The rapid growth of infrastructure leads to industrial waste accumulation and natural resource depletion, raising the need for sustainable solutions. When zinc is refined, a significant amount of non-biodegradable material called jarosite (JS) is generated, requiring proper environmentally friendly disposal techniques. The present study investigates ternary blended of Portland cement with partial replacement of 20% ground granulated blast furnace slag and jarosite at (5 – 25%) as a binder material to develop a sustainable concrete mix. To comprehend the effectiveness of jarosite-GGBS blends in concrete experimental research is performed to investigate the mechanical properties of ternary blended concrete. Additionally, SEM and XRD analysis were used to observe the microstructure and chemical phases of the developed concrete. From the experimental investigations, it is perceived that the incorporation of jarosite-GGBS blended concrete provided an increase in strength properties for all the mix proportions. The microstructure study shows a decrease in voids and the formation of sufficient CSH gel, justifying improved mechanical properties. The maximum increase in compressive strength of 50.93% is observed for the 10% replacement of the level of jarosite in the concrete mix. The overall research findings provide insight into the functionality of GGBS and jarosite blended concrete and the potential of jarosite as a sustainable, reusable industrial waste material.
{"title":"Effect of zinc industrial waste on the mechanical and microstructural properties of the ternary blended concrete","authors":"","doi":"10.30955/gnj.005555","DOIUrl":"https://doi.org/10.30955/gnj.005555","url":null,"abstract":"The rapid growth of infrastructure leads to industrial waste accumulation and natural resource depletion, raising the need for sustainable solutions. When zinc is refined, a significant amount of non-biodegradable material called jarosite (JS) is generated, requiring proper environmentally friendly disposal techniques. The present study investigates ternary blended of Portland cement with partial replacement of 20% ground granulated blast furnace slag and jarosite at (5 – 25%) as a binder material to develop a sustainable concrete mix. To comprehend the effectiveness of jarosite-GGBS blends in concrete experimental research is performed to investigate the mechanical properties of ternary blended concrete. Additionally, SEM and XRD analysis were used to observe the microstructure and chemical phases of the developed concrete. From the experimental investigations, it is perceived that the incorporation of jarosite-GGBS blended concrete provided an increase in strength properties for all the mix proportions. The microstructure study shows a decrease in voids and the formation of sufficient CSH gel, justifying improved mechanical properties. The maximum increase in compressive strength of 50.93% is observed for the 10% replacement of the level of jarosite in the concrete mix. The overall research findings provide insight into the functionality of GGBS and jarosite blended concrete and the potential of jarosite as a sustainable, reusable industrial waste material. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"63 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139593919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, an attempt was made to characterize ferrochrome slag as cement-bound layers of flexible pavement in view of its leaching behavior. Toxicity Characteristic Leaching Procedure (TCLP) test was conducted to assess the mobility of toxic elements in ferrochrome slag. Ferrochrome slag aggregate was classified as a non-hazardous material that has good physical and mechanical properties. The standards for cement stabilization set forth by the MoRTH can be met by two gradations, ferrochrome slag(F) and quarry dust(Q) in the ratios of 70/30 and 60/40(F/Q) respectively. Cylindrical specimens of cement contents (2%, 4%, and 6% dry weight, respectively) were cast at optimum moisture content and maximum dry density for 7 and 28 days of curing to perform unconfined compressive strength. The cylindrical specimens are subjected to a series of cycles consisting of alternative wetting and drying, and the corresponding weight loss for each cycle is recorded in order to evaluate the effect of subsequent cycles. The strength of cement-treated ferrochrome slag and quarry dust mixtures was measured before and after they were subjected to durability testing. The cement-treated F60Q40 mix showed better performance than the F70Q30 mix and it can be efficiently utilized as a replacement for granular sub-base and base courses of flexible pavement, thereby reducing leaching and environmental pollution.
