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MMs (metals and metalloids) based 238U, 226Ra, 232Th,40 K contamination and health risk assessments in different surface soils near an uranium mine of Southeast China 中国东南某铀矿附近不同表层土壤中基于 238U、226Ra、232Th、40 K 的 MMs(金属和类金属)污染与健康风险评估
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-29 DOI: 10.1007/s11368-024-03880-0
Yanhe Guan, Zhongkui Zhou, Yadan Guo, Renyu Zeng, Jingying Chen, Zhanxue Sun

Purpose

The radionuclides pollution base on MMs (metals and metalloids) near uranium mines has been drawing broad attention, but the extent of their impact on soil and human health is still unclear. Therefore, the aim of this study was to investigate the distribution and health risk assessments of 238U, 226Ra, 232Th and 40 K base on MMs (Cr, Ni, Cu, Zn, As, Cd, and Pb) in different surface soils near an uranium mine.

Materials and methods

Surface soil samples were extracted from 35 representative sites near the Lefu uranium mine. Radionuclides and MMs were measured using high-purity germanium (HPGe) N-type coaxial detector and inductively coupled plasma mass spectrometer, respectively. Pollution status was evaluated using DR, Raeq, AEDE, Hext, and ELCR for radionuclides and Pi, Igeo, RI and health risk index for MMs. Their correlation was analyzed through Pearson/Spearman correlation analysis.

Results and discussion

The average activity concentration of 238U, 226Ra, 232Th, and 40 K are 504, 1227, 118, and 769 Bq·kg−1 respectively and the average concentration of Cr, Ni, Cu, Zn, As, Cd, and Pb are 200, 33.9, 41.3, 132, 18.4, 0.26, and 78.7 mg·kg−1, respectively. Values of DR, Raeq, AEDE, Hext, and ELCR all exceed the world average to varying degrees and values of Pi, Igeo, RI and the health risk index are within the acceptable ranges. Correlation analyses showed that 238U, 226Ra, 232Th and Pb are strongly correlated (correlation coefficient > 0.6) with each other.

Conclusions

On the basis of the obtained values, it can be concluded that generally higher radionuclides and MMs were distributed near the Lefu uranium. There are potential health risks associated with the elevated radioactivity. The overall situation of MMs is controllable, however, particular attention is warranted for Cr and Cd, as they approach values-at-risk. The strong correlations between 238U, 226Ra, 232Th and Pb imply a uniform pollution level or a possible shared source.

目的 铀矿附近基于 MMs(金属和类金属)的放射性核素污染已引起广泛关注,但其对土壤和人类健康的影响程度仍不清楚。因此,本研究旨在调查铀矿附近不同表层土壤中 238U、226Ra、232Th 和 40 K 的分布情况以及基于 MMs(铬、镍、铜、锌、砷、镉和铅)的健康风险评估。分别使用高纯锗(HPGe)N 型同轴探测器和电感耦合等离子体质谱仪测量放射性核素和 MMs。对放射性核素采用 DR、Raeq、AEDE、Hext 和 ELCR 评估污染状况,对 MMs 采用 Pi、Igeo、RI 和健康风险指数评估污染状况。结果和讨论238U、226Ra、232Th 和 40 K 的平均放射性活度浓度分别为 504、1227、118 和 769 Bq-kg-1,Cr、Ni、Cu、Zn、As、Cd 和 Pb 的平均浓度分别为 200、33.9、41.3、132、18.4、0.26 和 78.7 mg-kg-1。DR、Raeq、AEDE、Hext 和 ELCR 的值都不同程度地超过了世界平均值,而 Pi、Igeo、RI 和健康风险指数的值都在可接受的范围内。相关性分析表明,238U、226Ra、232Th 和 Pb 之间具有很强的相关性(相关系数为 0.6)。放射性升高可能会对健康造成危害。放射性微粒的总体情况是可控的,但需要特别注意铬和镉,因为它们已接近风险值。238U、226Ra、232Th 和 Pb 之间的强相关性意味着存在统一的污染水平或可能的共同污染源。
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引用次数: 0
Sediment nitrate dissimilatory reduction processes in the river-lake ecotone of Poyang Lake, China: Mechanisms and environmental implications 中国鄱阳湖河湖生态区沉积物硝酸盐分解还原过程:机理与环境影响
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-28 DOI: 10.1007/s11368-024-03890-y
Yinghui Jiang, Zhenglei Xie, Mingjun Ding, Hua Zhang, Gaoxiang Huang, Yun Cao, Guoyu Yin

Purpose

The river-lake ecotone in lake ecosystems can strongly influence sediment nitrate dissimilatory reduction processes. However, the mechanisms underlying these processes in river-lake ecotone ecosystems are still poorly understood. This study aims to investigate the rates of sediment nitrate dissimilatory reduction processes in Poyang Lake and clarify the mechanisms and environmental implications of these processes.

