Environmental Quality Management最新文献

{"title":"Navigating Carbon Peaking and Neutrality in MENA: The Impact of Foreign Direct Investment and Trade Openness Using Panel PCSE and FGLS Techniques","authors":"Ummar Faruk Saeed,&nbsp;Angelina Kissiwaa Twum,&nbsp;Godfred Etse Klugah","doi":"10.1002/tqem.22352","DOIUrl":"https://doi.org/10.1002/tqem.22352","url":null,"abstract":"<div>\u0000 \u0000 <p>In response to the global challenge of climate change and the drive towards carbon neutrality, this study investigates the effects of foreign direct investment (FDI) and trade openness (TO) on carbon emissions (CEM) within the Middle East and North Africa (MENA) region. The research spans 18 countries from 1990 to 2022, focusing on Sustainable Development Goal 13. Utilizing Porter's hypothesis and the Environmental Kuznets Curve (EKC) theory, the study applies quantitative methods including panel corrected standard errors (PCSE) and feasible generalized least squares (FGLS) to ensure robustness. To address potential endogeneity, two-stage least squares and lagged effect estimations are employed. The findings reveal that both FDI and TO are associated with reduced CEM, indicating positive environmental impacts. Also, the pairwise causality tests show bidirectional causality between FDI, TO, and CEM, while a unidirectional causality is found from industrialization (IND) and energy consumption (EC) to CEM. These results underscore the importance of integrating FDI and TO into strategies for achieving carbon neutrality and advancing sustainable development goals, offering actionable insights for policymakers.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641416","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}

{"title":"Insights Into the Adsorption Behavior of Polyethylene Microplastics Towards Lead(II) Ions","authors":"Krishnan Saravanakumar,&nbsp;Manickam Sathyamoorthy,&nbsp;Donipathi Mogili Reddy Prasad,&nbsp;Balakrishna Sankari Naveen Prasad,&nbsp;Ramalingham Senthilkumar,&nbsp;Govindarajan Lakshmanarao","doi":"10.1002/tqem.22355","DOIUrl":"https://doi.org/10.1002/tqem.22355","url":null,"abstract":"<div>\u0000 \u0000 <p>Microplastics and metals represent widespread contaminants which can cause significant damage to aquatic ecosystems and organisms. However, the complex interactions between microplastics and various metals in water environments remains to be understood. This study aims to investigate the interaction dynamics between lead(II) ions and polyethylene in freshwater environments. Adsorption trials were conducted systematically by adjusting operational parameters such as initial Pb(II) concentration, equilibrium pH value, and residence times. An in-depth characterization study using scanning electron microscopy (SEM), x-ray diffraction and Fourier transform infrared (FTIR) analysis was conducted to explain the adsorption mechanism of polyethylene microplastics (PEM). The data indicated the porous surface of PEM, highlighting the presence of diverse functional groups. According to the Langmuir model, the PEM exhibited maximum Pb(II) uptake of 3.69 mg/g at pH 4.5. The pseudo-first-order model demonstrated superior fitting to Pb(II)-PEM kinetics. Desorption trials were performed to assess the release of Pb(II) from Pb(II)-bounded PEM using various chemical agents. It was observed that 0.01 M HNO₃ desorbed Pb(II) ions optimally, achieving a desorption efficiency exceeding 99.9%. Consequently, desorption trials provided evidence that Pb(II)-bounded PEM may release Pb(II) ions in acidic environments, facilitating the transfer of Pb(II) to the digestive tracts of aquatic organisms.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641505","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}

