Industrial Development Research Articles

Transboundary water resource management and sustainable development in the lancang-mekong river basin: an analysis of international water law

ABSTRACT The Lancang-Mekong River Basin stands as one of the most critical and complex transboundary basins globally, where the utilization and protection of water resources are paramount. This basin, linking China, Myanmar, Laos, Cambodia, Thailand, and Vietnam, is characterized by a dense population and rapid industrial and agricultural development, fostering frequent economic and cultural exchanges. Cooperative efforts in water resource utilization and protection among these countries lead to issues such as resource disputes, environmental pollution, and collaboration barriers. Since the six basin countries have not jointly joined any international convention on water resources development or protection, disputes have been resolved and cooperation promoted through existing inter-state cooperation mechanisms for many years. However, these mechanisms often fall short due to the lack of common guiding principles. Achieving sustainable water resource development in the Lancang-Mekong River Basin aligns with the national interests of the six countries. The basin states can establish a transboundary Environmental Impact Assessment system and a dispute settlement mechanism. Constructing a comprehensive Integrated Water Resource Management Cooperation Mechanism, rooted in the fundamental principles of international water law, is crucial for enhancing the level of international cooperation within the basin.

Ultraviolet technology application in urban water supply and wastewater treatment in China: Issues, challenges and future directions

This study thoroughly explores the application of Ultraviolet (UV) water treatment technology in urban wastewater treatment and water supply in China, highlighting its crucial role in enhancing water quality safety. UV technology, with its environmentally friendly and low-carbon characteristics, is deemed more in line with the demands of sustainable development compared to traditional chemical disinfection methods. The widespread application of UV technology in urban wastewater treatment in China, particularly in the context of urban sewage treatment, is examined. However, to better promote and apply UV technology, there is a need to deepen the understanding of this technology and its application among a broad base of users and design units. The importance of gaining in-depth knowledge about the performance of UV water treatment equipment, the design calculation basis, and operational considerations, as well as the ongoing development of relevant standards, is underscored to ensure that the equipment used in projects complies with engineering design and production requirements. Furthermore, the positive trend of UV technology in the field of advanced oxidation, indicating a promising trajectory for engineering applications, is pointed out. Regarding the prospects of industrial development, a thorough analysis is conducted in the article, emphasizing the necessity for all stakeholders to collaborate and adopt a multi-level approach to promote the sustainable development and application of UV water treatment technology. This collaborative effort is crucial for providing effective safeguards for China's environment, ecology, and human health.

URBANIZATION IN INDIA: AN EVALUATION FROM ENVIRONMENTAL PERSPECTIVES

Urbanization is a process taking place globally intertwined with economic development. Urbanization is a process that leads to the growth of cities due to industrialization and economic development, and that leads to urban- specific changes in specialization, labor division and human behaviors. Urbanization refers to general increase in population and the amount of industrialization of a settlement. The population is growing at the rate of about 17 million annually which means a staggering 45,000 births per day and 31 births per minutes. If the current trend continues, by the year 2050, India would have 1620 million populations. It includes increase in the number and extent of cities. It symbolizes the movement of people from rural to urban areas. Urbanization happens because of the increase in the extent and density of urban areas. The most emerging issues are climate changes, freshwater scarcity, deforestation, and fresh water pollution and population growth. Although it is impossible to restrict urbanization it has to be ensured that urbanization proceeds in the right path causing minimum impact on environment. KEYWORDS: Urbanization, Environmental, Growth, scarcity, deforestation

Research on the Application of Green Supply Chain Management: Based on SCOR Model

This paper takes Apple Inc. as the research object and explores the green supply chain management issues based on the SCOR model. By combining the SCOR model through the theoretical framework and the characteristics of Apple's supply chain, management practice suggestions are made to reveal Apple's green performance in terms of environment, resources, and social responsibility. The study results show that Apple performs better in green procurement and marketing, but is slightly inferior in green recycling storage, and transportation. This provides valuable ideas for Apple's subsequent industrial sustainable development strategy, as well as lessons and references for other companies and industries, helping to promote the green development of the entire supply chain industry. In the future, it will be a key area to continue in-depth research on promoting and optimizing green supply chain practices in different industries and enterprises of different sizes.

