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Role of Biotechnology and Genetic Engineering in Bioremediation of Cadmium Pollution 生物技术和基因工程在镉污染生物修复中的作用
Q4 Environmental Science Pub Date : 2024-06-01 DOI: 10.46488/nept.2024.v23i02.004
A. Kumar, G. Mukherjee, S. Gupta
Cadmium (Cd) is ubiquitous and an unessential trace element existing in the environment. Anthropogenic activities and applications of synthetic phosphate fertilizers greatly enhance the concentration of Cadmium in the environment, which proves to be carcinogenic. The long-term effects of heavy metals contamination on plants and animals have recently become a major public health concern. Thanks to the application of science and technology, new environmental initiatives can have a lower environmental impact significantly. The role of microbes is very well known and must be considered as potential pollutant removers. Microbial flora can remove heavy metals and oil from contaminated soil and water. In comparison to conventional techniques, bioremediation itself proved to be a more potent technique because the established mechanisms render it ineffective. Biotechnological advancements are inherently harmful to the environment because they have the potential to reduce metal pollution. Pollutants in the environment can be effectively removed using bioremediation. Both native and introduced species can thrive in a microorganism-friendly environment.
镉(Cd)在环境中无处不在,是一种非必需的微量元素。人类活动和合成磷肥的施用大大提高了环境中镉的浓度,而镉被证明是致癌物质。近来,重金属污染对动植物的长期影响已成为公众健康关注的一个主要问题。由于科学技术的应用,新的环保措施可以大大降低对环境的影响。微生物的作用众所周知,必须将其视为潜在的污染物清除剂。微生物菌群可以清除受污染土壤和水中的重金属和石油。与传统技术相比,生物修复本身被证明是一种更有效的技术,因为既有的机制使其无效。生物技术的进步本身就对环境有害,因为它们有可能减少金属污染。利用生物修复技术可以有效清除环境中的污染物。本地物种和引进物种都可以在微生物友好的环境中茁壮成长。
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引用次数: 0
A Comprehensive Survey on Machine Learning and Deep Learning Techniques for Crop Disease Prediction in Smart Agriculture 智能农业中用于作物病害预测的机器学习和深度学习技术综合调查
Q4 Environmental Science Pub Date : 2024-06-01 DOI: 10.46488/nept.2024.v23i02.003
Chatla Subbarayudu, Mohan Kubendiran
Diseases caused by bacteria, fungi, and viruses are a problem for many crops. Farmers have challenges when trying to evaluate their crops daily by manual inspection across all forms of agriculture. Also, it is difficult to assess the crops since they are affected by various environmental factors and predators. These challenges can be addressed by employing crop disease detection approaches using artificial intelligence-based machine learning and deep learning techniques. This paper provides a comprehensive survey of various techniques utilized for crop disease prediction based on machine learning and deep learning approaches. This literature review summarises the contributions of a wide range of research works to the field of crop disease prediction, highlighting their commonalities and differences, parameters, and performance indicators. Further, to evaluate, a case study has been presented on how the paradigm shift will lead us to the design of an efficient learning model for crop disease prediction. It also identifies the gaps in knowledge that are supposed to be addressed to forge a path forward in research. From the survey conducted, it is apparent that the deep learning technique shows high efficiency over the machine learning approaches, thereby preventing crop loss.
