Pub Date : 2024-06-14DOI: 10.1088/2515-7620/ad58af
Husnain Haider, Abdul Razzaq Ghumman, Ibrahim Saleh Al-Salamah, Abdulaziz Alharbi, Yassine EL-Ghoul, Muhammad Ali Martuza
The Kingdom of Saudi Arabia (KSA) faces challenges in protecting its limited natural water resources. The centralized sewage treatment plants (STPs) contribute to conserving natural water resources in various regions of KSA. For sustainable wastewater management strategies in arid environments, the performance of STPs needs to be assessed for various beneficial uses in addition to the existing regulations. The present study used extensive effluent quality data of four STPs to develop a performance assessment approach using multi-criteria and principal component analyses. The performance levels were derived from the compliance rate of effluent standards with different reuses and the efficacy of biosolids management. The proposed approach evaluated the STPs based on the planned applications of treated effluents, considering the land use characteristics of each plant's disposal point. The factors loadings obtained for the STPs, encompassing total suspended and dissolved solids, and total dissolved solids, oxidizing demanding pollutants (BOD and COD), and nutrients (NO3 and PO4), with 3 to 4 principal components demonstrating above 60% of the effluent monitoring data, established the importance of the effluent quality parameters. The effluent quality index (EQI) was developed for existing and potential reuses, e.g., irrigation, landscaping, fishery, and recreation, during dry (summer) and wet (winter) periods. All STPs showed high EQI for both periods for the present reuse standards of unrestricted irrigation and landscaping. The overall performance index, aggregating EQI and the efficacy of sludge management practices, illustrated declining performance, suggesting staged improvements (tertiary-level treatment, air floatation, sludge digestion, and waste-to-energy) through a periodic assessment process. STPs must enhance their sludge management efficacy to produce Class-A biosolids and waste-to-energy. The proposed approach will help make strategic decisions regarding improvements for STPs and the allocation of financial resources to protect natural resources in various regions across KSA.
{"title":"A Strategic Approach to Sustainable Wastewater Management and Reuse in Saudi Arabia","authors":"Husnain Haider, Abdul Razzaq Ghumman, Ibrahim Saleh Al-Salamah, Abdulaziz Alharbi, Yassine EL-Ghoul, Muhammad Ali Martuza","doi":"10.1088/2515-7620/ad58af","DOIUrl":"https://doi.org/10.1088/2515-7620/ad58af","url":null,"abstract":"\u0000 The Kingdom of Saudi Arabia (KSA) faces challenges in protecting its limited natural water resources. The centralized sewage treatment plants (STPs) contribute to conserving natural water resources in various regions of KSA. For sustainable wastewater management strategies in arid environments, the performance of STPs needs to be assessed for various beneficial uses in addition to the existing regulations. The present study used extensive effluent quality data of four STPs to develop a performance assessment approach using multi-criteria and principal component analyses. The performance levels were derived from the compliance rate of effluent standards with different reuses and the efficacy of biosolids management. The proposed approach evaluated the STPs based on the planned applications of treated effluents, considering the land use characteristics of each plant's disposal point. The factors loadings obtained for the STPs, encompassing total suspended and dissolved solids, and total dissolved solids, oxidizing demanding pollutants (BOD and COD), and nutrients (NO3 and PO4), with 3 to 4 principal components demonstrating above 60% of the effluent monitoring data, established the importance of the effluent quality parameters. The effluent quality index (EQI) was developed for existing and potential reuses, e.g., irrigation, landscaping, fishery, and recreation, during dry (summer) and wet (winter) periods. All STPs showed high EQI for both periods for the present reuse standards of unrestricted irrigation and landscaping. The overall performance index, aggregating EQI and the efficacy of sludge management practices, illustrated declining performance, suggesting staged improvements (tertiary-level treatment, air floatation, sludge digestion, and waste-to-energy) through a periodic assessment process. STPs must enhance their sludge management efficacy to produce Class-A biosolids and waste-to-energy. The proposed approach will help make strategic decisions regarding improvements for STPs and the allocation of financial resources to protect natural resources in various regions across KSA.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141344199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1088/2515-7620/ad58ae
Megha Arakeri, Dhatvik M P, A V Kavan, Kamma Sushreya Murthy, Lakshmi Nishitha, Lakshmi Napa
Agriculture in India is a vital sector that contains a major portion of the population and impacts substantially the country's economy. Cocoa is a crop that has commercial importance and is used for the production of chocolates. It is one of the main crops cultivated in south India due to the humid tropical climate. However, the cocoa plant is susceptible to various diseases caused by bacteria, viruses, and pests resulting in yield losses. Visual analysis is a subjective and time-consuming process. Further, farmers use improper pesticides to prevent diseases, and this will degrade the plant and soil quality. To overcome these problems, this paper proposes an automatic cocoa plant disease detection and pesticide recommendation system using computer vision and deep learning techniques. The proposed system was evaluated on a dataset of 6000 cocoa plant images, and an accuracy of 99.83% was obtained in disease classification. The proposed system can help cocoa farmers in the detection of cocoa plant diseases in the early stage and reduce the use of excessive pesticides, thus promoting sustainable agriculture practices.
