In situ digital testing method for quality assessment of soft soil improvement with polyurethane

This study purposes an in situ testing method on quality assessment of soil improvement.Factual drilling data includes the spatial distribution and in situ strength of untreated and treated soil along three different drillholes measured by on-site drilling monitoring method.These factual drilling data can characterize the degree of soil improvement by penetration injection with permeable polyurethane.Result from on-site drilling monitoring shows that the linear zones represent constant drilling speeds shown in the plot of drill bit advancement vs.net drilling time,which indicates the spatial distributions of soil profile.The soil profile at the study site is composed of four layers,which includes fill,untreated silty clay,treated silty clay,and mucky soil.The results of soil profile are verified by the parallel site loggings.The constant drilling speeds profile the coring-resistant strength of drilled soils.By comparing with the untreated silty clay,the constant drilling speeds of the treated silty clay have been decreased by 13.0-62.8%.Two drilling-speed-based indices of 61.2%and 65.6%are proposed to assess the decreased average drilling speed and the increased in situ strength of treated silty clay.Laboratory tests,i.e.uniaxial compressive strength(UCS)test,have been performed with core sample to investigate and characterize in situ strength by comparing that with drilling speeds.Results show that the average predicted strengths of treated silty clay are 2.4-6.9 times higher than the average measured strength of untreated silty clay.The UCS-based indices of 374.5%and 344.2%verified the quality assessment(QA)results by this new in situ method.This method provides a cost-effective tool for quality assessment of soil improvement by utilizing the digital drilling data.

Assessment and Application of Beach Quality Based on Analytic Hierarchy Process in Yangkou Beach, Qingdao

The whole-beach quality assessment is the basis of building and preserving beautiful beaches.The beach quality assessment index system and assessment standard have been established based on the attributes of beaches(including the width,slope,landform,and types),sorting coefficient,and softness degree of surface sediment.The assessment weight of each index for quality evaluation was analyzed using the analytic hierarchy process,and comprehensive scores of selected beach profiles were calculated in accordance with the light assessment standard.A beach quality evaluation model based on index weight and scores was established in this paper.The factors of 12 profiles of Yangkou Beach in Qingdao City were surveyed to carry out a quality assessment,and the comprehensive scores of each profile were calculated in accordance with the evaluation model.The results showed that the quality of Yangkou Beach can be divided into four ratings:excellent,good,medium,and poor.The excellent-quality area includes a wide and flat dry beach zone and soft,flat,and clean intertidal and subtidal zones covered with well-sorted fine sand,and leisure sports,such as volleyball,running,and swimming,are suitable for tourists.The good-quality area features a slightly narrow and dry beach zone,moderately soft and uneven intertidal and subtidal zones covered with fine sand and a small tidal gully,and a small amount of foreign matter;leisure sports,such as walking and running,are suitable for tourists.This study recommends the building of fixed drainage ditches or underground culverts to reduce the tidal gully.The medium-quality area consisted of a narrow and dry beach zone,moderately soft and uneven intertidal and subtidal zones covered by poorly sorted medium sand,a tide ditch,and a small amount of foreign matter.In this area,walking is suitable for tourists.Sand should be supplemented in the intertidal zone.The poor-quality area contained a very narrow and dry beach zone covered with poor-sorted gravel,a very chaotic intertidal zone with a considerable amount of foreign matters,such as bricks and rocks,wide tidal ditches,and an uneven subtidal zone with some reefs;leisure sports are unsuitable here.Thus,foreign matter and reefs should be removed,and the dry beach zone should be supplemented with sand.Therefore,the beach quality assessment is a very useful tool for building beautiful beaches.

Migration and risks of potentially toxic elements from sewage sludge applied to acid forest soil