{"title":"Dynamics of Shoreline Changes Along the Coast of Subarnarekha and Budhabalanga River Estuary, North Eastern Coast of India Using DSAS Technique: A Geospatial Technology Approach","authors":"Satyaranjan Giri,&nbsp;Jagadish Kumar Tripathy,&nbsp;Debashis Mitra,&nbsp;Smruti Ranjan Senapati","doi":"10.1002/tqem.22349","DOIUrl":"https://doi.org/10.1002/tqem.22349","url":null,"abstract":"<div>\u0000 \u0000 <p>The coastal regions represent one of the most significant environmental and economic resources, offering critical ecosystems that support biodiversity. Shoreline change analysis offers critical insights into coastal dynamics, providing trends in erosion and accretion, enabling effective coastal management and hazard mitigation. In the current study, shoreline change is assessed utilizing the Digital Shoreline Analysis System (DSAS) model for Subarnarekha and Budhabalanga river estuaries in Baleswar district, Odisha, India. The shoreline was extracted using multitemporal satellite images like Landsat-5 and Landsat-7 for the years 1991, 2000, and 2011. Similarly Sentinel-2 and Landsat-8 satellite imagery were used for the year 2022. The satellite data from 1991 to 2022 were processed using Envi, ArcGIS softwares and the shoreline is extracted for each year using band ratioing methods to demarcate shoreline. In the current research, the net accretion and erosion along the coast were analyzed using the GIS (geographic information systems) technique and the DSAS model. The four important statistical parameters of the DSAS model utilized in the study area are end point rate (EPR), net shoreline movement (NSM), linear regression rate (LRR), and least median of squares (LMS). The shoreline change analysis for the coast of Subarnarekha and Budhabalanga river estuary area from 1991 to 2022 reveals that 44% of the coast is under accretion, 7% is under stable coast, and 23% is under erosion. According to the findings, the coastal area of the recent study is both progressive and regressive in nature. For the study area, the average rates of shoreline accretion and erosion are 1.05 m and 0.45 m per year, respectively. The study gives information on erosion and accretion near the Subarnarekha and Budhabalanga river estuaries, which will aid in the development of an adaptive shoreline management strategy and coastal vulnerability assessment.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641539","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}

{"title":"Hexavalent Chromium Adsorption on Adsorbent Derived From Biomass of Fabaceae Plant in Vietnam: Effect of Preparation Conditions on Equilibrium Adsorption Capacity","authors":"Thai Phuong Vu,&nbsp;Lam Thi Thanh Quyen,&nbsp;Nguyen Trung Hiep,&nbsp;Ta Thi Hoai Thu,&nbsp;Tran Tuyet Suong","doi":"10.1002/tqem.22353","DOIUrl":"https://doi.org/10.1002/tqem.22353","url":null,"abstract":"<div>\u0000 \u0000 <p>The present work is devoted to examining the potential of <i>Sesbania sesban</i> biochar produced through slow pyrolysis for 120 min at 300°C in removing hexavalent chromium from the aqueous phase. The physicochemical characteristics of biochar were analyzed utilizing a variety of analytical tools including SEM, BET, and FTIR. Results revealed that the biochar had a smooth surface, an even stacking pattern with a porous texture, a large BET surface area equal to 562 m²/g, and a pH_pzc of 6.9. The biochar efficiency in eliminating Cr (VI) was investigated through several variables, including biochar dosage (0.1–0.4 g), pH (2–8), initial chromium ion concentration (10–40 mg/L), and adsorption time (15–120) min. The results identified the best conditions for adsorbing Cr (VI): an initial concentration of 10 mg/L, an absorbent dosage of 0.3 g, a pH solution of 2, and a reaction time of 90 min. The experiment achieved a Cr (VI) removal efficiency of over 90% by applying these conditions. The adsorption isotherm data were analyzed and showed a strong correlation coefficient (<i>R</i>² = 0.985) for Langmuir monolayer model, in which the maximum adsorption capacity achieved was 5.3 mg/g. According to the kinetic investigation, the adsorption of Cr (VI) was adapted to a pseudo-second-order model having a high <i>R</i>² value of 0.998. These results demonstrate that <i>Sesbania sesban</i> biochar has excellent potential as a cost-effective and highly efficient adsorbent for removing hexavalent chromium and improving water quality.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641368","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}

{"title":"Toward Environmental Sustainability in Africa: The Impact of Financial Technology, Human Development, and Renewable Energy Consumption Across Income Groups","authors":"Remy Oben,&nbsp;Mehdi Seraj,&nbsp;Şerife Zihni Eyüpoğlu","doi":"10.1002/tqem.22347","DOIUrl":"https://doi.org/10.1002/tqem.22347","url":null,"abstract":"<div>\u0000 \u0000 <p>The United Nation's Sustainable Development Goal 13 (“Climate Action”) aims to address the issues of global warming and climate change, primarily caused by greenhouse gas emissions. This study examines the impacts of financial technology, human development, economic growth, and renewable energy consumption on environmental quality from 2013 to 2019 in African nations classified into different income groups. Using the method of moments quantile regression (MMQR) technique, results show that economic growth and human development (renewable energy consumption and financial technology) increase (decrease) carbon dioxide emissions in the long run. These imply that in the absence of sustainable practices, pursuing economic growth and human development could degrade the environment, while transitioning to renewable energy and promoting fintech could improve environmental quality. This study makes five major scientific contributions in terms of research question (unique combination of variables), sample (carbon emission-financial technology nexus in Africa), proxy for financial technology (“credit flows by fintech and big tech companies to GDP (%)”), MMQR estimation technique (for the first time in this context), and comparative analysis based on income-group classification. This study recommends the implementation of sustainable development frameworks, the adoption of green technologies, the transition from nonrenewable to renewable energy sources, the widespread education and awareness on environmental effects, and the encouragement of sustainable fintech solutions to help African countries attain sustainable economic growth and human development while reducing their carbon footprints.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641369","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}