由细菌、真菌和病毒引起的疾病是许多农作物面临的问题。在各种形式的农业中,农民每天都要通过人工检查来评估农作物,这给他们带来了挑战。此外,由于农作物受到各种环境因素和天敌的影响,因此很难对其进行评估。采用基于人工智能的机器学习和深度学习技术的作物疾病检测方法可以解决这些难题。本文对基于机器学习和深度学习方法的作物病害预测所使用的各种技术进行了全面调查。这篇文献综述总结了大量研究工作对作物病害预测领域的贡献,强调了它们的共性和差异、参数和性能指标。此外,为了进行评估,还介绍了一个案例研究,说明范式转变将如何引导我们设计出用于作物病害预测的高效学习模型。它还指出了为开辟研究道路而需要解决的知识空白。从调查中可以看出,深度学习技术比机器学习方法显示出更高的效率,从而避免了作物损失。
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引用次数: 0
Petrography and Diagenesis of Thin-Bed Reservoirs from the Eastern Folded Belt of Bangladesh 孟加拉国东部褶皱带薄层储层的岩相学和成因学
Q4 Environmental Science Pub Date : 2024-06-01 DOI: 10.46488/nept.2024.v23i02.002
Md. Mesbah Uddin Bhuiyan, Md. Anwar Hossain Bhuiyan, Md. Saiful Islam, Umma Sabira
The main purpose of the study is to identify the thin-bed reservoirs of the Eastern Folded Belt (Sylhet and Bandarban) and characterize them with diligence. A detailed qualitative and quantitative analysis has been carried out. It is based on thin-section petrographic analyses of sandstone samples. These samples are from the reservoir horizons of the Sylhet region and Bandarban region fields. The purpose of this analysis is to characterize the textural and mineralogical properties. Additionally, it aims to evaluate the post-depositional diagenetic changes. The results obtained from the field and laboratory analysis are studied extensively to characterize the thin-bed reservoirs. Samples from the Sylhet area are medium-coarse-grained, fairly sorted, tight packing, submature-mature sublithic characteristics. Contrarily, samples from the Bandarban region are mature-submature sublithic arenites, which are fine-medium-grained, moderately well-sorted, and moderately loosely packed. Despite the similarity of the detrital elements (quartz, feldspar, lithic grains, mica, etc.) in the two areas, silica cementation is more frequent in Sylhet region samples than early carbonate cementation in Bandarban region samples. Comparatively speaking, the sediments in the Sylhet region are more compact than those in the Bandarban region. The most important outcome of this study is that the thin bed of the unconventional reservoir and the conventional reservoir are in close proximity. The Thin-bed reservoir units of the Eastern Folded Belt are found to be medium to fine-grained and well sorted, with frequent alteration of sand-shale with the prevalence of parallel bedded sandstone. Average porosity is 4% to 12%, and pore spaces are interconnected. So, the permeability rate is good enough to flow the hydrocarbon through these pore spaces. Most importantly, the thin bed and tight reservoir (average porosity 4% to 12%, but pore spaces are not interconnected) are not more prominent than 1 meter or 2 meters. Subsequently, though the vertical thickness is not so high, they keep up a momentous tirelessness of horizontal progression. On the contrary, at whatever point it comes to a conventional reservoir, the vertical thickness is higher than that of the unconventional reservoir. But their lateral persistence is not as long as unconventional ones.
研究的主要目的是确定东部褶皱带(锡尔赫特和班达尔班)的薄层储层,并对其特征进行深入分析。研究人员进行了详细的定性和定量分析。该分析以砂岩样本的薄片岩相分析为基础。这些样本来自锡尔赫特地区和班达尔班地区油田的储层地层。分析的目的是确定纹理和矿物学特性。此外,它还旨在评估沉积后的成岩变化。我们对实地和实验室分析得出的结果进行了广泛研究,以确定薄层储层的特征。锡尔赫特地区的样本具有中粗粒、分选较好、紧密堆积、亚成熟亚岩性等特征。与此相反,班达尔班地区的样本是成熟-亚成熟亚岩,具有细-中粒、中度良好分选和中度松散堆积的特征。尽管两个地区的碎屑元素(石英、长石、石粒、云母等)相似,但锡尔赫特地区样本中的二氧化硅胶结比班达尔班地区样本中的早期碳酸盐胶结更为常见。相对而言,锡尔赫特地区的沉积物比班达尔班地区的沉积物更为致密。这项研究最重要的结果是,非常规储层的薄层与常规储层的薄层非常接近。研究发现,东部褶皱带的薄层储层单元为中至细粒,分选良好,砂页岩蚀变频繁,普遍为平行层状砂岩。平均孔隙度为 4% 至 12%,孔隙相互连通。因此,渗透率足以使碳氢化合物流经这些孔隙。最重要的是,薄层和致密储层(平均孔隙度为 4% 至 12%,但孔隙不相互连接)不超过 1 米或 2 米。其次,虽然垂直厚度不高,但它们保持着水平递进的瞬时不倦。相反,无论到什么时候,常规储层的垂直厚度都要高于非常规储层。但它们的横向持续时间不如非常规储层长。
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引用次数: 0
Transforming Energy Access: The Role of Micro Solar Dome in Providing Clean Energy Lighting in Rural India 改变能源获取方式:微型太阳能穹顶在印度农村地区提供清洁能源照明中的作用
Q4 Environmental Science Pub Date : 2024-06-01 DOI: 10.46488/nept.2024.v23i02.028
R. Karthik, Ramya Ranjan Behera, Uday Shankar, Priyadarshi Patnaik, Rudra Prakash Pradhan