`The application of sewage sludge(SS)to forested lands may lead to the downward migration of potentially toxic elements(PTEs)through rainfall and thus pose risk to the subsoil and groundwater.Batch column experiments were conducted using leaching water equivalent to the rainfall amount in the study area over 3 years to investigate changes in concentrations of PTEs,including copper(Cu),zinc(Zn),lead(Pb),cadmium(Cd),and nickel(Ni)in the leachate from the acidic forest soil.Water quality index of leachate,potential ecological risk and human health risk in soil at different leaching stages were compared.Sewage sludge was applied at SS/soil mass ratios of 0:100(controls),15:85(T1),30:70(T2),45:55(T3),60:40(T4),and 75:25(T5).All treatments resulted in increased PTEs concentration in the upper 20 cm soil,T3-T5 increased potential ecological risk from"low"(control)to"moderate"or"considerable".During first year leaching,PTEs concentration increased with increasing SS/soil ratios,but the water quality index of T1-T3 was"excellent"or"good".Pb,Cu,Cd,and Ni in the 20-40 cm soil depth,and Zn in the 60-80 cm soil depth were also enriched,but potential ecological risk was"low".In subsequent leaching,PTEs concentration of leachate gradually returned to the background value and water quality index was"excellent".There were no significant changes in PTEs and ecological risk observed.During the monitoring process,the health risk caused by the migration of PTEs to the human body was always within the acceptable range.Overall,this study provides a reference for the management of risks from the application of SS on forestlands,i.e.,SS/soil ratios<45:55 is recommended on forestlands,and special attention should be given to early leaching risk.In addition,it also provides an important assessment method for the risk of PTEs leaching and migration in forested land application.

Soil Quality Assessment of Acid Sulfate Paddy Soils with Different Productivities in Guangdong Province,China

Land conversion is considered an effective measure to ensure national food security in China, but little information is available on the quality of low productivity soils, in particular those in acid sulfate soil regions. In our study, acid sulfate paddy soils were divided into soils with high, medium and low levels based on local rice productivity, and 60 soil samples were collected for analysis. Twenty soil variables including physical, chemical and biochemical properties were determined. Those variables that were significantly different between the high, medium and low productivity soils were selected for principal component analysis, and microbial biomass carbon （MBC）, total nitrogen （TN）, available silicon （ASi）, pH and available zinc （AZn） were retained in the minimum data set （MDS）. After scoring the MDS variables, they were integrated to calculate a soil quality index （SQI）, and the high, medium and low productivity paddy soils received mean SQI scores of 0.95, 0.83 and 0.60, respectively. Low productivity paddy soils showed worse soil quality, and a large discrepancy was observed between the low and high productivity paddy soils. Lower MBC, TN, ASi, pH and available K （AK） were considered as the primary limiting factors. Additionally, all the soil samples collected were rich in available P and AZn, but deficient in AK and ASi. The results suggest that soil AK and ASi deficiencies were the main limiting factors for all the studied acid sulfate paddy soil regions. The application of K and Si on a national basis and other sustainable management approaches are suggested to improve rice productivity, especially for low productivity paddy soils. Our results indicated that there is a large potential for increasing productivity and producing more cereals in acid sulfate paddy soil regions.

Soil Geochemical Background Value and Environmental Quality Assessment in Jinan City

[Objectives]This study was conducted to accurately assess soil and environmental quality in Jinan City. [Methods] Based on the multipurpose regional geochemical survey data of 1∶250 000 in Shandong Province, the differences between the soil geochemical background values of 54 indexes in Jinan City and the soil in the whole province and the comprehensive geochemical class of soil quality were studied. [Results] The contents of C and Cao in Jinan soil was significantly higher than the background values of Shandong Province. The Cd, Cr, Cu, F, Ni, Sn, MgO, Cao and Na_(2)O contents and pH value were higher than the abundance of the A soil layer in China, but the nutrient index contents of Se, I and OrgC were lower than the national background values. The surface soil quality in the study area was generally good, with the sum of superior, good and medium accounting for 99.76% of the total area of the study area. The distribution area of poor soil was the least, accounting for only 0.24%, and it was scattered near industrial and mining enterprises in the urban area of Jinan City, Laiwu District, Gangcheng District and Zhangqiu District, which was closely related to human activities. [Conclusions] This study has practical guiding significance for improving land use efficiency.

Soil profile characteristics of high-productivity alluvial cambisols in the North China Plain