Materials and methods

Sediment samples from five river-lake ecotones and lake ecosystems were collected from Poyang Lake, China. Sediment nitrate reduction and N2O production rates were measured using 15N isotope tracing experiments. The abundance of denitrifiers, anammox 16S rRNA bacteria, and nrfA genes was quantified using the polymerase chain reaction method. Correlation analysis, redundancy analysis, and stepwise linear regression were used to evaluate the mechanisms of sediment nitrate reduction processes.

Results and discussion

Sediments in the river-lake ecotone showed significantly higher denitrification (DEN), N2O production, dissimilatory nitrate reduction to ammonium (DNRA), and anammox rates compared to lake ecosystems. DEN was the dominant process contributing to nitrate reduction, accounting for 73.36% and 74.13% in the river-lake ecotone and lake ecosystem, respectively. DEN, N2O, and DNRA rates were significantly positively correlated with TOC, sulfide, and Fe2+ contents, which control the abundance of denitrifying and nrfA genes, ultimately increasing these rates.

Conclusion

The annual input of reactive N to the lake from the watershed is almost equivalent to the annual N removal. However, higher DNRA and N2O production rates indicate that approximately 23.59% of the annual N input to the lake may be transformed to NH4+ or N2O. N retention and N2O production in the river-lake ecotone significantly exceed those in the lake ecosystem, highlighting the ecotone as a hotspot for eutrophication risk and N2O emissions.

目的 湖泊生态系统中的河湖生态带可对沉积物硝酸盐异化作用还原过程产生强烈影响。然而,人们对河湖生态带生态系统中硝酸盐还原过程的机理还知之甚少。本研究旨在调查鄱阳湖沉积物硝酸盐异嗜还原过程的速率,并阐明这些过程的机理及其对环境的影响。采用 15N 同位素追踪实验测量了沉积物硝酸盐还原率和 N2O 生成率。采用聚合酶链式反应方法量化了反硝化菌、厌氧 16S rRNA 细菌和 nrfA 基因的丰度。结果与讨论与湖泊生态系统相比,河流-湖泊生态区沉积物的反硝化作用(DEN)、N2O产生量、硝酸盐还原成氨的异氨还原作用(DNRA)和anammox速率都明显较高。反硝化作用是硝酸盐还原的主要过程,在河湖生态带和湖泊生态系统中分别占 73.36% 和 74.13%。DEN、N2O和DNRA速率与总有机碳、硫化物和Fe2+含量呈显著正相关,而总有机碳、硫化物和Fe2+含量可控制反硝化基因和nrfA基因的丰度,最终提高这些速率。然而,较高的 DNRA 和 N2O 生成率表明,每年输入湖泊的氮中约有 23.59% 可能转化为 NH4+ 或 N2O。河流-湖泊生态带的氮滞留量和 N2O 生成量明显超过湖泊生态系统,突出表明生态带是富营养化风险和 N2O 排放的热点地区。
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引用次数: 0
The effect of urbanisation on wintertime soil respiration in the Russian Arctic 城市化对俄罗斯北极地区冬季土壤呼吸作用的影响
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-27 DOI: 10.1007/s11368-024-03885-9
Natalya Saltan, Viacheslav Vasenev, Maria Korneykova, Marina Slukovskaya, Marina Zavodskikh, Dmitrii Sarzhanov

Purpose

With ongoing global warming, the carbon (C) balance of Arctic ecosystems has become a ‘hot’ topic; however, C stocks and fluxes in the soil of Arctic cities remain overlooked. The research aimed to estimate wintertime soil respiration and its contribution to the cumulative annual CO2 emission from urban and natural soil of Apatity town in the Russian Arctic zone.

Materials and methods

Soil respiration and microclimatic parameters (i.e., air temperature, soil temperature at 0 cm, 7 cm and 20 cm, and snow height) were observed from November 2020 until May 2023 at two urban (UR) sites (UR1 was in the town centre, and UR2 was in the town’s outskirts) in comparison to the natural forested area. Soil chemical (i.e., bulk density, pHw, contents of available P, total C, N, bulk contents of Cu and Ni) and microbial (i.e., Cmic, BR, qCO2, number of rRNA gene copies and community-level physiological profile) properties were analysed to explain patterns in soil respiration.

Results

A thicker snow layer and warmer soil temperature at the urban sites determined a higher than at the natural site cumulative annual soil CO2 efflux. The wintertime and snowy-period respiration accounted for 20% and 50% of the cumulative annual soil CO2 efflux, respectively, with remarkable spikes during the thawing period. The high variation in soil respiration between urban sites was explained by different states of microbial communities, with higher activity shown for younger and more intensively managed soil at the UR2 site.