Access to affordable and reliable energy sources can substantially enhance the lives of marginalized communities in rural areas. Unfortunately, numerous households in these communities rely upon unclean sources of energy such as kerosene to light the house even during daylight. To address this issue, solar off-grid technology - Micro Solar Dome (MSD) was implemented in various states across India, specifically benefiting the scheduled caste and scheduled tribe communities. The study, across the eight selected states, highlights the advantages of adopting off-grid technologies and their roles in promoting awareness of renewable energy solutions. The survey used purposive sampling to collect community members’ perceptions of the product’s benefits and their awareness of renewable technologies. The results indicated that the utilization of the product not only enhanced illumination levels within households but also contributed to improved safety, increased study hours for children, and facilitated economic activities during the evening hours. Furthermore, the study revealed that education plays a crucial role in adopting solar energy. However, interventions such as awareness programs and hands-on experiences with the products can also greatly enhance awareness and promote adoption in rural areas. Overall, the study provided compelling evidence of the significant and positive impact that small-scale initiatives like the MSD can have on the lives of marginalized communities. It also emphasized the potential of such solutions to empower these communities and improve their overall well-being.
获得负担得起的可靠能源可以大大改善农村地区边缘化社区的生活。遗憾的是,这些社区的许多家庭即使在白天也要依靠煤油等不洁能源来照明。为解决这一问题,在印度各邦实施了太阳能离网技术--微型太阳能穹顶(MSD),特别使在册种姓和在册部落社区受益。在选定的八个邦开展的这项研究强调了采用离网技术的优势及其在提高对可再生能源解决方案的认识方面的作用。调查采用目的性抽样,收集社区成员对产品益处的看法以及对可再生技术的认识。结果表明,该产品的使用不仅提高了家庭的照明水平,还有助于改善安全状况,增加儿童的学习时间,促进晚间的经济活动。此外,研究还表明,教育在采用太阳能方面起着至关重要的作用。然而,提高认识计划和亲身体验产品等干预措施也能大大提高农村地区的认识并促进其采用。总之,这项研究提供了令人信服的证据,证明像 MSD 这样的小规模举措可以对边缘化社区的生活产生重大而积极的影响。研究还强调了此类解决方案在增强这些社区的能力和改善其整体福祉方面的潜力。
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引用次数: 0
Study of Chlorella vulgaris from Different Growth Phases as Biosensor for Detection of Titanium and Silver Nanoparticles in Water 不同生长阶段的小球藻作为生物传感器检测水中钛和银纳米颗粒的研究
Q4 Environmental Science Pub Date : 2024-06-01 DOI: 10.46488/nept.2024.v23i02.030
Arularasi Thenarasu, M. Chai, Y. Tan, Ling Shing Wong, R. Rajamani, S. Djearamane
The increased use of metallic nanoparticles has led to concern for environmental contamination and disruption in water quality. Therefore, effective screening of metallic nanoparticles is important for detecting metallic nanoparticles in aquatic environments. Biosensors offer several advantages, including high sensitivity to pollutants, short response time, energy efficiency, and low waste generation. In this study, a whole-cell biosensor was developed using microalga Chlorella vulgaris as a recognition element, and its fluorescence response was used as a measuring parameter for detecting the presence of titanium dioxide (TiO2) and silver (Ag) nanoparticles in water. The responses of C. vulgaris at the lag, exponential, and stationary phases to different concentrations of TiO2 and Ag nanoparticles were studied. The results showed that in TiO2 and Ag nanoparticles exposures, the highest fluorescence change (50-150%) was observed at the lag phase, whereas the lowest fluorescence change (40-75%) was observed at the stationary phase. A significant fluorescence change was observed in 15 min. The immobilized C. vulgaris under TiO2 and Ag nanoparticles exposures showed 30-180% higher fluorescence change than the negative control, indicating the potential of C. vulgaris as a biosensor for rapid detection of TiO2 and Ag nanoparticles in water. The mathematical modeling of the responses of C. vulgaris to TiO2 and Ag nanoparticles at 15 min of exposure with high R2 indicated that this biosensor is sensitive to the concentration tested (0.010–10.000 mg.L-1). Taken together, these results reveal that, for the first time, it is possible to detect TiO2 and Ag nanoparticles in water within a very short time using a microalgae-based biosensor. Moreover, no genetic engineering requirement makes this biosensor simple, economical, and free from the restriction on genetically modified microorganisms for environmental applications.