{"title":"Sustainable use of ferrochrome slag and quarry dust composites as cement-bound layers of flexible pavement","authors":"","doi":"10.30955/gnj.004854","DOIUrl":"https://doi.org/10.30955/gnj.004854","url":null,"abstract":"In this study, an attempt was made to characterize ferrochrome slag as cement-bound layers of flexible pavement in view of its leaching behavior. Toxicity Characteristic Leaching Procedure (TCLP) test was conducted to assess the mobility of toxic elements in ferrochrome slag. Ferrochrome slag aggregate was classified as a non-hazardous material that has good physical and mechanical properties. The standards for cement stabilization set forth by the MoRTH can be met by two gradations, ferrochrome slag(F) and quarry dust(Q) in the ratios of 70/30 and 60/40(F/Q) respectively. Cylindrical specimens of cement contents (2%, 4%, and 6% dry weight, respectively) were cast at optimum moisture content and maximum dry density for 7 and 28 days of curing to perform unconfined compressive strength. The cylindrical specimens are subjected to a series of cycles consisting of alternative wetting and drying, and the corresponding weight loss for each cycle is recorded in order to evaluate the effect of subsequent cycles. The strength of cement-treated ferrochrome slag and quarry dust mixtures was measured before and after they were subjected to durability testing. The cement-treated F60Q40 mix showed better performance than the F70Q30 mix and it can be efficiently utilized as a replacement for granular sub-base and base courses of flexible pavement, thereby reducing leaching and environmental pollution. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"15 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139594304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to explore the air pollution loss measurement of energy consumption pollutant emissions in low-carbon tourism in Jiangsu Province, this paper, based on background analysis, literature review and research design, selects 13 prefecture-level cities in Jiangsu Province as research objects, and investigates the Measurement of Air pollution Losses from Energy Consumption Pollutant Emissions in 13 tourism areas in Jiangsu Province by reconstructing the shadow price model of air pollution loss and using the statistical data from 2013 to 2021 provided by the government. It is found that: the air pollution loss caused by the emission of eight pollutants of low-carbon tourism energy consumption in Jiangsu province ranges from 142.92 million yuan to 253.93 million yuan, and the air pollution loss of low-carbon tourism energy consumption emission in 13 prefecture-level cities is the largest in Nanjing, which produces an air pollution loss of 387.69 million yuan in 2019, and the lowest air pollution loss year is 2020, with an air pollution loss of 2430.02 million yuan. Therefore, to reduce the air pollution loss of 13 prefecture-level cities as well as 8 energy consumption pollutants in Jiangsu Province, special attention should be paid to the maximum index as well as the minimum index, and the economic loss caused by the energy consumption pollutant emission of low-carbon tourism in the province should be controlled by strategies such as minimizing the maximum air pollution loss index as well as maintaining the minimum air pollution loss index.
{"title":"Research on Air Pollution Loss Measurement of Harmful Substance Emissions from Tourism Energy Consumption in Jiangsu Province of China Based on Low Carbon Constraints","authors":"","doi":"10.30955/gnj.005311","DOIUrl":"https://doi.org/10.30955/gnj.005311","url":null,"abstract":"In order to explore the air pollution loss measurement of energy consumption pollutant emissions in low-carbon tourism in Jiangsu Province, this paper, based on background analysis, literature review and research design, selects 13 prefecture-level cities in Jiangsu Province as research objects, and investigates the Measurement of Air pollution Losses from Energy Consumption Pollutant Emissions in 13 tourism areas in Jiangsu Province by reconstructing the shadow price model of air pollution loss and using the statistical data from 2013 to 2021 provided by the government. It is found that: the air pollution loss caused by the emission of eight pollutants of low-carbon tourism energy consumption in Jiangsu province ranges from 142.92 million yuan to 253.93 million yuan, and the air pollution loss of low-carbon tourism energy consumption emission in 13 prefecture-level cities is the largest in Nanjing, which produces an air pollution loss of 387.69 million yuan in 2019, and the lowest air pollution loss year is 2020, with an air pollution loss of 2430.02 million yuan. Therefore, to reduce the air pollution loss of 13 prefecture-level cities as well as 8 energy consumption pollutants in Jiangsu Province, special attention should be paid to the maximum index as well as the minimum index, and the economic loss caused by the energy consumption pollutant emission of low-carbon tourism in the province should be controlled by strategies such as minimizing the maximum air pollution loss index as well as maintaining the minimum air pollution loss index. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"50 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139600985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A Squeeze and Excitation Network is a deep-learning architectural component designed to enhance networks. The "squeeze" step reduces the spatial dimensions of the input feature maps, and the "excitation" step adaptively recalibrates channel-wise feature responses. This allows the network to focus on more educational features and ignore less useful ones. Garbage classification is a crucial task for sustainable environmental management. It involves categorizing waste into recyclables, organics, and non-recyclables, among other classes. Deep learning models, like the proposed Buffalo Optimizer-based SEN, can play a pivotal role in automating this classification process using computer vision techniques. Garbage Classification: There is still a long way to go until countries worldwide have successfully increased public awareness and implemented measures to prevent the rapid degradation of the natural environment. The annual global generation of e-waste is between 20 and 50 million growing components of municipal solid garbage. The disposal of electronic trash presents significant threats to environmental quality. As a result, pollution monitoring and control are crucial for maintaining a healthy ecosystem. In this research, picture-layered characteristics were extracted using an encoder composed of varying numbers of ResBlocks and the Squeeze-and-Excitation (SE) block, which was built on top of the UNet backbone network. UNet's decoder structure was streamlined, and the number of network model parameters was cut in half. In the meantime, the multiscale feature fusion module was developed to enhance the network's detection accuracy by optimizing its parameters with a bespoke loss function in place of the standard function. The African Buffalo Optimisation Algorithm is also used to fine-tune the hyper-parameters.
