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Land Suitability Modeling For Ricecrop Based On An Integrated Multi-Criteria Decision Making In Quang Tri Province Of Vietnam

https://doi.org/10.24057/2071-9388-2021-017

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Abstract

The present study was aimed to determine the potential cultivated lands for rice crop production in Vietnam. Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TQPSIS) were employed in order to analyze the structure of an ideal solution in agriculture that focuses mainly on environmental, economic, and social sustainability. A final ranking of alternative development solutions was also accomplished. Three major factors were taken into consideration during the process, including the economics, social concerns, and the environment, in order to develop a sustainable plan for rice and other grain crops in the future. The obtained results demonstrate that the area under investigation in Quang Tri province, which encompasses 192.49 km2 of land area, was extremely conducive to growing rice crops, with the majority of the arable lands suitable for cultivating rice varieties concentrated in Trieu Long District (63.14 km2) and Hai Lang District (56.87 km2). The main findings of the present work indicated that, it can link decision makers with the influencing variables of rice crop growing utilizing a hybrid method that can be successfully used based on GIS technique. To expand production, chemical soil characteristics and agricultural development strategies should be investigated further, particularly in the studied areas with greater success potential.

About the Authors

Thi Hanh Tong
Le Quy Don Technical University, Bac Tu Liem District
Viet Nam

Ha Noi City



Mai Phuong Pham
Vietnam-Russia Tropical Centre
Viet Nam

Cau Giay District, Hanoi



Thi Quyen Bui
School of Business Administration, VNU University of Economics and Business
Viet Nam

Cau Giay District, Hanoi



Thi Mai Huong Nguyen
Vietnam National University of Forestry
Viet Nam

Chuong My District, Ha Noi



Thi Thu Nga Nguyen
Le Quy Don Technical University, Bac Tu Liem District
Viet Nam

Ha Noi City



Alexander E. Balakirev
Vietnam-Russia Tropical Centre; A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences
Viet Nam

Cau Giay District, Hanoi; Leninskii pr. 33, Moscow 119071



Altaf Hussain Lahori
Sindh Madressatul Islam University
Pakistan

Department of Environmental Sciences SMIU

Karachi



References

1. Akinci H., Ozalp A.Y., Turgut B. (2013). Agricultural land use suitability analysis using GIS and AHP technique. Computers and electronics in agriculture, 97, 71-82.

2. Al-Yamani W., Kennedy S., Sgouridis S., Yousef L.F. (2013). A land suitability study for the sustainable cultivation of the halophyte Salicornia bigelovii: the case of Abu Dhabi, UAE. Arid land research and management, 27(4), 349-360.

3. 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.

4. Bozdag A., Yavuz F., GQnay A.S. (2016). AHP and GIS based land suitability analysis for Cihanbeyli (Turkey) County. Environmental Earth Sciences, 75(9), 813.

5. Chau T.T.M., Chuong H.V., Phuong T.T. (2017). Mapping mapping of dangerous zone distribution on rice land based on the hydraulic standard indicator in hoa vang district, Da Nang city. Journal of Agricultural Science and Technology, 1(1), 17-26. (Vietnamese).

6. Dengiz O. (2013). Land suitability assessment for rice cultivation based on GIS modeling. Turkish Journal of Agriculture and Forestry, 37(3), 326-334.

7. Dieu N.T. (2017). Research on drought situation in summer-autumn rice cultivation by remote sensing technology and GIS in Dai Loc district, quang nam province. journal of science, Hue university. Journal of Social Sciences, Humanities and Education, 7(1), 1-8. (Vietnamese).

8. Estrada L.L., Rasche L., Schneider U.A. (2017). Modeling land suitability for Coffea arabica L. in Central America. Environmental Modelling & Software, 95, 196-209.

9. FAO (1983). Guidelines. Land Evaluation for Rainfed Agriculture. FAO Soils Bulletin No, 52, Rome.

10. FAO (1985). Guidelines. Land Evaluation for Irrigated Agriculture. FAO Soils Bulletin No, 55, Rome.

11. FAO (1993). FESLM: An international framework for evaluating sustainable land management. World soil resources report 73. FAO, Rome, Italy.

12. FAO (1976). A framework for land evaluation, Soil Bulletin 32. Food and agriculture organization of the United Nations, Rome.

13. Hummel J.M., Bridges J.F., IJzerman M.J. (2014). Group decision making with the analytic hierarchy process in benefit-risk assessment: a tutorial. The Patient-Patient-Centered Outcomes Research, 7(2), 129-140.

