Soil Pollution Research Articles

Quantitative expression of LNAPL pollutant concentrations in capillary zone by coupling multiple environmental factors based on random forest algorithm

The capillary zone plays a crucial role in migration and transformation of pollutants. Light nonaqueous liquids (LNAPLs) have become the main organic pollutant in soil and groundwater environments. However, few studies have focused on the concentration distribution characteristics and quantitative expression of LNAPL pollutants within capillary zone. In this study, we conducted a sandbox-migration experiment using diesel oil as a typical LNAPL pollutant, with the capillary zone of silty sand as the research object. The variation characteristics of LNAPL pollutants (total petroleum hydrocarbon) concentration and environmental factors (moisture content, electrical conductivity, pH, and oxidationreduction potential) were essentially consistent at different locations with the same height. These characteristics differed within range of 10.0–50.0 cm and above 60.0 cm from groundwater. A model for quantitative expression of concentrations was constructed by coupling multiple environmental factors of 968 sets-7744 data via random forest algorithm. The goodness of fit (R2) for both training and test sets was greater than 0.90, and the mean absolute percentage error (MAPE) was less than 16.00 %. The absolute values of relative errors in predicting concentrations at characteristic points were less than 15.00 %. The constructed model can accurately and quantitatively express and predict concentrations in capillary zone.

A review on the application of advanced soil and plant sensors in the agriculture sector

Sensors implemented in agriculture play a significant role in soil and plant growth and enable real-time physical and chemical interactions in the environment, such as temperature, moisture/humidity, pH, and contaminant levels. Additionally, these sensors provide essential data that can enhance crop growth scenarios, resist biotic and abiotic stresses, and improve crop production. This article provides a thorough examination of the evolving landscape of agricultural sensor technologies, perspectives, and challenges in the field. Currently, some of the key soil sensors used in agricultural programs, include those that measure moisture, temperatures, pH, organic matter components, insects, and soil pollutants. On the other hand, nanobiotechnology sensors implement optical, wireless, or electrical signals to provide information about plant signaling molecules related to the conditions of agronomic equipment. We shed more light on the use of nanomaterial-facilitated transport of genetically encoded sensors as devices for the investigation and advancement of advanced plant sensors. Innovative technologies, including wireless sensor networks and plant wearables, are also addressed with regard to their potential for precision agriculture. The paper concludes by presenting future perspectives and difficulties in the fields of soil sensors and intelligent agriculture. In summary, we provide a comprehensive and forward-looking perspective on the potential of nanotechnology to facilitate the development of intelligent plant sensors. These sensors are capable of communicating with and controlling electrical equipment, with the aim of tracking and improving the output and resources applied to individual plants.

Effects of freeze-thaw leaching on physicochemical properties and cadmium transformation in cadmium contaminated soil

This study aims to investigate the effect of the combined method of freeze–thaw and leaching on the removal of cadmium (Cd) in soil and to provide a theoretical basis for the remediation of farmland soil polluted by heavy metals. The removal process and mechanism of Cd were deduced through oscillatory leaching experiments and freeze–thaw leaching simulation experiments, and the influence of the freeze–thaw leaching technology on the soil environment was evaluated. The results of oscillatory leaching showed that a mixture consisting of 0.80 mol/L citric acid and 0.80 mol/L ferric chloride in a 1:19 vol ratio effectively remove 47.75 % of Cd, indicating that the composite leaching agent could effectively remove Cd from the soil. The results of the freeze–thaw leaching simulation experiment showed that although the freeze–thaw leaching treatment increased the total Cd content in the 0–5 cm soil layer, the total Cd content in the 5–10 cm, 10–15 cm, and 15–20 cm soil layers decreased by 5.08 %, 2.39 %, and 5.68 %, respectively. The freeze–thaw leaching increased the content of exchangeable Cd (p<0.05), carbonate bound Cd, but decreased organic bound Cd and residual Cd (p<0.05), thereby increasing the bioavailability of Cd. Freeze–thaw leaching not only increased the competitive adsorption of Cd2+ by decreasing soil pH, cation exchange capacity, and increasing the content of exchangeable calcium and exchangeable magnesium, thus reducing the adsorption of Cd in soil. And the results of XPS and FTIR similarly showed that the freeze–thaw leaching could promote the chelation between Cd2+ and hydroxyl, carboxyl and carbonyl functional groups. Although the freeze–thaw leaching destroyed the large particle structure (0.05–2 mm) and large pores in the soil, and increased the clay content (<0.002 mm) and the proportion of small pores in the soil, the XRD results showed that freeze–thaw leaching had no significant effect on the minerals in the soil. In summary, this study shows that freeze–thaw leaching has a significant effect on the removal of soil heavy metals, suggesting that the synergistic effect of freeze-thaw and leaching should be considered in the process of removing soil pollutants in seasonal freeze–thaw zones, and that this method provides a new insight into the remediation of contaminated soils.