{"title":"A Deep Learning-Based Buffalo Optimizer based Squeeze and Excitation Network for Garbage Classification for a Sustainable Environment","authors":"","doi":"10.30955/gnj.005304","DOIUrl":"https://doi.org/10.30955/gnj.005304","url":null,"abstract":"A Squeeze and Excitation Network is a deep-learning architectural component designed to enhance networks. The \"squeeze\" step reduces the spatial dimensions of the input feature maps, and the \"excitation\" step adaptively recalibrates channel-wise feature responses. This allows the network to focus on more educational features and ignore less useful ones. Garbage classification is a crucial task for sustainable environmental management. It involves categorizing waste into recyclables, organics, and non-recyclables, among other classes. Deep learning models, like the proposed Buffalo Optimizer-based SEN, can play a pivotal role in automating this classification process using computer vision techniques. Garbage Classification: There is still a long way to go until countries worldwide have successfully increased public awareness and implemented measures to prevent the rapid degradation of the natural environment. The annual global generation of e-waste is between 20 and 50 million growing components of municipal solid garbage. The disposal of electronic trash presents significant threats to environmental quality. As a result, pollution monitoring and control are crucial for maintaining a healthy ecosystem. In this research, picture-layered characteristics were extracted using an encoder composed of varying numbers of ResBlocks and the Squeeze-and-Excitation (SE) block, which was built on top of the UNet backbone network. UNet's decoder structure was streamlined, and the number of network model parameters was cut in half. In the meantime, the multiscale feature fusion module was developed to enhance the network's detection accuracy by optimizing its parameters with a bespoke loss function in place of the standard function. The African Buffalo Optimisation Algorithm is also used to fine-tune the hyper-parameters. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"57 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dumping of construction wastes has become one of the serious concerns in the construction industries subsequent to the scarcity of construction materials, specifically aggregates. Extensive research works have been performed to utilize the dumped waste as aggregates, yet its substandard properties affect the concrete. Furthermore, several treatments were proposed to improve the quality of aggregates such as microbial, slurry etc, but the brittleness of concrete remains unavoidable. This research discusses the effect of acid treatment and carbonation treatment on recycled concrete aggregates (RCA) and the impact of hybrid fibres on concrete properties. The steel fibres (SF) and polypropylene fibres (PF) were optimized to 1.5% and 1.0% with 100% treated RCA to assess the concrete's hardened properties and water absorption. The study reports that the carbonation treatment to RCA performs better compared to acid treatment and the mix with the use of hybrid fibres shows enhanced properties than single fibres. The strength of the mix with 100% carbonated RCA 1.5% SF and 1.0% PF was 57% higher than that of recycled aggregate concrete (RAC) and the water absorption of similar mix was found to be lower than other mixes. Microstructural investigations through SEM and XRD were also performed to support the research findings.
