摘要：由中国科学院主管，中国科学院生态环境研究中心和中国长江三峡集团有限公司联合主办，中国城市科学研究会水环境与水生态分会协办的中国科技期刊卓越行动计划高起点新刊《水与生态（英文）》（Water & Ecology，缩写W&E，E-ISSN 3050 4724）创刊
由中国科学院主管，中国科学院生态环境研究中心和中国长江三峡集团有限公司联合主办，中国城市科学研究会水环境与水生态分会协办的中国科技期刊卓越行动计划高起点新刊《水与生态（英文）》（Water & Ecology，缩写W&E，E-ISSN 3050 4724）创刊号已有4篇文章陆续上线ScienceDirect平台（https://www.sciencedirect.com/journal/water-and-ecology），请您扫描下面二维码先睹为快。已上线的论文包括1篇综述(Review)，2篇研究论文(Research Article)及1篇展望(Perspective)。
Article 1
实施水生态评价的意义与启示
Significance and Enlightenment of Implementing Water Ecological Assessment
责任作者 曲久辉院士
中国科学院生态环境研究中心
Highlights
1. Water ecological assessment faces human-induced and naturally occurring challenges.
2. The evolution, indicators, changes, difficulties, enlightenment and outlook were studied.
3. Indicators refer to hydrology, water quality, habitats, organisms, and ecological services.
4. The unification, integration, standardization, and sustainability are suggested being enhanced.
扫码访问文章页面
Citation: Qu J H, Peng J F. Significance and enlightenment of implementing water ecological assessment. Water & Ecology 2025; 1(1): 100002.
DOI: 10.1016/j.wateco.2025.100002.
CSTR: 32398.14.j.wateco.2025.100002.
Article 2
微生物通过调节代谢互养巧妙适应长江复杂多变地形
Adjustable Microbial Cross-feedings Adapt toLandforms in the Yangtze River
责任作者 刘思彤研究员
北京大学环境科学与工程学院，生态环境部河流全物质通量重点实验室
Highlights
1. Metabolic cross-feedings are more extensive than that inferred from functional complementarity.
2. Comammox Nitrospira is an amino acid donor in plain region and a recipient in mountain-foothill region.
3. Aggregation benefits comammox Nitrospira with metabolic deficiencies to absorb metabolites from others to increase their survival capacity.
4. Cross-feedings are important in the microbial community assembly and nitrogen cycling in the Yangtze River.
扫码访问文章页面
Citation: Feng Y M, Zhao Y P, Wu X G et al. Adjustable microbial cross-feedings adapt to landforms in the Yangtze River. Water & Ecology 2025; 1(1): 100004.
DOI: 10.1016/j.wateco.2025.100004.
CSTR: 32398.14.j.wateco.2025.100004.
Article 3
长江流域水生态格局百年演变与系统治理策略
Evolution Patterns of Water Ecology and Systematic Governance in the Yangtze River Basin
责任作者 王殿常 正高级工程师
长江经济带生态环境国家工程研究中心主任，长江生态环保集团党委书记、董事长
文章简介
以过去百年为时间尺度视角，从多个维度揭示长江流域水生态格局演变特征，在“社会-生态系统”理论框架下，定量识别长江流域水生态格局不同演变阶段及其驱动机制，提出新时期面向人与自然和谐共生的水系统治理策略，为统筹推进长江流域高水平和保护高质量发展提供参考建议。
Abstract
In this study, we propose a theoretical analysis framework of SES as a guidance to understand the water ecology pattern evolution over the past century in the Yangtze River Basin, one of the most densely populated and intensively developed large river basin on Earth. The evolutionary characteristics of the water ecology pattern in the Yangtze River Basin are quantitatively analyzed from multiple aspects. Then, the regime shifts of the water ecology pattern evolution in the Yangtze River Basin are identified based on the change of interactions between system components, and the driven mechanisms of each evolutionary stage were revealed. Moreover, governance strategies are proposed for the water system in the Yangtze River Basin in the new era, with the purpose of achieving harmonious coexistence between humans and nature. These strategies provide support for promoting overall high-quality development and high-level protection in the Yangtze River Basin, as well as offering a paradigm reference for major river protection worldwide.
扫码访问文章页面
Citation: Wang D C, Li W, Xu Xingya et al. Evolution patterns of water ecology and systematic governance in the Yangtze River Basin. Water & Ecology 2025; 1(1): 100001.
DOI: 10.1016/j.wateco.2025.100001.
CSTR: 32398.14.j.wateco.2025.100001.
Article 4
机理-数据双驱动工业园区水碳协同控制研究进展及面临挑战
Mechanism-data Dual-driven Research Framework for Whole-process Water Conservation and Carbon Emission Reduction within Industrial Parks
责任作者 曹宏斌研究员
中国科学院过程工程研究所
文章简介
如何在成本可控的前提下实现可持续的水-碳协同控制，是中国工业正面临的挑战之一。本研究提出一种机理-数据双驱动研究框架，通过多尺度智能建模与优化算法，实现工业园区水网络与碳排放的协同优化。该框架已在鞍钢、邯钢等重工业园成功应用，为企业实现成本可控的节水减排提供了可落地的技术方案。
Abstract
Chinese industrial sector is currently facing the challenge of achieving an optimal balance among water conservation, carbon emission reduction, and aquatic ecosystem preservation at a manageable or minimal cost. To address this challenge, a mechanism-data dual-driven research framework is presented in this work. Firstly, based on a deep understanding of the mechanisms underlying typical water-use, wastewater treatment and reuse processes within industrial parks, a hybrid modeling approach was adopted to describe these processes and their associated carbon emission behaviors. Secondly, a superstructure optimization model specifically tailored for water-carbon-economy nexus problem was formulated. By solving the obtained optimization model, the optimal technical pathway for simultaneous water conservation and carbon emission reduction at a minimum water-use cost can be identified. It provides valuable information to support the decision-making about water network optimization within industrial parks. Our case studies demonstrate that this research framework can successfully describe the complex water network configuration, water related operations, and their carbon emission behaviors within industrial parks. Therefore, the framework can provide a solution which balances local and overall benefits, as well as economic benefits and environmental impacts.
扫码访问文章页面
Citation: Zhao Y H, Cao H B. Mechanism-data dual-driven research framework for whole-process water conservation and carbon emission reduction within industrial parks. Water & Ecology 2025; 1(1): 100003.
DOI: 10.1016/j.wateco.2025.100003.
CSTR: 32398.14.j.wateco.2025.100003.
来源：科创中国