The North China Plain（NCP） is one of major breadbaskets in China. Crop growth and grain yield differ significantly with spatial variations of soil properties. This study aims to identify the key soil properties in relation to the grain yield for the winter wheat（Triticum aestivum L.）-maize（Zea mays L.） cropping system in a high-productivity farmland of the NCP. The field trials were conducted in three fields with different grain yield levels in Tai＇an City, Shandong Province, China, during the 2009–2012 period. Consistent field management strategies were applied in the three fields. Fifty-one physical and chemical indicators of the soil profile as related to grain yield were evaluated. An approximate maximum of 17.8% annual average grain yield difference was observed in the fields during the period of 2009–2012. The soil indicators were classified into three clusters with specific functions using cluster analysis, and three key indicators were extracted from each cluster to characterize the different soil properties of three fields. The first cluster represented soil water retention capacity, and the key indicator was available soil water（ASW）, which ranged from 153 to 187 mm in the 1.2 m profile and was correlated positively with grain yield. The second cluster represented soil water conductivity, as measured by saturated hydraulic conductivity（K s）. The higher yield field had a greater capacity to retain topsoil water for its lower K s（1.9 cm d^–1） in the 30–70 cm soil layer as compared to the lower yield field. The third cluster represented nutrient storage and supply, as indicated by the ratio of nutrient content to silt＋clay content of the top soil layer. The ratio of soil organic matter（OM）, total nitrogen（TN）, available P, exchangeable K＋ to silt＋clay content in the 0–20 cm soil layer were 19.0 g kg^–1, 1.6 g kg^–1, 94.7 mg kg^–1, 174.3 mg kg^–1 in the higher yield field, respectively, and correlated positively with the grain yield. By characterizing the differences in soil properties among fields with different yield levels, this study offers the scientific basis for increasing grain yield potential by improving the soil conditions in the NCP.

基于Web of Science数据库的土壤质量评价及其微生物指标研究趋势分析

为全面客观分析土壤质量评价领域的研究动态和发展趋势,利用知识图谱工具HistCite Pro 2.1、VOSviewer 1.6.19和CiteSpace 6.1.R6软件,基于Web of Science核心合集数据库,就近10年(2012—2022年)土壤质量评价领域的发文量、高被引文章、研究热点和研究趋势等进行计量分析。结果显示,近10年土壤质量评价领域的发文量呈上升趋势。关键词聚类网络划分出土壤健康评价、土壤质量评价、微生物指标3类。应用机器学习算法评价土壤质量、筛选微生物指标构建评价最小数据集是当前土壤质量评价领域的两大研究热点。将机器学习模型应用于不同土壤类型、种植系统和管理措施下评价土壤质量,挖掘土壤核心功能微生物和优势菌种作为微生物评价指标是未来的研究趋势。

封丘县典型农田土壤质量与时空变化特征

黄淮海平原作为我国重要的粮食产区,系统全面地评价该区域典型潮土的质量变化,对指导农业生产具有重要意义。以典型潮土分布的封丘县作为研究区,选取1984、2003和2011年的17项土壤指标,基于土壤参与生态过程中作物生产、碳固存、持水净化和养分运移等功能,构建土壤综合质量评价系统,采用主成分分析结合逼近理想点排序法(TOPSIS)计算各功能得分及土壤质量综合指数,通过GIS空间插值描述封丘县27年内潮土耕作区土壤质量和功能的时空变化特征。结果表明:(1)封丘县土壤全氮、全磷、碱解氮、有效磷、速效钾和有机质含量及阳离子交换量、饱和导水率和孔隙度均呈现不同程度的提升趋势;全钾含量、pH、容重、田间持水量和有效含水量则呈逐年降低趋势;(2)封丘县土壤作物生产、碳固存和养分运移功能得分均有所提升,增长率分别为9.29%、9.68%和7.36%,持水净化功能得分则降低4.17%;(3)封丘县土壤质量综合指数提升较为明显,1984年全县耕地土壤质量综合指数均≤2.0,2003年综合指数>2.0的耕地面积占全县总面积的8.44%,2011年提升至24.05%。整体而言,封丘县该时期的耕地保护和利用模式基本是有效的,封丘县耕地整体质量不断向好的方向发展,相关结果可以为黄淮海地区耕地资源可持续利用提供参考。

