• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

区域尺度上饱和导水率的空间变异性及其与其他土壤特性的关系。

Spatial variability of saturated hydraulic conductivity and its links with other soil properties at the regional scale.

机构信息

Institute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4, 20-290, Lublin, Poland.

出版信息

Sci Rep. 2021 Apr 15;11(1):8293. doi: 10.1038/s41598-021-86862-3.

DOI:10.1038/s41598-021-86862-3
PMID:33859221
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8050267/
Abstract

Saturated hydraulic conductivity (K) is a key property for evaluating soil water movement and quality. Most studies on spatial variability of K have been performed soil at a field or smaller scale. Therefore, the aim of this work was to assess (quantify) the spatial distribution of K at the larger regional scale in south-eastern Poland and its relationship with other soil properties, including intrinsic sand, silt, and clay contents, relatively stable organic carbon, cation exchange capacity (CEC) and temporally variable water content (WC), total porosity (FI), and dry bulk density (BD) in the surface layer (0-20 cm). The spatial relationships were assessed using a semivariogram and a cross-semivariogram. The studied region (140 km) with predominantly permeable sandy soils with low fertility and productivity is located in the south-eastern part of Poland (Podlasie region). The mean sand and organic carbon contents are 74 and 0.86 and their ranges (in %) are 45-95 and 0.002-3.75, respectively. The number of individual samples varied from 216 to 228 (for K, WC, BD, FI) to 691 for the other soil properties. The best fitting models were adjusted to the empirical semivariogram (exponential) and the cross-semivariogram (exponential, Gaussian, or linear) used to draw maps with kriging. The results showed that, among the soil properties studied, K was most variable (coefficient of variation 77.3%) and significantly (p < 0.05) positively correlated with total porosity (r = 0.300) and negatively correlated with soil bulk density (r = - 0.283). The normal or close to the normal distribution was obtained by natural logarithmic and root square transformations. The mean K was 2.597 m day and ranged from 0.01 up to 11.54 m day. The spatial autocorrelation (range) of K in the single (direct) semivariograms was 0.081° (8.1 km), while it favourably increased up to 0.149°-0.81° (14.9-81 km) in the cross-semivariograms using the OC contents, textural fractions, and CEC as auxiliary variables. The generated spatial maps allowed outlining two sub-areas with predominantly high K above 3.0 m day in the northern sandier (sand content > 74%) and less silty (silt content < 22%) part and, with lower K in the southern part of the study region. Generally, the spatial distribution of the K values in the study region depended on the share of individual intrinsic textural fractions. On the other hand, the ranges of the spatial relationship between K and the intrinsic and relatively stable soil properties were much larger (from ~ 15 to 81 km) than between K and the temporally variable soil properties (0.3-0.9 km). This knowledge is supportive for making decisions related to land management aimed at alteration of hydraulic conductivity to improve soil water resources and crop productivity and reduce chemical leaching.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a5/8050267/0239cf0ed371/41598_2021_86862_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a5/8050267/27e17caa304e/41598_2021_86862_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a5/8050267/0239cf0ed371/41598_2021_86862_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a5/8050267/27e17caa304e/41598_2021_86862_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a5/8050267/0239cf0ed371/41598_2021_86862_Fig2_HTML.jpg

饱和导水率(K)是评估土壤水分运移和质量的关键特性。大多数关于 K 的空间变异性的研究都是在田间或更小的尺度上进行的。因此,本工作的目的是评估东南波兰较大区域尺度上 K 的空间分布及其与其他土壤特性的关系,包括固有砂、粉砂和粘粒含量、相对稳定的有机碳、阳离子交换容量(CEC)和随时间变化的水分含量(WC)、总孔隙度(FI)和表层(0-20 cm)的干体积密度(BD)。使用半变异函数和交叉半变异函数评估空间关系。研究区域(140 km)主要为渗透性强、肥力和生产力低的砂壤土,位于波兰东南部(波德拉谢地区)。平均砂和有机碳含量分别为 74%和 0.86%,其范围(%)分别为 45-95%和 0.002-3.75%。个别样本数量从 216 到 228 个(K、WC、BD、FI)不等,其他土壤特性的样本数量为 691 个。最佳拟合模型被调整到经验半变异函数(指数)和交叉半变异函数(指数、高斯或线性),用于绘制克里金图。结果表明,在所研究的土壤特性中,K 的变异性最大(变异系数为 77.3%),与总孔隙度呈显著正相关(p<0.05,r=0.300),与土壤容重呈显著负相关(r=-0.283)。通过自然对数和平方根变换得到正态或接近正态分布。平均 K 值为 2.597 m·day,范围为 0.01 至 11.54 m·day。在单一(直接)半变异图中,K 的空间自相关(范围)为 0.081°(8.1 km),而在交叉半变异图中,使用 OC 含量、质地分数和 CEC 作为辅助变量,K 的空间自相关(范围)有利地增加到 0.149°-0.81°(14.9-81 km)。生成的空间图允许勾勒出两个亚区,北部砂质(砂含量>74%)和粉砂质(粉砂含量<22%)部分的 K 值主要较高,超过 3.0 m·day,而研究区域南部的 K 值较低。一般来说,研究区域 K 值的空间分布取决于各个固有质地分数的份额。另一方面,K 与固有和相对稳定的土壤特性之间的空间关系范围(从~15 到 81 km)比 K 与随时间变化的土壤特性(0.3-0.9 km)之间的空间关系范围大得多。这些知识有助于做出与土地管理相关的决策,旨在改变水力传导率,以改善土壤水资源和作物生产力,并减少化学淋失。