Conclusion

An adequate estimate of soil C balance in Arctic cities must consider the wintertime soil respiration as an essential part of the cumulative annual CO2 efflux, whereas monitoring points inside the cities represent the gradient in mesoclimatic conditions driven by the urban heat island effect as well as the age and management of urban soils.

目的随着全球持续变暖,北极生态系统的碳(C)平衡已成为一个 "热门 "话题;然而,北极城市土壤中的碳储量和碳通量仍被忽视。材料与方法从 2020 年 11 月到 2023 年 5 月,在两个城市(UR)地点(UR1 位于镇中心,UR2 位于镇郊区)观测了土壤呼吸和微气候参数(即气温、0 厘米、7 厘米和 20 厘米处的土壤温度以及积雪高度),并与自然林区进行了对比。分析了土壤化学(即容重、pHw、可利用磷含量、总碳、总氮、铜和镍的大量含量)和微生物(即 Cmic、BR、qCO2、rRNA 基因拷贝数和群落级生理特征)特性,以解释土壤呼吸的模式。冬季和积雪期的呼吸作用分别占土壤二氧化碳年累积排出量的 20% 和 50%,解冻期的呼吸作用显著增加。结论:要充分估计北极城市的土壤二氧化碳平衡,必须将冬季土壤呼吸作用视为累积年二氧化碳流出量的重要组成部分,而城市内的监测点则代表了由城市热岛效应以及城市土壤的年龄和管理所导致的中间气候条件的梯度。
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引用次数: 0
Enhancing soil particle content prediction accuracy: advanced hyperspectral analysis and machine learning models 提高土壤颗粒含量预测精度:先进的高光谱分析和机器学习模型
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-25 DOI: 10.1007/s11368-024-03886-8
Xiao Wang, Jianli Ding, Lijing Han, Jiao Tan, Xiangyu Ge

Purpose

Prediction of soil particle content is essential for soil texture classification, soil management and agricultural production. This study aimed to achieve high-accuracy predictions of soil particle content in the Ogan-Kucha River Oasis using hyperspectral data and environmental variables.

Materials and methods

We collected 62 representative surface soil samples (depth: 0–10 cm), and conducting indoor soil particle content and spectral measurements. The relationship between environmental variables and soil particle content was analyzed using the Boruta algorithm, and seven three-band spectral indices (TBIs) were constructed using an optimal band algorithm. By integrating environmental covariates and TBIs, soil particle inversion models were developed using the extreme learning machine (ELM), backpropagation neural networks (BP), neural networks optimized with the sparrow search algorithm (SSA-BP), and neural networks optimized with the sparrow search algorithm enhanced by Sine chaos mapping (Sine-SSA-BP).

Results and discussion

The results demonstrated that (1) the Boruta algorithm identified key environmental covariates that affect specific soil particle components; (2) there was significant variation in the correlation between different TBIs and soil particle content, with absolute correlation coefficients ranging from 0.225 to 0.852; (3) the estimation models established by the four machine learning algorithms performed well in predicting soil particle content, particularly for silt (R2: 0.664–0.858, RMSE: 11.107–17.128) and clay (R2: 0.444–0.857, RMSE: 0.550–1.405), for which higher accuracy was achieved; and (4) compared with the traditional ELM (R2: 0.422–0.664), BP (R2: 0.487–0.673) and SSA-BP models (R2: 0.625–0.777), the Sine-SSA-BP model showed a significant improvement in prediction accuracy, with the highest R2 reaching 0.858.

Conclusion

Compared to the traditional ELM, BP and SSA-BP models, the Sine-SSA-BP model significantly excelled in predicting soil particle content, offering innovative insights and robust support for soil texture classification and management.

