Clustering Analysis of Soil Environmental Quality for Perennial Crop Recommendations in Vinh Long Province, Vietnam

• Autorzy: Minh Vo Quang , Vu Pham Thanh , Khoa Le Van , Tinh Tran Kim , Dang Pham Cam

Identyfikatory

DOI

10.12911/22998993/166753

• Języki publikacji: EN

Abstrakty

EN

The study aimed to evaluate the soil environmental characteristics of Vinh Long Province’s perennial crop-growing area using principal component analysis (PCA) and cluster analysis (CA). Soil environmental quality data were collected in eight districts of Vinh Long province for 27 physical and chemical parameters. CA and PCA analysis was used to group and identify critical parameters affecting perennial crops’ soil environment. The findings demonstrate low to moderate soil compaction porosity, buffering capacity, and structure for perennial crops. In addition, the soil has a low pH, electrical conductivity, total soluble salts, aluminum, and cation exchange capacity. Although rich in nutrients, the content of organic matter, available phosphorus, cations, and trace elements is only low to moderate. CA results showed three districts suitable for strongly developing perennial crops: Tra On, Mang Thit, and Vung Liem. The PCA results showed that except for density, the buffer capacity of the soil, and dissolved Al³⁺, the upcoming monitoring program must incorporate all remaining criteria. The study’s findings offer crucial information to help the management organization devise strategies for enhancing and sustainably expanding perennial crops in the province. It is necessary to further evaluate the soil’s environmental quality over time and soil depth and determine the frequency of monitoring in the study area.

Słowa kluczowe

EN

clustering; perennial crop; PCA; principal component analysis; soil environmental quality

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2023
• Tom: Vol. 24, nr 8
• Strony: 343--352
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Minh Vo Quang

• Land Resources Department, Environment and Natural Resources College, Can Tho University, Can Tho, 90000, Vietnam

• https://orcid.org/0000-0001-8574-7151

autor

Vu Pham Thanh

• Land Resources Department, Environment and Natural Resources College, Can Tho University, Can Tho, 90000, Vietnam

• https://orcid.org/0000-0002-4379-4504

autor

Khoa Le Van

• Soil Science Faculty, College of Agriculture, Can Tho University, Can Tho, 90000, Vietnam

autor

Tinh Tran Kim

• Soil Science Faculty, College of Agriculture, Can Tho University, Can Tho, 90000, Vietnam

autor

Dang Pham Cam

• Land Resources Department, Environment and Natural Resources College, Can Tho University, Can Tho, 90000, Vietnam

