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Characterization and Adsorption Mechanism of Methylene Blue Dye by Mesoporous Activated Carbon Prepared from Rice Husks 稻壳介孔活性炭对亚甲基蓝染料的吸附性能及机理研究
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.32526/ennrj/21/20230074
Suchada Sawasdee, Prachart Watcharabundit
Environmental contamination due to synthetic dyes is a severe problem due to their adverse eco-toxicological effects. This study prepared activated carbon from H3PO4-activated rice husks (AC-RH) to adsorb methylene blue (MB) and predicted the adsorption mechanism. The AC-RH was characterized for N2 adsorption, surface functional groups, chemical compositions, and surface morphology. The activated carbon was classified to be a mesoporous material because 87% of its pore volume diameters are 3-50 nm. MB adsorption was studied under different conditions. Optimal MB adsorption occurred at pH 8, and the ideal equilibrium time was 360 min. The equilibrium adsorption was evaluated at concentrations of MB between 25 and 200 mg/L at 30°C. The Freundlich isotherm model matched the equilibrium data, and the greatest adsorption capacity of the Langmuir isotherm was 26.31 mg/g. The kinetic analysis revealed that the adsorption was pseudo-second-order, and its rate constant (k2) was higher at higher temperatures. For the thermodynamic adsorption study at 20 to 40°C, the Gibbs free energy (G) values were -6.291 to -9.197 kJ/mol, and the activation energy (Ea) was 26.248 kJ/mol: therefore, the methylene blue adsorption was spontaneous and physical. This study also revealed that the adsorption mechanisms were H-bonding, pore-filling, Yoshida H-bonding, n- interactions, electrostatic, and cation exchange.
由于合成染料具有不良的生态毒理学效应,其对环境的污染是一个严重的问题。以h3po4活化稻壳(AC-RH)为原料制备活性炭吸附亚甲基蓝(MB),并对其吸附机理进行了预测。对AC-RH进行了N2吸附、表面官能团、化学成分和表面形貌表征。该活性炭87%的孔体积直径为3 ~ 50nm,属于介孔材料。研究了不同条件下对MB的吸附。最佳吸附条件为pH为8,理想平衡时间为360 min。30°C条件下,MB浓度为25 ~ 200 mg/L时,吸附效果最佳。Freundlich等温线模型符合平衡数据,Langmuir等温线的最大吸附量为26.31 mg/g。动力学分析表明,该吸附为准二级吸附,温度越高,吸附速率常数(k2)越高。在20 ~ 40℃的热力学吸附研究中,吉布斯自由能(G)为-6.291 ~ -9.197 kJ/mol,活化能(Ea)为26.248 kJ/mol,表明亚甲基蓝的吸附是自发的、物理的。吸附机理为氢键、孔填充、吉田氢键、n-相互作用、静电和阳离子交换。
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引用次数: 0
Carbon Storage of Leyte Sab-A Basin Peatland, Philippines 菲律宾Leyte saba盆地泥炭地的碳储量
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.32526/ennrj/21/20230015
Pearl Aphrodite Bobon-Carnice, Jeffrey P. Chanton, Veronica P. Migo, Decibel V. Faustino-Eslava
Leyte Sab-A Basin peatland (LSBP) is the second largest peatland in the Philippines and comprises 3,088 ha (31 km2). The study estimated the C storage and carbon sequestration capacity of the peatland’s four (4) ecotypes, namely, swamp forest (SF), marshland (ML), agroforestry (AF), and agricultural land (AL) using allometric equations. SF rendered the highest downed wood C-stocks followed by AL and AF. For the litter C-stocks, AF rendered the highest, followed by SF, ML, and AL. SF rendered the highest root C-stocks and CO2 sequestered, followed by AL and AF. C% is highest in ML with values ranging from 32-43 C% across the soil peat depth, while SF ranges from 29-34 C%, and AL and AF both with 19-37 C%. The LSBP stores 36.6 Tg of C and 134.5 Tg of CO2 sequestered. This C storage amount can represent 0.04% of tropical peat carbon.