城市工业地块土壤重金属污染风险评价与源解析

选择上海市金山区为研究区域,基于研究区内25个再开发利用行业地块168个不同深度剖面的土壤样品,测定分析了重金属镉(Cd)、铅(Pb)、铜(Cu)、镍(Ni)、汞(Hg)、砷(As)含量,采用地累积指数、内梅罗综合污染指数和潜在生态风险指数对重金属污染特征进行分析和评价,利用地统计学、相关性分析、绝对主成分-多元线性回归(APCS-MLR)模型解析其污染来源。结果表明,研究区土壤中除As外,其余重金属均不同程度超过上海市土壤背景值,表层土壤中Cd、Pb、Cu、Ni和Hg含量分别为背景值的2.15、1.61、2.20、2.02和1.30倍,6种重金属含量随着土壤深度的增加逐渐降低,重金属在表层土壤中存在一定程度的富集,人类活动扰动主要集中在表层。空间插值结果表明Cd、Cu、Ni高值区主要集中在研究区西北侧,Pb和Hg高值区集中在研究区中部,As元素分布均匀。地累积指数表现为Ni(0.37)>Cu(0.36)>Cd(0.29)>Pb(0.11)>Hg(-0.62)>As(-0.85);内梅罗综合污染指数为1.95,表现为轻度污染;潜在生态风险指数结果显示,研究区综合潜在生态风险指数R值在50.60-271.50,均值为153.00,整体呈现中等生态风险。相关性分析和APCS-MLR模型识别出研究区域土壤重金属主要有3个来源,源1(Cd、Cu和Ni)为金属制品源,源2(Hg和Pb)为化学原料和化学制品源,源3为(As)自然源为主的混合源。该研究对上海市金山区再开发利用场地土壤重金属污染情况进行相对全面的评价,以期为城市更新过程中土壤重金属污染防控和修复提供相应的证据支撑。

结合最小数据集和改进灰色-TOPSIS的全国耕地土壤质量评价及影响因素研究

探究耕地土壤质量的空间分布及影响因素,为指导农户行为及促进农业生态可持续发展提供理论依据,基于中国土壤数据集(HWSD V2.1),利用主成分分析构建耕地土壤质量评价的最小数据集,结合灰色-TOPSIS多目标评价模型,对全国(港澳台除外)耕地土壤质量进行评价,运用地理探测器探索外部因子(年平均降水、年平均温度、人口密度和GDP)对耕地土壤质量的影响程度。结果表明:(1)最小数据集能有效减少指标体系之间的相关性,改进灰色-TOPSIS方法一定程度上提高耕地土壤质量评估的准确性;(2)根据耕地土壤质量评价结果,将耕地质量分为5个等级,从全国范围来看,长江中下游区、华南区耕地土壤质量较好,而黄土高原区、青藏高原区、内蒙古高原区耕地土壤质量则较差;(3)从地理探测器结果来看,年平均温度与年平均降水量共同对耕地土壤质量的解释程度大的省份共有20个,远远大于其他两两因子共同对耕地土壤的解释程度,2个因素交互作用效果大于单因子对耕地土壤质量的影响。综上,年平均降水量和年平均温度是影响耕地土壤综合质量的主要因素。

基于修订的最小数据集的土壤质量评价—以安徽合肥巢湖湖滨国家湿地公园为例

运用主成分分析法建立修订的最小数据集(revised minimum data set,R-MDS),计算土壤质量指数(soil quality index,SQI),对安徽合肥巢湖湖滨国家湿地公园土壤质量开展评价。结果表明,建立的最小数据集包括土壤有机质、全氮、速效钾、酸性磷酸酶、脱氢酶、过氧化氢酶和含水率。基于修订的最小数据集的巢湖湖滨湿地土壤质量指数(soil quality index-revised minimum,SQI-RM)与基于全体数据集(total data set,TDS)的土壤质量指数(soil quality index-total,SQI-T)呈显著正相关,R^(2)达到0.86(P<0.05),Nash有效系数为0.65,偏差系数为0.02,表明修订的最小数据集能够提取大部分数据信息,可以有效替代全体数据集开展湖滨湿地土壤质量评价。基于修订的最小数据集的安徽合肥巢湖湖滨湿地公园土壤质量指数范围为0.25~0.61(均值0.44),表明湖滨湿地土壤质量整体水平一般。土壤全氮、有机质含量低是巢湖湖滨湿地土壤的显著特征,是土壤质量的限制因子。本研究结果为安徽合肥巢湖湖滨湿地公园管理提供了重要参考依据。

