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现代地质 ›› 2024, Vol. 38 ›› Issue (03): 706-717.DOI: 10.19657/j.geoscience.1000-8527.2024.053

• 表生资源观测模拟与预测评价 • 上一篇    下一篇

基于地貌区划的新疆地表基质质地分类方案

李洪宇1,2,3(), 刘晓煌1,3(), 刘玖芬1,2,3, 赵晓峰1,2,3, 张文博1,2,3, 李福杰3,4   

  1. 1.中国地质调查局自然资源综合调查指挥中心, 北京 100055
    2.中国地质大学(北京)地球科学与资源学院, 北京 100083
    3.自然资源要素耦合过程与效应重点实验室, 北京 100055
    4.中国地质调查局乌鲁木齐自然资源综合调查中心, 新疆 乌鲁木齐 830001
  • 出版日期:2024-06-10 发布日期:2024-07-04
  • 通讯作者: 刘晓煌,男,正高级工程师,1972年出生,新疆维吾尔自治区“天池英才”引进计划人才,主要从事自然资源观测与综合研究。Email: liuxh19972004@163.com。
  • 作者简介:李洪宇,男,博士后,1994年出生,主要从事西北旱区关键带生态水文研究。Email:lihongyu@mail.cgs.gov.cn
  • 基金资助:
    科技部第三次新疆综合科学考察项目(2022xjkk090405);中国地质调查局地质调查项目(DD20230514)

Geomorphology-based Classification of Ground Substrate Texture in Xinjiang

LI Hongyu1,2,3(), LIU Xiaohuang1,3(), LIU Jiufen1,2,3, ZHAO Xiaofeng1,2,3, ZHANG Wenbo1,2,3, LI Fujie3,4   

  1. 1. Command Center for Natural Resources Comprehensive Survey, China Geological Survey, Beijing 100055, China
    2. School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China
    3. Key Laboratory of Coupling Process and Effect of Natural Resources Elements, Beijing 100055, China
    4. Urumqi Natural Resources Comprehensive Survey Center, China Geological Survey, Urumqi, Xinjiang 830001, China
  • Online:2024-06-10 Published:2024-07-04

摘要:

地表基质调查是新时代自然资源调查监测与地质工作的新领域,分类是地表基质调查的前提。为尽快掌握全国或省级更大区域的地表基质空间格局,需借鉴相关学科概念、充分利用已有基础调查成果,探索分类方案。质地是地表基质内不同颗粒的组合状况,基于质地类型刻画地表基质类型,有助于明确其孕育林草生态要素的本底特征。新疆地域广阔、地貌复杂,地貌是该区自然资源与地表基质质地分类空间分异的主控因素。本研究利用数字高程模型、遥感影像、土地利用、土壤性质、植物特征等多源信息,确定新疆地貌三级区划方案,基于地貌区划提出地表基质质地的分类方案。将新疆按坡度、起伏度、高程和成因分为47种地貌类型,划分6个一级、27个二级和1056个三级地貌区。山地区的三级地貌区数量高于平原区,中海拔丘陵是分布最广泛的三级地貌类型,中起伏中山和中海拔风积地貌分别是山地和平原内面积最大的三级地貌类型。大部分地貌类型的植被根系深度平均值低于100 cm,0~200 cm的土壤信息足以描述新疆地表基质结构。不同三级地貌类型的0~200 cm内主要土壤质地类型的数量占比均值为70.9%,表明在新疆采用基于地貌的地表基质质地分类具有一定可靠性。粉壤质、砂质和砾质是新疆的主要地表基质质地,分别占全疆面积的49.6%、27.1%和10.3%。粉壤质是新疆森林、草原与耕地资源数量与质量最高的质地分类。基于地貌类型的地表基质质地分类方案兼顾了水热条件与地表物质组成,有助于评价不同类别自然资源的适宜性,可为新疆土地整治与生态修复提供重要参考。

关键词: 新疆, 地貌区划, 地表基质质地分类, 自然资源

Abstract:

Ground substrate survey is novel in the survey and monitoring of natural resources, representing a new field in modern geological survey, where classification serves as the prerequisite for this survey. To quickly understand the spatial pattern of the ground substrate at the national or provincial scale, it is essential to investigate classification schemes that incorporate concepts from related disciplines and existing survey data. Texture is the combination of different particles within the ground substrate. Characterizing ground substrate classification through texture helps clarify its ecological function in supporting forests, grasslands, and other ecosystems. In the Xinjiang Uyghur Autonomous Region of China, with its vast territory and complex landforms, geomorphological type is the primary factor controlling the spatial differentiation of ground substrate. This study utilized multi-source information, including Digital Elevation Model, Land Use/Cover Change data, high-resolution soil maps, and vegetation index data. Consequently, we established a three-level geomorphologic regionalization and a validated geomorphology-based classification scheme for characterizing ground substrate texture. This approach helped to obtain the spatial heterogeneity of ground substrate textures in Xinjiang. There are 47 geomorphological types based on differences in slope, relief, elevation, and geological genesis in Xinjiang. These types consist of 6 first-level regions, 27 second-level regions, and 1,056 third-level regions. The number of third-level regions in mountainous areas is higher than that in basin areas, with medium-altitude hills being the most widely distributed third-level regions. Notably, medium-undulating mountains are the most extensive third-level geomorphological types in mountainous areas, while medium-altitude wind-accumulated landforms are the most extensive in basin areas. For most of the geomorphological types, the average vegetation rooting depth was less than 100 cm, hence soil information within the 0-200 cm depth range was sufficient to describe the ground substrate structure. The mean value of the number of major soil texture types within 0-200 cm depth range for different geomorphologic types was 70.9%, indicating the reliability of using geomorphology-based ground substrate texture classification. Silty loam, sandy, and gravel are the main ground substrate textures, accounting for 49.6%, 27.1%, and 10.3% of the total area of Xinjiang, respectively. Silty loam is the texture classification with the highest quantity and quality of forest, grassland, and arable land resources in Xinjiang. This scheme considers both hydrothermal conditions and physical properties, making it helpful for evaluating the suitability of natural resources and territorial spatial planning in Xinjiang.

Key words: Xinjiang, geomorphologic regionalization, ground substrate texture classification, natural resource

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