Leyte saba盆地泥炭地(LSBP)是菲律宾第二大泥炭地,面积为3088公顷(31平方公里)。利用异速生长方程对泥炭地沼泽林(SF)、湿地(ML)、农林业(AF)和农用地(AL) 4种生态类型的碳储量和固碳能力进行了估算。在凋落物C储量中,落叶C储量以落叶C储量最高,其次是顺丰、ML和AL。根系C储量和CO2封存量以顺丰最高,其次是AL和AF。在土壤泥炭深度上,土壤C含量在ML中最高,为32- 43%,顺丰为29- 34%,而AL和AF均为19- 37%。LSBP储存了36.6 Tg的C和134.5 Tg的CO2。这种碳储量可以代表热带泥炭碳的0.04%。
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引用次数: 0
Monitoring and Modeling of Spatio-Temporal Urban Expansion and Land Use/Land-Cover Change in Mountain Landscape: A Case Study of Dalat City, Vietnam 山地景观城市扩展与土地利用/覆被变化的时空监测与建模——以越南大叻市为例
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.32526/ennrj/21/20230086
Cuong Huu Nguyen, Cuong Van Nguyen, Tien My Ngoc Nguyen
The lack of ability to control human activities led to changes of land use/land cover (LULC) in Dalat City where rapid urbanization and the demand to expand agricultural land have resulted in dramatic forest reductions. This study assessed the rate and extent of LULC changes over the past 12 years and simulated future scenarios in Dalat City, Lam Dong Province, Vietnam by using an integrated model of Markov chain and logistics regression. Three land-use maps used to analyze land-use change were extracted from satellite images in 2010, 2016, and 2022 by classification approach. The outcome of this process indicates a significant increase in agricultural and built-up land of 48.22 km2 and 9.36 km2, respectively; a decrease in forest land of 55.61 km2, and a minor change in water bodies and bare land in the 2010-2022 period. Prediction maps of land-use change in 2028 and 2034 are generated after the model is validated by comparing the actual map with the prediction map of LULC in 2022 using Kappa statistics. Transition of forest area to other land use types, especially land for expansion of built-up and agricultural land is the crucial trend of land-use change in the future according to the forecast model. Compared to 2022, forest area in 2034 will decrease by 60.65 km2 while built-up and agricultural land will increase by 14.07 km2 and 43.61 km2, respectively. The research results provide valuable information as a foundation for land-use policy planning and local urban development to ensure sustainable development objectives.
由于缺乏控制人类活动的能力,导致了大叻市土地利用/土地覆盖(LULC)的变化,快速的城市化和扩大农业用地的需求导致了森林的急剧减少。本研究利用马尔可夫链和物流回归的综合模型,评估了越南林同省大叻市过去12年土地利用价值变化的速度和程度,并模拟了未来的情景。采用分类方法从2010年、2016年和2022年的卫星影像中提取了用于分析土地利用变化的3幅土地利用图。这一过程的结果表明,农业用地和建设用地分别显著增加48.22 km2和9.36 km2;2010-2022年林地面积减少55.61 km2,水体和裸地面积变化不大。利用Kappa统计将实际地图与2022年LULC预测图进行对比,对模型进行验证,生成2028年和2034年土地利用变化预测图。根据预测模型,森林面积向其他土地利用类型的过渡,特别是建设用地和农用地的扩张,是未来土地利用变化的关键趋势。与2022年相比,2034年森林面积将减少60.65 km2,建设用地和农业用地将分别增加14.07 km2和43.61 km2。研究结果为土地使用政策规划和地方城市发展提供了有价值的信息基础,以确保可持续发展目标。
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引用次数: 0
Soil Carbon Stock and Soil Properties under Different Land Use Types of Agriculture 不同农业土地利用类型下的土壤碳储量与土壤性质
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.32526/ennrj/21/20230056
Utain Chanlabut, Benchawan Nahok
Agriculture soils play a crucial role in carbon storage and food security. However, uncertainty remains about soil carbon stocks due to spatial variability. This study estimated soil carbon stocks in agricultural land and examined the impact of land use and soil properties on soil organic carbon in Ratchaburi Province, Thailand. Soil samples were collected at three depths (0-10, 10-20, and 20-30 cm) within five different land use types: cassava, coconut, paddy fields, pineapple, and sugarcane. The results revealed that soil organic carbon decreased with increasing depth. Significant differences in soil carbon and soil properties were observed among land uses. The carbon stocks at 0-30 cm depth were as follows: coconut (35.87 mg C/ha), paddy fields (31.17 mg C/ha), sugarcane (28.02 mg C/ha), pineapple (21.79 mg C/ha), and cassava (16.12 mg C/ha). The carbon stocks were significantly correlated with sand, density, clay, silt, and pH. This study highlights the impact of land use types on carbon stocks in agricultural soils and emphasizes the role of soil properties, particularly soil texture, in influencing carbon storage variability. Furthermore, the study highlights the carbon storage potential in agricultural areas, which could guide the formulation of policies to utilize agricultural land to offset CO2 emissions from other sectors.