{"title":"Intelligent Pesticide Recommendation System for Cocoa Plant Using Computer Vision and Deep Learning Techniques","authors":"Megha Arakeri, Dhatvik M P, A V Kavan, Kamma Sushreya Murthy, Lakshmi Nishitha, Lakshmi Napa","doi":"10.1088/2515-7620/ad58ae","DOIUrl":"https://doi.org/10.1088/2515-7620/ad58ae","url":null,"abstract":"\u0000 Agriculture in India is a vital sector that contains a major portion of the population and impacts substantially the country's economy. Cocoa is a crop that has commercial importance and is used for the production of chocolates. It is one of the main crops cultivated in south India due to the humid tropical climate. However, the cocoa plant is susceptible to various diseases caused by bacteria, viruses, and pests resulting in yield losses. Visual analysis is a subjective and time-consuming process. Further, farmers use improper pesticides to prevent diseases, and this will degrade the plant and soil quality. To overcome these problems, this paper proposes an automatic cocoa plant disease detection and pesticide recommendation system using computer vision and deep learning techniques. The proposed system was evaluated on a dataset of 6000 cocoa plant images, and an accuracy of 99.83% was obtained in disease classification. The proposed system can help cocoa farmers in the detection of cocoa plant diseases in the early stage and reduce the use of excessive pesticides, thus promoting sustainable agriculture practices.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141340311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1088/2515-7620/ad578f
Bhakti Patel, Reema Desai, V. Yadav, N. Choudhary, Mohamad Javed Ansari, Sulaiman Ali Alharbi, Rajat Patel, Avani Thakker, Ashish Patel
Dye is one of the major pollutions around the whole world which have adverse effects on the environment and human beings. There is a requirement for an efficient, reliable, sustainable, and eco-friendly approach to the removal of dyes. In the present research, three individual bacterial strains Enterobacter aerogenes (MBX6), Klebsiella pneumoniae (MBC34), and Micrococcus luteus (MBC23) and their consortium was used to remove Methyl Red (MR) dye. The dye removal was observed at different initial concentrations of dye, nutrient media, additives in the nutrient media and sugarcane bagasse extract as a bacterial growth medium. The outcomes of the study showed that the bacterial consortium exhibits better removal efficiencies (63.6%) than individual bacterial strains and the dye removal percentage (75.19%) enhanced with increasing concentration of sucrose (3%) which was used as media additive. The addition of the sugar in nutrient medium resulted in more effective dye removal. The maximum removal of MR dye (98.6%) was achieved when the consortium was grown in a media containing pure sugarcane bagasse extract. The use of sugarcane bagasse extract (agricultural waste product) as a novel growth medium for the cultivation of bacteria possessing dye removal capabilities can offer a sustainable and cost-effective solution for industrial wastewater treatment.
