数字农科院2.0

A general methodological framework for predicting and assessing heavy metal pollution in paddy soils using machine learning models

文献类型： 外文期刊

作者： Unurnyam Jugnee;Le Jiao;Sainbayar Dalantai;Lili Huo;Yi An;Bayartungalag Batsaikhan;Undrakhtsetseg Tsogtbaatar;Munguntuul Ulziibaatar;Boldbaatar Natsagdorj

作者机构：

关键词： Heavy metal;Hunan province;Machine learning;Paddy soil;Pollution prediction

期刊名称： Heliyon

ISSN： 2405-8440

年卷期： 2025 年 11 卷 4 期

页码：

收录情况： SCIE（2025版）

摘要： Heavy metal contamination in paddies poses a serious threat to ecological and human health. Current researches about heavy metal pollution mainly focus on source apportionment, while robust and accurate predictions on its spatial distribution and driving mechanisms is still lacking. Herein, we developed a general methodological framework to predict and assess heavy metal pollution of paddies in Hunan province, China, by employing Random Forest (RF), Extra Trees Regressor (ETR), Extreme Gradient Boost Regression (XGBR), and Gradient Boosting Regression Tree (GBRT). Results demonstrated that RF performed superiorly in predicting As (R2 = 0.706), Cr (R2 = 0.746), Cu (R2 = 0.705), and Hg (R2 = 0.73), while the ETR showed good performance in predicting Cd (R2 = 0.521), Zn (R2 = 0.404), and Pb (R2 = 0.625). GBRT performed well in predicting Ni (R2 = 0.61). The Shapley additive explanations suggested significant differences in the driving factors and their contributions to prediction models for each heavy metal. Climate variables were potentially valuable predictors of heavy metal content. The visualized spatial distribution of Pollution Load Index showed that 79.8 % of the study area was moderately polluted and the remaining 20.2 % was in a severe polluted state. The soil pollution state worsened from the west to the east of the study area. These findings provide valuable information on effective soil pollution control and soil conservation efforts.

分类号：

  • 相关文献

[1]Ecological risk evaluation of heavy metals based on hyperspectral: a case study of rice paddy soil in Xiangtan County, China. Tsogtbaatar, Undrakhtsetseg,Huo, Lili,Jiao, Le,Dalantai, Sainbayar,An, Yi,Batsaikhan, Bayartungalag,Jugnee, Unurnyam,Natsagdorj, Boldbaatar,Batsaikhan, Tsogtjargal,Munkhchuluun, Baasantsog. 2025

[2]Fusion optimization: enhancing the efficacy of soil available heavy metal content prediction models leveraging novel near-infrared and mid-infrared spectroscopy technology. Guo, Hairong,Guo, Mingdian,Liu, Yujia. 2025

[3]Rapid characterization of heavy metals in soil using a novel integrated strategy for near-infrared spectroscopy models. Guo, Hairong,Guo, Mingdian,Liu, Yujia. 2025

[4]GIS-Based Research on Spatial-Temporal Variation Characteristics of Carbon Footprint in Hunan Province from 2000 to 2010. Peng Hua,Ji Xionghui,Zhou Qingbo,Liu Jia. 2012

[5]Arsenic source analysis of rice from different growing environments and health risk assessment in Hunan Province, China. Yanfang Liu,Yatao Huang,Lin Li,Yangyang Xiong,Xinrui Wang,Litao Tong,Fengzhong Wang,Bei Fan,Jiashun Gong. 2023

[6]Phosphorus Adsorption and Bioavailability in a Paddy Soil Amended with Pig Manure Compost and Decaying Rice Straw. Liang, Yongchao,Guo, Bin,Liang, Yongchao,Li, Zhaojun,Han, Fengxiang. 2009

[7]Effects of organic amendments on soil carbon sequestration in paddy fields of subtropical China. Xu, Minggang,Wang, Xiujun,Wang, Xiujun,Huang, Qinhai,Nie, Jun,Li, Zuzhang,Li, Shuanglai,Hwang, Seon Woong,Lee, Kyeong Bo. 2012

[8]The bioaccumulation of Cd in rice grains in paddy soils as affected and predicted by soil properties. Ye, Xinxin,Wu, Liang,Sun, Bo,Ye, Xinxin,Li, Hongying,Ma, Yibing,Wu, Liang. 2014

[9]Predictive Model for Phosphorus Accumulation in Paddy Soils with Long-Term Inorganic Fertilization. Li, J. M.,Liu, J.,Xu, M. G.,Ma, Y. B.,Li, J. M.,Gao, J. S.. 2012

[10]Effects of rice straw incorporation and tillage depth on soil puddlability and mechanical properties during rice growth period. Yao, Shuihong,Teng, Xiaolong,Zhang, Bin.

[11]Cropping systems affect paddy soil organic carbon and total nitrogen stocks (in rice-garlic and rice-fava systems) in temperate region of southern China. Zhang, Tao,Liu, Hongbin,Zhai, Limei,Zhang, Dan,Wang, Hongyuan,Chen, Anqiang,Lei, Baokun,Liu, Jian.

[12]Oxidation of elemental sulfur in paddy soils as influenced by flooded condition and plant growth in pot experiment. Zhou, W,Wan, M,He, P,Li, ST,Lin, B. 2002

[13]Testing the modified Rothamsted Carbon Model for paddy soils against the results from long-term experiments in southern China. Xu, Minggang,Jiang, Guiying,Shirato, Yasuhito,Yagasaki, Yasumi,Huang, Qinghai,Li, Zuzhang,Nie, Jun,Shi, Xiaojun. 2013

[14]The potential of green manure to increase soil carbon sequestration and reduce the yield-scaled carbon footprint of rice production in southern China. Song juan GAO,Shun LI,Guo peng ZHOU,Wei dong CAO. 2023

[15]Heterogeneity of soil bacterial and bacteriophage communities in three rice agroecosystems and potential impacts of bacteriophage on nutrient cycling. Yajiao Wang,Yu Liu,Yuxing Wu,Nan Wu,Wenwen Liu,Xifeng Wang. 2022

[16]Potential of mercapto montmorillonites for immobilization remediation of Hg-contaminated paddy soil: Perspective from soil environmental quality. Penggang Pei,Demiao Mu,Tao Sun,Lin Wang,Xuefeng Liang,Yingming Xu,Yuebing Sun. 2022

[17]Cadmium in Rice Is Affected by Fertilizer‐Borne Chloride and Sulfate Anions: Long‐Term Field Versus Pot Experiments. Hussain B.,Ma Y.,Li J.,Gao J.,Ullah A.,Tahir N.. 2022

[18]Manganese facilitates cadmium stabilization through physicochemical dynamics and amino acid accumulation in rice rhizosphere under flood-associated low pe+pH. Meng Wang,Lifu Wang,Shuwen Zhao,Shanshan Li,Xiaoqin Lei,Luyao Qin,Xiaoyi Sun,Shibao Chen. 2021

[19]Arsenic and cadmium load in rice tissues cultivated in calcium enriched biochar amended paddy soil. Md. Shafiqul Islam,Abdoul Salam Issiaka Abdoul Magid,Yali Chen,Liping Weng,Md Yasir Arafat,Zulqarnain Haider Khan,Jie Ma,Yongtao Li. 2021

[20]Adsorption and desorption characteristics of cadmium on different contaminated paddy soil types: Kinetics, isotherms, and the effects of soil properties. Weisheng Lu,Ying Liu,Huike Ye,Dasong Lin,Guijie Li,Yang Zhao,Ting Deng,Huaxing Li,Ruigang Wang. 2021

作者其他论文 更多>>