{"title":"Sustainable Treatment Approach to Dumped Construction Waste with Acids and CO2 for its Effective Re-utilization in Concrete","authors":"","doi":"10.30955/gnj.005540","DOIUrl":"https://doi.org/10.30955/gnj.005540","url":null,"abstract":"Dumping of construction wastes has become one of the serious concerns in the construction industries subsequent to the scarcity of construction materials, specifically aggregates. Extensive research works have been performed to utilize the dumped waste as aggregates, yet its substandard properties affect the concrete. Furthermore, several treatments were proposed to improve the quality of aggregates such as microbial, slurry etc, but the brittleness of concrete remains unavoidable. This research discusses the effect of acid treatment and carbonation treatment on recycled concrete aggregates (RCA) and the impact of hybrid fibres on concrete properties. The steel fibres (SF) and polypropylene fibres (PF) were optimized to 1.5% and 1.0% with 100% treated RCA to assess the concrete's hardened properties and water absorption. The study reports that the carbonation treatment to RCA performs better compared to acid treatment and the mix with the use of hybrid fibres shows enhanced properties than single fibres. The strength of the mix with 100% carbonated RCA 1.5% SF and 1.0% PF was 57% higher than that of recycled aggregate concrete (RAC) and the water absorption of similar mix was found to be lower than other mixes. Microstructural investigations through SEM and XRD were also performed to support the research findings. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"38 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139602357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Three laboratory scale systems were operated to study the anaerobic co-digestion of sewage sludge with the excess activated sludge and cattle manure which contained low COD concentration. The experiments were performed to evaluate the effects of different methods of pretreatment. Since the poor organic substrate, the organic loading rate(OLR) was designed about 1.6kg total solids(TS)(l *d)-1 and the hydraulic retention time was controlled from 78days to 53days throughout the experiment to investigate the effects of the input on overall stability. When the digesters got stabilized, the COD removal efficiencies were 61%, 89% and 54%, respectively, and the pH value fluctuated little in the three digesters. The results indicated that the treatment of 1g volatile solids(VS) of SSEASCM on semi-continuous co-digestion generated more than 200ml of biogas on average. Thus, anaerobic co-digestion of the mixed sludge provided a means for low COD waste treatment and produced renewable energy.
{"title":"Anaerobic co-digestion of low Chemical oxygen demand concentration sludge mixture by different pretreatment methods","authors":"","doi":"10.30955/gnj.005241","DOIUrl":"https://doi.org/10.30955/gnj.005241","url":null,"abstract":"Three laboratory scale systems were operated to study the anaerobic co-digestion of sewage sludge with the excess activated sludge and cattle manure which contained low COD concentration. The experiments were performed to evaluate the effects of different methods of pretreatment. Since the poor organic substrate, the organic loading rate(OLR) was designed about 1.6kg total solids(TS)(l *d)-1 and the hydraulic retention time was controlled from 78days to 53days throughout the experiment to investigate the effects of the input on overall stability. When the digesters got stabilized, the COD removal efficiencies were 61%, 89% and 54%, respectively, and the pH value fluctuated little in the three digesters. The results indicated that the treatment of 1g volatile solids(VS) of SSEASCM on semi-continuous co-digestion generated more than 200ml of biogas on average. Thus, anaerobic co-digestion of the mixed sludge provided a means for low COD waste treatment and produced renewable energy. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"58 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139600814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cyanide compounds are widely used in some electroplating, chemical and metallurgical industries. They are often found in their liquid discharges. This work highlights the performance of an activated alumina-supported copper catalyst in the removal of cyanide by oxidation with hydrogen peroxide in aqueous solution. The influence of catalyst dose, initial molar ratio of hydrogen peroxide/cyanides, temperature, and catalyst reuse was studied. The activated alumina-supported copper significantly enhanced the reaction rate showing a good catalytic activity. The efficiency of cyanide elimination was increased after 30 minutes of oxidation from 48% to 98% by increasing the catalyst dose from 1 to 10 g/L. Rising the temperature from 30°C to 40°C promoted cyanide removal. The catalyst can be recycled four times and show good stability. The kinetics of cyanide oxidation was revealed to be pseudo-first order with regarding cyanides. The rate constants as well as the activation energy were determined.