{"title":"Impact of Nanoparticles Synthesized From Azadirachta indica (A. Juss) for Targeted Control of Malarial, Dengue, and Filariasis Vectors With Minimized Aquatic Toxicity","authors":"Perumal Vivekanandhan,&nbsp;Mansour I Almansour,&nbsp;Sulaiman Ali Alharbi,&nbsp;Mohammad Javed Ansari","doi":"10.1002/tqem.22348","DOIUrl":"https://doi.org/10.1002/tqem.22348","url":null,"abstract":"<div>\u0000 \u0000 <p>In the present study, biogenic silver nanoparticles (AgNPs) synthesized using <i>Azadirachta indica</i> leaf extract were evaluated for their toxic effects on both target and non-target species. The botanical synthesized nanoparticles were tested against <i>Anopheles stephensi</i>, <i>Aedes aegypti</i>, and <i>Culex quinquefasciatus</i> and non-targeted species <i>Artemia salina</i> and <i>Eudrilus eugeniae</i> at 24 h posttreatment. AgNPs were characterized using the following analytical techniques: UV-Vis spectroscopy, FT-IR, x-ray diffraction (XRD), energy-dispersive x-ray spectroscopy (EDX), and scanning electron microscope (SEM) analysis. Results showed that AgNPs caused larvicidal activity with 90.66% mortality in <i>An. stephensi</i>, 97.33% in <i>Ae. aegypti</i>, and 93.33% in <i>Cx. quinquefasciatus</i> at 24 h posttreatment. <i>A. indica</i>-derived AgNPs had lower LC₅₀ (lethal concentration 50) and LC₉₀ (lethal concentration 90) values of 44.803 and 252.886 ppm/mL in <i>An. stephensi</i>, 18.358 and 189.553 ppm/mL in <i>Ae. Aegypti</i>, and 36.492 and 219.800 ppm/mL in <i>Cx. quinquefasciatus</i>, respectively. Furthermore, AgNPs demonstrated lower toxicity effects with 50.66% mortality in <i>A. salina</i> and 38.66% mortality in <i>E. eugeniae</i> at 24 h posttreatment. Additionally, they exhibited lower LC₅₀ and LC₉₀ values of 240.996 and 533.618 ppm/mL in <i>A. salina</i> and 301.122 and 548.944 ppm/kg in <i>E. eugeniae</i> at 24 h posttreatment, respectively. The findings conclude that green-synthesized AgNPs from plants offer a promising, cost-effective, and target-specific alternative for eco-friendly mosquito larvicides. Future work should focus on developing these plant-based agents with minimal non-target toxicity to support sustainable pest control. Further research may explore large-scale applications and assess the long-term environmental impacts of AgNPs in integrated vector management programs.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598998","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}

{"title":"Unveiling Relationships: Enhancing Sustainability of Golpata (Nipa Palm) Through Socio-Ecological Systems Management in the Sundarbans Mangrove Forest","authors":"S. M. Nayem Ahasan,&nbsp;Md Ashik Ur Rahman","doi":"10.1002/tqem.22345","DOIUrl":"https://doi.org/10.1002/tqem.22345","url":null,"abstract":"<div>\u0000 \u0000 <p>This study explores the social-ecological dynamics of common pool resource (CPR) management in the Sundarbans mangrove forest in Bangladesh. We focus on golpata (<i>Nypa fruticans</i>), a vital CPR for local communities. A social-ecological systems (SESs) framework was employed to assess the relationships between social (actors and governance) and ecological (resource system and resource unit) dimensions and their influence on the sustainability of golpata management. Data on 12 variables and 24 indicators were collected within the Chadpai range of the Sundarbans. Results revealed both positive and negative relationships between the SES dimensions. Positive correlations were found between the resource system and resource unit, and between governance and both resource system and unit (albeit weaker). Conversely, negative correlations emerged between actors and both resource systems and units, suggesting a potential disconnect between community user practices and resource sustainability. Based on these findings, the study recommends four distinct management scenarios tailored to specific SES regions within the Sundarbans. These scenarios emphasize strengthening governance frameworks, enhancing stakeholder engagement, and implementing targeted ecological interventions to improve the sustainability of golpata resources. This research contributes to a deeper understanding of the social-ecological complexities of golpata management in the Sundarbans. The findings can inform policymakers in developing effective strategies for sustainable resource use and community livelihoods within this critical ecosystem.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579744","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}

