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西藏雅江中游耕地土壤理化指标数据集(2019-2021)

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国家青藏高原科学数据中心2023-06-14 更新2024-03-06 收录
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https://data.tpdc.ac.cn/zh-hans/data/e4d74658-6e1c-40a1-bd02-9247d73da67c
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数据为西藏雅鲁藏布江中游河谷的大田耕地土壤理化指标数据。包括土壤质地、土壤pH值、土壤有机质、土壤全氮、土壤全磷、土壤全钾、土壤碱解氮、土壤有效磷和土壤速效钾等;土壤样品为3-5个样点组成的混合样,实验分析参照国家相关标准,土壤质地用激光粒度仪测定,pH采用玻璃电极法;有机质采用重铬酸钾容量法;全氮采用凯氏定氮法;全磷采用酸融法-钼娣抗比色法;全钾采用酸熔法-火焰光度计法;碱解氮采用氢氧化钠-碱解扩散法;有效磷采用Olsen法;速效钾采用NH4Ac浸提,火焰光度法。土壤重复样品偏差在3%以内。该数据可用于区域土壤环境质量分析,为耕地可持续利用提供科学指导。

The dataset contains soil physicochemical index data from field cultivated land in the middle reaches of the Yarlung Zangbo River Valley, Tibet. The measured indicators include soil texture, soil pH value, soil organic matter, total soil nitrogen, total soil phosphorus, total soil potassium, alkali-hydrolyzable nitrogen, available phosphorus, and available potassium, etc. Soil samples are composite samples composed of 3 to 5 sampling points, and all experimental analyses are conducted in accordance with relevant national standards. Specifically, soil texture is determined by a laser particle size analyzer; soil pH is measured using the glass electrode method; soil organic matter is determined via the potassium dichromate volumetric method; total soil nitrogen is measured by the Kjeldahl method; total soil phosphorus is determined via the acid digestion - molybdenum-antimony anti-colorimetric method; total soil potassium is measured via the acid fusion - flame photometric method; alkali-hydrolyzable nitrogen is determined via the sodium hydroxide - alkali hydrolysis diffusion method; available phosphorus is measured using the Olsen method; and available potassium is extracted with NH4Ac and determined via flame photometry. The deviation of replicated soil samples is within 3%. This dataset can be used for regional soil environmental quality analysis, providing scientific guidance for the sustainable utilization of cultivated land.
提供机构:
王兆锋,宫殿清
创建时间:
2022-12-31
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含2019-2021年西藏雅鲁藏布江中游河谷大田耕地的土壤理化指标数据,涵盖土壤质地、pH值、有机质、全氮、全磷、全钾、碱解氮、有效磷和速效钾等指标。数据采用国家标准方法测定,适用于区域土壤环境质量分析和耕地可持续利用研究。
以上内容由遇见数据集搜集并总结生成
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