基于“源-径-汇”关系的土壤重金属污染风险空间区划研究

构建土壤污染风险管控空间区划体系是对《中华人民共和国土壤污染防治法》“分类分区分阶段管理”思想的深入落实,高分辨率的风险空间区划地图能为划分风险管控优先区和大尺度统筹部署土壤污染防治铺排工作提供科学有效的决策指导。利用正定矩阵因子分析模型(PMF)明确了浙江省宁波市某工业集聚区铬、铜、砷、镉、铅、镍、锑和汞等8种重金属的污染源和贡献率,然后基于“源-径-汇”关系和质量平衡理论形成土壤重金属污染风险管控空间区划技术体系。结果表明,土壤重金属的空间分布具有明显异质性,主要排放源包括火力发电燃煤燃烧源(17.08%)、其他工业源(17.94%)、农业活动排放源(26.07%)、自然源(28.61%)和交通排放源(10.31%)等五类;利用构建的空间区划技术体系可将土壤重金属污染风险划分为极高、高、中、低和极低共五个等级,分别占研究区总面积的8.64%、17.28%、18.27%、22.92%和32.89%。区域风险胁迫水平的空间量化表达能有效识别高风险热点,进而采取优先管控措施实现土壤污染精准防治。

民勤风沙区不同灌木林土壤质量综合评价

[目的]研究风沙区灌木林土壤养分和生物学性质的变化特征,定量评价不同固沙灌木林土壤质量,对风沙区合理选择固沙树种和指导生态修复具有重要的现实意义。[方法]在民勤风沙区选取白刺(Nitraria tangutorum Bobr.)、红砂(Reaumuria songarica(Pall.) Maxim.)、沙拐枣(Calligonum mongolicum Turcz.)、膜果麻黄(Ephedra przewalskii Stapf)、黄花矶松(Limonium aureum(L.) Hill.)为研究对象,以裸沙地为对照,测定和分析了不同固沙灌木林土壤的养分、微生物数量和酶活性差异,采用主成分分析和土壤质量指数相结合的方法定量评价了不同固沙灌木对土壤质量的改良效果。[结果](1)民勤风沙区固沙灌木林土壤有机质和氮素含量较低,磷素缺乏,钾素含量较高,全盐量过低;与裸沙地相比,研究区各固沙灌木林土壤有机质、氮素、磷素、钾素含量、微生物数量和酶活性均有所增加;0—20 cm, 20—40 cm, 40—60 cm土层土壤养分含量均以红砂最高,土壤微生物数量和酶活性各固沙灌木林表现趋势各不相同;(2)各固沙灌木林随土层深度增加土壤微生物数量和酶活性变化规律各异,土壤养分含量逐渐减小,但各土层间差异不显著;(3)固沙灌木林土壤养分、盐分、微生物和酶活性之间相关性密切,土壤养分、微生物各指标间均呈极显著正相关关系(p<0.01);(4)不同固沙灌木林在不同土层对土壤质量的改良效果不同,0—20 cm土层综合得分排序为红砂>白刺>黄花矶松>沙拐枣>膜果麻黄>裸沙地,20—40 cm和40—60 cm均为红砂>白刺>沙拐枣>黄花矶松>膜果麻黄>裸沙地。[结论]红砂和白刺对土壤质量的改善效果最好,黄花矶松改善表层土壤质量的作用大于中下层土壤。

海南琼中岩-土体系重金属迁移特征及表土环境质量评价

地球关键带和土壤重金属污染是当今研究的前沿与热点,岩-土体系是地球关键带的重要组成部分。目前海南岛针对不同成壤母质岩-土体系的详细研究较少,并且重金属亟需基于新标准进行评价。为了查清岩-土体系中重金属元素迁移特征及污染状况,本文以海南岛琼中3个土壤垂向剖面及7115件表层土壤样品为研究对象,采用电感耦合等离子体质谱/发射光谱法(ICP-MS/OES)和原子荧光光谱法(AFS)等分析方法,测定岩石和土壤中Cu、Pb、Zn、Cr、Ni、Cd、As和Hg共8种重金属元素含量,利用土壤环境质量农用地土壤污染风险管控标准、内梅罗指数法和潜在生态危害指数法定量评价了表层土壤样品重金属污染状况及生态风险。结果表明,①海南岛琼中二长花岗岩岩-土体系中,不同重金属元素表现出明显的分异特征,Cu、Pb、Zn、Cr、Ni、Cd元素以亏损为主,As元素以富集为主,Hg元素则表现出不同的富集或亏损特征,As、Hg元素尤其富集在表层。②琼中绝大多数表层土壤中重金属元素含量低于土壤环境质量农用地土壤污染风险筛选值,土壤污染风险低。③以琼中和海南岛背景值为评价标准时,应关注Cr、Ni和As污染以及Hg、As和Cd的生态危害。以土壤环境质量为评价标准时,研究区表层土壤的环境质量总体清洁,生态风险较弱。