{"title":"Efficient degradation of methyl red dye from the aqueous solution by individual bacterial and their consortium in a sugarcane bagasse waste-based media","authors":"Bhakti Patel, Reema Desai, V. Yadav, N. Choudhary, Mohamad Javed Ansari, Sulaiman Ali Alharbi, Rajat Patel, Avani Thakker, Ashish Patel","doi":"10.1088/2515-7620/ad578f","DOIUrl":"https://doi.org/10.1088/2515-7620/ad578f","url":null,"abstract":"\u0000 Dye is one of the major pollutions around the whole world which have adverse effects on the environment and human beings. There is a requirement for an efficient, reliable, sustainable, and eco-friendly approach to the removal of dyes. In the present research, three individual bacterial strains Enterobacter aerogenes (MBX6), Klebsiella pneumoniae (MBC34), and Micrococcus luteus (MBC23) and their consortium was used to remove Methyl Red (MR) dye. The dye removal was observed at different initial concentrations of dye, nutrient media, additives in the nutrient media and sugarcane bagasse extract as a bacterial growth medium. The outcomes of the study showed that the bacterial consortium exhibits better removal efficiencies (63.6%) than individual bacterial strains and the dye removal percentage (75.19%) enhanced with increasing concentration of sucrose (3%) which was used as media additive. The addition of the sugar in nutrient medium resulted in more effective dye removal. The maximum removal of MR dye (98.6%) was achieved when the consortium was grown in a media containing pure sugarcane bagasse extract. The use of sugarcane bagasse extract (agricultural waste product) as a novel growth medium for the cultivation of bacteria possessing dye removal capabilities can offer a sustainable and cost-effective solution for industrial wastewater treatment.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract: Empowering industrial green development with the digital economy represents a crucial approach to advancing the green transformation of China’s economy and achieving high-quality economic development. Based on panel data from 279 cities in China from 2011 to 2021, this article uses the spatial econometrics model and threshold effect model to explore the spatial effect and nonlinearity of digital economy (DE) on industrial green development (IGD). The results show that, both DE and IGD exhibit fluctuating upward trends in China. There exists stronger spatial linkage effect in the eastern coastal areas, but this effect is weaker in the central and western regions. Furthermore, DE has significantly promoted IGD, and the conclusion remains robust after a series of endogeneity and robustness tests. Additionally, the promotion of the DE for IGD is characterized by regional spillovers and non-linear dynamics. The research results can serve as a theoretical support and decision-making basis for China to enhance industrial green development, promote the construction of an ecological civilization, and implement sustainable development strategies.
{"title":"Research on the spatio-temporal evolution and impact of China’s industrial green development from the perspective of digital economy--based on analysis of 279 cities in China","authors":"Mengxing Zhou, Jinghua Zhang, Ling Huang, Qiuping Lu, Huimei Yuan, Lingxin Bao","doi":"10.1088/2515-7620/ad578d","DOIUrl":"https://doi.org/10.1088/2515-7620/ad578d","url":null,"abstract":"\u0000 Abstract: Empowering industrial green development with the digital economy represents a crucial approach to advancing the green transformation of China’s economy and achieving high-quality economic development. Based on panel data from 279 cities in China from 2011 to 2021, this article uses the spatial econometrics model and threshold effect model to explore the spatial effect and nonlinearity of digital economy (DE) on industrial green development (IGD). The results show that, both DE and IGD exhibit fluctuating upward trends in China. There exists stronger spatial linkage effect in the eastern coastal areas, but this effect is weaker in the central and western regions. Furthermore, DE has significantly promoted IGD, and the conclusion remains robust after a series of endogeneity and robustness tests. Additionally, the promotion of the DE for IGD is characterized by regional spillovers and non-linear dynamics. The research results can serve as a theoretical support and decision-making basis for China to enhance industrial green development, promote the construction of an ecological civilization, and implement sustainable development strategies.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1088/2515-7620/ad578a
Tran Thi Lan Huong, Tran Thi Lan Phuong, T. T. Dat, Dinh Duc Truong
Land acquisition and resetlement are sensitive issues because of its large impacts on the life of local people and communities, especially in developing nations. In Vietnam, recently, land acquisition is increasingly popular to serve infrastructure development and socio-economic projects. This study aims to identify factors affecting household environmental satisfaction after land acquisition and resetlement in Hai Phong city. The empirical study model is proposed based on theoretical model by Shin (2016) and empirical studies on environmental satisfaction. We conducted 2 focus group discussions with stakeholders and a survey sample of 585 households in 03 resetlement areas to collect data. Cronbach' Alpha test, exploratory factor analysis, and multiple regressions were used for data analysis. Results showed 6 main factors affecting the extent of respondents’ environmental satisfaction after land acquisition, including employment and income, local government, public services and facilities, social networks, environment and health and education. Among them, employment and income is strongest impact factor. From the results, some solutions were proposed to increase satifactions and stabilize livelihoods for people after land acquisition in Hai Phong and Vietnam.