Penanganan Pencemaran Tanah Pada Sampah Organik dengan Menggunakan Media Maggot

Based on observed research data, the volume of organic waste is increasing along with population growth, the number of consumers using food, and even the number of people interested in living necessities is increasing. With the increasing volume, it can be handled using the maggot media program to handle soil pollution by organic waste. From the data obtained, it was found that decomposition was faster in soft fruit waste and soft vegetable waste, then decomposition took longer in hard vegetable waste. This is because maggots, or fly larvae, more often choose to consume soft vegetable waste than hard ones.

Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils

Petroleum pollution in soil is very damaging to the areas affected by the accidental release of petroleum hydrocarbons and has destructive impacts on natural resources and environmental health. Therefore, its monitoring and analysis are critical, however, due to the cost and time associated with chemical approaches, finding a quick and cost-effective analytical method is valuable. This study was conducted to evaluate the potential of using visible near infrared (Vis-NIR) spectroscopy to predict total petroleum hydrocarbons (TPH) in polluted soils around the Shadegan ponds, in southern Iran. One hundred soil samples showing various degrees of pollution were randomly collected from topsoil (0–10 cm). The soil samples were analyzed for TPH using Vis-NIR reflectance spectroscopy in the laboratory and then following application of preprocessing transformation, partial least squares PLS regression as well as two machine learning models including random forest (RF), and support vector machine (SVM) were examined. The results showed that the reflectance values at 1725 nm and 2311 nm, respectively, served as indicative TPH reflectance features, exhibiting weaker reflection with rising TPH. Among the preprocessing methods, the baseline correction method indicated the highest performance than the others. According to the evaluation model criteria in the validation dataset, the efficiency of the three selected models was observed in the following order SVM &gt; RF &gt; PLS regression. The SVM model provided the best performance in the validation dataset with r2 = 0.85, root mean of square (RMSEP = 1.59 %, and the ratio of prediction to deviation (RPD) = 2.6. Overall, this study provided strong evidence supporting the considerable potential of Visible-NIR spectroscopy as a rapid and cost-effective technique for estimating TPH levels in oil-contaminated soils, surpassing traditional chemical analytical methods. Applying the mid-infrared spectrum (MIR) in combination with Visible-NIR data is expected to provide more comprehensive and accurate results when assessing soils in polluted areas, thereby enhancing the accuracy and reliability of the results across a diverse range of soil types.

Integrative approach to mitigate chromium toxicity in soil and enhance antioxidant activities in rice (Oryza sativa L.) using magnesium-iron nanocomposite and Staphylococcus aureus strains.