目的预测土壤颗粒含量对于土壤质地分类、土壤管理和农业生产至关重要。本研究旨在利用高光谱数据和环境变量对奥干-库车河绿洲的土壤颗粒含量进行高精度预测。材料与方法 我们采集了 62 个具有代表性的表层土壤样本(深度:0-10 厘米),并进行了室内土壤颗粒含量和光谱测量。使用 Boruta 算法分析了环境变量与土壤颗粒含量之间的关系,并使用最优波段算法构建了七个三波段光谱指数(TBI)。通过整合环境协变量和 TBI,利用极端学习机(ELM)、反向传播神经网络(BP)、利用麻雀搜索算法优化的神经网络(SSA-BP)以及利用正弦混沌映射增强的麻雀搜索算法优化的神经网络(Sine-SSA-BP)建立了土壤颗粒反演模型。结果与讨论结果表明:(1)Boruta 算法确定了影响特定土壤颗粒成分的关键环境协变量;(2)不同 TBI 与土壤颗粒含量之间的相关性存在显著差异,绝对相关系数从 0.225 到 0.852;(3)四种机器学习算法建立的估算模型在预测土壤颗粒含量方面表现良好,尤其是对淤泥(R2:0.664-0.858,RMSE:11.107-17.128)和粘土(R2:0.444-0.857,RMSE:0.550-1.405)的预测精度较高;(4)与传统的 ELM(R2:0.422-0.664)、BP(R2:0.487-0.结论与传统的 ELM、BP 和 SSA-BP 模型相比,Sine-SSA-BP 模型在预测土壤颗粒含量方面表现突出,为土壤质地分类和管理提供了创新见解和有力支持。
{"title":"Enhancing soil particle content prediction accuracy: advanced hyperspectral analysis and machine learning models","authors":"Xiao Wang, Jianli Ding, Lijing Han, Jiao Tan, Xiangyu Ge","doi":"10.1007/s11368-024-03886-8","DOIUrl":"https://doi.org/10.1007/s11368-024-03886-8","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>Prediction of soil particle content is essential for soil texture classification, soil management and agricultural production. This study aimed to achieve high-accuracy predictions of soil particle content in the Ogan-Kucha River Oasis using hyperspectral data and environmental variables.</p><h3 data-test=\"abstract-sub-heading\">Materials and methods</h3><p>We collected 62 representative surface soil samples (depth: 0–10 cm), and conducting indoor soil particle content and spectral measurements. The relationship between environmental variables and soil particle content was analyzed using the Boruta algorithm, and seven three-band spectral indices (TBIs) were constructed using an optimal band algorithm. By integrating environmental covariates and TBIs, soil particle inversion models were developed using the extreme learning machine (ELM), backpropagation neural networks (BP), neural networks optimized with the sparrow search algorithm (SSA-BP), and neural networks optimized with the sparrow search algorithm enhanced by Sine chaos mapping (Sine-SSA-BP).</p><h3 data-test=\"abstract-sub-heading\">Results and discussion</h3><p>The results demonstrated that (1) the Boruta algorithm identified key environmental covariates that affect specific soil particle components; (2) there was significant variation in the correlation between different TBIs and soil particle content, with absolute correlation coefficients ranging from 0.225 to 0.852; (3) the estimation models established by the four machine learning algorithms performed well in predicting soil particle content, particularly for silt (<i>R</i><sup><i>2</i></sup>: 0.664–0.858, RMSE: 11.107–17.128) and clay (<i>R</i><sup><i>2</i></sup>: 0.444–0.857, RMSE: 0.550–1.405), for which higher accuracy was achieved; and (4) compared with the traditional ELM (<i>R</i><sup><i>2</i></sup>: 0.422–0.664), BP (<i>R</i><sup><i>2</i></sup>: 0.487–0.673) and SSA-BP models (<i>R</i><sup><i>2</i></sup>: 0.625–0.777), the Sine-SSA-BP model showed a significant improvement in prediction accuracy, with the highest <i>R</i><sup><i>2</i></sup> reaching 0.858.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Compared to the traditional ELM, BP and SSA-BP models, the Sine-SSA-BP model significantly excelled in predicting soil particle content, offering innovative insights and robust support for soil texture classification and management.</p>","PeriodicalId":17139,"journal":{"name":"Journal of Soils and Sediments","volume":"78 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142193351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Polylactic acid microplastics and polyhydroxyalkanoate microplastics affect cadmium mobility by regulating sediment geochemical properties 聚乳酸微塑料和聚羟基烷酸微塑料通过调节沉积物地球化学特性影响镉的迁移性
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-24 DOI: 10.1007/s11368-024-03889-5
Wang Li, Hanwen Huangdeng, Xiaofei Zhao, Bo Zu, Jiawen Li

Purpose

Microplastics may affect the bioavailability of heavy metals in sediments primarily through direct adsorption. However, the potential of microplastics to alter the distribution of heavy metal chemical forms by interfering with the geochemical properties of sediments which may indirectly affect the bioavailability of heavy metals, has been overlooked. This study investigated the impact of two widely used biodegradable microplastics, polylactic acid (PLA) and polyhydroxyalkanoate (PHA), on the distribution of cadmium (Cd2+) in cadmium-contaminated sediments.

Methods

Varying concentrations and particle sizes of PLA and PHA were added to Cd-pre-contaminated sediment and incubated under simulated submersion conditions for 60 days. The distribution of Cd2+ fraction in the sediment was determined, and the influence of biodegradable microplastics on cadmium mobility, through the regulation of sediment geochemical properties, was assessed.