Detection of the lactic acid bacterial community in small scale white cheese processing facility using shotgun metagenomics and culturomics

This study aims to characterize lactic acid bacteria (LAB) community in small-scale white cheese processing facility highly favored by consumers. Shotgun metagenomics and culturomics based on MALDI-TOF MS approaches were employed. Samples from various production stages and equipment surfaces were collected. Dominant phyla in dairy and equipment samples were Firmicutes (63–70%) and Proteobacteria (84–89%), respectively. Lactococcus was the most abundant LAB genus across all samples, with Lactococcus lactis as dominant species followed by Streptococcus, Enterococcus, and Lactobacillus, indicating LAB community diversity contributing to product characteristics. Culturomics identified 12 LAB species, including Enterococcus faecalis and Lactobacillus delbrueckii. Metagenomics provided insights into microbial composition and dynamics in dairy environment, while culturomics identified specific LAB species. The combined approach offers a comprehensive view of dairy microbial communities, aiding industrial development by informing starter culture combinations for improved dairy products and processes.

The contribution of using Artificial Intelligence in the Sustainable Development

New strategies arising from the accessibility of internet and the growth of all types of digital technologies have allowed to major gains and improved the development of many sectors. Machine Learning is one of the prominent technologies of Artificial Intelligence that ensure the improvement of many sectors in the international economy and encourage the decision making at all levels. In other sides, the current demands for sustainable development have led to a pressing need to encourage more sustainable land use and industrial development to maintain quality of life. To this end, governments, through the word, have tried to achieve the objectives of the millennium within the framework of the Development Goals Sustainable (ODS). The adoption of the Machine Learning tools to achieve the Sustainable Development Goals seemed to provide a new directions, perspectives and opportunities for this realization. The present work seeks to investigate the adoption of a various ML techniques in the Sustainable Development. It allows discussing opportunities and challenges that ML gives for the realization of the Sustainable Development goals.

A combination of QTL mapping and genome-wide association study revealed the key gene for husk number in maize.

Two key genes Zm00001d021232 and Zm00001d048138 were identified by QTL mapping and GWAS. Additionally, they were verified to be significantly associated with maize husk number (HN) using gene-based association study. As a by-product of maize production, maize husk is an important industrial raw material. Husk layer number (HN) is an important trait that affects the yield of maize husk. However, the genetic mechanism underlying HN remains unclear. Herein, a total of 13 quantitative trait loci (QTL) controlling HN were identified in an IBM Syn 10 DH population across different locations. Among these, three QTL were individually repeatedly detected in at least two environments. Meanwhile, 26 unique single nucleotide polymorphisms (SNPs) were detected to be significantly (p < 2.15 × 10-6) associated with HN in an association pool. Of these SNPs, three were simultaneously detected across multiple environments or environments and best linear unbiased prediction (BLUP). We focused on these environment-stable and population-common genetic loci for excavating the candidate genes responsible for maize HN. Finally, 173 initial candidate genes were identified, of which 22 were involved in both multicellular organism development and single-multicellular organism process and thus confirmed as the candidate genes for HN. Gene-based association analyses revealed that the variants in four genes were significantly (p < 0.01/N) correlated with HN, of which Zm00001d021232 and Zm00001d048138 were highly expressed in husks and early developing ears among different maize tissues. Our study contributes to the understanding of genetic and molecular mechanisms of maize husk yield and industrial development in the future.

Model acetylcholinesterase‐Fc fusion glycoprotein biotechnology system for the manufacture of an organophosphorus toxicant bioscavenging countermeasure

AbstractOrganophosphate (OP) toxicants remain an active threat to public health and to warfighters in the military. Current countermeasures require near immediate administration following OP exposure and are reported to have controversial efficacies. Acetylcholinesterase (AChE) fused to the human immunoglobulin 1 (IgG1) Fc domain (AChE‐Fc) is a potential bioscavenger for OP toxicants, but a reproducible AChE‐Fc biomanufacturing strategy remains elusive. This report is the first to establish a comprehensive laboratory‐scale bioprocessing strategy that can reproducibly produce AChE‐Fc and AChE(W86A)‐Fc which is a mutated AChE protein with reduced enzymatic activity. Characterization studies revealed that AChE‐Fc and AChE(W86A)‐Fc are N‐glycosylated dimeric fusion glycoproteins but only AChE‐Fc had the capability to bind to paraoxon (a model OP). This AChE‐Fc fusion glycoprotein bioprocessing strategy can be leveraged during industrial biomanufacturing development, while the research‐grade AChE‐Fc proteins can be used to determine the potential clinical relevance of the countermeasure against OP toxicants.

Current Advances in the Functional Genes of Edible and Medicinal Fungi: Research Techniques, Functional Analysis, and Prospects.

