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基于电磁感应研究新疆土壤盐分三维空间变异对季节的响应
  • ISSN号:1002-6819
  • 期刊名称:《农业工程学报》
  • 时间:0
  • 分类:S156.4[农业科学—土壤学;农业科学—农业基础科学]
  • 作者机构:[1]安徽工业大学能源与环境学院,马鞍山243002, [2]土壤与农业可持续发展国家重点实验室,中国科学院南京土壤研究所,南京210008, [3]中国科学院新疆生态与地理研究所,乌鲁木齐830011
  • 相关基金:新疆维吾尔自治区科技计划项目(201531116);国家重点研发计划项目(2016YFC0501400)
中文摘要:

为了获得新疆典型区域不同季节土壤盐分的三维特征,该研究以新疆伊犁地区典型地块为研究区域,将电磁感应式土壤表观电导率快速测定技术作为基础,建立了基于土壤表观电导率数据不同季节的区域尺度剖面分层土壤盐分精确解译模型,获得了剖面土壤盐分含量信息,并以此为数据源采用反距离权重空间数据插值方法评估了研究区不同季节三维土壤盐分空间变异特征,探索了三维土壤盐分变化对不同季节的响应特征。研究表明:研究区秋、春两个季节各土层土壤盐分含量的变异系数在1.223-1.636之间,均表现为强度变异性,秋季土壤盐分含量的变异性随着土层深度的增加而减小,而春季土壤盐分含量的变异性随着土层深度的增加而增大。秋、春两个季节研究区大部分区域土壤盐分含量比较低,土壤盐分含量高值区域主要集中在研究区的西北、西南及中部地区,并且表现出次年春季的盐渍化程度及盐土所占比例比前一年秋季明显加重。利用电磁感应式土壤表观电导率快速测定结合三维反距离权重方法,对区域不同季节土壤盐分三维空间变异特征解析的精度分别达到相关系数为0.887和0.862。研究结果将为解译与评估干旱区三维土壤盐分特征随季节变化提供可靠的理论依据和技术方法。

英文摘要:

Salinization and alkalinization are the prominent land degradation processes in arid areas. In this study, our objective was to demonstrate the three-dimensional distribution of the regional soil salt responding to the change of season in typical zone of Xinjiang Automonous Region. The studied areas are located in typical area of the YiLi district in Xinjiang. The apparent electrical conductivity (ECa) was measured at each site using a Geonics ElectroMagnetic (EM38) instrument in different season. The ECa data collected included measurements using both horizontally and vertically modes. Soil samples were collected at selected sites immediately after the EM38 surveys. A field study was conducted, which was consisted of 70 measurement sites visited in different seasons. In addition, soil samples were also collected between 0 to 0.3 m, 0.3 to 0.6 m and 0.6 to 1.0 m depth increments at the location of the deep cores. Prior to laboratory analysis samples were air-dried and ground to pass a 2-ram sieve. The profile soil salinity was determined from the electrical conductivity of a saturated soil paste extract (ECe) according to standard methods. The profile soil salinity was obtained by regression model using apparent electrical conductivity. The model correlation coefficient differed from 0.875 to 0.952 that indicated high precision accuracy for each model. Three-dimensional soil salt distribution was characterized by inverse distance weighting method for different season. The results showed that average of soil salinity all decreased with increasing depth in the study area in different season. But average of soil salinity moderately decreased with increasing depth in autumn than in spring. The coefficient of variation of soil salinity, an indicative of strength intensity variation for different seasons, ranged from 1.223 to 1.636. Variation of soil salinity decreased with the increase of soil depth in autumn, but variation of soil salinity increased with the increase of soil depth in spring. Map of three-

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期刊信息
  • 《农业工程学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国农业工程学会
  • 主编:朱明
  • 地址:北京朝阳区麦子店街41号
  • 邮编:100125
  • 邮箱:tcsae@tcsae.org
  • 电话:010-59197076 59197077 59197078
  • 国际标准刊号:ISSN:1002-6819
  • 国内统一刊号:ISSN:11-2047/S
  • 邮发代号:18-57
  • 获奖情况:
  • 百种中国杰出学术期刊,中国精品科技期刊,中国科协精品科技期刊工程项目期刊,RCCSE中国权威学术期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),英国农业与生物科学研究中心文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国食品科技文摘,中国北大核心期刊(2000版)
  • 被引量:93231