Results

Compared to the control group, the pH value and organic matter content of sediments treated with biodegradable microplastics significantly decreased, which in turn caused a transformation in the chemical form of cadmium. Higher concentrations and smaller particle sizes significantly promote a shift in cadmium components toward acid-soluble forms, thereby enhancing the mobility of cadmium in sediments, thereby amplifying its environmental toxicity.

Conclusion

These results emphasize the potential of biodegradable microplastics to indirectly affect the mobility of cadmium by regulating sediment geochemical properties.

目的 微塑料可能主要通过直接吸附作用影响沉积物中重金属的生物利用率。然而,微塑料可能会通过干扰沉积物的地球化学特性来改变重金属化学形态的分布,从而间接影响重金属的生物利用率,这一点却被忽视了。本研究调查了两种广泛使用的可生物降解微塑料--聚乳酸(PLA)和聚羟基烷酸(PHA)--对镉污染沉积物中镉(Cd2+)分布的影响。结果与对照组相比,用可生物降解的微塑料处理过的沉积物的 pH 值和有机物含量明显降低,从而导致镉的化学形态发生变化。较高的浓度和较小的粒径可明显促进镉成分向酸溶性形式转变,从而增强镉在沉积物中的流动性,进而扩大其环境毒性。
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引用次数: 0
Biocementation for desert sand against wind-induced erosion with different treatment processes 用不同的处理工艺对沙漠沙地进行生物固化,防止风引起的侵蚀
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-21 DOI: 10.1007/s11368-024-03888-6
Yang Liu, Yaqing Gao, Bin Liu, Xinwen Cao, Jiawei Chen

Purpose

Wind-induced erosion is a serious problem that yields soil degradation and environmental pollution. Biocementation technologies have shown potential for sand fixation and wind erosion control in deserts and arid regions. The topic of this study is to investigate the effectiveness of biocementation against wind-induced erosion with different treatment processes.

Methods

Biocementation was achieved through soybean-urease induced calcium carbonate precipitation. Three different volumes of treatment solution were used to treat sand specimens by spraying, mixing and the combination methods in this study. The characteristics of sprayed and mixed crust were shown, and the properties of all the biotreated specimens including CaCO3 distribution, wind erosion rate, and penetration resistance were measured.

Results

The carbonate content in the soil increased with the amount of treatment solution. At the same dosage, the spraying method concentrated 1.0%-1.4% CaCO3 in the surface soil, while the mixing method generated 0.8% CaCO3 in a uniform spatial distribution. The top-concentrated CaCO3 resulted in a lower initial wind erosion rate of the sprayed specimen. The overall reinforcement of the soil by the mixing method produced higher penetration resistance and inhibited the development of wind erosion. The combination of the two methods increased penetration resistance to 200 N and reduced the wind erosion rate to almost 0 g·m−2·min−1.

Conclusion

The spraying and mixing methods induced different distribution patterns of CaCO3 precipitations in soil, leading to varying biocementation effectiveness. To resist severe and continuous wind-induced erosion, a combination of the two methods can be considered to improve the uniformity and strength of biocementation within a certain depth of the soil.

目的风蚀是一个严重的问题,会导致土壤退化和环境污染。生物固沙技术在沙漠和干旱地区的固沙和风蚀控制方面已显示出潜力。本研究的主题是调查不同处理工艺下生物固沙对风蚀的有效性。本研究使用了三种不同体积的处理液,分别以喷洒法、混合法和组合法处理砂试样。结果土壤中的碳酸盐含量随处理液用量的增加而增加。在相同剂量下,喷洒法在表层土壤中浓缩了 1.0%-1.4% 的 CaCO3,而混合法产生了 0.8% 的 CaCO3,且空间分布均匀。顶部浓缩的 CaCO3 使喷洒试样的初始风蚀率更低。混合法对土壤的整体加固产生了更高的抗渗透性,抑制了风蚀的发展。两种方法结合使用可将抗穿透力提高到 200 N,并将风蚀率降低到近 0 g-m-2-min-1。为抵御严重和持续的风蚀,可考虑将两种方法结合使用,以提高土壤一定深度内生物固结的均匀性和强度。
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引用次数: 0
A comparison of phytolith assemblages in surface soils along the 400-mm and 600-mm mean annual precipitation isohyets in Northeast China 中国东北地区年平均降水量 400 毫米等降水量线和 600 毫米等降水量线地表土壤中植物碎屑组合的比较
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-21 DOI: 10.1007/s11368-024-03879-7
Hongyan Liu, Dongmei Jie, Lidan Liu, Guizai Gao, Dehui Li, Nannan Li

Purpose

A prerequisite for the successful application of phytoliths in paleoenvironmental reconstruction is the correct interpretation of their environmental significance. In this context, key questions include: What magnitude of temperature/precipitation change is required to effect significant changes in surface soil phytolith percentages? When temperature/precipitation increases by a certain amount, what is the corresponding response of the percentages and assemblages of surface soil phytoliths? Additional detailed research is required to answer these questions.