{"title":"ENVIRONMENTAL SATISFACTION OF RESETTLEMENT HOUSEHOLDS AFTER LAND ACQUISITION IN VIETNAM: A CASE STUDY IN HAI PHONG CITY","authors":"Tran Thi Lan Huong, Tran Thi Lan Phuong, T. T. Dat, Dinh Duc Truong","doi":"10.1088/2515-7620/ad578a","DOIUrl":"https://doi.org/10.1088/2515-7620/ad578a","url":null,"abstract":"\u0000 Land acquisition and resetlement are sensitive issues because of its large impacts on the life of local people and communities, especially in developing nations. In Vietnam, recently, land acquisition is increasingly popular to serve infrastructure development and socio-economic projects. This study aims to identify factors affecting household environmental satisfaction after land acquisition and resetlement in Hai Phong city. The empirical study model is proposed based on theoretical model by Shin (2016) and empirical studies on environmental satisfaction. We conducted 2 focus group discussions with stakeholders and a survey sample of 585 households in 03 resetlement areas to collect data. Cronbach' Alpha test, exploratory factor analysis, and multiple regressions were used for data analysis. Results showed 6 main factors affecting the extent of respondents’ environmental satisfaction after land acquisition, including employment and income, local government, public services and facilities, social networks, environment and health and education. Among them, employment and income is strongest impact factor. From the results, some solutions were proposed to increase satifactions and stabilize livelihoods for people after land acquisition in Hai Phong and Vietnam.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1088/2515-7620/ad578e
S.P. Mangaiyarkarasi, balaKumar subramanian, Jebaraj Luke, B. Muthuvel, I.D. Soubache
Remote electrification enhances the quality of life quality of people in remote areas, with no access to electricity through distributed coverage of electricity. Due to the irregular and unbalanced fuel cost and impracticable expansion of the grid, hybrid integrated renewable energy sources become dependable substitute for remote electrification. The necessity of uninterrupted power dispatch is a prime factor for primary health centres, located in tribal and remote areas. This article proposes an integrated primary analysis like financial, production, quantity and environmental, applied to an optimum sizing of a hybrid standalone renewable energy source, which might be carried out in eight primary health centres, situated in the Gudalur Zone in Nilgiris District, Tamil Nadu, India. Four different criteria were inspected in this study, as standard loading, boost up loading, step down loading and complete renewable loading. In addition, every criterion was assessed with four kinds of PV tracking arrangements. HOMER Pro Micro-grid Analysis Tool was used, to analyze the different primary parameters of this study. The foremost financial parameters like COE (Cost of Energy) and NPC (Net Present Cost), could range from 0.102 to 0.118 $ per kWh and from 0.4047 to 0.5708 Million $ respectively.
偏远地区电气化通过分布式供电提高了偏远地区无电人口的生活质量。由于燃料成本不规则、不平衡，以及电网扩展不切实际，混合集成可再生能源成为远程电气化的可靠替代品。对于位于部落和偏远地区的初级保健中心来说，不间断电力调度的必要性是一个首要因素。本文提出了一种综合的初级分析方法，如财务、生产、数量和环境分析，适用于混合独立可再生能源的最佳规模，可在印度泰米尔纳德邦尼尔吉里斯区古达鲁尔区的八个初级保健中心实施。这项研究检查了四种不同的标准，即标准负载、升压负载、降压负载和完全可再生负载。此外，每种标准还通过四种光伏跟踪布置进行了评估。本研究使用 HOMER Pro 微电网分析工具来分析不同的主要参数。最重要的财务参数，如 COE（能源成本）和 NPC（净现值成本），范围分别为每千瓦时 0.102 至 0.118 美元和 0.4047 至 0.5708 百万美元。
{"title":"An extensive qualitative and quantitative multi criteria analysis for a hybrid renewable energy system applied to tribal zone - based primary health centres, and maximizing the societal parameters","authors":"S.P. Mangaiyarkarasi, balaKumar subramanian, Jebaraj Luke, B. Muthuvel, I.D. Soubache","doi":"10.1088/2515-7620/ad578e","DOIUrl":"https://doi.org/10.1088/2515-7620/ad578e","url":null,"abstract":"\u0000 Remote electrification enhances the quality of life quality of people in remote areas, with no access to electricity through distributed coverage of electricity. Due to the irregular and unbalanced fuel cost and impracticable expansion of the grid, hybrid integrated renewable energy sources become dependable substitute for remote electrification. The necessity of uninterrupted power dispatch