农业土壤在碳储存和粮食安全方面发挥着至关重要的作用。然而,由于空间变异性,土壤碳储量仍存在不确定性。本研究估算了泰国Ratchaburi省农业用地的土壤碳储量,并考察了土地利用和土壤性质对土壤有机碳的影响。在五种不同的土地利用类型(木薯、椰子、稻田、菠萝和甘蔗)内的三个深度(0-10、10-20和20-30厘米)采集土壤样本。结果表明,土壤有机碳随深度的增加而减少。不同土地利用方式的土壤碳和土壤性质存在显著差异。0-30 cm深度的碳储量如下:椰子(35.87 mg C/ha)、稻田(31.17 mg C/ha。碳储量与沙子、密度、粘土、淤泥和pH值显著相关。本研究强调了土地利用类型对农业土壤碳储量的影响,并强调了土壤性质,特别是土壤质地,在影响碳储量变异性方面的作用。此外,该研究强调了农业地区的碳储存潜力,这可以指导制定利用农业土地抵消其他部门二氧化碳排放的政策。
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引用次数: 0
Forest Restoration in an Abandoned Seasonally Dry Tropical Forest in the Mae Klong Watershed, Western Thailand 泰国西部Mae Klong流域废弃的季节性干旱热带森林的森林恢复
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.32526/ennrj/21/20230121
Ritthikai Saikhammoon, S. Sungkaew, Sathid Thinkampaeng, Wongsatorn Phumphuang, T. Kamyo, Dokrak Marod
Deforestation for the development of agricultural land is a critical driver of biodiversity loss. We examined the relationships between tree species and environments after the abandonment of a plot of land at the Mae Klong Watershed Research Station, Western Thailand. Vegetation monitoring was conducted every two years on a 16-ha permanent plot established in 2011 until 2019. All trees with diameter at breast height (DBH)≤1 cm were measured. Canonical correspondence analysis (CCA) was performed to investigate the relationships between tree species and environments. We found a total of 199 tree species in the plot, which comprised both pioneer and climax species. The high tree density and low basal area were 1,280 stem/ha and 7.30 m2/ha, respectively. During 2011-2019, the species richness and total tree density were decreased by nine species (from 206 to 197 species) and 83 stem/ha (from 1,120 to 1,037 stem/ha). In contrast, the total basal area increased from 6.41 to 7.26 stem/ha. According to the measured environmental variables, mixed deciduous species such as Pterocarpus macrocarpus and Xylia xylocarpa var. kerrii preferred higher elevations and drier sites compared to dry evergreen species such as Dipterocarpus alatus. Early colonizing species such as Trema orientalis and Ficus species exhibited rapid population decreases, whereas climax species such as Lagerstroemia tomentosa exhibited highly successful regeneration under natural conditions. Artificial reforestation efforts may be required in areas with large disturbance, including the planting of mixed tree species to promote natural regeneration and reduce the recovery period.