Materials and methods

We analyzed the phytoliths in 90 surface soil samples collected along the isohyets corresponding to the mean annual precipitation (MAP) of 400 mm (with the mean annual temperature (MAT) range of 3.24℃) and 600 mm (with the MAT range of 8.29℃) in Northeast China. Our objective was to determine the response of phytoliths to different temperature gradients. Soil phytoliths were extracted and identified using heavy liquid separation and microscope observations.

Results

The DA of the phytolith percentages enabled the separation of samples collected along the two isohyets, with a total accuracy of 94.44%. MAT was the principal factor affecting the spatial distribution of phytoliths, with an explanation rate of 46.40%. In the surface soil samples collected along the two isohyets, the percentages of ELONGATE, ACUTE BULBOSUS, and PTERIDOPHYTE-TYPE morphotypes, were significantly negatively correlated with MAT, while the percentages of SQUARE were significantly positively correlated with MAT. However, the relationship between PAPILLATE percentages and MAT varied, showing both positive and negative correlations. A temperature gradient of ~ 3℃ was insufficient to significantly affect the percentages of SADDLE, BULLIFORM FLABELLATE, and BILOBATE. The phytolith index (C/W) can be effectively used to reconstruct the palaeoclimate in Northeast China. An MAP change of 200 mm resulted in significant changes in the percentages of ELONGATE, SADDLE, BULLIFORM FLABELLATE, and TRACHEARY (with the respective rates of 39.57%, 780.77%, 179.00% and 81.25%). However, the percentages of ACUTE BULBOSUS, SQUARE, RONDEL, BILOBATE, CRENATE, PTERIDOPHYTE-TYPE, SILICIFIED STOMATA, and PAPILLATE did not change significantly.

Conclusions

Our results contribute to an improved understanding of the response of various phytolith morphotypes to temperature, and they provide a modern process basis for future phytolith-based paleoclimatic reconstruction in this region.

目的 在古环境重建中成功应用植物岩石的先决条件是正确解释其环境意义。在这方面,关键问题包括需要多大的温度/降水量变化才能使表层土壤植物岩石的百分比发生显著变化?当温度/降水量增加到一定程度时,表层土壤植化石的百分比和组合会有什么相应的反应?材料与方法 我们分析了在中国东北地区年平均降水量(MAP)为 400 毫米(年平均气温(MAT)范围为 3.24℃)和 600 毫米(年平均气温(MAT)范围为 8.29℃)的等降水量线上采集的 90 个表层土壤样品中的植金石。我们的目的是确定植金石对不同温度梯度的响应。采用重液分离法和显微镜观察法提取并鉴定了土壤中的植金石。结果植金石百分含量的DA值可将沿两个等温线采集的样品进行分离,总准确率为94.44%。MAT是影响植生石空间分布的主要因素,解释率为46.40%。在沿两个等距线采集的表层土壤样本中,ELONGATE、ACUTE BULBOSUS 和 PTERIDOPHYTE-TYPE 形态的百分比与 MAT 呈显著负相关,而 SQUARE 形态的百分比与 MAT 呈显著正相关。然而,藻类的百分比与 MAT 的关系各不相同,既有正相关,也有负相关。约 3℃的温度梯度不足以显著影响 SADDLE、BULLIFORM FLABELLATE 和 BILOBATE 的百分比。植被指数(C/W)可以有效地重建中国东北地区的古气候。MAP变化200 mm时,ELONGATE、SADDLE、BULLIFORM FLABELLATE和TRACHEARY的比例发生了显著变化(分别为39.57%、780.77%、179.00%和81.25%)。结论 我们的研究结果有助于更好地理解各种植物形态类型对温度的响应,并为该地区未来基于植物形态的古气候重建提供了现代过程基础。
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引用次数: 0
Stabilization of river dredged sediments by means of alkali activation technology 利用碱活化技术稳定河道疏浚沉积物
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-21 DOI: 10.1007/s11368-024-03872-0
Karmen Fifer Bizjak, Lea Žibret, Mojca Božič, Boštjan Gregorc, Vilma Ducman

Purpose

Alkali activation process has been applied to fresh river clay-rich sediments in order to increase their mechanical properties and make them suitable for soil stabilization.

Materials and methods

Dredged sediments were mixed with up to 30 mass percent (ma%) of fly ash (FA) or ladle slag (LS) and after curing for 3 days at 60 °C, the bending and compressive strength have been determined. The mixtures which exhibited the highest strengths were further optimized for being used in soil stabilization. For this purpose, the sediment was stabilized with 4 ma% of quicklime (QL) and after 1 h 30 ma% of FA with alkali activator was added and cured for 1, 7 and 28 days.