金属纳米粒子的使用越来越多,导致了人们对环境污染和水质破坏的担忧。因此,有效筛选金属纳米粒子对于检测水生环境中的金属纳米粒子非常重要。生物传感器具有多种优势,包括对污染物的灵敏度高、响应时间短、能效高和废物产生量少。本研究以微藻类绿球藻(Chlorella vulgaris)为识别元件,开发了一种全细胞生物传感器,并将其荧光响应作为检测水中是否存在二氧化钛(TiO2)和银(Ag)纳米粒子的测量参数。研究了褐藻在滞后期、指数期和静止期对不同浓度的二氧化钛和银纳米粒子的反应。结果表明,在接触二氧化钛和银纳米粒子时,滞后期的荧光变化最大(50-150%),而静止期的荧光变化最小(40-75%)。在 15 分钟内观察到明显的荧光变化。与阴性对照相比,固定化的 C. vulgaris 在 TiO2 和 Ag 纳米粒子暴露下的荧光变化高出 30-180%,这表明 C. vulgaris 具有作为生物传感器快速检测水中 TiO2 和 Ag 纳米粒子的潜力。在 15 分钟的暴露时间内,C. vulgaris 对 TiO2 和 Ag 纳米粒子的反应的数学模型具有很高的 R2,表明该生物传感器对测试浓度(0.010-10.000 mg.L-1)很敏感。综上所述,这些结果首次揭示了利用基于微藻的生物传感器在极短的时间内检测水中 TiO2 和 Ag 纳米粒子的可能性。此外,这种生物传感器不需要基因工程,因此简单、经济,而且不受环境应用中转基因微生物的限制。
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引用次数: 0
Study on the Technology of Ultrasonic, Chemical and Mechanical Combined Treatment of Oilfield Aging Oil 油田老化油超声波、化学和机械联合处理技术研究
Q4 Environmental Science Pub Date : 2024-06-01 DOI: 10.46488/nept.2024.v23i02.026
Le Zhang, Jin Hu, Longlong Yan, Si Chen, Yabin Jin, Huan Zhang, Zhe Shen, Tao Yu
Aging oil is a common pollutant in petrochemical enterprises due to its severe emulsification and flocculation, poor settling performance, low oil recovery rate, and high difficulty in treatment. This article adopts the method of mechanical, ultrasonic, and chemical coupling demulsification to treat aging oil, with the water content and oil recovery rate of the treated aging oil as the inspection indicators. The experiment shows that when the oil-water ratio is 1:4, the heating temperature is 50℃, the stirring speed is 180rpm, the ultrasonic frequency is 25kHz, the power is 40W, the ultrasonic time is 25min, and the pH is adjusted to 3-4. The additional amount of FeSO4 is 160mg/L, the additional amount of H2O2 is 0.11%, and the heating stirring reaction is 40min. When the dosage of cationic PAM with an ion degree of 50 is 35mg/L, the centrifugation speed is 3200rpm. The centrifugation time is 20 min, the crude oil recovery rate after aging oil treatment can reach over 94.6%, and the water content of the treated crude oil is less than 0.5%, meeting the standards for crude oil gathering and transportation in China. The oil content in the water generated after aging oil treatment is about 150 mg.L-1, the suspended solids content is 200 mg.L-1, the oil content in the residue is 6%, and the water content is 53%. By analyzing the appearance of aging oil before and after treatment, it was found that when using this process to treat aging oil, the original spatial cross-linking network structure of the aging oil was broken, allowing the water droplets wrapped in the oil to be released, thereby significantly reducing the water content in the recovered oil and improving the oil recovery rate.