相似文献

1
Spatial variability of saturated hydraulic conductivity and its links with other soil properties at the regional scale.区域尺度上饱和导水率的空间变异性及其与其他土壤特性的关系。
Sci Rep. 2021 Apr 15;11(1):8293. doi: 10.1038/s41598-021-86862-3.
2
Spatial relationships among cereal yields and selected soil physical and chemical properties.粮食产量与部分土壤物理化学性质的空间关系。
Sci Total Environ. 2018 Aug 15;633:1579-1590. doi: 10.1016/j.scitotenv.2018.03.277. Epub 2018 Apr 4.
3
[Spatial variation characteristics of surface soil water content, bulk density and saturated hydraulic conductivity on Karst slopes].[喀斯特坡面表层土壤含水量、容重和饱和导水率的空间变异特征]
Ying Yong Sheng Tai Xue Bao. 2014 Jun;25(6):1585-91.
4
The effects of land use changes on some soil properties in Indaği Mountain Pass--Cankiri, Turkey.土耳其坎基里省因达吉山口土地利用变化对某些土壤性质的影响。
Environ Monit Assess. 2008 Jan;136(1-3):101-19. doi: 10.1007/s10661-007-9668-4. Epub 2007 Jun 12.
5
Geostatistical approach for management of soil nutrients with special emphasis on different forms of potassium considering their spatial variation in intensive cropping system of West Bengal, India.基于地统计学方法的土壤养分管理,特别强调考虑印度西孟加拉邦集约种植系统中不同形态钾素的空间变异情况
Environ Monit Assess. 2015 Apr;187(4):183. doi: 10.1007/s10661-015-4414-9. Epub 2015 Mar 15.
6
Assessment of the spatial distribution of cereal yields on sandy soil related to the application of soil-improving cropping systems (SICS).评估与土壤改良种植系统(SICS)应用相关的沙质土壤上谷物产量的空间分布。
Sci Total Environ. 2022 Jul 15;830:154791. doi: 10.1016/j.scitotenv.2022.154791. Epub 2022 Mar 26.
7
Saturated hydraulic conductivity of soils in the Horqin Sand Land of Inner Mongolia, northern China.中国内蒙古科尔沁沙地土壤的饱和水力传导率。
Environ Monit Assess. 2013 Jul;185(7):6013-21. doi: 10.1007/s10661-012-3002-5. Epub 2012 Nov 24.
8
[Spatial heterogeneity of soil water physical properties in coal gangue pile in arid desert area].干旱荒漠区煤矸石山土壤水分物理性质的空间异质性
Ying Yong Sheng Tai Xue Bao. 2021 Jan;32(1):281-288. doi: 10.13287/j.1001-9332.202101.014.
9
Fractal features of soil particle size distribution under different land-use patterns in the alluvial fans of collapsing gullies in the hilly granitic region of southern China.中国南方丘陵花岗岩地区崩塌沟冲积扇不同土地利用模式下土壤粒径分布的分形特征
PLoS One. 2017 Mar 16;12(3):e0173555. doi: 10.1371/journal.pone.0173555. eCollection 2017.
10
Effects of Application of Recycled Chicken Manure and Spent Mushroom Substrate on Organic Matter, Acidity, and Hydraulic Properties of Sandy Soils.施用再生鸡粪和菌渣对砂土有机质、酸度及水力性质的影响
Materials (Basel). 2021 Jul 19;14(14):4036. doi: 10.3390/ma14144036.

引用本文的文献

1
Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size.基于机器学习的本德尔元件信号模式识别用于预测砂粒尺寸
Sci Rep. 2025 Feb 26;15(1):6949. doi: 10.1038/s41598-025-91497-9.
2
Dataset of soil hydraulic parameters in the Yellow River Basin based on in situ deep sampling.基于原位深层采样的黄河流域土壤水力参数数据集
Sci Data. 2024 Jul 7;11(1):740. doi: 10.1038/s41597-024-03576-7.
3
Solar radiation explains litter degradation along alpine elevation gradients better than other climatic or edaphic parameters.

本文引用的文献

1
Spatial relationships among cereal yields and selected soil physical and chemical properties.粮食产量与部分土壤物理化学性质的空间关系。
Sci Total Environ. 2018 Aug 15;633:1579-1590. doi: 10.1016/j.scitotenv.2018.03.277. Epub 2018 Apr 4.
2
Predicting the impact of biochar additions on soil hydraulic properties.预测生物炭添加对土壤水力性质的影响。
Chemosphere. 2016 Jan;142:136-44. doi: 10.1016/j.chemosphere.2015.06.069. Epub 2015 Jul 2.
与其他气候或土壤参数相比,太阳辐射能更好地解释高山海拔梯度上凋落物的降解情况。
Front Microbiol. 2023 Apr 27;14:1152187. doi: 10.3389/fmicb.2023.1152187. eCollection 2023.
4
The Influence of Soil Erodibility and Saturated Hydraulic Conductivity on Soil Nutrients in the Pingshuo Opencast Coalmine, China.土壤可蚀性和饱和导水率对中国平朔露天煤矿土壤养分的影响。
Int J Environ Res Public Health. 2022 Apr 14;19(8):4762. doi: 10.3390/ijerph19084762.
5
A Novel Method for the Accurate Measurement of Soil Infiltration Line by Portable Vector Network Analyzer.一种利用便携式矢量网络分析仪精确测量土壤入渗线的新方法。
Sensors (Basel). 2021 Oct 29;21(21):7201. doi: 10.3390/s21217201.