{"title":"Erratum to “Heavy Metal Contamination in the Marine Environment of Pekalongan, Indonesia: Spatial Distribution and Hydrodynamic Modeling”","authors":"","doi":"10.1002/tqem.22329","DOIUrl":"https://doi.org/10.1002/tqem.22329","url":null,"abstract":"<p>Ismanto, A., Hadibarata, T., Widada, S., Atmodjo, W., Satriadi, A., Siagian, H., &amp; Safinatunnajah, N. (2023). Heavy Metal Contamination in the Marine Environment of Pekalongan, Indonesia: Spatial Distribution and Hydrodynamic Modeling. <i>Environmental Quality Management</i>, 00, 1–10. https://doi.org/10.1002/tqem.21978</p><p>In Section 3.3 advection-diffusion of copper (Cu) and chromium (Cr) concentrations, on the third sentence, the text “For each parameter, the average error (mean relative error) was 0.2844 mg/L for Cr and 0.35 mg/L for Cu.” was incorrect. This should have read: “For each parameter, the average error (mean relative error) was 0.2844% for Cr and 0.35% for Cu.”</p><p>We apologize for this error</p><p>In Exhibit 5A and B, the unit measurement was </p><p>This should have written: </p><p>We apologize for this error</p>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tqem.22329","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water Quality Analysis and Risk Assessment of Potential Toxic Elements in Selected Surface Water Around Mining Sites in Abuakwa South Municipal, Ghana","authors":"Douglas Siaw Baah,&nbsp;Lucy Amissah,&nbsp;Gordon Foli,&nbsp;Emmanuel Gikunoo,&nbsp;James Atambire","doi":"10.1002/tqem.22343","DOIUrl":"https://doi.org/10.1002/tqem.22343","url":null,"abstract":"<div>\u0000 \u0000 <p>Surface water quality at Abuakwa South Municipal has received threats from surrounding mining communities, which are becoming a major concern to the public. As a result, this study aimed to assess water quality by examining the concentration of lead (Pb), cadmium (Cd), and zinc (Zn) pollution in surface water. Fifteen samples were obtained from surface water using a 1.5 L plastic bottle. The mean concentrations of Pb and Cd were above WHO guidelines of 0.01 and 0.003 mg/l, respectively, except for Zn which was below the stipulated limit of 3.0 mg/l. The geochemical process model shows that Cd, Pb, and Zn are adsorbing (released from the drainage to the surrounding environment) in sites 1 and 3 whereas Pb is desorbing (added to the drainage) in site 2. A hazard quotient greater than 1 was recorded for Cd in adults through the ingestion route of exposure at all the sites. Cancer risk also shows that the inhabitants are at risk through the ingestion route of exposure. The findings of this study suggest intake of water draining within the vicinity is unsafe and poses severe health risks.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555432","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}

{"title":"Multivariate Analysis of Water Quality in the Seybouse River: Implications for Pollution Management","authors":"Kenz Raouf Samraoui,&nbsp;Mohamed Lyamine Chelaghmia,&nbsp;Boudjéma Samraoui","doi":"10.1002/tqem.22342","DOIUrl":"https://doi.org/10.1002/tqem.22342","url":null,"abstract":"<div>\u0000 \u0000 <p>Heavy metal contamination in water bodies is a pervasive and persistent environmental challenge in many parts of the world, especially in developing countries. This study investigates the use of multivariate analysis methods for monitoring variations in water quality along a spatial gradient and for the interpretation of pollution levels at different sampling sites. We assessed the water quality of the Seybouse River and identified possible sources of pollution using three complementary multivariate analysis techniques (PCA, NMDS, and K-means clustering). The results indicate a longitudinal gradient in water quality associated with industrial and agricultural activities in the middle and lower Seybouse River. Physico-chemical and heavy metal analyses show high water turbidity with elevated concentrations of iron and chromium. We show that the contamination stems from four different sources, which can be categorized into different pollution levels. Our results suggest that complementary multivariate methods are a robust approach to identifying and categorizing significant sources of pollution in rivers, enabling the development of future successful water quality management strategies based on water pollution levels. This study highlights the importance of monitoring water quality and taking effective measures to control and mitigate pollution from various sources to ensure the safety of the environment and human health.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"34 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555438","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}