scholarly journals Land Suitability Evaluation for Cereal Crops: A Multicriteria Approach Using GIS at Parbatipur VDC, Chitwan, Nepal

2014 ◽  
Vol 2 (4) ◽  
pp. 493-500 ◽  
Author(s):  
B. Neupane ◽  
C.P. Shriwastav ◽  
S.C. Shah ◽  
K. Sah
Keyword(s):  
Rice Cultivation ◽  
Geographical Information ◽  
Cereal Crops ◽  
Maize Production ◽  
Suitability Evaluation ◽  
Index Model ◽  
Crop Suitability ◽  
Multi Criteria Evaluation ◽  
Wheat Cultivation ◽  
New Research

A research was conducted to evaluate the suitability of soils of different land unit for cereal crops productions at Parbatipur VDC, Chitwan, Nepal with the integrated use of Geographical Information system (GIS) and Multi-criteria evaluation (MCE).Existing geodatabase information from National Land Use Project (NLUP) was used as data for this research. The database was used to derive crop suitability using vector based index model in GIS along with multi-criteria analysis. The research revealed that for rice cultivation, 1.06 %( 10.70ha) was highly suitable, 51.54 %( 515.89ha) was moderately suitable, 3.39% (33.987 ha) was marginally suitable but 28.28 %( 283.11 ha) was not suitable whereas for wheat cultivation, 7.6 %( 76.73ha) was highly suitable, 44.91% (449.53 ha) was moderately suitable and 4.6% (46.26ha) was marginally suitable, but 27.15% (27.14ha) was not suitable. Similarly, for maize cultivation, 12.07% (120.83ha) was highly suitable, 40.19% (402.25ha) was moderately suitable and 0.53% (5.37ha) was marginally suitable, but 31.54% (315.72ha) was not suitable for maize production. Suitability data of this VDC shows that maize and wheat was highly suitable than rice cultivation. But, the area not suitable for rice, wheat and maize must be allocated for alternative uses to achieve optimum productions and further there must be new research for alternative crops in VDC. Hence, this research is useful to farmers and VDC level planners for optimum crops production. DOI: http://dx.doi.org/10.3126/ijasbt.v2i4.11279Int J Appl Sci Biotechnol, Vol. 2(4): 493-500 

scholarly journals Land suitability evaluation for cereal crops: a multicriteria approach using GIS at Parbatipur VDC, Chitwan, Nepal

2018 ◽  
pp. 55-64
Author(s):  
B. Neupane ◽  
C. P. Shriwastav ◽  
S. C. Shah ◽  
K. Sah
Keyword(s):  
Multicriteria Analysis ◽  
Geographical Information ◽  
Cereal Crops ◽  
Maize Production ◽  
Suitability Evaluation ◽  
Index Model ◽  
Crop Suitability ◽  
Multi Criteria Evaluation ◽  
Wheat Cultivation ◽  
New Research

A research was conducted to evaluate the suitability of soils of different land unit for cereal crops productions at Parbatipur VDC, Chitwan, Nepal with the integrated use of Geographical Information system (GIS) and Multi-criteria evaluation (MCE).Existing geodatabase information from National Land Use Project (NLUP) was used as data for this research. The database was used to derive crop suitability using vector based index model in GIS along with multicriteria analysis. The research revealed that for rice cultivation, 1.06 %(10.70ha) was highly suitable,51.54 %(515.89ha) was moderately suitable, 3.39% (33.987 ha) was marginally suitable but 28.28 %( 283.11 ha) was not suitable whereas for wheat cultivation, 7.6%(76.73ha) was highly suitable, 44.91% (449.53 ha) was moderately suitable and 4.6% (46.26ha) was marginally suitable, but 27.15% (27.14ha) was not suitable. Similarly, for maize cultivation, 12.07% (120.83ha) was highly suitable, 40.19% (402.25ha) was moderately suitable and 0.53% (5.37ha) was marginally suitable, but 31.54% (315.72ha) was not suitable for maize production. Hence, the area not suitable for rice, wheat and maize must be allocated for alternative uses to achieve optimum productions and further there must be new research for alternative land uses in VDC, where these crops were not suitable for optimum productions.Journal of the Institute of Agriculture and Animal Science. Vol. 33-34, 2015, Page: 55-64

scholarly journals Quantitative Land Suitability Mapping for Crop Cultivation

2018 ◽  
Vol 20 (3) ◽  
pp. 77-83
Author(s):  
Svitlana Kokhan ◽  
Antonina Moskalenko ◽  
Oleg Drozdivskyi
Keyword(s):  
Knowledge Base ◽  
Geographical Information Systems ◽  
Climatic Conditions ◽  
Land Suitability ◽  
Geographical Information ◽  
Crop Cultivation ◽  
Suitability Assessment ◽  
Crop Suitability ◽  
Multi Criteria Evaluation ◽  
Gis Environment

Developing the structure of geodatabase and knowledge base to provide quantitative mapping of land suitability for cultivation the main crops has been shown in the research. The general model and catalogs of knowledge base were designed that are structuring and formalizing information for creating thematic and complex maps and geomodels. The real world spatial problems give rise to multi-criteria decision-making based on geographical information systems (GIS). The GIS environment provides both aggregation and spatial analysis of various georeferenced data. In this paper, the two approaches of multi-criteria evaluation (MCE) are represented - overlaying with the AND operation and the lowest score assignment on one criterion. An example of multi-attribute decision analysis is done using criteria for the crop suitability assessment. A comparison of those two approaches has been made, based on results of the land-use suitability mapping for the study crops - winter wheat, sunflower and corn. The results demonstrated that at certain locations, a range of criteria values, according to the AND operations had the lower applicability and less flexibility than according to the second approach, based on the lowest score assignment on one criterion. Designed maps characterize the threshold status of the soil quality to provide yields of studied crops on certain areas. A set of land suitability maps, designed as quantitative models of integration of environmental, soil and climatic conditions, would be very effective to manage the complex decisions under the crop cultivation.

