Using Tobit Regression Model to Determine Safety Limit of Lead (Pb) in Irrigation Water for Lettuce Grown onEutric Fluvisols in Red River Delta

Received: 15-03-2023

Accepted: 24-05-2023

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Issue: Vol. 21 No. 5 (2023)

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TÀI NGUYÊN VÀ MÔI TRƯỜNG

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Giang, N., Dung, N., & Nga, N. (2024). Using Tobit Regression Model to Determine Safety Limit of Lead (Pb) in Irrigation Water for Lettuce Grown onEutric Fluvisols in Red River Delta. Vietnam Journal of Agricultural Sciences, 21(5), 570–577. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/1137

Using Tobit Regression Model to Determine Safety Limit of Lead (Pb) in Irrigation Water for Lettuce Grown onEutric Fluvisols in Red River Delta

Nguyen Thi Giang (*) 1, 2 , Nguyen Van Dung 3 , Nguyen Thi Hang Nga 4

  • 1 Khoa Tài nguyên và Môi trường, Học viện Nông nghiệp Việt Nam
  • 2 Khoa Quản lý đất đai, Học viện Nông nghiệp Việt Nam
  • 3 Hội Khoa học Đất Việt Nam
  • 4 Khoa Kỹ thuật Tài nguyên nước, Đại học Thủy lợi

    • Keywords

    Ettuce, lead safey limit for irrigation water, Tobit regression model

    Abstract


    The study was conducted to determine the safety limit of irrigation water contaminated with Pb for lettuce (Lactuca sativa L.) cv. Rapido 344 grown on Eutric Fluvisols. In pot experiments in net house were carried our with six levelsof Pb-contaminated water (0.0; 0.1; 0.5; 1.0; 2.0. and 4.0 mg/l) used for irrigation. The results showed that Pb-contaminated water increased Pb concentration in the lettuce from 0.19 mg/kg to 1.43 mg/kg and in the soil from 2.63-4.97 mg/kg compared to irrigation withPb non-contaminated water. With Tobit regression model, the safety limit of Pb in irrigation water less than 0.90 ppm was estimated with the mobile Pb form content in soil less than 7 mg/kg.

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