老化油乳化絮凝严重,沉降性能差,油品回收率低,处理难度大,是石化企业常见的污染物。本文采用机械、超声、化学耦合破乳的方法处理老化油,以处理后老化油的含水率和油回收率为检测指标。实验表明,当油水比为 1:4,加热温度为 50℃,搅拌速度为 180rpm,超声频率为 25kHz,功率为 40W,超声时间为 25min,pH 调整为 3-4。FeSO4 的添加量为 160mg/L,H2O2 的添加量为 0.11%,加热搅拌反应时间为 40min。当离子度为 50 的阳离子 PAM 用量为 35mg/L 时,离心转速为 3200rpm。离心时间为 20min,老化油处理后的原油采收率可达 94.6%以上,处理后的原油含水率小于 0.5%,达到我国原油集输标准。老化油处理后产生的水中含油量约为 150 mg.L-1,悬浮物含量为 200 mg.L-1,残渣含油量为 6%,含水率为 53%。通过分析老化油处理前后的外观,发现使用该工艺处理老化油时,打破了老化油原有的空间交联网络结构,使包裹在油中的水滴得以释放,从而显著降低了回收油中的含水率,提高了采油率。
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引用次数: 0
Elucidating Mycotoxin-Producing Aspergillus Species in River Water: An Advanced Molecular Diagnostic Study for the Assessment of Ecological Health and Contamination Risk 阐明河水中产生霉菌毒素的曲霉菌种:评估生态健康和污染风险的先进分子诊断研究
Q4 Environmental Science Pub Date : 2024-06-01 DOI: 10.46488/nept.2024.v23i02.024
R. Ravikiran, G. Raghu, B. Praveen
The primary goal of this research is to isolate mycotoxin-producing fungus from the Nagavali River. Examining isolated fungi involved analyzing their mycelium growth on culture media and detailed microscopic inspection. We employed PCR analysis utilizing universal primers ITS1 and ITS4 to accurately identify the species. Furthermore, we sequenced the amplified ITS region and rigorously analyzed the sequences using NCBI-BLASTn and the ITS2 database. The analysis found a high 96.38% genetic similarity to the Aspergillus flavus strain, resulting in a 600-base pair fragment size. The sequence was given the accession number OR536222 in the NCBI GenBank database. Phylogenetic analysis was performed to ascertain the particular strain of A. flavus and its source. Remarkably, this analysis led to the identification of a single new strain gene, which represents a novel discovery in the field of fungal research. These results underscore the vital significance of molecular techniques in promptly and precisely identifying organisms. This research enhances our understanding of mycotoxin contamination in water, providing valuable insights to improve detection and prevention strategies. It accentuates the overarching importance of conserving our water resources and upholding ecological equilibrium, ultimately safeguarding the well-being of both humanity and the environment.