• https://orcid.org/0000-0002-4690-8810

Bibliografia

• 1. Abdel-Fattah, M.K., Mohamed, E.S., Wagdi, E.M., Shahin, S.A., Aldosari, A.A., Lasaponara, R., & Alnaimy, M.A. 2021. Quantitative evaluation of soil quality using principal component analysis: The case study of El-Fayoum Depression Egypt. Sustainability, 13(4), Article 4. https://doi.org/10.3390/su13041824
• 2. Afriawan A., Ahmad A., and Gusli S. 2021. Analysis of plant root properties, texture, and porosity that affects landslides in Tangka Sub-Watershed. IOP Conf. Ser. Earth Environ. Sci., 886(1), 012093. doi: 10.1088/1755-1315/886/1/012093.
• 3. Chaganti V.N. and Culman S.W. 2017. Historical perspective of soil balancing theory and identifying knowledge gaps: A review. Crop Forage Amp Turfgrass Manag., 3(1) (Accessed: 24.3.2023). https://www.cabdirect.org/cabdirect/abstract/20193283156
• 4. Chau N.N.B., Truyen D.M., Dan T.H., and Loi L.V. 2021. Assessment of difference on land environment indicator in different landscapes in Cu Lao Dung area. Dong Thap Univ. J. Sci., 10(3), 56–63.
• 5. Department of Natural Resources and Environment of Vinh Long province. 2020. Announcement of results of investigation and assessment of soil quality and land potential for the first time in Vinh Long province. https://vinhlong.gov.vn/stnmt/xem-chi-tiet-tin-tuc/id/167393
• 6. Du T.T., Mi N. T.H., Minh V.Q., and Khoa L.V., 2018. Application of GIS in the mapping of soil fertility distribution in the Mekong Delta. Int. Symp. Geoinformatics Spat. Infrastruct. Dev. Earth Allied Sci. 60–65.
• 7. Dung L.V., Guong V.T., Linh N.D., and Thu T.A. 2018. Improving saline acid sulfate soils and rice yield by using organic amendment and lime in green house condition. Can Tho Univ. J. Sci., vol. 54, Can Tho University. doi: 10.22144/ctu.jsi.2018.067.
• 8. Dung T.V., Dang L., Nguyen Van Q., Toan L., and Hung N.N. 2020. Morphological and physico-chemical properties of the raised-bed soils cultivated with 5 Roi pomelo in Chau Thanh district - Hau Giang province. Can Tho Univ. J. Sci., vol. 56, 130–137.
• 9. Dvořáčková H., Dvořáček J., Hueso González P., and Vlček V. 2022. Effect of different soil amendments on soil buffering capacity. PLoS ONE, 17(2), e0263456. doi: 10.1371/journal.pone.0263456.
• 10. Gerke J. 2022. The Central Role of Soil Organic Matter in Soil Fertility and Carbon Storage. Soil Syst., 6(2). doi: 10.3390/soilsystems6020033.
• 11. Hieu N.T., Tinh T.K., and Thành V.C. 2015. Chemical characteristics of saline soil where “Ski” variety of rice was grown in Hong Dan-Bac Lieu. Can Tho Univ. J. Sci., 2(40), Art. no. 40.
• 12. Höppner F., Klawonn F., Kruse R., and Thomas R. 1999. Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition. Wiley. 1999. Accessed: Mar. 24, 2023. https://www.wiley.com/en-us/fuzzy+cluster+analysis%3a+methods+for+classification%2c+data+analysis+and+image+recognition-p-9780471988649
• 13. Hung T.V., Toan L.P., Dung T.V., and Hung N.N. 2017. Morphological and physio-chemical properties of acid sulfate soils in Dong Thap Muoi. Can Tho Univ. J. Sci., 2. 1–10. doi: 10.22144/ctu.jsi.2017.047.
• 14. Ibrahim A. 2015. Evaluation of surface water quality using multivariate techniques in terengganu river basin. International Journal of Development Research (IJDR). Int. J. Dev. Res., 5(2), 3421–3427.
• 15. Islam M., Lenz O., Azad A., Ara H., Rahman M., and Hassan N. 2017. Assessment of Spatio-Temporal Variations in Water Quality of Shailmari River, Khulna (Bangladesh) Using Multivariate Statistical Techniques. J. Geosci. Environ. Prot., 5, 1–26. doi: 10.4236/gep.2017.51001.
• 16. Jiang M., Xu L., Chen X., Zhu H., and Fan H. 2020. Soil Quality Assessment Based on a Minimum Data Set: A Case Study of a County in the Typical River Delta Wetlands. Sustainability, 12(21), Art. no. 21. doi: 10.3390/su12219033.