重庆市植烟土壤质量评价指标体系的构建与应用

为准确评价重庆市烟区土壤质量,以重庆2 513个代表性植烟单元(每个单元面积约6.7 hm^(2))的典型烟田土壤理化指标数据为基础,采用聚类分析法和主成分分析法建立了土壤质量评价最小数据集,构建了植烟土壤质量评价指标体系。结果表明:(1)基于主成分分析法建立的土壤质量评价体系更适合重庆烟区土壤质量评价,评价指标从原来的16个减为7个,具体为:p H、有机质、有效磷、有效铁、有效锌、有效硫和水稳性大团聚体。(2)烟区土壤酸化较为严重,有35.1%的烟田土壤偏酸;土壤氮素较为适宜,而有效磷和速效钾偏高的烟田占比分别为62.9%和75.8%,其他元素缺乏和过量并存,水稳性大团聚体偏低的烟田占比47.2%。(3)对基于最小数据集构建模型进行的合理性验证发现,基于主成分分析法确定的最小数据集(MDS-PCA)模型的R2比基于聚类分析法确定的最小数据模型的R~2高,前者的MAE、RMSE相比后者更小,说明MDS-PCA能够替代全量数据集对烟田土壤质量进行评价;基于MDS-PCA得到的土壤质量指数平均值为0.61,表明烟区土壤质量总体处于中等偏低水平,45.04%的烟田土壤质量急需提升。(4)土壤质量评价指标隶属度值雷达图表明,pH、有效磷、有效铁、有效硫和水稳性大团聚体的隶属度比较小,为烟区土壤质量限制性因子。

我国污染场地风险管理制度地方标准规范的分析与展望

我国在土壤环境质量及污染场地风险筛选管理制度的立法上遵循“地方—国家—地方”路线,随着国家标准及技术规范体系的基本完善和土壤修复市场的快速发展,“十四五”期间我国地方污染场地风险筛选管理的立法进程大大加速。本文调研了2019~2023年间我国发布的污染场地风险筛选管理相关的省级或市级标准文件,包括土壤环境质量标准(筛选值)、技术规范、指导性文件3大类别。通过对比地方标准文件对国家标准或技术规范的补充规定,从土壤环境质量标准、风险评估程序、检测结果的统计分析3方面总结了现行地方标准立法的要点。基于现行地方标准文件的立法原则和方向,可为新时代下污染场地精细化风险评估、新污染物治理等方面的国家与地方立法提供参考。

乘势而上砥砺奋进扎实推动河北水土保持工作高质量发展

2022年12月28日,中共中央办公厅、国务院办公厅印发《关于加强新时代水土保持工作的意见》(中办发[2022]68号,以下简称《意见》)。《意见》印发后,河北省委、省政府高度重视,立足责任要压实、措施要精准、执行要有力,扎实推动党中央、国务院决策部署落地见效,不断开创河北水土保持事业发展新局面。河北省围绕从根本上解决水土保持深层次矛盾和问题的需求,抓机遇、应挑战,全面贯彻落实两办《意见》;扛责任、善作为,扎实推进重点任务落实;重实践、建新功,不断提升整体工作水平;抓落实、促发展,推进水土保持工作再上新台阶。

开发区水土保持区域评估报告解决的主要问题

开发区水土保持区域评估报告主要解决了水土保持方面存在的问题,此类问题包括但不限于土地退化、水资源浪费、生态环境破坏等。评估报告通过对该区域的土壤侵蚀、植被覆盖、水资源利用等方面进行系统分析,提出了改善措施和保护建议,以保障区域生态环境的持续健康发展。本研究为开发区的可持续发展提供了科学依据和指导,促进了水土资源的合理利用和生态环境的保护。

基于遥感技术的土壤质量监测与评估方法研究

土壤质量是农业生产、生态环境保护和可持续发展的重要因素之一,因此土壤监测与评估一直备受人们的关注。随着遥感技术的不断发展,基于遥感技术的土壤质量监测与评估方法崭露头角。本文对土壤质量指标与监测参数进行了论述,并在此基础上,进一步探讨了遥感数据源及其获取,并结合遥感技术的特点,提出了基于遥感技术的土壤质量评估方法,进而为土壤质量管理工作的全面开展提供参考。