{"title":"Cyanide removal from aqueous solution by oxidation with hydrogen peroxide in the presence of activated alumina-supported copper catalyst","authors":"","doi":"10.30955/gnj.005639","DOIUrl":"https://doi.org/10.30955/gnj.005639","url":null,"abstract":"Cyanide compounds are widely used in some electroplating, chemical and metallurgical industries. They are often found in their liquid discharges. This work highlights the performance of an activated alumina-supported copper catalyst in the removal of cyanide by oxidation with hydrogen peroxide in aqueous solution. The influence of catalyst dose, initial molar ratio of hydrogen peroxide/cyanides, temperature, and catalyst reuse was studied. The activated alumina-supported copper significantly enhanced the reaction rate showing a good catalytic activity. The efficiency of cyanide elimination was increased after 30 minutes of oxidation from 48% to 98% by increasing the catalyst dose from 1 to 10 g/L. Rising the temperature from 30°C to 40°C promoted cyanide removal. The catalyst can be recycled four times and show good stability. The kinetics of cyanide oxidation was revealed to be pseudo-first order with regarding cyanides. The rate constants as well as the activation energy were determined. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"15 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139607287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to analyze the spatiotemporal change characteristics of regional flood disaster, analyze the main change characteristics and hydrological response of precipitation distribution in Guangxi, and improve the comprehensive utilization efficiency of water resources, this paper introduces the k-means clustering algorithm to design an analysis model of spatiotemporal change characteristics of flood disaster. First of all, obtain the flood data in Guangxi and the observation data of the national meteorological station within 5 km, complete the collection of the basic data of mountain flood disasters. Based on the collected data, an analysis was conducted on the spatial and temporal distribution of flash floods in the Guangxi region. Secondly, the Kriging spatial interpolation method was used to analyze the spatial distribution of precipitation data in Guangxi. The Mann-Kendall trend test was then employed to examine the trend of precipitation-related statistical parameters over time. Additionally, wavelet theory was applied to analyze the time series of annual precipitation and precipitation with different durations in Guangxi. Subsequently, the k-means clustering algorithm was introduced to construct a model for analyzing the spatiotemporal characteristics of flood changes, determining the concentration and duration of precipitation in different years in the region. Finally, analyze the spatiotemporal change characteristics of flood events in different seasons under various indicators, and realize the analysis of flood spatiotemporal change characteristics. The research results indicate that the Frank Copula function fits the best correlation between annual precipitation and temperature, and can better characterize the correlation between the two. The Frank Copula function has the best fitting effect on the correlation between precipitation and temperature in autumn in Guilin, summer in Nanning, and summer and winter in Beihai. In Guangxi Zhuang Autonomous Region, the annual precipitation shows a gradually decreasing trend, especially at R and P stations. In summary, the Frank Copula function can effectively characterize the correlation and trend of precipitation and temperature in different seasons and regions of Guangxi.
为分析区域洪涝灾害时空变化特征，分析广西降水分布的主要变化特征和水文响应，提高水资源综合利用效率，本文引入k-means聚类算法，设计了洪涝灾害时空变化特征分析模型。首先，获取广西的洪水数据和5 km范围内的国家气象站观测数据，完成山洪灾害基础数据的收集。根据收集到的数据，对广西地区山洪灾害的时空分布进行分析。其次，利用 Kriging 空间插值法分析了广西降水数据的空间分布。然后，采用 Mann-Kendall 趋势检验法检验降水相关统计参数随时间变化的趋势。此外，应用小波理论分析了广西年降水量和不同持续时间降水量的时间序列。随后，引入 k-means 聚类算法，构建洪水变化时空特征分析模型，确定该地区不同年份降水的集中程度和持续时间。最后，分析不同指标下不同季节洪水事件的时空变化特征，实现洪水时空变化特征分析。研究结果表明，Frank Copula 函数拟合的年降水量与气温的相关性最好，能够较好地表征两者之间的相关性。Frank Copula 函数对桂林秋季、南宁夏季、北海夏冬季降水与气温的相关性拟合效果最好。广西壮族自治区的年降水量呈逐渐减少的趋势，尤其是 R 站和 P 站。总之，Frank Copula 函数可以有效地描述广西不同季节和地区降水与气温的相关性和趋势。