14. Huynh V.C., Nguyen H.K.L., Pham G.T., Tran T.P., Duong Q.N., Le. D.P. (2015). Research on drought situation in summer-autumn rice cultivation by remote sensing technology and GIS in Dai Loc district, Quang Nam province. Journal of Science, Hue University, 4(103). (Vietnamese).

15. Jamil M., Ahmed R., Sajjad H. (2018). Land suitability assessment for sugarcane cultivation in Bijnor district, India using geographic information system and fuzzy analytical hierarchy process. GeoJournal, 83(3), 595-611.

16. Kazemi H., Sadeghi S., Akinci H. (2016). Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran). Ecological Indicators, 63, 37-47.

17. Keisler J.M. (2008). The value of assessing weights in multi-criteria portfolio decision analysis. Journal of Multi-Criteria Decision Analysis, 15(5-6), 111-123.

18. Kihoro J., Bosco N.J., Murage H. (2013). Suitability analysis for rice growing sites using a multicriteria evaluation and GIS approach in great Mwea region, Kenya. SpringerPlus, 2(1), 1-9.

19. Malczewski J. (1999). GIS and multicriteria decision analysis. New York. Wiley.

20. Maleki F., Kazemi H., Siahmarguee A., Kamkar B. (2017). Development of a land use suitability model for saffron (Crocus sativus L.) cultivation by multi-criteria evaluation and spatial analysis. Ecological Engineering, 106, 140-153.

21. Ministry of Science and Technology of Vietnam. (2012). Instruction for agricultural production land evaluation of National Standard ISO 8409: 2012

22. Ozkan B., Dengiz O., Turan, i.D. (2020). Site suitability analysis for potential agricultural land with spatial fuzzy multi-criteria decision analysis in regional scale under semi-arid terrestrial ecosystem. Scientific Reports, 10(1), 1-18.

23. Quang Tri Provincial Committee (2020). Socio-economic summary report.

24. Quang Tri Statistical Office. (2019). Statistical Yearbook, Statistical Publishing House.

25. Rahmanipour F., Marzaioli R., Bahrami H.A., Fereidouni Z., Bandarabadi S.R. (2014). Assessment of soil quality indices in agricultural lands of Qazvin Province, Iran. Ecological indicators, 40, 19-26.

26. Rath S.S., Panda J., Annadurai R., Nanda S. (2018). A Study on Land Suitability for Rice Cultivation in Khordha District of Odisha (India) Using Remote Sensing and GIS. Earth Systems and Environment, 2(1), 119-132.

27. Saardchom N. (2012). The validation of analytic hierarchy process (AHP) scoring model. International Journal of Liability and Scientific Enquiry, 5(2), 163-179.

28. Saaty T.L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications, Pittsburg.

29. Saaty T.L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98.

30. Seyedmohammadi J., Sarmadian F., Jafarzadeh A.A., McDowell. R.W. (2019). Development of a model using matter element, AHP and GIS techniques to assess the suitability of land for agriculture. Geoderma, 352, 80-95.

31. Sezer I., Dengiz, O. (2014). Application of a multicriteria decision-making approach for rice land suitability analysis in Turkey. Turkish Journal of Agriculture and Forestry, 38(6), 926-934.

32. Stefanidis S., Stathis D. (2013). Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Natural hazards, 68(2), 569-585.

33. Suder A., Kahraman C. (2018). Multiattribute evaluation of organic and inorganic agricultural food investments using fuzzy TOPSIS. Technological and Economic Development of Economy, 24(3), 844-858.

34. Tang J., Wang C., Lin N., Li Z., Li H., Mao, Z. (2009). Application of matter-element model in soil nutrient evaluation of ecological fragile region. Chinese Geographical Science, 19(2), 168-176.

35. Vy N.D. (2014). Results of research and application of GIS technology and remote sensing technology to management of rice production in the Cuu Long river delta. Journal of Irrigation Science and Technology, 20, 1-12. (In Vietnamese).

36. Waqar M.M., Rehman, F., Ikram, M. (2013, July). Land suitability assessment for rice crop using geospatial techniques. In 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS ( 2844-2847).

37. IEEE.Zadeh L.A. (1965). Information and control. Fuzzy sets, 8(3), 338-353.

38. Zhang J., Su Y., Wu J., Liang H. (2015). GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Computers and Electronics in Agriculture, 114, 202-211.


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For citations:


Tong T., Pham M., Bui T., Nguyen T., Nguyen T., Balakirev A.E., Lahori A. Land Suitability Modeling For Ricecrop Based On An Integrated Multi-Criteria Decision Making In Quang Tri Province Of Vietnam. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2021;14(3):63-72. https://doi.org/10.24057/2071-9388-2021-017

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)