Pollutantsin soil, particularly chromium (Cr), posehigh environmental and health risks due to their persistence, bioavailability, and potential for causing toxicity. Cr impairment in plants act as a deleterious environmental pollutant that enters the food chain and eventually disturbs human health. Current study demonstrated the potential of integrative foliar application of magnesium-iron (Mg +Fe) nanocomposite with Staphylococcus aureus strains to alleviate Cr toxicity in rice (Oryza sativa) crops by improving yield and defense system. Growth and yield traits such as shoot length (15%), root length (17%), shoot fresh weight (14%), shoot dry weight (9%), root fresh weight (23%), root dry weight (7%), number of tillers (33%), number of grains (10%) and spike length (13%) improved by combined application of Mg + Fe (20mgL-1) nanocomposite and S. aureus strains with Cr (110mgkg-1), compared to when applied alone. Mutual Mg + Fe and S. aureus strains application augmented the SPAD value (9%), total chlorophyll (11%), a (12%), b (17%), and carotenoids (32%), with Cr (110mgkg-1), compared to alone. Malondialdehyde (13%), hydrogen peroxide (H2O2) (11%), and electrolyte leakage (7%) were significantly regulated in shoots with combined Mg + Fe and S. aureus strains application with Cr (110mgkg-1) contrasted to alone. Peroxidase (20%), superoxide dismutase (17%), ascorbate peroxidase (18%), and catalase (20%) were increased in shoots with combined Mg + Fe and S. aureus strains application with Cr (110mgkg-1) in comparison to alone. The combined application of Mg + Fe (20mgL-1) nanocomposite and S. aureus strains with Cr (110mgkg-1) enhanced the macro-micronutrients in shoots compared to alone. Cr accumulation in roots (21%), shoots (25%), and grains (47%) were significantly reduced under Cr (110mgkg-1) with combined Mg + Fe and S. aureus strains application, compared to alone. Subsequently, applying combined Mg + Fe and S. aureus strains is a sustainable solution to boost crop production under Cr toxicity.

Low concentrations of methyl jasmonate promote plant growth and mitigate Cd toxicity in Cosmos bipinnatus

Cadmium (Cd) is a biologically non-essential heavy metal, a major soil pollutant, and extremely harmful to plants. The phytohormone methyl jasmonate (MeJA) plays an important role in plant heavy-metal resistance. However, the understanding of the effects of MeJA supply level on alleviating Cd toxicity in plants is limited. Here, we investigated how MeJA regulated the development of physiological processes and cell wall modification in Cosmos bipinnatus. We found that low concentrations of MeJA increased the dry weight of seedlings under 120 µM Cd stress by reducing the transport of Cd from roots to shoots. Moreover, a threshold concentration of exogenous MeJA increased the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) in plant roots, the concentration of Cd in the root cell wall, and the contents of pectin and hemicellulose 1 polysaccharides, through converting Cd into pectin-bound forms. These results suggested that MeJA mitigated Cd toxicity by modulating root cell wall polysaccharide and functional group composition, especially through pectin polysaccharides binding to Cd, with effects on Cd transport capacity, specific chemical forms of Cd, and homeostatic antioxidant systems in C. bipinnatus.

Soil pollution in the European Union – An outlook

Soil pollution in the European Union (EU) is poorly quantified, because of several years of reduced attention and limited funding on soil research and monitoring. Moreover, issues such as different monitoring methodologies within Member States (MS), and quantification methods focused on pseudototal rather than the available fraction of pollutants, has been limiting our understanding of risk under soil pollution. Despite that, thanks to efforts from the scientific community, it was possible to achieve some progress, which is by far insufficient for the problem at hand. In the anticipation of future policy demands and towards a common strategy for tackling soil pollution in the EU, it seemed relevant to describe the limited knowledge and main uncertainties. Such analysis should provide evidence for the development of efficient policies, as well as updating current ones to better tackle the interdisciplinary of soil. This perspective provides our view on current knowledge on soil pollution at EU scale, by compiling the most updated assessments made at EU scale, identifying soil pollution drivers, impacts on health and the environment, and evaluating current state of knowledge. Allowing us to infer about current level of uncertainties and knowledge gaps and identify solutions through future research and policies. Our suggestions are in line with an increasing investment on research and innovation, but also more frequent updates of current legislation already tackling pollution and welcoming the new proposal for a Soil Monitoring Law as an important driver for soil knowledge development and implementation of a European monitoring system.