{"title":"Analysis model of flood spatiotemporal change characteristics based on k-means clustering algorithm","authors":"","doi":"10.30955/gnj.005464","DOIUrl":"https://doi.org/10.30955/gnj.005464","url":null,"abstract":"In order to analyze the spatiotemporal change characteristics of regional flood disaster, analyze the main change characteristics and hydrological response of precipitation distribution in Guangxi, and improve the comprehensive utilization efficiency of water resources, this paper introduces the k-means clustering algorithm to design an analysis model of spatiotemporal change characteristics of flood disaster. First of all, obtain the flood data in Guangxi and the observation data of the national meteorological station within 5 km, complete the collection of the basic data of mountain flood disasters. Based on the collected data, an analysis was conducted on the spatial and temporal distribution of flash floods in the Guangxi region. Secondly, the Kriging spatial interpolation method was used to analyze the spatial distribution of precipitation data in Guangxi. The Mann-Kendall trend test was then employed to examine the trend of precipitation-related statistical parameters over time. Additionally, wavelet theory was applied to analyze the time series of annual precipitation and precipitation with different durations in Guangxi. Subsequently, the k-means clustering algorithm was introduced to construct a model for analyzing the spatiotemporal characteristics of flood changes, determining the concentration and duration of precipitation in different years in the region. Finally, analyze the spatiotemporal change characteristics of flood events in different seasons under various indicators, and realize the analysis of flood spatiotemporal change characteristics. The research results indicate that the Frank Copula function fits the best correlation between annual precipitation and temperature, and can better characterize the correlation between the two. The Frank Copula function has the best fitting effect on the correlation between precipitation and temperature in autumn in Guilin, summer in Nanning, and summer and winter in Beihai. In Guangxi Zhuang Autonomous Region, the annual precipitation shows a gradually decreasing trend, especially at R and P stations. In summary, the Frank Copula function can effectively characterize the correlation and trend of precipitation and temperature in different seasons and regions of Guangxi. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"89 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139612763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research was conducted to isolation, screening, identification, and culture conditions optimization (pH, temperature, thiosulfate concentration, and incubation period) of potential sulfur-oxidizing bacterial (SOB) to reduce sulfur concentrations in post-coal mining ponds water of various ages located in Samarinda, East Kalimantan, Indonesia. The ponds used in this study were ponds < 5 years old and > 20 years old. The research obtained seventy-five bacteria isolates, among them nine isolates can increase the pH of thiosulfate broth media. Among the nine bacteria isolates, three isolates KT1.8, KT1.9, and KT1.13 have the highest potency to reduce sulfur concentration of media were 6%, 148%, and 101%. Based on the similarity of the 16S rDNA sequences, the KT1.8, KT1.9, and KT1.13 isolates were identified as Priestia qingshengii HLS-7 (98.9%), Sphingobacterium siyangensis DS48 (97.6%), and Pseudomonas putida CFBP 4966 (98.3%). The three potential SOB isolates grew better at pH 6 at 30° C temperature with the growth of KT1.8 = 146x1014 cell/mL; KT1.9 = 81x107 cell/mL; and KT1.13 = 33x107 cell/mL; decrease in sulfur concentration KT1.8 = 43.57%; KT1.9 = 43.57%; and KT1.13 = 42.48%. On media containing 10 mM and 20 mM thiosulfate on the sixth day of incubation, cell density isolates KT1.8 = 98x1012 cell/mL; KT1.9 = 25x107 cell/mL; and KT1.13 = 85x106 cell/mL; accompanied by a decrease in sulfur concentration of KT1.8 = 46.52%; KT1.9 = 40.40%; and KT1.13 = 43.71% were obtained. Those three bacteria isolate potential can be developed as bioremediation agents of post-coal mining pond water contaminated by sulfur.
