa catchment, ten hydropower sites were ranked as very harmful to the environment as well as to society. A sensitivity analysis revealed that this ranking is dependent upon the selection of indicators. Small HPP showed higher cumulative impacts than large HPP, when normalized to capacity. This study empowers decision-makers to compare both the ranked impacts and the generated energy of planned dam projects at the catchment scale.

scholarly journals Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research

2021 ◽  
pp. 155626462110027
Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Health Research ◽  
Decision Makers ◽  
Societal Impact ◽  
The Past ◽  
Research And Innovation ◽  
The United Kingdom ◽  
Responsible Research ◽  
Past Half

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

scholarly journals Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 295
Author(s):  
Yuan Gao ◽  
Anyu Zhang ◽  
Yaojie Yue ◽  
Jing’ai Wang ◽  
Peng Su
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Large Scale ◽  
Land Suitability ◽  
Large Scale Assessment ◽  
Scale Assessment ◽  
Maize Cultivation ◽  
Large Scale Screening ◽  
Selection Of

Suitable land is an important prerequisite for crop cultivation and, given the prospect of climate change, it is essential to assess such suitability to minimize crop production risks and to ensure food security. Although a variety of methods to assess the suitability are available, a comprehensive, objective, and large-scale screening of environmental variables that influence the results—and therefore their accuracy—of these methods has rarely been explored. An approach to the selection of such variables is proposed and the criteria established for large-scale assessment of land, based on big data, for its suitability to maize (Zea mays L.) cultivation as a case study. The predicted suitability matched the past distribution of maize with an overall accuracy of 79% and a Kappa coefficient of 0.72. The land suitability for maize is likely to decrease markedly at low latitudes and even at mid latitudes. The total area suitable for maize globally and in most major maize-producing countries will decrease, the decrease being particularly steep in those regions optimally suited for maize at present. Compared with earlier research, the method proposed in the present paper is simple yet objective, comprehensive, and reliable for large-scale assessment. The findings of the study highlight the necessity of adopting relevant strategies to cope with the adverse impacts of climate change.

Do different types of organizational trust matter to employees’ commitment? A case study from Oman

2020 ◽  
pp. 1-11
Author(s):  
Moaz Gharib ◽  
Kamaal Allil ◽  
Omar Durrah ◽  
Mohammed Alsatouf
Keyword(s):  
Online Survey ◽  
Employee Commitment ◽  
Decision Makers ◽  
Design Strategies ◽  
Food Sector ◽  
Final Sample ◽  
Organisational Trust ◽  
Positive Effect ◽  
Practical Implications

PURPOSE: Trust is vital to all positive relationships. This empirical study explores the effect of three facets of organisational trust (trust in supervisors, in co-workers and in the organisation) on employee commitment in Salalah Mills Co. in the food industry in the Sultanate of Oman. METHODOLOGY: Data were collected via an online survey sent to all employees working in Salalah Mills Co., Oman. The final sample consisting of 102 responses with a response rate of 54 percent were analysed using multiple regression analysis. RESULTS: The findings revealed that two facets of organisational trust (trust in co-workers and trust in supervisors) were found to have a significant positive effect on employee commitment, while trust in the organisation was found to have no significant effect. PRACTICAL IMPLICATIONS: Trust in supervisors and trust in co-workers directly affect employee commitment. Therefore, managers should consider promoting both of these forms of trust to enhance employee commitment. VALUE: Although previous studies have examined the link between organisational trust and employee commitment, a focus on Oman and the food sector has been particularly rare, so this study offers new insights. The findings will help decision-makers on design strategies and policies to improve employee commitment through trust.

scholarly journals Conformity of the NASADEM_HGT and ALOS AW3D30 DEM with the Altitude from the Brazilian Geodetic Reference Stations: A Case Study from Brazilian Cerrado

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2935
Author(s):  
Giovana Maranhão Bettiol ◽  
Manuel Eduardo Ferreira ◽  
Luiz Pacheco Motta ◽  
Édipo Henrique Cremon ◽  
Edson Eyji Sano
Keyword(s):  
Decision Makers ◽  
Surface Model ◽  
Brazilian Cerrado ◽  
Digital Elevation ◽  
Class B ◽  
Crucial Information ◽  
Error Standard Deviation ◽  
Elevation Model ◽  
Main Region

The Brazilian Cerrado (tropical savanna) is the second largest biome in South America and the main region in the country for agricultural production. Altitude is crucial information for decision-makers and planners since it is directly related to temperature that conditions, for example, the climatic risk of rainfed crop plantations. This study analyzes the conformity of two freely available digital elevation models (DEMs), the NASADEM Merged Digital Elevation Model Global 1 arc second (NASADEM_HGT) version 1 and the Advanced Land Observing Satellite Global Digital Surface Model (ALOS AW3D30), version 3.1, with the altitudes provided by 1695 reference stations of the Brazilian Geodetic System. Both models were evaluated based on the parameters recommended in the Brazilian Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD), which defines error tolerances according to eight different scales (from 1:1000 to 1:250,000) and classes A (most strict tolerance, for example, 0.17 m for 1:1000 scale), B, C, and D (least strict tolerance, for example, 50 m for 1:250,000 scale). Considering the class A, the NASADEM_HGT meets 1:250,000 and lower scales, while AW3D30 meets 1:100,000 and lower scales; for class B, NASADEM_HGT meets 1:100,000 scale and AW3D30 meets 1:50,000. AW3D30 presented lower values of root mean square error, standard deviation, and bias, indicating that it presents higher accuracy in relation to the NASADEM_HGT. Within eight of Cerrado’s municipalities with the highest grain production, the differences between average altitudes, measured by the Cohen’s effect size, were statistically insignificant. The results obtained by the PEC-PCD for the Cerrado biome indicate that both models can be employed in different DEM-dependent applications over this biome.

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