Environment, Development and Sustainability最新文献

{"title":"Hamiltonian deep neural network technique optimized with lyrebird optimization algorithm for detecting and classifying power quality disturbances in PV combined DC microgrids system","authors":"S. Aslam,&nbsp;K. Vinod Kumar,&nbsp;T. Aravind Babu,&nbsp;P. Rajesh","doi":"10.1007/s10668-024-05514-4","DOIUrl":"10.1007/s10668-024-05514-4","url":null,"abstract":"<div><p>Power quality (PQ) disturbances in photovoltaic (PV) combined direct current (DC) microgrids are typically caused by fluctuations in solar irradiance, load changes, and switching events, leading to voltage sags, swells, and harmonic distortions. These disturbances negatively impact the stability and efficiency of the entire microgrid system. However, traditional methods for detecting and classifying these disturbances often struggle with high variability and noise in the data, making accurate identification challenging. Deep learning (DL) provides a robust solution, leveraging advanced algorithms to efficiently analyse complex patterns and improve the accuracy of disturbance detection and classification in power systems. In this manuscript, the Hamiltonian Deep Neural Network Technique Optimized With Lyrebird Optimization Algorithm for Detecting and Classifying Power Quality Disturbances in PV Combined DC Microgrids System (HDNN-LOA-DCPQD-PVMG). Initially, the input signal is gathered from the Power Quality Classification Dataset—2. The Vold Kalman Filter (VKF) is used to filter the actual signal from the noise signals. The pre-processed signals are fed to the feature extraction phase using General Synchro extracting Chirplet Transform (GSCT). Then, extracted features are fed to Hamiltonian Deep Neural Networks (HDNN) for effectively detecting and classifying the Power quality (PQ) disturbances as normal, voltage sag, voltage swell, transients and harmonics. Typically, HDNN does not provide ways for adapting optimization to find the ideal parameters for precise PQ disturbance detection and classification. Hence, the Lyrebird Optimization Algorithm (LOA) is proposed to optimize Hamiltonian Deep Neural Networks (HDNN) which accurately detect and classify PQ disturbances. The proposed technique is implemented in MATLAB, and the efficiency of the process is determined using a variety of performance metrics, such as F-measure, accuracy, recall, precision, and Kappa Statistics (KSs), mean absolute error (MAE), receiver operating characteristics (ROC), and root mean square error (RMSE). The proposed HDNN-LOA-DCPQD-PVMG method achieves 32.03%, 24.14% and 21.21% higher accuracy, 21.03%, 24.34% and 26.8% higher precision and 23.36%, 28.05% and 20.41% lower MAE when analyzed with existing methods such as a new deep learning method for the classification of power quality disturbances in hybrid power system (BOA-CNN-CPQD) and power quality detection and classification algorithm based on FDST and hyper-parameter tuned light-GBM using memetic firefly algorithm (LGBM-PQDC) and Classification of Power Quality Disturbances in Solar PV Integrated Power System Based on a Hybrid Deep Learning Approach (SVM-CPQD-PVPS)methods respectively.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27039 - 27062"},"PeriodicalIF":4.9,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Technological innovations in sewage treatment plants for sustainable landscape design","authors":"Abdulmoseen Segun Giwa,&nbsp;Nasir Ali,&nbsp;Halima Nihinlolawa Giwa,&nbsp;Habib Oluwasegun Giwa","doi":"10.1007/s10668-025-05993-z","DOIUrl":"10.1007/s10668-025-05993-z","url":null,"abstract":"<div><p>The applicable conditions and scope of the underground sewage treatment plant include a small amount of sewage, less available land on the ground, special requirements for the above-ground landscape, low groundwater level, easy-to-excavate geology, and the buried depth of the sewage return pipe is not very large. It is not under the main road, has a certain distance from residential buildings, is not a depression, does not accumulate rainwater, and the sewage discharge requirements are not very strict. The underground sewage treatment plants are suitable for construction in areas where thermal insulation needs to be considered, less requisitionable land area, and higher environmental requirements. The results of the underground landscape design study showed that the design of principles, features, styles, water ecologies, a combination between community friendly and ecologically friendly, operations and maintenance cost of the underground landscape should be emphasized. The construction of the ecological complex will lead the sewage treatment plant exchange from minus assets to ecological positive assets, which will meet the needs of future urban social economic development and environmental protection. The results of the development direction exploration study showed that innovation in the design concept, breakthroughs of key sewage treatment technology, and variation of investment and operation mode can reduce the land occupation investment and operation cost, and the underground sewage plant with large-scale and semi-underground mode owes broader prospects for development.