Application of MCE-AHP technical for modelling paddy zoning: A case study in Vietnam
DOI:
https://doi.org/10.12775/EQ.2023.013Keywords
GIS, land suitability, MCE-AHP, model, rice production, land appropriateness, productivity, potential adaptative classification mapAbstract
The main aim of present study was to determine the most suitable land for paddy via AHP - GIS and Remote Sensing. Ba Thuoc district - Thanh Hoa province was selected as the target area to conduct the experimental set-up. As per opinion of scientists and the guidance of World Food Organization (FAO) on agricultural crops, the criteria selected to estimate the ecological adaptation of crops include soil type, soil texture, soil depth, soil pH, N (%), elevation, slope, distance from rivers, yearly precipitation, low-average and high temperature, average sunny hours, saltwater intrusion. The land suitability map was generated by superimposing the component maps considering the weighting of the criteria. The obtained results showed that in the experimental area nearly 8.26% of the land-use region was very appropriate for rice growing, 26.29% was observed medium appropriate, 43.35% was less appropriate and 22.1% was not fit for paddy cultivation. Overall, the data may be of value for country government, policy makers, managers as well as local authorities to induce local farmers for paddy production on most suitable areas
References
Akıncı H., Özalp A.Y. & Turgut B., 2013, Agricultural land use suitability analysis using GIS and AHP technique. Computers and electronics in agriculture 97: 71–82.
Al-Sababhah N.M. & Hazaymeh, K., 2019, GIS and Remote Sensing-based Evaluation of Vegetation Diversity due to Topography in Semi-Arid Environment. Dirasat: Human and Social Sciences 46(1, Supplement 2): 467–485.
Bagheri M., Sulaiman W.N.A. & Vaghefi N., 2013, Application of geographic information system technique and analytical hierarchy process model for land-use suitability analysis on coastal area. Journal of Coastal Conservation 17(1): 1–10.
Cengiz T. & Akbulak C., 2009, Application of analytical hierarchy process and geographic information systems in land-use suitability evaluation: a case study of Dümrek village (Çanakkale, Turkey). International Journal of Sustainable Development & World Ecology 16(4): 286–294.
Conway G., 2012, One Billion Hungry: Can We Feed the World. Cornell University Press, Ithaca, NY, USA.
De la Rosa D., Mayol F., Díaz-Pereira E., Fernandez M. & de la Rosa Jr, D., 2004. A land evaluation decision support system (MicroLEIS DSS) for agricultural soil protection: With special reference to the Mediterranean region. Environmental Modelling & Software 19(10): 929–942.
De la Rosa D., Moreno J.A., García L.V. & Almorza J., 1992, MicroLEIS: A microcomputer‐based Mediterranean land evaluation information system. Soil Use and Management 8(2): 89–96.
Ding Y., Wang W., Zhuang Q. & Luo Y., 2020, Adaptation of paddy rice in China to climate change: The effects of shifting sowing date on yield and irrigation water requirement. Agricultural Water Management 228: 105890.
El-Sheikh R.F.A., Ahmad N., Shariff A.R.M., Balasundram S.K. & Yahaya S., 2010, An agricultural investment map based on geographic information system and multi-criteria method. Journal of Applied Sciences 10(15): 1596–1602.
Everest T.İ.M.U.Ç.İ.N., Sungur A. & Özcan H., 2021. Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey. International Journal of Environmental Science and Technology 18(5): 1073–1088.
FAO, 2007, Land Evaluation Towards a Revised Framework. Food and Agriculture Organization of the United Nations, Rome, Italy.
Fick S.E. & Hijmans R.J., 2017, WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37: 4302–4315.
Food and Agriculture Organization of the United Nations (FAO), 1976, A framework for land evaluation. Soils bulletin, No. 32. FAO, Rome.
Gerland P., Raftery A.E., Ševčíková H., Li N., Gu D., Spoorenberg T. & Wilmoth J., 2014, World population stabilization unlikely this century. Science 346(6206): 234–237.
Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G. & Jarvis, A., 2005, Very high-resolution interpolated climate surfaces for global land areas. International Journal of Climatology: A Journal of the Royal Meteorological Society, 25(15): 1965–1978.
HLPE, 2017, Nutrition and food systems. A report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security. Food and Agriculture Organization of the United Nations, Rome, Italy, 152 pp. http://www.fao.org/3/a-i7846e.pdf.
Hoobler B.M., Vance G.F., Hamerlinck J.D., Munn L.C. & Hayward J.A., 2003, Applications of land evaluation and site assessment (LESA) and a geographic information system (GIS) in East Park County, Wyoming. Journal of Soil and Water Conservation, 58(2): 105–112.