is a prime factor for primary health centres, located in tribal and remote areas. This article proposes an integrated primary analysis like financial, production, quantity and environmental, applied to an optimum sizing of a hybrid standalone renewable energy source, which might be carried out in eight primary health centres, situated in the Gudalur Zone in Nilgiris District, Tamil Nadu, India. Four different criteria were inspected in this study, as standard loading, boost up loading, step down loading and complete renewable loading. In addition, every criterion was assessed with four kinds of PV tracking arrangements. HOMER Pro Micro-grid Analysis Tool was used, to analyze the different primary parameters of this study. The foremost financial parameters like COE (Cost of Energy) and NPC (Net Present Cost), could range from 0.102 to 0.118 $ per kWh and from 0.4047 to 0.5708 Million $ respectively.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1088/2515-7620/ad578b
Tran Thi Lan Phuong, Tran Thi Lan Huong, T. T. Dat, Dinh Duc Truong
This study aims to determine the factors affecting people's intention to buy electric motobikes in Hanoi, Vietnam. We used Theory of Planned Behavior to develop research models. The study was conducted by convenient sampling method with 600 survey participants currently studying and working in Hanoi. The study used SPSS 22.0 software to perform: Descriptive statistics, Cronbach's Alpha test, Exploring Factor Analysis, linear regression, and Anova to process data. The results show six factors, which are (1) Environmental awareness, (2) Attitude, (3) Perceived behavioral control, (4) Attractiveness of other means, (5) Subjective norm, (6) Promotion policies, have an impact on the intention to buy electric motorbikes of people in Hanoi. In which the attitude variable has the most decisive impact. From the research results, the authors give some managerial implications to increase the intention to buy electric motorbikes of people in Vietnam.
{"title":"Determinants of electric motorbike purchasing intention among consumers in Hanoi City, Vietnam","authors":"Tran Thi Lan Phuong, Tran Thi Lan Huong, T. T. Dat, Dinh Duc Truong","doi":"10.1088/2515-7620/ad578b","DOIUrl":"https://doi.org/10.1088/2515-7620/ad578b","url":null,"abstract":"\u0000 This study aims to determine the factors affecting people's intention to buy electric motobikes in Hanoi, Vietnam. We used Theory of Planned Behavior to develop research models. The study was conducted by convenient sampling method with 600 survey participants currently studying and working in Hanoi. The study used SPSS 22.0 software to perform: Descriptive statistics, Cronbach's Alpha test, Exploring Factor Analysis, linear regression, and Anova to process data. The results show six factors, which are (1) Environmental awareness, (2) Attitude, (3) Perceived behavioral control, (4) Attractiveness of other means, (5) Subjective norm, (6) Promotion policies, have an impact on the intention to buy electric motorbikes of people in Hanoi. In which the attitude variable has the most decisive impact. From the research results, the authors give some managerial implications to increase the intention to buy electric motorbikes of people in Vietnam.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1088/2515-7620/ad578c
Mohammed Salim, Subeesh M. P., Jeffery Scott, Hajoon Song, John Marshall, Maryam R. Alshehhi
We investigate the influence of tides on the exchange of water between the Arabian Gulf and the Sea of Oman through the Strait of Hormuz using a high-resolution numerical model. Two numerical simulations are contrasted, one with and one without tidal forcing. We find that tides suppress exchange through the Strait, by 20% in the annual mean, being largest in the summer (∼30%) and diminishing in the winter (∼13%). Tides enhance the parameterised shear-driven vertical mixing inside the Gulf and Strait, mixing warm, relatively fresh surface waters downward thus reducing the density of bottom waters flowing outwards. This reduces the lateral difference of density between Gulf and Sea of Oman and hence the exchange through the Strait. Maximum reductions occur in summer when both the vertical stratification and mixing is the largest.