Environmental Topics in Contemporary Croatian Dystopian Proseand Prose with Dystopian Elements

Important ecological topics: climate change, pollution of air, water and soil, extinction of plant and animal species and food as a basic human need are in the corpus of dystopian texts and those with dystopian elements. The dystopian component in all of them belongs to the second wave of dystopian fiction (Matus 2009: 7). The corpus consists of a novella “White Promenade” (“Bijela promenada”, 2016) by Ed Barol and eight novels: Battlefield Istria (Bojno polje Istra, 2007) by Danilo Brozović, Centimeter from the Happiness (Centimetar od sreće, 2008) by Marinko Koščec, 2084: House of Great Misery (2084: Kuća Velikog Jada, 2012) by Ivo Balenović, Planet Friedman (2012) by Josip Mlakić, Romeo at the End of the History (Romeo na kraju povijesti, 2015) by Aljoša Babić, War for the Fifth Taste (Rat za peti okus, 2015) by Veljko Barbieri, Dedivination (Dedivinacija, 2018) by Jelena Hrvoj, and Crab’s Children (Rakova djeca, 2019) by Dalibor Perković. The theoretical perspective in the paper is ecocritical: aspects of the relationship between man and the nature that surrounds him are investigated, i.e. to what extent man perceives nature and its inhabitants as equal to himself. The last chapter gives an insight into the results and solutions that some authors offer as a way out of cataclysmic situations, and the meaning and efficiency of these solutions are valued from an ecocritical point of view.

Fodder trees: Identification, leaf biomass yield, nutritional quality and socioeconomic importance in Essera district, Dawuro zone, southwest Ethiopia

The scarcity of feed in terms of quantity and quality tremendously impacts livestock productivity in Ethiopia. Using fodder trees (FTs) as livestock feed could partially overcome this gap. Thus, the present study aimed to identify species, estimate leaf biomass yield (LBY), evaluate nutritional quality and assess the socioeconomic importance of FTs in the Essera district. The study sites and households (HHs) were selected using a multistage sampling procedure. Data on the socioeconomic importance of FTs were collected from 134 randomly selected HHs. Ten FT species were evaluated for LBY determination, and 15 FTs (including nine FT species) were evaluated for nutritional quality across three agroecologies (AEs). In total, 34 FTs were identified at the species level. The overall mean of LBY of the FTs ranged from 14.32 to 370.94 kg/tree, with the lowest and highest values of 10.85 and 430.27 kg/tree at mid- and low-altitudes, respectively. A significant difference (p < 0.05) in the chemical composition of the selected FTs was observed between AEs. The overall mean of dry matter (DM), ash, crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre (ADF), and acid detergent lignin (ADL) contents of the FTs ranged from 90.03 to 93.55 %, 6.26–16.52 %, 13.05–25.50 %, 33.06–50.42 %, 25.58–34.52 %, and 4.19–8.38 %, respectively. Moreover, the in vitro dry matter digestibility (IVDMD) of the FTs ranged from 37.80 to 67.89 %. The results indicated that the overall mean tannin, phytate, and oxalate contents were 2.84 ± 0.12 %, 0.60 ± 0.05 %, and 1.66 ± 0.21 %, respectively. Antinutritional factors (ANFs) were significantly (p < 0.05) influenced by FT species. In addition to feed sources, FTs were used for air pollution reduction (52.2 %), income generation (44.0 %), and soil erosion prevention (34.3 %) in the studied areas. In conclusion, due to the high CP content, high digestibility potential, low to moderate fibre and lignin contents, and tolerable levels of ANFs in FTs, the use of FTs as supplementary feed to livestock in the study area is recommended. Further experimental studies should be conducted on the impact of FTs on livestock performance.

Investigating the Impacts of Microplastics on the Plants Growth in Agriculture Soil

MP in the environment thrive for a long time and enter the ecosystem in vast amounts every day, microplastics pose a serious threat to the entire planet at the moment. The purpose of this study was to ascertain whether MP contamination affects plant development, the physical and chemical qualities of the soil, and soil metabolism. Several research databases about the identification and consequences of MP pollution of soil are available to evaluate its sources, impacts, mitigation, and global perspective. The effects of artificially spiked Poly Vinyl Acetate (PVA) micro plastics soil at different concentrations (0%, 0.5%, 1 %, 1.5%, 2%) on the growth parameters and nutrient contents of horse gram, green gram and chili grown soil. The germination percentage, seedlings length and vigor index was also reduced due to the presence of PVA particles which may be suspected to hinder the growth of the seeds, also the Boron and the Sulphur concentrations showed drastic reduction at higher concentrations of PVA micro plastics in green gram, horse gram and chili grown soil. Along with he reduced pH and Chlorophyll a due to the presence of PVA particles. Hence this study can help to focus on future need of remediation of micro plastics contaminated soil.