Functional genes encode various biological functions required for the life activities of organisms. By analyzing the functional genes of edible and medicinal fungi, varieties of edible and medicinal fungi can be improved to enhance their agronomic traits, growth rates, and ability to withstand adversity, thereby increasing yield and quality and promoting industrial development. With the rapid development of functional gene research technology and the publication of many whole-genome sequences of edible and medicinal fungi, genes related to important biological traits have been mined, located, and functionally analyzed. This paper summarizes the advantages and disadvantages of different functional gene research techniques and application examples for edible and medicinal fungi; systematically reviews the research progress of functional genes of edible and medicinal fungi in biological processes such as mating type, mycelium and fruit growth and development, substrate utilization and nutrient transport, environmental response, and the synthesis and regulation of important active substances; and proposes future research directions for functional gene research for edible and medicinal fungi. The overall aim of this study was to provide a valuable reference for further promoting the molecular breeding of edible and medicinal fungi with high yield and quality and to promote the wide application of edible and medicinal fungi products in food, medicine, and industry.

Local insights into industrial nature-based solutions: A comparative study between Northwest China and New Zealand

In the global pursuit of sustainable urban development, this study explored public support for Nature-based Solutions (NbS) in urban industrial development, comparing Northwest China and New Zealand. Lanzhou residents exhibited a willingness to pay (WTP) USD 2.36 million for industrial NbS (INbS) and USD 3.18 million for Neighborhood NbS (NNbS), whereas Aucklanders' WTP was at USD 3.9 million and USD 9.8 million, respectively. The annual nonmarket values for Lanzhou's NNbS and INbS were 30.15 million and 6.65 million USD, and for Auckland, they were 80.14 million and 53.17 million USD, respectively. Aucklanders preferred housing near NbS areas, whereas Lanzhou residents chose locations close to workplaces, with age, gender, education, residency duration, and visit length significantly influencing NbS engagement. Middle-income and homeowner groups, especially middle-aged Lanzhou residents and Auckland bachelor graduates and employees, exhibited higher WTP for INbS and NNbS, with Lanzhou residents preferring WTP for stormwater wetlands of NNbS and Aucklanders favoring WTP for grass swales and permeable surfaces of INbS. Challenges in promoting INbS encompass costs and maintenance. Promoting INbS involves customized strategies for different demographics, legislative collaboration, pilot projects in disadvantaged areas, and aesthetic, demographic-specific designs. The public WTP for INbS underscores a preference for urban designs that are aesthetically pleasing, stress-reducing, and inclusive, reflecting wider societal goals.

Reconsidering the Long-Term Impacts of Digitalization, Industrialization, and Financial Development on Environmental Sustainability in GCC Countries

Gulf Cooperation Council (GCC) countries have faced environmental challenges in recent decades. This study aims to identify the contribution of digitalization, industrialization, and financial development to the ecological footprint (EF) in GCC countries between 2000 and 2021. The empirical investigation involves estimating the STochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model using the augmented mean group (AMG), common correlated effects mean group (CCEMG) and cross-sectionally augmented autoregressive distributed lag (CS-ARDL) estimators. The findings reveal the existence of long-term linkages between EF and the factors mentioned above. Furthermore, there is evidence that adopting digitalization and information and communication technologies (ICT) improves long-term environmental quality. In contrast, both industrialization and financial development exert detrimental effects on the environment. Finally, the JKS Granger non-causality test revealed that all variables, except financial development, predict environmental degradation in GCC countries. These findings can assist in formulating efficient strategies to reduce ecological degradation and achieve environmental sustainability in GCC countries.

Can innovative industrial clusters enhance urban economic resilience? A quasi-natural experiment based on an innovative pilot policy

Using data for 285 cities in China spanning the period from 2010 to 2019, we investigate the overall effect, heterogeneity, and mechanisms of industrial cluster development on urban economic resilience using the staggered difference-in-differences method (DID). Our study shows that innovative industrial clusters can improve local urban economic resilience and offer a cumulative learning effect, but increase economic vulnerability in neighboring cities. A heterogeneity analysis finds that piloting innovative industrial clusters has a more significant influence on economic resilience in more mature clusters, middle-labor-scale cities, areas with moderate economic development, and regions applying more artificial intelligence (AI) technology. An influencing mechanism analysis shows that piloting innovative industrial clusters mainly appears as a scale effect in the earlier stage of green finance development, while there is a network effect in the later stage, both of which promote economic resilience. This conclusion may serve as the foundation for more secure and sustainable growth in the global economy.