这项研究的主要目标是从纳加瓦利河中分离出产生霉菌毒素的真菌。检查分离出的真菌需要分析它们在培养基上的菌丝生长情况,并进行详细的显微镜检查。我们利用通用引物 ITS1 和 ITS4 进行 PCR 分析,以准确鉴定菌种。此外,我们还对扩增的 ITS 区域进行了测序,并利用 NCBI-BLASTn 和 ITS2 数据库对序列进行了严格分析。分析发现,该菌株与黄曲霉菌株的基因相似度高达 96.38%,形成的片段大小为 600 碱基对。该序列在 NCBI GenBank 数据库中的登录号为 OR536222。为了确定黄曲霉的具体菌株及其来源,我们进行了系统发育分析。值得注意的是,这一分析确定了一个新的菌株基因,这是真菌研究领域的一个新发现。这些结果凸显了分子技术在及时、准确地鉴定生物体方面的重要意义。这项研究加深了我们对水中霉菌毒素污染的了解,为改进检测和预防策略提供了宝贵的见解。它强调了保护水资源和维护生态平衡的极端重要性,最终保障了人类和环境的福祉。
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引用次数: 0
Effect of Humic Acid Fertilizer on Mercury Release from Greenhouse Soils 腐殖酸肥料对温室土壤中汞释放的影响
Q4 Environmental Science Pub Date : 2024-03-01 DOI: 10.46488/nept.2024.v23i01.040
Z. Zhao, L. Y. Long, H. Gu, R. G. Sun
The elemental mercury (Hg0) release characteristics from the Hg-contaminated soil applied with Humic acid fertilizer (HAF) in the greenhouse were identified. The adsorption features of mercuric ion (Hg2+) on HAF under different reaction times and pH were investigated to elucidate the influencing mechanism of HAF on soil Hg0 release. Besides, the microstructure of HAF loading with Hg2+ was characterized by using Fourier transform infrared spectroscopy (FTIR) and scanning electron micrograph-energy dispersive spectrometry–EDS). The results showed that with the increasing HAF dosage, soil oxidation-reduction potential (Eh), and organic matter (SOM) content, as well as the decreasing soil pH, the soil Hg0 release fluxes showed a decreasing tendency. The soil pH, Eh, SOM, and total Hg content are the key factors that can affect the soil Hg0 release fluxes. The interior air temperature, light intensity, soil moisture, and soil temperature have little impact on soil Hg0 release fluxes when the greenhouse soil is applied with HAF. The HAF can immobilize Hg2+ and reduce its activity by surface precipitation and specific adsorption, then affecting the soil Hg0 release fluxes. The results of this study provide a basis for the application of HAF to reduce soil Hg0 release fluxes in the greenhouse of Hg-contaminated areas.
确定了温室中施用腐植酸肥料(HAF)的汞污染土壤的元素汞(Hg0)释放特征。研究了不同反应时间和 pH 值下汞离子(Hg2+)在 HAF 上的吸附特征,以阐明 HAF 对土壤 Hg0 释放的影响机制。此外,还利用傅立叶变换红外光谱(FTIR)和扫描电子显微镜-能量色散光谱(EDS)对HAF负载Hg2+的微观结构进行了表征。结果表明,随着 HAF 用量、土壤氧化还原电位(Eh)和有机质(SOM)含量的增加以及土壤 pH 值的降低,土壤 Hg0 释放通量呈下降趋势。土壤 pH 值、Eh 值、有机质和总汞含量是影响土壤 Hg0 释放通量的关键因素。温室土壤施用 HAF 后,室内空气温度、光照强度、土壤水分和土壤温度对土壤 Hg0 释放通量的影响很小。HAF 可以固定 Hg2+,并通过表面沉淀和特定吸附作用降低其活性,进而影响土壤 Hg0 释放通量。该研究结果为应用 HAF 降低汞污染地区温室土壤的 Hg0 释放通量提供了依据。
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引用次数: 0
A Short-Term Autoregressive Model for the Prediction of Daily Average NO2 Concentration in Nagercoil, Tamil Nadu, India 用于预测印度泰米尔纳德邦纳格尔科尔日平均二氧化氮浓度的短期自回归模型
Q4 Environmental Science Pub Date : 2024-03-01 DOI: 10.46488/nept.2024.v23i01.049
P. Muthukrishnan, R. K. Sharma
Nitrogen dioxide (NO2) is one of the pollutants that can cause potential damage to the ecosystem. NO2 emitted from vehicles forms the primary precursor for ground-level ozone. In this study, an analysis of the daily average of NO2 concentration with meteorology measured for two years 2021 and 2022 is being carried out. It is evident from the analysis that NO2 concentration followed an apparent diurnal pattern with a maximum value in the morning hours and a minimum during the afternoon hours. Summer months recorded the highest, and North East Monsoon (NEM) recorded the lowest values of NO2. A statistically significant positive correlation was found between NO2 and Temperature. An autoregressive model was formulated to forecast the daily average values of NO2 concentration. Unit root test was performed to check the stationarity of the data points, which is important in determining trends and seasonal changes. From the model procedure, the order that best fits the data was identified as AR (4), in which the process has the current value based on the previous three values. The Akaike Information Criterion (AIC) and Schwartz Criterion (SC), which are estimators of prediction error for AR (4), are low. The Jarque confirmed the normal distribution-Bera test, which again approves the satisfactoriness of the model.