为开发农业用地而砍伐森林是生物多样性丧失的重要驱动因素。我们在泰国西部的Mae Klong流域研究站研究了一块土地被废弃后树木物种与环境之间的关系。植被监测每两年对2011年至2019年建立的一块16公顷的永久地块进行一次。测量了所有胸径(DBH)≤1cm的树木。采用典型对应分析法(CCA)研究了树种与环境的关系。我们在该地块共发现199个树种,包括先锋树种和顶极树种。高密度和低基面积分别为1280干/公顷和7.30平方米/公顷。2011-2019年期间,物种丰富度和树木总密度分别减少了9种(从206种减少到197种)和83茎/公顷(从1120茎/公顷减少到1037茎/公顷)。相反,总基底面积从6.41干/公顷增加到7.26干/公顷。根据测得的环境变量,与翼龙等干燥常绿物种相比,混合落叶物种,如大果翼龙和木香木,更喜欢海拔更高、更干燥的地方。早期定植物种如银耳和榕树物种表现出快速的种群减少,而顶极物种如毛紫薇在自然条件下表现出高度成功的再生。可能需要在干扰较大的地区进行人工造林,包括种植混合树种,以促进自然再生并缩短恢复期。
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引用次数: 0
Estimating Land Use Change Effects on Groundwater Recharge in Nadi and Kabinburi, Thailand 土地利用变化对泰国楠地和卡宾武里地下水补给的影响
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.32526/ennrj/21/20230111
Patchares Chacuttrikul, Supattra Thueksathit
The effect of land use change on groundwater recharge in Nadi and Kabinburi Districts, Prachinburi Province, Thailand was studied by forecasting land use change using the CLUE model and estimating groundwater recharge using the H08 model. The results suggested that compared to the current average groundwater recharge, the groundwater recharge estimates from scenario 1 (changing the miscellaneous areas of mostly wasteland to mixed perennial areas) and scenario 2 (predicting the land use scenario for the next 10 years based on trends of land use change from the past to the present) were greater by 1.46 and 2.25%, respectively. In scenario 1, the increase in forest and mixed perennial areas increased the groundwater recharge by helping to slow down the surface runoff and, thus, increased the chances of water seepage into the soil. However, increasing the perennial area or turning wasteland into mixed perennial area (scenario 1), resulted in an increase in the groundwater recharge that was similar to the results from simulating future land use scenarios in the next 10 years (scenario 2). Therefore, to increase the efficiency of groundwater management and drought relief, the relevant agencies should adopt appropriate land use planning, be encouraged to plant perennials or support mixed farming on wasteland, restore degraded forest areas, and improve the management of water use concurrently.
采用CLUE模型预测土地利用变化,H08模型估算地下水补给量,研究了泰国普拉钦武里省Nadi区和Kabinburi区土地利用变化对地下水补给的影响。结果表明:与当前平均地下水补给量相比,情景1(将主要为荒地的杂区转变为混合多年生区)和情景2(根据过去到现在的土地利用变化趋势预测未来10年的土地利用情景)的地下水补给量分别高出1.46%和2.25%。在情景1中,森林和混合多年生地区的增加有助于减缓地表径流,从而增加了地下水补给,从而增加了水渗入土壤的机会。然而,增加多年生面积或将荒地转变为混合多年生区(情景1)会导致地下水补给增加,这与模拟未来10年土地利用情景(情景2)的结果相似。因此,为提高地下水管理和抗旱效率,相关机构应采取适当的土地利用规划,鼓励在荒地种植多年生植物或支持混合耕作。恢复退化林区,同时改善用水管理。
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引用次数: 0
Application of Local Species for Sustainable Phytoremediation 本地物种在植物可持续修复中的应用
Q3 Environmental Science Pub Date : 2023-09-01 DOI: 10.32526/ennrj/21/20230125
Naiyanan Ariyakanon
Phytoremediation is green technology based on the application of plants to remediate contaminated media. This paper reviews five species of local plants used for phytoremediation in Thailand: Pteris vittata L., Pityrogramma calomelanos L., Chrysopogon zizanioides L., Eichhornia crassipes (Mart.) Solms, and Pistia stratiotes L. For each plant, its pollutant removal efficiency and mechanism is reviewed. The main mechanisms of phytoremediation, such as phytoextraction, rhizofiltration, phytostabilization, phytodegradation, rhizodegradation, and phyto-volatilization, are concisely described. Screening local plants for phytoremediation is a cost-effective and easy to manage approach to derive suitable plants that are resistant to harmful environmental conditions. To be suitable, plants should have a fast growth rate, produce a large biomass yield, have a high tolerance to the toxic effects of the pollutants, and have a good capacity for pollutant uptake. Moreover, applying the proper species for each contaminant enhances the removal efficiency and supports sustainable phytoremediation.