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26957 - 26978"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Impact of corporate environmental responsibility on green innovation efficiency: evidence from Chinese a-share listed companies","authors":"Feng Wang,&nbsp;Xiaoxuan Bai,&nbsp;Yifan Zhang,&nbsp;Rui Ling,&nbsp;Hongfei Jiang","doi":"10.1007/s10668-025-06010-z","DOIUrl":"10.1007/s10668-025-06010-z","url":null,"abstract":"<div><p>Actively assuming environmental responsibility plays a crucial role in driving comprehensive sustainable development. In line with the requirements of the green transition, the purpose of this paper is to explore the impact of corporate environmental responsibility on green innovation efficiency employing a more comprehensive evaluation system. Moreover, the study provides guidance for enterprises to improve their green innovation capabilities. The research uses data of all Chinese A-share listed companies from 2007 to 2021. The results show that: (1) corporate environmental responsibility positively impacts green innovation efficiency in Chinese-listed companies; (2) environmental investment plays an intermediary role in the pathway through which corporate environmental responsibility affects green innovation efficiency; (3) financing constraints significantly weaken the positive correlation between corporate environmental responsibility and green innovation efficiency, particularly in non-state-owned enterprises, high-tech enterprises, and those with low institutional shareholding ratios. Overall, these outcomes are beneficial in motivating enterprises to actively assume environmental responsibility while guiding the government to provide more financing facilities for enterprises’ green governance and innovation initiatives, thereby promoting the enhancement of innovation capabilities.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26979 - 27005"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Spatial spillover heterogeneity and moderated effects of the digital economy on agricultural carbon emissions: evidence from 30 Chinese provinces","authors":"Zhen Guo,&nbsp;Chin Siong Ho,&nbsp;Gabriel Hoh Teck Ling,&nbsp;Mohamad Fadhli Rashid","doi":"10.1007/s10668-025-06013-w","DOIUrl":"10.1007/s10668-025-06013-w","url":null,"abstract":"<div><p>Agricultural carbon emissions, a significant source of greenhouse gases, threaten both food security and the ecological environment. The development of the digital economy presents new opportunities and pathways for reducing these emissions. This study employs a spatial econometric model to conduct an empirical analysis using panel data from 30 provinces in China. The findings reveal that: (1) The digital economy can significantly reduce agricultural carbon emissions. (2) Environmental governance and fiscal expenditure can strengthen the agricultural reduction effects of the digital economy. (3) Digital economy advancement in neighboring areas significantly reduces local agricultural carbon emissions, indicating a notable spatial spillover effect. (4) Increases in agricultural machinery levels, disaster-affected areas, and disposable income in neighboring regions contribute to higher local agricultural carbon emissions. (5) There is significant temporal and regional heterogeneity in both the direct and spatial spillover effects. Through spillover effect analysis, potential opportunities for cross-regional collaboration can be identified. Studying the moderating effects can provide a basis for building a long-term and stable carbon reduction mechanism.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"27007 - 27037"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Research on the impact and mechanism of ESG rating on enterprises’ green total factor productivity-based on staggered difference-in-differences model","authors":"Di Zhu,&nbsp;Chenzhi Zhu","doi":"10.1007/s10668-024-05814-9","DOIUrl":"10.1007/s10668-024-05814-9","url":null,"abstract":"<div><p>In the context of high-quality development, Chinese enterprises must reconcile environmental protection with their developmental goals, with the increase of green total factor productivity presenting a viable solution. The primary objective of ESG ratings is to guide businesses in effectively managing and integrating environmental, social, and corporate governance factors. To examine the tangible effects of these ratings on enterprise development, this paper constructs a Staggered Difference-in-Difference model, utilizing panel data from listed Chinese companies spanning 2009–2022. The present study investigates the impact of ESG ratings on green total factor productivity and the underlying mechanisms involved. The findings reveal that (1) ESG ratings significantly enhance enterprises' green total factor productivity; (2) Financing constraints and green technological innovation mediate the relationship between ESG ratings and productivity; (3) Heterogeneity analysis reveals that the positive impact of ESG ratings on green total factor productivity is particularly significant in small-scale enterprises, state-owned enterprises, highly indebted enterprises, and heavily polluting enterprises. These results provide valuable insights for enterprises aiming to make informed decisions and achieve sustainable green development.