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引用本文:秦军杰,周鼎添,王 航,等.土壤质量综合评价与分析—以宁夏北部典型区为例[J].灌溉排水学报,2026,45(4):82-90.
QIN Junjie,ZHOU Dingtian,WANG Hang,et al.土壤质量综合评价与分析—以宁夏北部典型区为例[J].灌溉排水学报,2026,45(4):82-90.
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土壤质量综合评价与分析—以宁夏北部典型区为例
秦军杰,周鼎添,王 航,王忠静,张震中,王建东,刘奋武
1.山西农业大学 资源环境学院,山西 太谷 030801; 2.中国农业科学院 农业环境与可持续发展研究所,北京 100081; 3.宁夏大学,银川 750021;4.清华大学 水利水电工程系,北京 100084
摘要:
【目的】对宁夏北部惠农区、平罗县、兴庆区3个典型区的土壤质量进行综合评价分析。【方法】从土壤养分、土壤物理性质、土壤盐分方面抓取7个与作物生长相关的指标,采用主成分分析法实现指标权重的客观赋值,并应用综合指数法进行评价,开展土壤质量综合评价。【结果】①惠农区土壤质量评价结果最优,平罗县次之、兴庆区最劣;②影响惠农区与平罗县的土壤质量评价的最主要的因素是土壤全盐量,土壤有机质是影响兴庆区土壤质量评价的重要因子;③导致兴庆区的土壤质量等级评价较低的主要原因之一是其地下水埋深较浅引起的盐渍化问题较为突出。【结论】降低惠农区与平罗县土壤全盐量,是提升2个区域土壤质量的关键调控路径;增加土壤有机质量,对提升兴庆区土壤质量综合评价指数具有正向效应。
关键词:  主成分分析;综合指数法;土壤质量评价;土壤盐渍化
DOI:10.13522/j.cnki.ggps.2025281
分类号:
基金项目:
Comprehensive evaluation of soil quality and its influencing factors in typical regions of Northern Ningxia
QIN Junjie, ZHOU Dingtian, WANG Hang, WANG Zhongjing, ZHANG Zhenzhong, WANG Jiandong, LIU Fenwu
1. College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China; 2. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3. Ningxia University, Yinchuan 750021, China; 4. Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Abstract:
【Objective】Soil quality is a fundamental determinant of agricultural productivity and ecological sustainability, particularly in arid and semi-arid regions where salinization and nutrient imbalance are prevalent. The aim of this study was to comprehensively evaluate soil quality in Huinong District, Pingluo County and Xingqing District in Northern Ningxia, so as to provide a scientific basis for the efficient and sustainable utilization of soil resources.【Method】Seven key indices related to crop growth were obtained from soil nutrient status, physical soil properties and soil salinity. Principal component analysis was used to objectively assign weights to the indices, and the comprehensive index method was applied to evaluate soil quality. Based on these methods, a comprehensive soil quality assessment was conducted to clarify the spatial variation of soil quality across the study region.【Result】① Huinong District had the best soil quality, followed by Pingluo County, while Xingqing District showed the worst soil quality. ②Toal soil salinity was the most important factor affecting soil quality in Huinong District and Pingluo County, whereas soil organic matter was the most important factor influencing soil quality in Xingqing District. ③One of the main reasons for the low soil quality in Xingqing District was soil salinization caused by the shallow groundwater table.【Conclusion】Reducing total soil salinity in Huinong District and Pingluo County is the key strategy for improving soil quality. Increasing soil organic matter content can significantly enhance soil quality, particularly in Xingqing District, thereby supporting improved soil management and sustainable agricultural development.
Key words:  principal component analysis; comprehensive index method; soil quality assessment; soil salinization