• 17. Khoa L. V. and Ti N. 2013. Soil stability classification and factors influencing to the soil structural stability of alluviral soils in the Mekong Delta, Vietnam. Can Tho Univ. J. Sci., 26, no. B,. 219–226.
• 18. Krishnapuram R. and Keller J.M. 1993. A possibilistic approach to clustering. IEEE Trans. Fuzzy Syst., 1(2), 98–110, doi: 10.1109/91.227387.
• 19. Likus J., Pietrzykowski M., and Chodak M. 2018. Chemistry of Sulfur-Contaminated Soil Substrate from a Former Frasch Extraction Method Sulfur Mine Leachate with Various Forms of Litter in a Controlled Experiment. Water. Air. Soil Pollut., 229. doi: 10.1007/s11270-018-3716-2.
• 20. Loan N.T.P., Thao L.M., Minh L.C.T., and Tuan N.T. 2016. Investigation on soil properties in orange growing gardens in Cao Phong town, Hoa Binh province, Vietnam Soil Sci., 47, 16–21.
• 21. Ma. J., Cheng, J., Wang, J., Pan, R., He, F., Yan, L., & Xiao, J. 2022. Rapid detection of total nitrogen content in soil based on hyperspectral technology, Inf. Process. Agric., 9(4), 566–574. doi: 10.1016/j.inpa.2021.06.005.
• 22. Mahi H., Farhi N., and Labed K. 2015. Remotely Sensed Data Clustering Using K-Harmonic Means Algorithm and Cluster Validity Index, presented at the IFIP Advances in Information and Communication Technology. 105–116. doi: 10.1007/978-3-319-19578-0_9.
• 23. Mohab A.K. and Abdulaziz I.A. 2022. Assessment of Physicochemical Water Quality using Principal Component Analysis: A Case Study Wadi Hanifa, Riyadh. RiyadhCivil Eng Res J, 12(5). doi: DOI 10.19080/CERJ.2022.12.555850.
• 24. Msimbira, L., & Smith, D. 2020. The Roles of Plant Growth Promoting Microbes in Enhancing Plant Tolerance to Acidity and Alkalinity Stresses. Frontiers in Sustainable Food Systems, 4. https://doi.org/10.3389/fsufs.2020.00106
• 25. Mulat Y., Tsehai K., Bedadi B., and Yusuf M., 2021. Soil quality evaluation under different land use types in Kersa sub-watershed, eastern Ethiopia. Environ. Syst. Res., 10. doi: 10.1186/s40068-021-00224-6.
• 26. Nam T.S., Khanh H.C., Thao H.V., & Thuan N.C. 2021. Physical and chemical characteristics of soil inside and outside the full-dyke systems in Phu Tan district, An Giang province. Can Tho University Journal of Science, 57, Article Special issue on Environment and climate change. https://doi.org/10.22144/ctu.jsi.2021.033
• 27. Narayan O., Kumar P., Yadav B., Dua M., and Johri A., 2022. Sulfur nutrition and its role in plant growth and development. Plant Signal. Behav. doi: 10.1080/15592324.2022.2030082.
• 28. Odey S., 2018. Overview of Engineering Problems of Soil Compaction and Their Effects on Growth and Yields of Crops. doi: 10.13140/RG.2.2.11522.22722.
• 29. Orobator P.O., 2019. Investigating soil quality indicators response to perennial cropping systems in lowland areas of Northern Edo State, Nigeria. Int. of Social Sci. (Accessed: 24.03.2023) https://www.academia.edu/43642719/Investigating_Soil_Quality_Indicators_Response_to_Perennial_Cropping_Systems_in_Lowland_areas_of_Northern_Edo_State_Nigeria
• 30. Saleh A.M., Elsharkawy M.M., AbdelRahman M.A.E., and Arafat S.M., 2021. Evaluation of Soil Quality in Arid Western Fringes of the Nile Delta for Sustainable Agriculture. Appl. Environ. Soil Sci., vol. 2021. 1–17. doi: 10.1155/2021/1434692.
• 31. Shihab A., Dawood F., and Kashmar D., 2020. Data Analysis and Classification of Autism Sptrum Disorder Using Principal Component Analysis. Adv. Bioinforma., vol. 2020, 8 pages. doi: 10.1155/2020/3407907.
• 32. Sulyman M., 2018. Response of soil properties to land use change from wheat to pig production, J. Pollut. Eff. Control, 6. doi: 10.4172/2375-4397.1000211.
• 33. Thompson M., Duda R.O., and Hart P.E., 1974. Pattern classification and scene analysis in Leonardo. p. 370. doi: 10.2307/1573081.
• 34. Tian Y., Xu Z.,Wang J., and Wang Z., 2022. Evaluation of soil quality for different types of land use based on minimum dataset in the typical desert Steppe in Ningxia, China. J. Adv. Transp., vol. 2022. 1–14. doi: 10.1155/2022/7506189.