Hussain T., Ahmed S.R., Lahori A.H., Mierzwa-Hersztek M., Vambol V., Khan A.A., Rafique L., Wasia S., Shahid M.F. & Zengqiang Z., 2022, In-situ stabilization of potentially toxic elements in two industrial polluted soils ameliorated with rock phosphate-modified biochars. Environmental Pollution, 309: 119733.
Jones P. & Wint W., 2015, Data set produced by Waen Associates for Environmental Research Group Oxford, Limited, funded by the International Research Consortium on Dengue Risk Assessment, Management and Surveillance (IDAMS), European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 281803.
Khoi D.D. & Murayama Y., 2010, Delineation of Suitable Cropland Areas Using a GIS Based Multi-Criteria Evaluation Approach in the Tam Dao National Park Region, Vietnam. Sustainability 2: 2024–2043. DOI:10.3390/su2072024
Liu Y., Lv X., Qin X., Guo H., Yu Y., Wang J. & Mao, G., 2007, An integrated GIS-based analysis system for land-use management of lake areas in urban fringe. Landscape and urban planning, 82(4): 233–246.
Mulugeta H., 2010, Land Suitability and Crop Suitability Analysis Using Remote Sensing and GIS Application of Legambo district in Ethiopia. Addis Ababa University, School of Graduate Studies, Department of Earth Science, Addis Ababa. https://staffsites.sohag-univ.edu.eg/uploads/1027/1536999240%20%20Land%20suitability%20and%20Crop%20suitability%20Analysis.pdf
Nguyen D.V., 2014, Results of research and application of GIS technology and remote sensing technology to management of paddy production in the Cuu Long River delta. Journal of Irrigation Science and Technology 20: 1–12 (in Vietnamese).
Nguyen N.B., 2019, Characteristics of Southeast Asian wet rice culture. A Brief History of the Vietnamese Tribe.
OECD (Organisation for Economic Co-operation and Development), 2009, POLICY GUIDANCE, Integrating Climate Change Adaptation into Development Co-operation, 58–62, https://www.oecd.org/env/cc/44887764.pdf.
Oñate-Valdivieso F. & Sendra J.B., 2010, Application of GIS and remote sensing techniques in generation of land use scenarios for hydrological modeling. Journal of Hydrology 395(3-4): 256–263.
Saaty T.L, 2008, Decision making with the analytic hierarchy process. International Journal of Services Sciences 1: 83–98.
Saaty T.L., 1994, How to make a decision-the analytic hierarchy
process. Interfaces 24(6): 19–43.
Shaloo Singh R.P., Bisht H., Jain R., Suna T., Bana R.S., Godara S., Shivay Y.S., Singh N., Bedi J., Begam S. & Tamta M., 2022, Crop-Suitability Analysis Using the Analytic Hierarchy Process and Geospatial Techniques for Cereal Production in North India. Sustainability 14: 5246.
Sydorenko V., Yeremenko S., Vambol V., Vambol S. & Poberezhna L., 2022, Distribution and influence of forest fires on the ecological and radiation situation in radioactively contaminated areas. Procedia Structural Integrity 36: 318–325.
Tong T.H., Pham M.P., Bui T.Q., Nguyen T.M.H., Nguyen T.T.N., Balakirev A.E. & Lahori A.H., 2021, Land Suitability Modeling For Ricecrop Based Qn An Integrated Multi-Criteria Decision Making In Quang Tri Province of Vietnam. Geography, Environment, Sustainability 14(3): 63–72.
Valin H., Hertel T., Bodirsky B. L., Hasegawa T. & Stehfest E., 2021, Achieving Zero Hunger by 2030: A Review of Quantitative Assessments of Synergies and Trade-Offs among the UN Sustainable Development Goals. United Nations Food Systems Summit 2021
Scientific Group, 51 pp.
Wang X., 2022, Managing Land Carrying Capacity: Key to Achieving Sustainable Production Systems for Food Security. Land 11(4): 484.
Ziarati P., Moradi D., Rodriguez L.C., Hochwimmer B., Vambol V. & Vambol S., 2022, Biofortification of Oryza sativa L. with agri-food waste to improve the dietary value of crops. Ecological Questions 33(1): 47–54.
Ziarati P., Vambol V. & Vambol S., 2020, Use of inductively coupled plasma optical emission spectrometry detection in determination of arsenic bioaccumulation in Trifolium pratense L. from contaminated soil. Ecological Questions 31(1): 15–22.
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Copyright (c) 2022 Tong Thi Hanh, Mai-Phuong Pham, Nguyen Thi Thu Nga, Samreen Riaz Ahmed, Altaf Hussain Lahori, Nataliia Borodina
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