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26925 - 26955"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Balancing socioeconomic progress, renewable energy transition, and long-term environmental sustainability in fast-developing African nations","authors":"Frederick Kwame Yeboah,&nbsp;Cephas Paa Kwasi Coffie,&nbsp;Mukut Sikder,&nbsp;Michael Jordan Twumasi-Ankrah,&nbsp;Michael Asiedu Kumi,&nbsp;Kihumuro Jotham","doi":"10.1007/s10668-024-05671-6","DOIUrl":"10.1007/s10668-024-05671-6","url":null,"abstract":"<div><p>“Socio-economic growth and renewable energy development achievement is recognized as an integral component of the African Development Agenda 2060. However, evidence is limited on the potential long-term environmental impact of the ongoing socioeconomic and renewable energy transition in African nations and how to balance these core development components to achieve environmental sustainability goals. Therefore, this study examines the dynamic nexus between renewable energy consumption, socioeconomic progress, and long-term Environmental Deterioration (LED) in 19 fast-developing African economies by proposing an integrated regional and country-specific pathway for green socio-economic growth achievement in Africa. The Augmented Mean Group, Common Correlated Effects Mean Group estimator, and Granger causality tests are employed to examine key direct and indirect effects of socioeconomic indicators on LED based on 22 years (2000–2022) panel data. The results reveal that Human development, INSTQ, and FDI significantly reduce long-term environmental deterioration. However, there are disparities in impacts at the country level. GDP growth positively impacts LED in large African economies (i.e., Nigeria). FDI, REC, and TECH reduce LED in Angola, Cameroon, Tanzania, and South Africa. Thus, integrating strong institutions, renewable energy, and, Foreign direct investment (FDI) is vital for achieving long-term environmental sustainability in the selected economies. A nexus mitigation approach would have a far-reaching impact in spearheading Environmental Sustainability efforts in Africa.”</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26881 - 26904"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Integrating rainwater harvesting and organic soil amendment to enhance crop yield and soil nutrients in agroforestry","authors":"Yalembrhan Debebe,&nbsp;Ralf Otterpohl,&nbsp;Emiru Birhane","doi":"10.1007/s10668-024-05764-2","DOIUrl":"10.1007/s10668-024-05764-2","url":null,"abstract":"<div><p>More than 90% of rainfed croplands in Sub-Saharan Africa (SSA) are severely affected by highly intermittent rainfall and frequent drought limiting crop productivity in the region. Besides, 27.1% of the population in SSA are currently food insecure and this is likely to increase with the current rapid population growth in the region. Soil erosion and water scarcity remain to be the core problem affecting agricultural productivity of smallholder farming. In the current study, we analysed rainwater harvesting assisted small-scale agroforestry system in order to mitigate both soil erosion and water scarcity issues simultaneously. The system included in-situ rainwater harvesting, soil organic amendment (raw poultry litter, poultry litter biochar, wood ash) and an agroforestry system (AFS) containing maize, barley- <i>Eucalyptus globulu</i>s all intercropped in a holistic approach. The effect was evaluated on selected soil parameters and crop yield in a field experiment on a completely randomized design. The treatments were poultry litter (PWAFS), poultry litter biochar (BWAFS) wood ash (AWAFS) with supplementary irrigation (WAFS) and agroforestry system AFS (control). The first three treatments contained poultry litter, poultry litter biochar and wood ash along with rainwater harvesting respectively while the fourth treatment contained only rainwater harvesting. Besides, a control plot-AFS was assigned with neither rainwater harvesting nor soil organic resources. The result indicated that BWAFS increased the pH by 19.4% followed by AWAFS and PWAFS (9%). Maximum and minimum SOM (2.26%, 1.21%) were observed under BWAFS and the control (AFS) respectively. BWAFS significantly increased Av.P by 78.1% while WAFS increased by 40% compared to the control. Similarly, BWAFS and PWAFS had significant effect on maize yield with increase by 74% and 36% respectively. The study concluded that integrating rainwater harvesting and soil amendment with agroforestry systems can enhance crop yield and soil nutrient levels. Therefore, such agricultural practices should be adopted by smallholder farmers in areas with limited water and nutrients levels.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26905 - 26923"},"PeriodicalIF":4.9,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10668-024-05764-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the interactive coercing relationship between tourism and ecological environment: a case study in Kanto region, Japan","authors":"Yiming Liu,&nbsp;Jingyuan Li,&nbsp;Xinyue Zhan,&nbsp;Haoxiang Zhao,&nbsp;Liguo Wang,&nbsp;Sunhee Suk","doi":"10.1007/s10668-025-05980-4","DOIUrl":"10.1007/s10668-025-05980-4","url":null,"abstract":"<div><p>The Kanto area of Japan is the most prosperous and advanced in terms of economic development. It is essential for the development of tourism and ecological environment in the Kanto region to investigate the interactive coupling relationship that exists between tourism