State capacity for green growth: Analyzing industrial policy in the Latin American lithium triangle

This research aims to explain the various policy failures observed in lithium policies across Latin America, demonstrating how the industrial development of mining activities ultimately depends on existing state capacities. The research conducts a detailed analysis of lithium policy in Chile, with Argentina and Bolivia serving as comparative cases, thereby increasing the validity of the results. The study utilizes a qualitative methodology that includes 31 interviews with key actors, a systematic review of the press, analysis of government documents, and non-participant observation of lithium forums. The findings highlight how different deficits in state capacity have varying impacts on the types of policy failures present in lithium policies. The analysis proposes various types of state capacity deficits and their link to policy failures, advancing the discussion of green industrial policies from a peripheral perspective.

Spatio–Temporal Dynamic Characteristics and Driving Mechanisms of Urban Compactness in Central China

As a result of rapid urbanization in China, the spatial restructuring of towns and cities has significantly impacted urban compactness. The study of the spatio–temporal characteristics and driving mechanisms of urban compactness in central China is a strategic imperative and conducive to promoting regional sustainable development that is based on easing the contradiction between land resource supply and demand and reducing energy consumption. Therefore, this study focused on 80 prefecture-level cities in central China, utilizing barycenter model and GTWR model, among others, to analyze the spatio–temporal evolution pattern of urban compactness from 2006 to 2020 and its driving factors, with the aim of uncovering the intrinsic mechanisms behind enhancing urban compactness in the area. The results show the follows: (1) The urban compactness in central China has generally shown an upward trend, with a pronounced spatial clustering around provincial capital cities and the spatial changes in compactness predominantly concentrated in the north–south direction. (2) Various factors have influenced urban compactness, where government intervention and population aggregation present as bi-directional driving factors, while the effective use of land resources and high-quality industrial development, among others, present as positive driving factors. The spatio–temporal heterogeneity and agglomeration features of each driving factor are significant. (3) Further analysis indicates that the effective use of land resources is the primary factor in enhancing urban compactness, followed by technology. Therefore, we should adhere to the concept of compact cities and gradually promote the compactness of cities in central China based on the impact of the driving factors.

Microplastic Human Dietary Uptake from 1990 to 2018 Grew across 109 Major Developing and Industrialized Countries but Can Be Halved by Plastic Debris Removal.

Microplastics (MPs), plastic particles smaller than 5 mm, are now a growing environmental and public health issue, as they are detected pervasively in freshwater and marine environments, ingested by organisms, and then enter the human body. Industrial development drives this environmental burden caused by MP formation and human uptake by elevating plastic pollution levels and shaping the domestic dietary structure. We map the MP human uptake across 109 global countries on five continents from 1990 to 2018, focusing on the world's major coastlines that are affected by plastic pollution that affects the United Nations' Sustainable Development Goals (SDGs): SDG 6 (Clean Water and Sanitation), SDG 14 (Life Below Water), and SDG 15 (Life on Land). Amid rapid industrial growth, Indonesia tops the global per capita MP dietary intake at 15 g monthly. In Asian, African, and American countries, including China and the United States, airborne and dietary MP uptake increased over 6-fold from 1990 to 2018. Eradicating 90% of global aquatic plastic debris can help decrease MP uptake by more than 48% in Southeast Asian countries that peak MP uptake. To reduce MP uptake and potential public health risks, governments in developing and industrialized countries in Asia, Europe, Africa, and North and South America should incentivize the removal of free plastic debris from freshwater and saltwater environments through advanced water treatment and effective solid waste management practices.

Distribution, sources and influencing factors of heavy metals in the Ledong Sea, South China Sea

The Ledong Sea Area is located on the southwest side of Hainan Island. In recent years, with the development of industrialization and urbanization, the problem of heavy metals in marine sediments has gradually become a global problem, and research on this topic is of great significance for nearshore environmental protection and coastal management. This paper analysed the heavy metal content of 97 surface sediments in the Ledong Sea, indicating unpolluted to moderately polluted and low to moderate risk. Cu, Zn, Hg, Pb, Cr, and Cd are highly correlated, with similar origins, and originate from rivers carrying industrial wastewater, domestic sewage, and weathered material from the parent rocks, which are subsequently redistributed under the action of ocean dynamics. The distribution of Hg is mainly influenced by feed and biological metabolites during the farming process. As originates from rivers carrying large amounts of agricultural pesticide and fertilizer residues.