Results

The stabilized sediment has a significantely better geomechanical performance in comparison with the sediment alone. Stabilizing the dredged sediment using alkali activation technology provides high enough strengths to eventually make it suitable for anti-flood embankments.

Conclusions

The results confirmed the suitability of the investigated technology for soil stabilization.

材料和方法将挖出的沉积物与高达 30 质量百分数(ma%)的粉煤灰(FA)或钢包炉渣(LS)混合,在 60 °C 下固化 3 天后,测定其抗弯强度和抗压强度。强度最高的混合物经进一步优化后可用于土壤稳定。为此,用 4 ma% 的生石灰(QL)稳定沉积物,1 小时后加入 30 ma% 的含碱活化剂的 FA,并固化 1、7 和 28 天。使用碱活化技术稳定疏浚沉积物可提供足够高的强度,最终使其适用于抗洪堤坝。
{"title":"Stabilization of river dredged sediments by means of alkali activation technology","authors":"Karmen Fifer Bizjak, Lea Žibret, Mojca Božič, Boštjan Gregorc, Vilma Ducman","doi":"10.1007/s11368-024-03872-0","DOIUrl":"https://doi.org/10.1007/s11368-024-03872-0","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>Alkali activation process has been applied to fresh river clay-rich sediments in order to increase their mechanical properties and make them suitable for soil stabilization.</p><h3 data-test=\"abstract-sub-heading\">Materials and methods</h3><p>Dredged sediments were mixed with up to 30 mass percent (ma%) of fly ash (FA) or ladle slag (LS) and after curing for 3 days at 60 °C, the bending and compressive strength have been determined. The mixtures which exhibited the highest strengths were further optimized for being used in soil stabilization. For this purpose, the sediment was stabilized with 4 ma% of quicklime (QL) and after 1 h 30 ma% of FA with alkali activator was added and cured for 1, 7 and 28 days.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The stabilized sediment has a significantely better geomechanical performance in comparison with the sediment alone. Stabilizing the dredged sediment using alkali activation technology provides high enough strengths to eventually make it suitable for anti-flood embankments.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>The results confirmed the suitability of the investigated technology for soil stabilization.</p>","PeriodicalId":17139,"journal":{"name":"Journal of Soils and Sediments","volume":"147 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142193354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Toxic potential of the soil from sites with mining waste in San Luis Potosí, Mexico 墨西哥圣路易斯波托西采矿废料场地土壤的毒性潜力
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-20 DOI: 10.1007/s11368-024-03884-w
Romy Patricia Díaz-Pérez, Eleno Uriel Sanjuan-Meza, José de Jesús Mejía-Saavedra, César Arturo Ilizaliturri-Hernández, Israel Razo-Soto, Alejandra Abigail Berumen-Rodríguez, Guillermo Espinosa-Reyes

Purpose

The aim of this study was to evaluate the toxic potential of mining residues by 1) evaluating the concentrations of heavy metals and arsenic in soil and earthworm’s samples from impacted and reference sites in Charcas and Villa de la Paz, San Luis Potosí, México; and 2) evaluating effects by laboratory bioassays and the comet assay in the earthworm Eisenia andrei.

Methods

The quantification of metals in soils was carried out by the Thermo Scientific Niton XL3t Gold Serie 500 environmental analyzer for X-ray fluorescence (XRF), and in the earthworm tissue through ICP-MS. The evaluation of the genotoxic potential of soils was assessed through movility and exposure bioassays with earthworms, determining DNA damage using the comet assay at the end of the bioassays.

Results

In Charcas, the concentrations in soils of heavy metals from highest to lowest were: Pb > Cu > Mn > Cd (Impacted); and Mn > Pb (Reference). In Villa de la Paz, the concentrations were: As > Mn > Cu > Pb (Impacted) and Mn > Pb > As (Reference). The exposure pattern to heavy metals in earthworms in Charcas was: Pb > As (Impacted and Reference); and in Villa de la Paz it was: As > Mn > Pb > Cu > Cd (Impacted), y Pb > As (Reference). In both mining districts, the magnitude of DNA damage in earthworms was: Impacted > Reference > Control.

Conclusion

The results indicate that the impacted soils of both sites represent a significant source of exposure to edaphic organisms, with a notable genotoxic potential.