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 Potential of Water Hyacinth Infestation on Lake Tana, Ethiopia: A Prediction Using a GIS-Based Multi-Criteria Technique

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1921 ◽  
Author(s):  
Dersseh ◽  
Kibret ◽  
Tilahun ◽  
Worqlul ◽  
Moges ◽  
...  
Keyword(s):  
Water Hyacinth ◽  
Geographical Information ◽  
Lake Depth ◽  
Invasive Weed ◽  
Lake Tana ◽  
The North ◽  
Multi Criteria Evaluation ◽  
The World ◽  
Major Factors ◽  
And Control

Water hyacinth is a well-known invasive weed in lakes across the world and harms the aquatic environment. Since 2011, the weed has invaded Lake Tana substantially posing a challenge to the ecosystem services of the lake. The major factors which affect the growth of the weed are phosphorus, nitrogen, temperature, pH, salinity, and lake depth. Understanding and investigating the hotspot areas is vital to predict the areas for proper planning of interventions. The main objective of this study is therefore to predict the hotspot areas of the water hyacinth over the surface of the lake using the geographical information system (GIS)-based multi-criteria evaluation (MCE) technique. The main parameters used in the multi-criteria analysis were total phosphorus (>0.08 mg L−1), total nitrogen (>1.1 mg L−1), temperature (<26.2 °C), pH (<8.6), salinity (<0.011%), and depth (<6 m). These parameters were collected from 143 sampling sites on the lake in August, December (2016), and March (2017). Fuzzy overlay spatial analysis was used to overlay the different parameters to obtain the final prediction map of water hyacinth infestation areas. The results indicated that 24,969 ha (8.1%), 21,568.7 ha (7.1%), and 24,036 ha (7.9%) of the lake are susceptible to invasion by the water hyacinth in August, December, and March, respectively. At the maximum historical lake level, 30,728.4 ha will be the potential susceptible area for water hyacinth growth and expansion at the end of the rainy season in August. According to the result of this study, the north and northeastern parts of the lake are highly susceptible for invasion. Hence, water hyacinth management and control plans shall mainly focus on the north and northeastern part of Lake Tana and upstream contributing watersheds.

scholarly journals USING GIS FOR DEVELOPING SUSTAINABLE URBAN GROWTH CASE KYRENIA REGION

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 263-268 ◽  
Author(s):  
C. Kara ◽  
N. Akçit
Keyword(s):  
Urban Development ◽  
Environmental Protection ◽  
Urban Growth ◽  
Geographical Information Systems ◽  
Planning Process ◽  
Central Zone ◽  
Geographical Information ◽  
Sustainable Urban Development ◽  
Soil Productivity ◽  
Multi Criteria Evaluation

<p><strong>Abstract.</strong> It is critical to develop urban layers for analysis sustainable urban development possibilities within planning process. Kyrenia Region has many physical, environmental or economic issues that may danger the growth possibilities in sustainable manner. From this point, this study uses different spatial layers such as slope, distance to roads, distance to central zone, vegetation, soil productivity, environmental protection zones, distance to open/green space, distance to education for supporting sustainable urban growth policies and define suitable areas for urban development within this perspective. The study tries to convert sustainable urban growth policies such as; compact growth, environmental protection, equal accessibility to basic services; into spatial layers and establish proper framework for multi criteria evaluation in Kyrenia Region within using geographical information systems. It shows suitability values for Kyrenia region and constraints zones at final section. It clearly presents the suitable areas for the sustainable urbanization and also unsuitable or risky areas for reducing the possible disasters and may happen in the future.</p>

Land-use suitability evaluation for organic rice cultivation using Fuzzy-AHP ELECTRE method

2021 ◽  
Vol 7 (1) ◽  
pp. 1-15
Author(s):  
Ircham Ali ◽  
◽  
Vincensius Gunawan ◽  
Kusworo Adi ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Fuzzy Ahp ◽  
Land Suitability ◽  
Rice Cultivation ◽  
Suitability Evaluation ◽  
Organic Rice ◽  
Land Use Suitability ◽  
Comparison Results ◽  
Electre Method

Land conversion to organic agriculture is the answer to land degradation problems that interfere with land resources sustainability. An evaluation of land-use suitability is crucial to measure the appropriateness of land for agricultural cultivation. Specifically, organic rice cultivation has some particular standard criteria such as temperature, rainfall, soil depth, pH, c-organic, slope, erosion level, a transition period that influence ranking results, and land suitability classes. Eight organic farmlands were used as alternatives, namely Sawangan, Mangunsari, Tirtosari, Podosoko, Butuh, Krogowanan, Kapuhan, and Jati. Fuzzy Analytic Hierarchy process is used to determine the level of importance of the criteria based on weight assessments by three agricultural experts. The ELECTRE method is applied to rank the most suitable land from several alternatives for organic rice cultivation. The combination of these two multi-criteria decision-making methods complements each other to solve problems in land suitability evaluation. A web-based decision support system (DSS) was created to accelerate data processing integration and present factual information from the land suitability selection process. The implementation of DSS with fuzzy-AHP ELECTRE for evaluating land-use suitability in organic rice cultivation provided the best score for Tirtosari with Ekl=4 and spearman rank correlation the system comparison results with actual data rs=0.95. This study's results indicate that integrating the web with fuzzy-AHP ELECTRE is quite effectively applied for decision-making in organic farming.

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