Feammox bacterial biofilm formation in HFMB

Nitrogen pollution has been increasing with the development of industrialization. Consequently, the excessive deposition of reactive nitrogen in the environment has generated the loss of biodiversity and eutrophication of different ecosystems. In 2005, a Feammox process was discovered that anaerobically metabolizes ammonium. Feammox with the use of hollow fiber membrane bioreactors (HFMB), based on the formation of biofilms of bacterial communities, has emerged as a possible efficient and sustainable method for ammonium removal in environments with high iron concentrations. This work sought to study the possibility of implementing, at laboratory scale, an efficient method by evaluating the use of HFMB. Samples from an internal circulation reactor (IC) incubated in culture media for Feammox bacteria. The cultures were enriched in a batch reactor to evaluate growth conditions. Next, HFMB assembly was performed, and Feammox parameters were monitored. Also, conventional PCR and scanning electron microscopy (SEM) analysis were performed to characterize the bacterial communities associated with biofilm formation. The use of sodium acetate presented the best performance for Feammox activity. The HFMB operation showed an ammonium (NH4+) removal of 50%. SEM analysis of the fibers illustrated the formation of biofilm networks formed by bacteria, which were identified as Albidiferax ferrireducens, Geobacter spp, Ferrovum myxofaciens, Shewanella spp., and Anammox. Functional genes Archaea/Bacteria ammonia monooxygenase, nrxA, hzsB, nirS and nosZ were also identified. The implementation of HFMB Feammox could be used as a sustainable tool for the removal of ammonium from wastewater produced because of anthropogenic activities.

Acceleration mechanisms of energetic ion debris in laser-driven tin plasma EUV sources

Laser-driven tin plasmas are driving new-generation nanolithography as sources of extreme ultraviolet (EUV) radiation centered at 13.5 nm. A major challenge facing industrial EUV source development is predicting energetic ion debris produced during the plasma expansion that may damage the sensitive EUV channeling multilayer optics. Gaining a detailed understanding of the plasma dynamics and ion acceleration mechanisms in these sources could provide critical insights for designing debris mitigation strategies in future high-power EUV sources. We develop a fully kinetic model of tin-EUV sources using one-dimensional particle-in-cell simulations to study ion debris acceleration, which will be valuable for cross-validation of radiation-hydrodynamic simulations. An inverse-bremsstrahlung heating operator is used to model the interaction of a tin target with an Nd:YAG laser, and thermal conduction is included through a Monte Carlo Coulomb collision operator. While the large-scale evolution is in reasonable agreement with analogous hydrodynamic simulations, the significant timescale for collisional equilibration between electrons and ions allows for the development of prominent two-temperature features. A collimated flow of energetic ions is produced with a spectrum that is significantly enhanced at high energies compared to fluid simulations. The dominant acceleration mechanism is found to be a large-scale electric field supported mainly by the electron pressure gradient, which is enhanced in the kinetic simulations due to the increased electron temperature. We discuss the implications of these results for future modeling of tin-EUV sources and the development of debris mitigation schemes.

The impact of trans-provincial watershed eco-compensation policy on carbon emissions: Evidence from China

To manage transboundary pollution, China has promoted trans-provincial watershed eco-compensation (WEC), which is a market-oriented policy that adjusts ecological and economic interests between upstream and downstream areas and promotes regional green and low-carbon transformation. Hence, a reasonable evaluation of the carbon emission reduction effect of WEC is of great value for achieving green transformation. Using data from Chinese counties between 2003 and 2020, we consider 11 trans-provincial WEC agreements and evaluate their influence on carbon emissions. We find that trans-provincial WEC policies reduce water pollution emissions and significantly lower carbon emission levels. Mechanism tests show that the policy reduces carbon emissions by limiting polluting industrial development and stimulating low-carbon technological innovations. Moreover, this policy improves regional low-carbon economic development, and there are significant heterogeneity effects of the WEC in different regions and compensation modes. This research provides new insights for transitional countries to design green transformation policies.

A PCB image segmentation model based on rotational X-ray computed laminography imaging.

The rapid development of industrialization in printed circuit board (PCB) warrants more complexity and integrity, which entails an essential procedure of PCB inspection. X-ray computed laminography (CL) enables inspection of arbitrary regions for large-sized flat objects with high resolution. PCB inspection based on CL imaging is worthy of exploration. This work aims to extract PCB circuit layer information based on CL imaging through image segmentation technique. In this work, an effective and applicable segmentation model for PCB CL images is established for the first time. The model comprises two components, with one integrating edge diffusion and l0 smoothing to filter CL images with aliasing artifacts, and the other being the fuzzy energy-based active contour model driven by local pre-fitting energy to segment the filtered images. The proposed model is able to suppress aliasing artifacts in the PCB CL images and has good performance on images of different circuit layers. Results of the simulation experiment reveal that the method is capable of accurate segmentation under ideal scanning condition. Testing of different PCBs and comparison of different segmentation methods authenticate the applicability and superiority of the model.