目的本研究旨在通过以下方法评估采矿残留物的毒性潜力:1)评估墨西哥圣路易斯波托西州查尔卡斯和 Villa de la Paz 受影响地区和参照地区的土壤和蚯蚓样本中重金属和砷的浓度;2)通过实验室生物测定和彗星试验评估对蚯蚓 Eisenia andrei 的影响。方法利用 Thermo Scientific Niton XL3t Gold Serie 500 环境分析仪的 X 射线荧光 (XRF) 对土壤中的金属进行定量,并利用 ICP-MS 对蚯蚓组织中的金属进行定量。对土壤遗传毒性潜力的评估是通过蚯蚓活动性和暴露生物测定进行的,在生物测定结束时使用彗星测定法确定 DNA 损伤情况:铅、铜、锰、镉(受影响)和锰、铅(参考)。在 Villa de la Paz,浓度分别为砷、锰、铜、铅(受影响)和锰、铅、砷(参考)。查尔卡斯的蚯蚓接触重金属的模式为Pb > As(受影响和参考);而在 Villa de la Paz 则是:As > Mn > As(受影响和参考):As > Mn > Pb > Cu > Cd(受影响),y Pb > As(参考)。在这两个矿区,蚯蚓的 DNA 损伤程度分别为结果表明,这两个矿区受影响的土壤是环境生物的重要暴露源,具有显著的遗传毒性潜力。
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引用次数: 0
Manure and its biochar affect activities and stoichiometry of soil extracellular enzymes in croplands 粪肥及其生物炭影响耕地中土壤胞外酶的活性和化学计量
IF 3.6 3区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2024-08-20 DOI: 10.1007/s11368-024-03887-7
Zhengfeng An, Cole D. Gross, Xinli Chen, Edward W. Bork, Cameron N. Carlyle, Scott X. Chang

Purpose

The influence of organic amendments on the interplay among soil extracellular enzyme activities (EEAs) and their stoichiometry (EES) and nutrient availabilities, key indicators of resource limitations for soil microbes, is poorly understood. This study aims to investigate how manure compost (hereafter “manure”) and its biochar derivative affect EEAs, EES and soil fertility.

Materials and methods

We studied EEAs (BG, β-glucosidase; CBH, cellobiohydrolase; LAP, Leucine aminopeptidase; NAG, β-1,4-N-acetylglucosaminidase and AP, acid phosphatase), EES and soil fertility two years post-application of manure and biochar in central Alberta, Canada.

Results and discussion

Applying manure and its biochar did not affect soil permanganate oxidable carbon (C), total phosphorus (P), and available P and nitroegn (N). Manure application increased NAG activity by 13.9% (75.9 nmol h−1 g−1 soil) relative to the control (66.6 nmol h−1 g−1 soil), whereas biochar application increased LAP activity by 22.1% (64.6 nmol h−1 g−1 soil) compared to the manure treatment (52.9 nmol h−1 g−1 soil), suggesting that manure addition caused microbial C limitation, while biochar addition led to microbial N limitation. However, both manure and biochar treatments did not affect soil NAG, CBH and AP, and enzymatic C:N, C:P, and N:P stoichiometry. Manure and biochar and their interactions with the soil ultimately affect soil physicochemical properties.

Conclusions

Manure and its biochar differentially altered some soil N-cycling EEAs and C and N limitations two years after their applications.

目的 人们对有机添加剂对土壤胞外酶活性(EEAs)及其化学计量(EES)和养分利用率(土壤微生物资源限制的关键指标)之间相互作用的影响知之甚少。本研究旨在探讨粪肥堆肥(以下简称 "粪肥")及其生物炭衍生物如何影响 EEAs、EES 和土壤肥力。材料与方法我们在加拿大阿尔伯塔省中部研究了施用粪肥和生物炭两年后的 EEAs(BG,β-葡萄糖苷酶;CBH,纤维生物水解酶;LAP,亮氨酸氨肽酶;NAG,β-1,4-N-乙酰氨基糖苷酶;AP,酸性磷酸酶)、EES 和土壤肥力。结果与讨论施用粪肥及其生物炭不会影响土壤中的高锰酸盐氧化碳(C)、总磷(P)、可利用磷和硝基氮(N)。与对照组(66.6 nmol h-1 g-1 土壤)相比,施用粪肥使 NAG 活性提高了 13.9% (75.9 nmol h-1 g-1 土壤),而与粪肥处理(52.9 nmol h-1 g-1 土壤)相比,施用生物炭使 LAP 活性提高了 22.1% (64.6 nmol h-1 g-1 土壤),这表明施用粪肥导致了微生物的 C 限制,而施用生物炭则导致了微生物的 N 限制。然而,粪肥和生物炭处理并不影响土壤中的 NAG、CBH 和 AP 以及酶促 C:N、C:P 和 N:P 的化学计量。粪肥和生物炭及其与土壤的相互作用最终会影响土壤理化性质。
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引用次数: 0
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Journal of Soils and Sediments
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