{"title":"Screening, Identification, and Optimization of Sulfur-Oxidizing Bacteria from Post-coal Mining Ponds of Different Ages in Samarinda, East Kalimantan, Indonesia","authors":"","doi":"10.30955/gnj.005513","DOIUrl":"https://doi.org/10.30955/gnj.005513","url":null,"abstract":"This research was conducted to isolation, screening, identification, and culture conditions optimization (pH, temperature, thiosulfate concentration, and incubation period) of potential sulfur-oxidizing bacterial (SOB) to reduce sulfur concentrations in post-coal mining ponds water of various ages located in Samarinda, East Kalimantan, Indonesia. The ponds used in this study were ponds < 5 years old and > 20 years old. The research obtained seventy-five bacteria isolates, among them nine isolates can increase the pH of thiosulfate broth media. Among the nine bacteria isolates, three isolates KT1.8, KT1.9, and KT1.13 have the highest potency to reduce sulfur concentration of media were 6%, 148%, and 101%. Based on the similarity of the 16S rDNA sequences, the KT1.8, KT1.9, and KT1.13 isolates were identified as Priestia qingshengii HLS-7 (98.9%), Sphingobacterium siyangensis DS48 (97.6%), and Pseudomonas putida CFBP 4966 (98.3%). The three potential SOB isolates grew better at pH 6 at 30° C temperature with the growth of KT1.8 = 146x1014 cell/mL; KT1.9 = 81x107 cell/mL; and KT1.13 = 33x107 cell/mL; decrease in sulfur concentration KT1.8 = 43.57%; KT1.9 = 43.57%; and KT1.13 = 42.48%. On media containing 10 mM and 20 mM thiosulfate on the sixth day of incubation, cell density isolates KT1.8 = 98x1012 cell/mL; KT1.9 = 25x107 cell/mL; and KT1.13 = 85x106 cell/mL; accompanied by a decrease in sulfur concentration of KT1.8 = 46.52%; KT1.9 = 40.40%; and KT1.13 = 43.71% were obtained. Those three bacteria isolate potential can be developed as bioremediation agents of post-coal mining pond water contaminated by sulfur. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139525236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Formaldehyde is one of the typical indoor pollutants causing theprevalence of acute health issues among those residing in indoor environments. Biofiltrationis a commonly adopted technique to treat indoor air pollutants. In this investigation, a biofilter was fabricated and compactly filled with compost, vermiculite and activated carbon (65:25:10) as a media composition for enhanced formaldehyde degradation. The influence of formaldehyde inlet concentration (0.01 – 1 gm-3g/m3) and EBRT (30 – 180 s) was studied to evaluate the biofilter performance. Their progression was assessed with dynamic operations in five phases with two stages each. The formaldehyde removal was achieved between the range of 32% to 98% with regular intervals of EBRT at 30, 60, 90, 120, 150 and 180 seconds, which depend upon varying their flow rate and inlet loading rate. The biofilter performance lasted for over 202 days with a 98% formaldehyde removal and 23 g/m3h-1biofilter capacity under the maximum EBRT (180 s) and inlet formaldehyde concentration (1 gm-3g/m3). The experimental findings demonstrated the efficacy of biofilter in withstanding substantial formaldehyde loading rate while maintaining an acceptable EBRT. The primary microbe responsible for formaldehyde degradation was identified to be as gram-negative bacteria.
{"title":"Formaldehyde degradation using Biofilter loaded with Compost, Vermiculite and Activated Carbon: Performance and Optimization","authors":"","doi":"10.30955/gnj.005622","DOIUrl":"https://doi.org/10.30955/gnj.005622","url":null,"abstract":"Formaldehyde is one of the typical indoor pollutants causing theprevalence of acute health issues among those residing in indoor environments. Biofiltrationis a commonly adopted technique to treat indoor air pollutants. In this investigation, a biofilter was fabricated and compactly filled with compost, vermiculite and activated carbon (65:25:10) as a media composition for enhanced formaldehyde degradation. The influence of formaldehyde inlet concentration (0.01 – 1 gm-3g/m3) and EBRT (30 – 180 s) was studied to evaluate the biofilter performance. Their progression was assessed with dynamic operations in five phases with two stages each. The formaldehyde removal was achieved between the range of 32% to 98% with regular intervals of EBRT at 30, 60, 90, 120, 150 and 180 seconds, which depend upon varying their flow rate and inlet loading rate. The biofilter performance lasted for over 202 days with a 98% formaldehyde removal and 23 g/m3h-1biofilter capacity under the maximum EBRT (180 s) and inlet formaldehyde concentration (1 gm-3g/m3). The experimental findings demonstrated the efficacy of biofilter in withstanding substantial formaldehyde loading rate while maintaining an acceptable EBRT. The primary microbe responsible for formaldehyde degradation was identified to be as gram-negative bacteria. \u0000","PeriodicalId":502310,"journal":{"name":"Global NEST: the international Journal","volume":"60 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139526690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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