Experimental study on freezing temperature and its influencing factors of loess contaminated by heavy metals

This paper attempts to reveal the freezing temperature and its influencing factors of heavy metal-contaminated loess by adopting two cooling methods: fast and slow grading. As a result, Lanzhou loess was used as an experimental material to make polluted soil with varying heavy metal concentrations and initial water content. The pollutant elements included Zn, Ni, Cu, Cr, Cd, and Pb. The findings demonstrate that: 1) The slow cooling rate causes supercooling, jumping, and a progressive decrease in the temperature of the polluted soil. Different cooling methods have no obvious effect on freezing temperature. Furthermore, the freezing temperature of contaminated soil varies depending on its water content. The impact of increasing water content on freezing temperature is not evident; 2) The freezing temperature of loess decreases with the increase of heavy metal ion content. The freezing temperature of loess polluted by Zn, Ni and Cd ions decreased linearly with the increase of ion content. The influence of cations on the freezing temperature of loess is as follows: Zn2+> Ni2+> Cd2+> Cr3+> Pb2+> Cu2+. The influence order of anions is Cl− > SO42−; 3) The freezing temperature of loess containing heavy metal ions is about equal to the freezing temperature of the corresponding heavy metal solution plus the freezing temperature of loess itself. The freezing temperature of heavy metal-polluted loess follows the temperature superposition principle.

The Impact of Soil Pollution on Human Health : Literature Review

Soil is the earth's layer that is crucial for the life of all living creatures. Chemicals, like pesticides, can introduce pollutants that contaminate the soil and negatively impact human health. Direct exposure to pesticides can lead to acute or chronic poisoning risks. This study aims to investigate the effect of soil pollution from pesticide pollutants on human health issues. The method employed is a literature review, sourcing materials that discuss the impact of soil pollution due to pesticides. Literature sources were retrieved from Google Scholar, ResearchGate, and other journal platforms. The review included 18 national journals and 12 international journals, with 6 journals on relevant topics summarized in an analysis table. The study's findings indicate that soil pollution from chemicals, including pesticides, significantly affects human health.

Pollution index and distribution characteristics of soil heavy metals among four distinct land use patterns of Taojia River Basin in China

The accumulation of heavy metals (HMs) in soil has become a pressing global concern due to their persistent and non-degradable nature, resulting in the accumulation of toxic levels in the environment. In recent years, human activities have significantly altered land use patterns, leading to a marked increase in soil HM levels and subsequent land degradation. This research focused on four distinct land use patterns (vegetable fields (VGF), woodland (WDL), cultivated land (CVL), and wasteland (WSL)) commonly found in the Taojia River Basin, Hunan, China, which is facing severe HM pollution. Soil samples were collected from three different depths (0–10 cm, 10–20 cm, and 20–30 cm) to investigate HM distribution and intensity (cadmium (Cd), lead (Pb), copper (Cu), nickel (Ni), and zinc (Zn)), comprehensive soil pollution index, and their relationship with soil microbial and enzymatic activities. The results revealed that the Cd content exceeded the national standard for soil environmental quality, whereas concentrations of other HMs did not exceed the national standard across the four land use patterns. Most soil HMs were concentrated in the surface layer, with Cu, Pb, and Zn concentrations gradually decreasing with increasing soil depth. Conversely, Ni and Cd concentrations tended to increase with greater soil depth. There were significant positive correlations among HMs, indicating homogeneity among them. The pollution index across the HMs ranked as Cd > Ni > Zn > Cu and Pb, with land uses following the order of VGF (2.70) > CVL (2.12) > WSL (1.72) > WDL (1.63). Soil microbial and enzymatic activity was not the primary factor influencing HM concentration. The specific impacts of land use changes on soil HMs depend on management practices, local conditions, and the distribution characteristics of the HMs involved.