植物修复是一种以植物修复污染介质为基础的绿色技术。本文综述了泰国五种用于植物修复的本地植物:Pteris vittata L., Pityrogramma calomelanos L., Chrysopogon zizanioides L., Eichhornia crassipes (Mart.)。对不同植物的污染物去除效率和机理进行了综述。简要介绍了植物修复的主要机制,如植物提取、根际过滤、植物稳定、植物降解、根际降解和植物挥发。筛选当地植物进行植物修复是一种成本效益高且易于管理的方法,可以获得对有害环境条件具有抗性的合适植物。适合的条件是植物生长速度快,生物量产量大,对污染物的毒性作用具有较高的耐受性,并具有良好的污染物吸收能力。此外,对每种污染物采用适当的物种可以提高去除效率,并支持可持续的植物修复。
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引用次数: 0
Assessing Social Vulnerability to Climate Change in a Fishery-Dependent Village in South Central Vietnam 评估越南中南部一个依赖渔业的村庄对气候变化的社会脆弱性
Q3 Environmental Science Pub Date : 2023-08-23 DOI: 10.32526/ennrj/21/20230027
O. S. Olowe, Harliqueen S. Jacinto, J. S. Limbago, E. Folorunso, I. Sarfo, Christopher L. Brown
Fishery-dependent communities are highly susceptible to the impacts of climate change due to their proximity to vulnerable coastal areas and reliance on ecosystem services for their livelihoods. The study assessed the effects of climate change on the socioeconomic livelihoods and adaptive capacity of Xuan Tu, a community located in South Central Vietnam. The assessment employed the social vulnerability index (SVI) and adaptive capacity index (ACI). A hybrid data collection approach was utilized to gather information from households, and a composite method was employed to aggregate the data, enabling an assessment of community vulnerability. The findings indicated exposure, sensitivity, and adaptive capacity index values of 0.16, 0.34, and 0.26, respectively. The community exhibited a moderate vulnerability to climate change, with a social vulnerability index of 0.43. Notably, economic sufficiency, access to social groups, and level of education emerged as significant factors in reducing social vulnerability. To adapt to climate change, the community modified their fish feeding practices, fish culture methods, increased technology usage, and diversified their sources of income. However, the study identified a lack of institutional support as a significant obstacle to the community's autonomous adaptation. Based on these results, the study recommends livelihood diversification and the implementation of planned adaptation strategies to enhance preparedness for climate emergencies in South Central Vietnam.
依赖渔业的社区非常容易受到气候变化的影响,因为它们靠近脆弱的沿海地区,并且依赖生态系统服务维持生计。该研究评估了气候变化对越南中南部宣图社区社会经济生计和适应能力的影响。评估采用了社会脆弱性指数(SVI)和适应能力指数(ACI)。采用混合数据收集方法从家庭收集信息,并采用综合方法汇总数据,从而能够评估社区脆弱性。研究结果表明,暴露、敏感性和适应能力指数值分别为0.16、0.34和0.26。该社区对气候变化表现出中度脆弱性,社会脆弱性指数为0.43。值得注意的是,经济充足、接触社会群体的机会和教育水平成为减少社会脆弱性的重要因素。为了适应气候变化,社区改变了鱼类饲养方式、鱼类养殖方法,增加了技术使用,并使收入来源多样化。然而,该研究发现,缺乏机构支持是社区自主适应的一个重大障碍。基于这些结果,该研究建议在越南中南部实现生计多样化和实施有计划的适应战略,以加强对气候紧急情况的准备。
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引用次数: 0
Arsenic Levels in Soil and Rice and Health Risk Assessment via Rice Consumption in Industrial Areas of East Java, Indonesia 印度尼西亚东爪哇工业区土壤和水稻中的砷含量及通过稻米消费进行的健康风险评估
Q3 Environmental Science Pub Date : 2023-08-01 DOI: 10.32526/ennrj/21/20230049
N. Laela, Satriani Aga Pasma, M. Santoso
Industrial use of arsenic can potentially cause environmental problems in water, soil, and air. Arsenic is one of heavy metals that is highly toxic and carcinogenic. Arsenic contamination in the environment is harmful to human health because it can enter the body through the food chain. This study determined the concentration of arsenic in soil and rice and its impact on human health risks. Sampling was carried out in several East Java industrial cities or districts, for instance, Gresik, Mojokerto, Sidoarjo, Nganjuk, Ponorogo, and Surabaya. The measurement of arsenic in soil was done using Energy Dispersive X-Ray fluorescence (EDXRF), while the measurement of arsenic in rice was done by Total X-Ray Fluorescence (TXRF). The results showed that arsenic concentration in several areas of East Java has varying levels. The concentration of arsenic in soil was highest in Gresik (13,786 mg/kg). The highest arsenic concentration in rice was found in Mojokerto (0.154 mg/kg). The results of risk assessment in this study showed that the Hazard Quotient (HQ) value was >1 and the Excess Cancer Risk (ECR) was >10-4 in all areas at the age of children <2 years. Health risk assessment of adults showed HQ>1 and ECR>10-4 in several areas of East Java. This indicates that consumption of rice contaminated with arsenic has the potential to pose non-carcinogenic and carcinogenic health risks.