二氧化氮(NO2)是可能对生态系统造成潜在破坏的污染物之一。车辆排放的二氧化氮是地面臭氧的主要前体物。本研究分析了 2021 年和 2022 年两年的二氧化氮日平均浓度和气象测量值。分析结果表明,二氧化氮浓度呈明显的昼夜变化规律,上午最高,下午最低。夏季的二氧化氮浓度最高,而东北季风季节的二氧化氮浓度最低。二氧化氮与气温之间存在统计学意义上的正相关。为预测二氧化氮的日平均浓度值,建立了一个自回归模型。进行了单位根检验,以检查数据点的静止性,这对确定趋势和季节变化非常重要。根据模型程序,确定了最适合数据的阶次为 AR (4),在此过程中,当前值基于前三个值。Akaike 信息准则(AIC)和 Schwartz 准则(SC)是 AR(4)预测误差的估计值,均较低。Jarque 检验证实了正态分布-Bera 检验,这再次证明了模型的满意度。
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引用次数: 0
An Overview of the Need for Circular Economy on Electric Vehicle Batteries 电动汽车电池的循环经济需求概述
Q4 Environmental Science Pub Date : 2024-03-01 DOI: 10.46488/nept.2024.v23i01.014
S. Padmanabhan, C. Joel, S. Mahalingam, J. R. Deepak, T. V. Kumar, Deborah Raj
Batteries are a widely utilized and simple method for powering electronic devices, particularly given the prevalence of individuals traveling to all gadgets. The escalating adoption of electric vehicles and portable electronic devices has led to a surge in the demand for lithium-ion batteries. Consequently, this has given rise to supply uncertainties in acquiring essential minerals such as lithium and cobalt, along with concerns about the proper disposal of dead batteries. The existing methods for battery recycling exhibit variations based on the individual chemistries of the batteries, hence influencing both cost factors and greenhouse gas emissions. Simultaneously, there exists a possibility for repurposing depleted batteries for low-tier energy storage applications. The absence of legislation pertaining to the secure storage and handling of waste streams contributes to the accumulation of refuse in exposed environments and the release of hazardous substances from landfills. In addition, contemporary battery manufacturing methods necessitate the utilization of innovative substances, such as ionic liquids for electrolytes and nanostructures for cathodes, to enhance the energy characteristics and longevity of batteries. The presence of uncertainties regarding the accurate assessment of the environmental consequences associated with novel battery chemicals has the potential to impede efforts aimed at recycling and containment. The objective of this analysis is to consolidate the existing knowledge regarding battery pollutants, both those that are recognized and those that remain uncertain, and to assess their potential environmental impacts. Additionally, this research aims to examine the current strategies and methods employed for the recycling of batteries in the circular economy.
电池是为电子设备供电的一种广泛使用的简单方法,尤其是在人们普遍使用各种小工具的情况下。电动汽车和便携式电子设备的普及导致对锂离子电池的需求激增。因此,在获取锂和钴等基本矿物质方面出现了供应不确定性,同时人们还担心如何妥善处理废旧电池。现有的电池回收方法因电池的化学性质不同而各异,从而影响了成本因素和温室气体排放。同时,也存在着将耗尽的电池重新用于低级能源存储应用的可能性。由于缺乏安全储存和处理废物流的相关法律,导致垃圾在暴露的环境中堆积,并从垃圾填埋场释放有害物质。此外,现代电池制造方法需要使用创新物质,如电解质离子液体和阴极纳米结构,以提高电池的能量特性和寿命。在准确评估新型电池化学物质对环境造成的影响方面存在不确定性,这可能会阻碍回收和遏制工作的开展。本分析报告的目的是整合现有的电池污染物知识,包括已被确认的和仍不确定的电池污染物,并评估其对环境的潜在影响。此外,这项研究还旨在考察当前在循环经济中回收电池所采用的策略和方法。
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Nature Environment and Pollution Technology
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