A hyperspectral metal concentration inversion method using attention mechanism and graph neural network

Soil heavy metal contamination has emerged as a global environmental concern, posing significant risks to human health and ecosystem integrity. Hyperspectral technology, with its non-invasive, non-destructive, large-scale, and high spectral resolution capabilities, shows promising applications in monitoring soil heavy metal pollution. Traditional monitoring methods are often time-consuming, labor-intensive, and expensive, limiting their effectiveness for rapid, large-scale assessments. This study introduces a novel deep learning method, SpecMet, for estimating heavy metal concentrations in naturally contaminated agricultural soils using hyperspectral data. The SpecMet model extracts features from hyperspectral data using convolutional neural networks (CNNs) and achieves end-to-end prediction of soil heavy metal concentrations by integrating attention mechanisms and graph neural networks. Results demonstrate that the OR-SpecMet model, which utilizes raw spectral data, achieves optimal prediction performance, significantly surpassing traditional machine learning methods such as multiple linear regression, partial least squares regression, and support vector machine regression in estimating concentrations of lead (Pb), copper (Cu), cadmium (Cd), and mercury (Hg). Moreover, training specialized OR-SpecMet models for individual heavy metals better accommodates their unique spectral-concentration relationships, enhancing overall estimation accuracy while achieving a 20.3 % improvement in predicting low-concentration mercury. The OR-SpecMet method showcases the superior performance and extensive application potential of deep learning techniques in precise soil heavy metal pollution monitoring, offering new insights and reliable technical support for soil pollution prevention and agricultural ecosystem protection. The code and datasets used in this study are publicly available at: https://github.com/zhang2lei/metal.git.

Heavy Metal Pollution Studies of Soil from the Oti-Dompoase Dumpsite in Kumasi

Waste disposal sites contribute a great deal to environmental pollution. The degree of pollution brought on by heavy metal contamination of soil collected from the Oti-Dompoase dump site in Kumasi of Ashanti region, Ghana was investigated in this study. Twelve (12) composite samples of the surface soil were taken in total at 10 cm depth from the dumpsite to conduct metal analysis. The measurement of heavy metal concentration was done utilizing Atomic Absorption Spectrometer, which uses the absorbance at various wavelength of the electromagnetic spectrum to determine the chemical identity of constituents of the sample and their concentrations with the help of standard solutions and Beer-Lambert law. The mean metal concentrations of soil samples were reported and arranged in terms of magnitude as follows: Iron (2,582.21 mg/kg) &gt; Copper (348.50 mg/kg) &gt; Lead (324.85 mg/kg) &gt; Manganese (192.27 mg/kg) &gt; Zinc (146.24 mg/kg) &gt; Cadmium (7.06 mg/kg). Physiochemical properties such as electrical conductivity (EC), pH and organic matter and water content (%) were also investigated using a PHYWE electrical conductivity meter, pH meter and an oven, respectively. Most of the parameters analysed indicated pollution when compared to baseline values, while human exposure levels were within World Health Organization (WHO) standards. Assessments using geo-statistics of different hazard indicators, including pollution load index, contamination factor (CF), and geo-accumulation, all point to heavy metal pollution of the soil samples. Cadmium contamination was very high based on the pollution indices (CF, geo-accumulation, and pollution load) and manganese has the lowest level of pollution. There is limited data on the extent of pollution caused by the Oti-Dompoase dumpsite and this study will serve to fill this knowledge gap and contribute to the Millenium Development Goal seven (7) by providing data on the extent of pollution of soil around the Oti-Dompoase dumpsite and highlight the need for regular monitoring and on-site remediation strategies to safeguard the site to ensure environmental sustainability.

A 6-year review status on soil pollution in coal mining areas from Europe.

