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首页> 中文期刊> 《农业工程学报》 >基于潜力指数组合的耕地质量等级监测布点方法

基于潜力指数组合的耕地质量等级监测布点方法

         
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摘要

The quantity and quality of arable land is important to our country's food security and the long-term stability of the community. Farmland quality monitoring is an important measure to implement the farmland protection policy. Monitoring changes in farmland quality is needed. This study focuses on 1) monitoring the work as a fledgling local technical reserve, 2) financing difficulties, 3) how to choose the optimization and the least amount of monitoring points, and 4) controlling arable land quality level. Daxing District, Beijing serves as a study area to investigate the layout method of monitoring points for farmland quality level monitoring. A theoretical model named “Agricultural land natural level- Dominant factor” is established by dividing the monitoring control areas according to the main soil characteristics that affect the quality of cultivated land, Then, the “Agricultural land natural level- Dominant factor”theoretical model is used to subdivide monitoring control areas to emplace the monitoring points. The core idea of “Agricultural land natural level- Dominant factor”is that by combining the enhancement potential index of the natural level, the content of organic matter, the topsoil texture, the profile form and the degree of salinity into full factorial permutations, then the combination type of the enhancement potential index of the natural level can be obtained. The enhancement potential index of the natural level of each grading factors can most directly reflect the impact of its related grading unit natural level movements. On one hand, it reflects both the degree of restricting and reflects the potential to increase degree and quality. On the other hand, it points out the high standard of basic farmland for future direction of land remediation for soil characteristics. Daxing District is divided into six monitoring and control areas and 39 potential index combination types of improving agricultural land natural level. Combining 39 types of the potential index of improving agricultural land natural levels results in eight types of “Agricultural land natural level- Dominant factor”. Based on this, 58 monitoring sample points are laid. On the basis of the division of monitoring and control areas, monitoring sample points were laid according to the main soil characteristic that affects the quality of cultivated land. This has application value in researching the process of laying the monitoring sample points in the farmland quality level monitoring. This theoretical model can significantly improve the accuracy of the monitoring samples and ensure the representativeness of monitoring sample points and the integrity of cultivated land quality monitoring information. There are some inadequacies in the research process that need to be further explored. For instance, the article has insufficient consideration to the agricultural conditions of the study area facilities. At the same time, Daxing District is in the plain area, the geological conditions here are relatively uniform and the quality of cultivated land is also relatively concentrated, whether the research method in this article is universally applicable needs to be verified in the more geologically and geomorphologically complex areas.%　　耕地的数量、质量问题关系中国的粮食安全和社会的长治久安,耕地质量等级监测工作是贯彻落实耕地保护政策的一项重要举措。该文依托耕地质量等级监测试点项目,以北京市大兴区为例,对监测样点的布设方法进行了研究。在划分监测控制区的基础上,根据影响耕地质量的主要土壤特征,建立“自然等别-主导因素”理论模型,并用所建模型对控制区进行细分,在此基础上进行监测样点的布设。分析得出,大兴区耕地质量等级监测共划分6个监测控制区,39个自然等提等潜力指数组合类型；通过对39个自然等提等潜力指数的组合,得到8种“自然等别-主导因素”类型,在此基础上布设监测样点58个。研究成果显著提高了监测样点的精度,保证了监测样点的代表性和耕地质量监测信息的完整性。

著录项

  • 来源
    《农业工程学报》 |2013年第4期|245-254|共10页
  • 作者

    孙亚彬; 吴克宁; 胡晓涛; 周子健; 马建辉;

  • 作者单位

    中国地质大学北京土地科学技术学院;

    北京 100083;

    国土资源部土地整治重点实验室;

    北京 100035;

    中国地质大学北京土地科学技术学院;

    北京 100083;

    国土资源部土地整治重点实验室;

    北京 100035;

    国土资源部农用地质量与监控重点实验室;

    北京 100035;

    中国地质大学北京土地科学技术学院;

    北京 100083;

    国土资源部土地整治重点实验室;

    北京 100035;

    中国地质大学北京土地科学技术学院;

    北京 100083;

    国土资源部土地整治重点实验室;

    北京 100035;

    中国地质大学北京土地科学技术学院;

    北京 100083;

    国土资源部土地整治重点实验室;

    北京 100035;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 耕地管理与保护;
  • 关键词

    土地利用; 监测; 等级; 耕地质量; 监测样点; 自然等别;

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