基于XGBoost模型的安徽省土壤pH空间建模
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S153.4

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国家自然科学基金项目(41501226)、安徽省高校自然科学研究项目(KJ2015A034)、安徽理工大学人才引进项目(ZY020)


Spatial modeling of soil pH value in Anhui Province based on XGBoost model
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    摘要:

    土壤pH是土壤的基本属性之一,对土壤环境管理有重要作用。本文以安徽省为研究区域,选用气候、地形、生物等17个相关环境变量,利用XGBoost和随机森林模型建立安徽省土壤pH空间预测模型,对比两模型的预测精度,并估算了两种制图结果的不确定性。结果表明:与随机森林模型相比,XGBoost模型对安徽省土壤pH的预测精度更高。XGBoost模型中eta、max_depth、nrounds对于模型的精度均具有一定的影响,eta的变化对于XGBoost模型精度影响最大。MAP、Y、MRVBF、MAT、MRRTF、EVI对土壤pH建模有较大的影响,在两种模型的变量重要性排序中均重要。空间制图结果表明,两模型的预测结果大体趋势相同—安徽省土壤 pH 呈“南酸北碱”的趋势,但两者在部分地区的结果仍有区别。

    Abstract:

    Soil pH is one of the basic properties of soil, which plays an important role in soil environmental management. In anhui Province, 17 environmental variables such as climate, topography and biology were selected to establish a spatial prediction model of soil pH in Anhui Province using XGBoost and random forest model. The prediction accuracy of the two models was compared, and the uncertainty of the two mapping results was estimated. The results showed that compared with random forest model, XGBoost model was more accurate in predicting soil pH in Anhui Province. Eta, MAX_depth, and NRounds all have a certain impact on the accuracy of XGBoost model, and the change of ETA has the greatest impact on the accuracy of XGBoost model. MAP, Y, MRVBF, MAT, MRRTF and EVI have great influence on soil pH modeling, and they are all important in the order of variable importance of the two models. The results of spatial mapping showed that the prediction results of the two models had the same general trend -- the soil pH in Anhui province showed a trend of "southern acid and northern alkali", but the results of the two models were different in some areas.

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邱士其,赵明松,芦园园,等. 基于XGBoost模型的安徽省土壤pH空间建模[J]. 科学技术与工程, 2023, 23(4): 1472-1480.
Qiu Shiqi, Zhao Mingsong, Lu Yuanyuan, et al. Spatial modeling of soil pH value in Anhui Province based on XGBoost model[J]. Science Technology and Engineering,2023,23(4):1472-1480.

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  • 收稿日期:2022-08-26
  • 最后修改日期:2022-11-09
  • 录用日期:2022-09-30
  • 在线发布日期: 2023-03-03
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