A tool (SPOLERC) to guide the evaluation of phosphorus leaching for agricultural soil by using the change point value in the Xingkai Lake Basin, China

Xie, Z., Zhang, F., Ye, C., Wang, H., Wei, W., Li, C. and Shi, X. (2021) A tool (SPOLERC) to guide the evaluation of phosphorus leaching for agricultural soil by using the change point value in the Xingkai Lake Basin, China. Environmental Sciences Europe, 33(1), 132. (doi: 10.1186/s12302-021-00572-1)

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Abstract

Abstract: Background: The soil P leaching change point (CP) has been widely used to evaluate soil P leaching risk. However, an automation calculation method for soil P leaching CP value, and an effective risk grading method performed for classifying soil P leaching risk evaluation have not been developed. Results: This study optimized the calculation process for soil P leaching CP value with two different fitting models. Subsequently, based on the Python programming language, a computation tool named Soil Phosphorus Leaching Risk Calculator (SPOLERC) was developed for soil P leaching risk assessment. SPOLERC not only embedded the calculation process of the soil P leaching CP value, but also introduced the single factor index (SFI) method to grade the soil P leaching risk level. The relationships between the soil Olsen-P and leachable P were fitted by using SPOLERC in paddy soils and arid agricultural soils in the Xingkai Lake Basin, and the results showed that there was a good linear fitting relationship between the soil Olsen-P and leachable P; and the CP values were 59.63 and 35.35 mg Olsen-P kg−1 for paddy soils and arid agricultural soils, respectively. Additionally, 32.7, 21.8, and 3.64% of arid agricultural soil samples were at low risk, medium risk, and high risk of P leaching, and 40.6% of paddy soil samples were at low risk. Conclusions: SPOLERC can accurately fit the split-line model relationship between the soil Olsen-P and leachable P, and greatly improved the calculation efficiency for the soil P leaching CP value. Additionally, the obtained CP value can be used for soil P leaching risk assessment, which could help recognize key area of soil P leaching.

Item Type:Articles
Additional Information:This project was funded by the National Key Research and Development Project of China (Watershed non-point source pollution prevention and control technology and application demonstration, 2021YFC3201500-2) and the Xingkai lake Basin Ecological Environment Survey Project.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Shi, Dr John Xiaogang
Creator Roles:
Shi, J. X.Conceptualization, Writing – review and editing
Authors: Xie, Z., Zhang, F., Ye, C., Wang, H., Wei, W., Li, C., and Shi, X.
College/School:College of Social Sciences > School of Interdisciplinary Studies
Journal Name:Environmental Sciences Europe
Publisher:Springer
ISSN:2190-4707
ISSN (Online):2190-4715
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Environmental Sciences Europe 33(1):132
Publisher Policy:Reproduced under a Creative Commons License

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