and the ecological environment in the region. In order to investigate the coordination influence and interaction coercion relationship that exists between the tourism industry and the environment, this paper builds a comprehensive evaluation index system for the tourism industry and the ecological environment. Panel data spanning the years 2010–2019 is utilized in order to provide this analysis. The following are the main findings of the study: From a time perspective, Tokyo leads the other six prefectures in the tourism industry, showing a relatively stable growth trend overall. The spatial distribution analysis reveals that the coupling and coordinated growth of tourism and ecological environment in the Kanto region follows a distinct attenuation pattern. The attenuation is relatively high in the southern part, comparatively low in the northern part, relatively high in the eastern part, and relatively low in the western part. The dual exponential function model verifies the reciprocal impact of the tourism industry and the ecological environment system. Regions with higher levels of tourism development have a later turning point, and when the turning point occurs, their tourism development level is also higher.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26813 - 26836"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

{"title":"Social aspects in the pathway towards the closure of a dumpsite: the case of Ngong (Kenya)","authors":"Francesca Villa,&nbsp;Sonia Maria Dias,&nbsp;Jane Bosibori Oteki Masese,&nbsp;Lewis Sitoki,&nbsp;Duncan Miheso,&nbsp;Mario Grosso","doi":"10.1007/s10668-024-05511-7","DOIUrl":"10.1007/s10668-024-05511-7","url":null,"abstract":"<div><p>Dumpsites are a common way for waste disposal around the world. Since their impact is not controlled, they represent a threat to the public health and to the environment, being a source of pollutants and greenhouse gases. The dumpsite of Ngong (Kajiado County, Kenya) has been addressed since years as a serious issue affecting the surrounding community. A project for its closure and the establishment of a new facility for waste treatment was elaborated in 2017, and recently the conversion of the dumpsite in a park has been proposed by the local authorities. Nonetheless, the framework appears still complex from the environmental, economic and social points of view: any intervention is expected to raise challenges for the municipal solid waste management (MSWM) system in place, which involves many stakeholders, including informal workers of the dumpsite. After presenting a general overview on the MSWM system in place at the time, this paper presents the results of the social assessment (SA) carried out in 2018, where some of the criticalities encountered by the local authorities at a later time were already predicted. In the opinion of the authors, the importance of qualitative and sociological research within a technological project is highlighted by the results of the SA, and the shared methodology can be helpful for practitioners on the field, whose support will enhance the capacity of stakeholders to deal successfully with challenges related to waste management.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26785 - 26811"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10668-024-05511-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of the impact of innovative polycentricity on carbon productivity: empirical data from China","authors":"Shengmei Hu,&nbsp;Hongbing Deng,&nbsp;Hongrui Jiao","doi":"10.1007/s10668-025-06000-1","DOIUrl":"10.1007/s10668-025-06000-1","url":null,"abstract":"<div><p>How can the growth potential of carbon productivity be released through the optimization of innovative spatial structure? Polycentricity serves as a valuable entry point for our study. From the perspective of structure-scale-benefit, this paper integrates innovative polycentricity, innovative scale, and carbon productivity into the same analytical framework. It empirically examines the impact of innovative polycentricity on carbon productivity and its pathways, and verifies the moderating role of innovative scale using Chinese provincial-level panel data from 2000 to 2020. The empirical results suggest that innovative polycentricity has a positive U-shaped effect on carbon productivity, with a short-term dampening effect and a long-term facilitating effect. This result remains consistent after the robustness test. Innovative polycentricity affects carbon productivity mainly through pathways that influence resource allocation and technological achievement commercialization. Innovative scale positively moderates the relationship between innovative polycentricity and carbon productivity. A larger innovative scale allows a region to reach the inflection point of polycentricity more quickly and maximize the long-term impact of innovative polycentricity on carbon productivity. This paper offers a new perspective for studying the low-carbon effects of innovation and has implications for the sustainable development of China and other countries.</p></div>","PeriodicalId":540,"journal":{"name":"Environment, Development and Sustainability","volume":"28 11","pages":"26837 - 26857"},"PeriodicalIF":4.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149310240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}