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Processes
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Environmental Governance and Sustainable Development: Multipollutant Control and Resource-Energy Transition
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Environmental Governance and Sustainable Development: Multipollutant Control and Resource-Energy Transition

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 818

Special Issue Editors

Dr. Xiao Zhu

E-Mail Website
Guest Editor
School of Nuclear Science, Energy and Power Engineering, Shandong University, Jinan 250001, China
Interests: air pollution control; carbon capture, utilization and storage; environmental catalysis; energy conversion
Special Issues, Collections and Topics in MDPI journals
Dr. Yongqing Xu

E-Mail Website
Guest Editor
Institute of Molecular Plus, Tianjin University, Tianjin 300072, China
Interests: CO2 capture; calcium looping; hydrogen energy; chemical looping; oxy-fuel combustion; CO2 conversion
Special Issues, Collections and Topics in MDPI journals
Dr. Zehong Cheng

E-Mail Website
Guest Editor
Department of Mining Engineering, North China University of Science and Technology, Tangshan, China
Interests: CO2 utilization; carbon capture; solid waste utilization; mineral processing reagents
Dr. Bin Xu

E-Mail Website
Guest Editor Assistant
School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: carbon capture; mass transfer; chemical absorption

Special Issue Information

Dear Colleagues,

In the current era of rapid global development, the dual challenges of environmental degradation and resource-energy scarcity are becoming increasingly prominent. To address these issues, there is an urgent need to shift traditional modes of production and consumption in sustainable directions.

Achieving sustainable development requires the coordinated control of multiple pollutants and a transition to cleaner and more efficient resource-energy systems. Recent advancements in carbon capture, utilization, and storage (CCUS); the removal of trace heavy metal migration and transformation; river and lake ecological restoration technologies; environmental catalysis; low-carbon energy; and energy transition have provided new pathways for environmental governance.

This Special Issue will attract high-quality research and review papers that explore the frontiers of multipollutant control and resource-energy transition. Topics of interest include, but are not limited to, the following:

  • Carbon capture, utilization, and storage (CCUS);
  • Removal of trace heavy metal migration and transformation;
  • River and lake ecological restoration technologies;
  • Environmental catalysis;
  • Energy transition;
  • Low-carbon energy and comprehensive energy;
  • Power system and energy conservation.

We invite researchers and experts from around the world to contribute their original research findings and critical reviews to this Special Issue. Together, we can advance the frontiers of environmental governance and sustainable development.

Dr. Xiao Zhu
Dr. Yongqing Xu
Dr. Zehong Cheng
Guest Editors

Dr. Bin Xu
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • air pollution control
  • carbon capture, utilization and storage
  • environmental catalysis
  • energy conversion
  • mineral processing reagents

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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19 pages, 5918 KiB  
Article
Multidimensional Analysis of Phosphorus Release Processes from Reservoir Sediments and Implications for Water Quality and Safety
by Hang Zhang, Junqi Zhou, Teng Miao, Nianlai Zhou, Ting Yu, Yi Zhang, Chen He, Laiyin Shen, Chi Zhou and Yu Huang
Processes 2025, 13(8), 2495; https://doi.org/10.3390/pr13082495 - 7 Aug 2025
Viewed by 316
Abstract
Phosphorus (P) release from reservoir sediments critically influences water quality and ecosystem stability. This study analyzed surface sediments from four representative zones to investigate phosphorus fraction distribution, key influencing factors, and implications for water quality. Results showed that total phosphorus (TP) content in [...] Read more.
Phosphorus (P) release from reservoir sediments critically influences water quality and ecosystem stability. This study analyzed surface sediments from four representative zones to investigate phosphorus fraction distribution, key influencing factors, and implications for water quality. Results showed that total phosphorus (TP) content in sediments from main and tributary inflow zones was significantly higher than in open-water and transition zones. Inorganic phosphorus (IP) was the dominant form, with iron-bound phosphorus (Fe-P) accounting for 33.2–42.0% of IP. A strong correlation existed between P release and the Fe/P molar ratio; notably, when the ratio approached 10, phosphorus desorption increased significantly, indicating a shift from sink to source. Sediments with grain sizes <0.01 mm had the highest P release rates, suggesting particle size, Fe content, and hydrodynamics jointly regulate P mobilization. Using the Diffusive Gradients in Thin Films (DGT) technique, phosphorus release in inflow zones exceeded 1 g/m2 in all hydrological periods, contributing substantially to internal loading. Sediment-derived P primarily influenced bottom water, while surface water was more affected by external inputs. These findings highlight the spatial heterogeneity of P release and underscore the need for zone-specific management strategies in reservoir systems. Full article
(This article belongs to the Special Issue Environmental Governance and Sustainable Development: Multipollutant Control and Resource-Energy Transition)
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Review

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27 pages, 7152 KiB  
Review
Application of Large AI Models in Safety and Emergency Management of the Power Industry in China
by Wenxiang Guang, Yin Yuan, Shixin Huang, Fan Zhang, Jingyi Zhao and Fan Hu
Processes 2025, 13(8), 2569; https://doi.org/10.3390/pr13082569 - 14 Aug 2025
Viewed by 276
Abstract
Under the framework of the “dual-carbon” goals of China (“carbon peak” by 2030 and “carbon neutrality” by 2060), the escalating complexity of emerging power systems presents significant challenges to safety governance. Traditional management models are now confronting bottlenecks, notably in knowledge inheritance breakdown [...] Read more.
Under the framework of the “dual-carbon” goals of China (“carbon peak” by 2030 and “carbon neutrality” by 2060), the escalating complexity of emerging power systems presents significant challenges to safety governance. Traditional management models are now confronting bottlenecks, notably in knowledge inheritance breakdown and lagging risk prevention and control. This paper explores the application of large AI models in safety and emergency management in the power industry. Through core capabilities—such as natural language processing (NLP), knowledge reasoning, multimodal interaction, and auxiliary decision making—it achieves full-process optimization from data fusion to intelligent decision making. The study, anchored by 18 cases across five core scenarios, identifies three-dimensional challenges (including “soft”—dimension computing power, algorithm, and data bottlenecks; “hard”—dimension inspection equipment and wearable device constraints; and “risk”—dimension responsibility ambiguity, data bias accumulation, and model “hallucination” risks). It further outlines future directions for large-AI-model application innovation in power industry safety and management from a four-pronged outlook, covering technology, computing power, management, and macro-level perspectives. This work aims to provide theoretical and practical guidance for the industry’s shift from “passive response” to “intelligent proactive prevention”, leveraging quantified scenario-case analysis. Full article
(This article belongs to the Special Issue Environmental Governance and Sustainable Development: Multipollutant Control and Resource-Energy Transition)
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