工业使用砷可能会对水、土壤和空气造成潜在的环境问题。砷是一种具有剧毒和致癌性的重金属。环境中的砷污染对人体健康有害,因为它可以通过食物链进入人体。本研究确定了土壤和水稻中砷的浓度及其对人类健康风险的影响。在东爪哇的几个工业城市或地区进行了抽样,例如Gresik、Mojokerto、Sidoarjo、Nganjuk、Ponorogo和泗水。土壤中砷的测定采用能量色散x射线荧光法(EDXRF),水稻中砷的测定采用全x射线荧光法(TXRF)。结果表明,东爪哇几个地区的砷浓度水平不同。土壤中砷的浓度最高的是Gresik (13786 mg/kg)。水稻中砷浓度最高的是Mojokerto (0.154 mg/kg)。本研究的风险评估结果显示,东爪哇所有地区1岁儿童的危害商(HQ)值为bb101 -4,过量致癌风险(ECR)值为bb101 -4,部分地区的ECR值为bb101 -4。这表明,食用受砷污染的大米有可能造成非致癌和致癌的健康风险。
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引用次数: 0
Effect of Oxide Presence in Activated Carbon on Arsenic Removal 活性炭中氧化物的存在对除砷的影响
Q3 Environmental Science Pub Date : 2023-07-01 DOI: 10.32526/ennrj/21/20230066
Thearak Vong, Korea Phat, Seunghee Lee, Shinhoo Kang, Jinhwan Oh
This study investigated the effect of oxides on the removal of As when present in simple mixtures with granular activated carbon (GAC) particles. The performance of these mixtures was compared with other reported GAC-based adsorbents. A standard curve for ultraviolet adsorption vs. As concentration was obtained using the silver diethyldithiocarbamate (SDDC) method to evaluate various samples. A preliminary study was carried out to find the optimal conditions for experiments. For 50 mL samples with 2.35 ppm As, the optimal values of pH, adsorption time, and amount of adsorbent were pH 7, 30 min, and 50 mg, respectively. The ratio between the amount of adsorbent and well water in this study showed a superior As adsorption capacity (1 g/L, 2.1 mg/g) compared to similar adsorbents reported previously (12.5 g/L, 1.0-1.4 mg/g). Among the adsorbents, KOH-treated AC-Mn3O4 exhibited the best performance in As removal with an efficiency of ~95%. The oxide particles had a synergistic effect with GAC on As removal. This was primarily due to the change in the potential of partially agglomerated nano Mn3O4 particles on the ACK surface. The influence of the surface area of the adsorbents was not pronounced. All results were explained in terms of microstructure, specific surface area, and zeta potential. This finding could be extended to other activated carbons (AC) obtained from different sources.
本研究研究了氧化物在与颗粒活性炭(GAC)颗粒的简单混合物中对As去除的影响。将这些混合物的性能与其他报道的基于GAC的吸附剂进行了比较。使用二乙基二硫代氨基甲酸银(SDDC)方法获得紫外线吸附对As浓度的标准曲线,以评估各种样品。进行了初步研究,以找到实验的最佳条件。对于含有2.35ppm As的50mL样品,pH、吸附时间和吸附剂量的最佳值分别为pH 7、30分钟和50mg。与先前报道的类似吸附剂(12.5g/L,1.0-1.4mg/g)相比,本研究中吸附剂和井水的量之比显示出优异的As吸附能力(1g/L,2.1mg/g)。在吸附剂中,KOH处理的AC-Mn3O4对As的去除效果最好,去除率为~95%。氧化物颗粒与GAC对As的去除具有协同作用。这主要是由于ACK表面上部分团聚的纳米Mn3O4颗粒的电势的变化。吸附剂的表面积的影响并不明显。所有结果都从微观结构、比表面积和ζ电位方面进行了解释。这一发现可以推广到从不同来源获得的其他活性炭(AC)。
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引用次数: 0
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