{"title":"Role of tidal mixing on ocean exchange through the Strait of Hormuz","authors":"Mohammed Salim, Subeesh M. P., Jeffery Scott, Hajoon Song, John Marshall, Maryam R. Alshehhi","doi":"10.1088/2515-7620/ad578c","DOIUrl":"https://doi.org/10.1088/2515-7620/ad578c","url":null,"abstract":"\u0000 We investigate the influence of tides on the exchange of water between the Arabian Gulf and the Sea of Oman through the Strait of Hormuz using a high-resolution numerical model. Two numerical simulations are contrasted, one with and one without tidal forcing. We find that tides suppress exchange through the Strait, by 20% in the annual mean, being largest in the summer (∼30%) and diminishing in the winter (∼13%). Tides enhance the parameterised shear-driven vertical mixing inside the Gulf and Strait, mixing warm, relatively fresh surface waters downward thus reducing the density of bottom waters flowing outwards. This reduces the lateral difference of density between Gulf and Sea of Oman and hence the exchange through the Strait. Maximum reductions occur in summer when both the vertical stratification and mixing is the largest.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1088/2515-7620/ad5790
Famous Ozabor, Vremudia Onyeayana Wekpe, Eyetan Tega, Collins Ojoh
The mega city of Lagos, Nigeria is plagued by various environmental issues, chief amongst them being environmental pollution induced by poor and disjointed urban industrial waste management practices. This study aimed to identify and quantify the types of urban industrial waste generated in Lagos State. The State plays host to the largest population base in Nigeria with over 20m people. The study adopted a quasi-experimental design. Soil, industrial waste generation and pollutant levels were determined with the aid of a thermal mass gas flow meter. Industrial wastes were measured in-situ using a weighting scale, while surface soil samples were collected at depths of 0-30cm. Results show that 20% of the industrial waste generated in the metropolis was ignitable (possibility of spontaneous combustion). The results were thereafter compared with international standards on the permissible limits for various pollutants in air and soil of Lagos State. Ikorodu had the greatest contribution of industrial waste generated in Lagos, followed by Ikeja, Oshodi, Ojo/Alaba and Surulere. The implications of these results and findings is that a lot needs to be done in terms of appropriate legislation, enforcement and tracking of industrial waste generation in Lagos State for effective monitoring and implementation of management strategies.
{"title":"SPATIAL ASSESSMENT OF POLLUTANTS CONCENTRATION IN AIR AND SOILS IMPACTED BY INDUSTRIAL WASTES IN LAGOS STATE, NIGERIA.","authors":"Famous Ozabor, Vremudia Onyeayana Wekpe, Eyetan Tega, Collins Ojoh","doi":"10.1088/2515-7620/ad5790","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5790","url":null,"abstract":"\u0000 The mega city of Lagos, Nigeria is plagued by various environmental issues, chief amongst them being environmental pollution induced by poor and disjointed urban industrial waste management practices. This study aimed to identify and quantify the types of urban industrial waste generated in Lagos State. The State plays host to the largest population base in Nigeria with over 20m people. The study adopted a quasi-experimental design. Soil, industrial waste generation and pollutant levels were determined with the aid of a thermal mass gas flow meter. Industrial wastes were measured in-situ using a weighting scale, while surface soil samples were collected at depths of 0-30cm. Results show that 20% of the industrial waste generated in the metropolis was ignitable (possibility of spontaneous combustion). The results were thereafter compared with international standards on the permissible limits for various pollutants in air and soil of Lagos State. Ikorodu had the greatest contribution of industrial waste generated in Lagos, followed by Ikeja, Oshodi, Ojo/Alaba and Surulere. The implications of these results and findings is that a lot needs to be done in terms of appropriate legislation, enforcement and tracking of industrial waste generation in Lagos State for effective monitoring and implementation of management strategies.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1088/2515-7620/ad5791
Abdulaziz Aldegheishem
The Middle East region is a strategic driver of the global economy. However, ensuring environmental sustainability in the context of rapid urban and economic changes remains a major challenge for most Middle Eastern countries.Although researchers have widely examined factors affecting carbon dioxide emissions (CO2), little attention has been paid to the Middle Eastern countries. This study uses an ARDL model to examine the nexus between urbanization, energy consumption, economic growth, and CO2 emissions for three Middle Eastern countries, (Saudi Arabia, Egypt and Jordan) based on panel data for the period 1990 to 2023. Findings reveal that urbanization has had no significant impact on CO2 emissions in Egypt; this is not in line with the findings for Saudi Arabia and Jordan, where urbanization has reduced CO2 emissions in the long- and short-run, indicating that urban policies are well matched with environmental goals in both countries. However, empirical results indicate that energy consumption has had a positive effect on CO2 emissions in the long- and short-run in all three countries and economic growth has also had a positive impact on CO2 emissions. The fact that economic growth has been unable to mitigate CO2 emissions indicates a mismatch between economic policies and environmental goals. This article suggests a series of valuable insights for policymakers to reduce CO2 emissions.
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