山西省屯留区富硒土地质量综合评价与利用

王大莹; 崔新宇; 曹培丽; 崔杰; 张仕裕; 樊文华; 冯志强; 何俊辰; 雷勇

doi:10.19509/j.cnki.dzkq.tb20230666

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山西省屯留区富硒土地质量综合评价与利用

环境地质与工程 | 更新时间：2026-11-05

- 山西省屯留区富硒土地质量综合评价与利用
- 山西省屯留区富硒土地质量综合评价与利用
- 地质科技通报 2025年44卷第5期页码：272-284
- 作者机构：
  
  1. 山西农业大学资源环境学院
  2. 太原理工大学矿业工程学院
  3. 山西省第三地质工程勘察院有限公司
- 作者简介：
- 基金信息：
  
  山西省基础研究计划项目（20210302123378）;山西省优秀博士来晋工作奖励基金项目（SXYBKY2019032）;山西省地勘基金项目（0632-1911FW1L2054）
- DOI：10.19509/j.cnki.dzkq.tb20230666
  中图分类号： S159
- 网络首发：2024-06-19，
  
  纸质出版：2025
- 稿件说明：
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王大莹, 崔新宇, 曹培丽, 等. 山西省屯留区富硒土地质量综合评价与利用[J]. 地质科技通报, 2025,44(5):272-284.

王大莹, 崔新宇, 曹培丽, et al. 山西省屯留区富硒土地质量综合评价与利用[J]. Bulletin of Geological Science and Technology, 2025, 44(5): 272-284.
王大莹, 崔新宇, 曹培丽, 等. 山西省屯留区富硒土地质量综合评价与利用[J]. 地质科技通报, 2025,44(5):272-284. DOI： 10.19509/j.cnki.dzkq.tb20230666.

王大莹, 崔新宇, 曹培丽, et al. 山西省屯留区富硒土地质量综合评价与利用[J]. Bulletin of Geological Science and Technology, 2025, 44(5): 272-284. DOI： 10.19509/j.cnki.dzkq.tb20230666.

摘要

开展土地调查与评价并发展特色产业是实现乡村振兴、巩固脱贫成果的重要工作。为了更加精准有效地指导区域农业生产布局和特色产业开发，在山西省长治市屯留区开展了富硒土地调查与评价工作。选取了富硒产业质量、生态环境和耕地地力3个方面的指标来构建富硒土地综合质量评价体系，运用模糊数学法、熵权法、综合指数法等方法评价与划分土地等级。结果表明：（1）屯留区硒含量等级为高和适量的土壤占比为54.47%，集中分布于全区东部；耕地地力等级分布不均，整体为西低东高；全域生态环境状况清洁。（2）屯留区一等富硒土地面积为299.33 km

，占比为26.21%，集中分布于东部平原地区。（3）屯留区小麦、尖椒和青椒达到富硒标准，尖椒富硒率为100%，农作物清洁状况良好。（4）依据评价结果，结合屯留区国土空间规划，划分出3类土地：A类地（富硒富肥且清洁）规划种植富硒小麦和绿色蔬菜，同时发展观光农业；B类地（硒适量且清洁）规划种植富硒辣椒，同时发展农产品深加工；C类地（非富硒富肥）打造农产品深加工体系，同时发展农贸和旅游。研究成果为屯留区富硒农业产业规划以及区域协同发展提供了理论支持及科学建议。

Abstract

ObjectiveLand resource assessment and specialty industry cultivation are pivotal for China's rural revitalization and poverty alleviation initiaives. To optimize regional agricultural planning and specialty sector development

this study implemented a selenium-rich land resource survey in Tunliu District

Changzhi City

Shanxi Province. MethodsA comprehensive land quality evaluation framework was established

integrating three dimensions: Selenium-rich industrial potential

ecological integrity

and arable land productivity. The fuzzy mathematical method

entropy weighting

and composite index modeling were synergistically applied for land classification

with spatial patterns visualized through ArcGIS. ResultsThe results show that: ①54.47% of the study area contains medium-to-high selenium concentrations

predominantly clustered in eastern regions. Arable land productivity demonstrates spatial heterogeneity

with lower values in western zones versus higher eastern values. ②299.33 km2 (26.21% of total) of first-class quality land was identified in eastern plains. ③Wheat

chili peppers

and bell peppers exhibit 100% selenium enrichment compliance with crops in good condition. ④Based on land and crop evaluation results

and considering spatial planning

the land is classified into three types: A

and C. Zone A (Premium): Supports selenium-rich wheat/vegetable cultivation and agro-tourism (eastern plains). Zone B (Transitional): Suitable for diversified cropping with selenium supplementation. Zone C (Marginal): Recommended for agricultural product processing and trade hubs due to suboptimal selenium (<0.30 mg/kg) and nutrient levels. ConclusionThis study provides theoretical support and scientific recommendations for planning the selenium-rich agricultural industry in Tunliu District and for its integrated regional development.

关键词

Keywords

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