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利用一种土壤转移函数(PTF)模型,为沙特阿拉伯东部艾哈萨绿洲地区的主要物理和水力土壤特性建立基于 GIS 的图谱。

Using a pedotransfer (PTF) model to establish GIS-based maps for the main physical and hydraulic soil properties in the eastern region of the Al-Ahsa Oasis, Saudi Arabia.

机构信息

Department of Environmental and Natural Resources, College of Agricultural and Food Sciences, King Faisal University, Al-Hassa, Saudi Arabia.

出版信息

PLoS One. 2022 Oct 20;17(10):e0276259. doi: 10.1371/journal.pone.0276259. eCollection 2022.

Abstract

This study aims to produce digital maps showing the physical and hydraulic soil properties of the Al-Ahsa Oasis in Saudi Arabia by employing the capabilities of the GIS technique. These maps can display the pattern distribution of different physical and hydraulic properties of soil accurately and accessibly. Recently developed local pedotransfer function (PTF) models were applied to the basic soil data of earlier research covering 566 points. An analysis was conducted using a spatial interpolation technique of the GIS program. Maps of spatial patterns described essential soil physical and hydraulic properties such as sand%, silt%, clay%, bulk density (ρ), saturation (θs), field capacity (FC), wilting point (WP), and soil water characteristic curve (SWCC) fitting parameters b, c, d. Sand dominates most of the study area, particularly in the northeast near Hufof. This may be attributed to the deposition of drifting sand and dune movement. Silt and clay increased in other locations. Bulk density ρ was positively increased with sand and negatively with silt and CaCO3 content. Soil hydraulic properties (θ, FC, WP, and SWCC fitting parameters b, c, d) were positively correlated with silt and ρ and negatively with sand content. This digital map can be employed for a general overview investigation, for the whole studied area, for agricultural expansion and for environmental studies.

摘要

本研究旨在通过 GIS 技术的应用,生成显示沙特阿拉伯 Al-Ahsa 绿洲物理和水力土壤特性的数字地图。这些地图可以准确、便捷地展示不同土壤物理和水力特性的分布模式。最近开发的局部土壤转移函数 (PTF) 模型应用于覆盖 566 个点的早期研究的基础土壤数据。使用 GIS 程序的空间插值技术进行了分析。这些地图描述了土壤物理和水力特性的空间分布模式,如沙%、粉沙%、粘粒%、土壤容重(ρ)、饱和度(θs)、田间持水量(FC)、萎蔫点(WP)和土壤水分特征曲线 (SWCC) 拟合参数 b、c、d。沙粒在研究区域的大部分地区占据主导地位,尤其是在东北部的胡富夫附近。这可能是由于风沙的沉积和沙丘的移动。在其他地区,粉沙和粘粒的含量增加。土壤容重 ρ与沙粒呈正相关,与粉沙和 CaCO3 含量呈负相关。土壤水力特性(θ、FC、WP 和 SWCC 拟合参数 b、c、d)与粉粒和 ρ呈正相关,与沙粒含量呈负相关。这张数字地图可用于对整个研究区域进行全面概览调查、农业扩展和环境研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/545f/9584395/f76ab934119d/pone.0276259.g001.jpg

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