Optimizing sustainable development in arid river basins: A multi-objective approach to balancing water, energy, economy, carbon and ecology nexus

IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science and Ecotechnology Pub Date : 2024-09-04 DOI:10.1016/j.ese.2024.100481
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Abstract

The ongoing water crisis poses significant threats to the socioeconomic sustainability and ecological security of arid and semi-arid river basins. Achieving Sustainable Development Goals (SDGs) within a complex socio-ecological nexus requires effective and balanced resource management. However, due to the intricate interactions between human societies and environmental systems, the tradeoffs and synergies of different SDGs remain unclear, posing a substantial challenge for collaborative management of natural resources. Here we introduce a gray fractional multi-objective optimization (GFMOP) model to balance multi-dimensional SDGs through a novel water–energy–economy–carbon–ecology nexus perspective. The model was applied to a typical arid river basin in Northwest China, where thirty-two scenarios were explored, considering factors such as shared socioeconomic pathways, carbon removal rates, water conveyance efficiencies, and ecological requirements. The results reveal a strong tradeoff between marginal benefit and carbon emission intensity, indicating that improving the economic efficiency of water use can simultaneously reduce emissions and protect the environment. Given the immense power generation potential, wind power development should be prioritized in the future, with its share in the energy structure projected to increase to 23.3% by 2060. Furthermore, promoting carbon capture technologies and expanding grassland coverage are recommended to achieve regional carbon neutrality, contributing 39.5% and 49.1% to carbon absorption during 2021–2060, respectively. Compared with traditional single-objective models, GFMOP demonstrates a superiority in uncovering interrelationships among multiple SDGs and identifying compromised alternatives within the compound socio-ecological nexus. The model also provides detailed strategies for resource allocation and pollutant control, offering valuable guidance to policymakers and stakeholders in pursuing sustainable and harmonious watershed management.

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优化干旱河流流域的可持续发展:平衡水、能源、经济、碳和生态关系的多目标方法
当前的水危机对干旱和半干旱流域的社会经济可持续性和生态安全构成了重大威胁。要在复杂的社会生态关系中实现可持续发展目标(SDGs),就必须进行有效、平衡的资源管理。然而,由于人类社会与环境系统之间错综复杂的相互作用,不同可持续发展目标之间的权衡与协同作用仍不明确,这给自然资源的协同管理带来了巨大挑战。在此,我们引入了灰色分数多目标优化(GFMOP)模型,通过新颖的水-能源-经济-碳-生态关系视角来平衡多维可持续发展目标。该模型被应用于中国西北地区的一个典型干旱流域,考虑到共同的社会经济路径、碳去除率、输水效率和生态要求等因素,共探讨了 32 种方案。结果表明,边际效益与碳排放强度之间存在很强的权衡关系,这表明提高水资源利用的经济效益可以同时减少排放和保护环境。鉴于风力发电潜力巨大,未来应优先发展风力发电,预计到 2060 年,风力发电在能源结构中的比重将增至 23.3%。此外,为实现区域碳中和,建议推广碳捕集技术和扩大草地覆盖面,在 2021-2060 年期间分别为碳吸收做出 39.5% 和 49.1% 的贡献。与传统的单一目标模型相比,GFMOP 在揭示多个可持续发展目标之间的相互关系、确定复合社会生态关系中的折衷替代方案方面表现出了优势。该模型还提供了详细的资源分配和污染物控制策略,为政策制定者和利益相关者提供了宝贵的指导,以实现可持续的和谐流域管理。
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来源期刊
CiteScore
20.40
自引率
6.30%
发文量
11
审稿时长
18 days
期刊介绍: Environmental Science & Ecotechnology (ESE) is an international, open-access journal publishing original research in environmental science, engineering, ecotechnology, and related fields. Authors publishing in ESE can immediately, permanently, and freely share their work. They have license options and retain copyright. Published by Elsevier, ESE is co-organized by the Chinese Society for Environmental Sciences, Harbin Institute of Technology, and the Chinese Research Academy of Environmental Sciences, under the supervision of the China Association for Science and Technology.
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