Coal is an essential component in achieving the goal of fulfilling the energy demands of the world. Nevertheless, the extensive practice of coal mining has resulted in environmental contamination through the release of both organic and inorganic pollutants, including polycyclic aromatic compounds and potentially toxic elements, into various mediums, notably soil. The escalating coal-mining activities across Europe have amplified the concentration of specific elements in the soil. Therefore, a thorough and meticulous assessment of these environmental impacts is imperative to furnish policymakers, industries, and communities with valuable insights, facilitating the formulation and adoption of effective mitigation strategies. Considering the results of studies from 2018 to 2023, this review thoroughly evaluates the current state of soil pollution in the coal mining areas of Europe, focusing on polycyclic aromatic hydrocarbons and potentially toxic elements. By analyzing the acquired data, this study aims to evaluate the levels of contamination by these pollutants in soils. The findings reveal that low molecular weight polycyclic aromatic hydrocarbons dominate the polycyclic aromatic compounds present, while potentially toxic elements including Zn, Pb, Mn, and Cr emerge as major contributors to soil contamination in coal mining areas from Europe.

Fast and efficient remediation of antimony-contaminated surface water and field soil using alumina supported Fe–Mn binary oxide

Antimony (Sb) pollution in surface water and soil has earned extensive attention. Our previous study synthesized a new class of alumina supported Fe–Mn binary oxide (Fe–Mn@Al2O3) and found that MnO2 in the composite oxidized Sb(III) to Sb(V) and FeOOH and Al2O3 played an indispensable role in adsorption of Sb(III) and Sb(V). This study further explored the removal of Sb in surface water and in situ sequestration of Sb in Sb-contaminated field soil via Fe–Mn@Al2O3. Sb removal from water was pH independent and the removal efficiencies of Sb(III) and total Sb kept constant at 95.4% and 60.5%, respectively, over a pH range of 5.0–10.0. Increasing dissolved organic matter (DOM) from 0 to 22.8 mg/L had negligible effect on Sb(III) removal whereas inhibited the total Sb removal from 60.5% to 51.2%. Dissolved oxygen cannot oxidize aqueous Sb(III), yet, enhanced the Sb(III) removal whereas decreased the total Sb removal. The composite performed well in natural surface water with high DOM and inorganic ligands. In addition, the composite effectively immobilized Sb in field soil. 5% of the composite significantly inhibited the H2SO4 and HNO3 leachable Sb by 93.6% after 30 d. The amendment transformed the Sb speciation from more easily available fractions (i.e., exchangeable, carbonate-bound, and Fe–Mn oxides-bound species) into more stable fractions (i.e., organic material bound and residual species), leading to declined Sb bioaccessibility and reduced environmental risk. The composite facilitated a long-term stability of Sb in soil. The study demonstrated an easy, fast, and effective strategy for efficient immobilization of Sb in water and soil.

Information technology-based environmental management: A review

This study aimed to describe the role of information and communication technologies (ICT) in the management of natural resources. We conducted a systematic review of 320 articles from academic databases like Scopus, Latindex, Scielo, Dialnet, Redalyc, and Google, scanning the period from 2018 to 2023. We selected forty articles that discussed the application of ICT in predicting and mitigating issues related to climate change, erosion, environmental pollution, drought, and floods. The results indicated that climate change is one of the main drivers of environmental problems such as droughts and floods. Therefore, we concentrated our efforts on developing technologies like artificial intelligence (AI), machine learning (ML), the use of sensors, the Internet, and others. These tools make it possible to manage large amounts of information in real time and make informed decisions to prevent the aforementioned environmental problems. Despite the success of new technologies, it is important to note that they are not within the reach of the entire population due to the existing gap between the most technologically developed countries and those that are lagging. Therefore, we need to make additional efforts to enhance accessibility to technologies, enabling all countries to reap their benefits. In addition, efficient management of natural resources is required to minimize soil and water pollution. This implies the adoption of sustainable practices in the productive sector.

Research on Judicial Application of Soil Pollution Remediation Responsibility in China

Research on Judicial Application of Soil Pollution Remediation Responsibility in China