为确定工业用水适宜性制定可持续评估框架:透视水-能源-食品关系

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-07-17 DOI:10.1016/j.agsy.2024.104065
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引用次数: 0

摘要

背景水、能源和粮食系统在其开采、生产和利用的整个过程中,其安全性、稳定性和可持续性不断恶化,迫使水-能源-粮食关系面临系统资源竞争和不匹配以及环境污染等安全问题。因此,有必要采用以适宜性为重点的视角,对这些系统的可持续发展进行整体评估。基于适宜性内涵的资源供给、资源转换和环境影响,以及水是能源和食品工业的战略资源这一事实,水的适宜性对系统资源的可持续发展至关重要。因此,首要目标是说明能源和食品工业用水的适宜性和适宜性效应,以保障工业用水的可持续发展。方法基于哈肯模型,构建了以水系统为核心的适宜性可持续评估框架,并选择中国作为案例研究。在此基础上,运用水足迹理论和指标体系方法,结合水-能源-粮食关系的安全性、稳定性和可持续性等视角,对工业用水的适宜性效果进行了评价。结果与结论结果表明,2019年河北、山东、宁夏和新疆的适宜性较好,适宜性较差的省份为陕西、吉林和黑龙江,分别达到1.00、0.29和0.27。因此,哈肯模型确定了能源和粮食生产用水的阶次参数。利用该模型构建了多种情景,并提出了多维度的调整措施,以提高各产业间的资源适宜性。从 1997 年到 2019 年,所有省份的适宜性效果都得到了持续改善。意义适宜性评价可以区分水-能源-粮食系统之间的竞争程度和资源匹配程度,服务于工业生产的可持续管理。通过对能源与食品工业用水适宜性的分析,可优化工农业用水配置,保障资源安全,维护系统的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Developing a sustainable assessment framework for identifying industrial water suitability: Perspective on the water-energy-food nexus

CONTEXT

Water, energy, and food systems have been deteriorating in security, stability, and sustainability throughout their extraction, production, and utilization, forcing the water-energy-food nexus to face security issues such as competition and mismatch between the systems' resources and environmental pollution. Consequently, a holistic evaluation of sustainable development among these systems is necessary, employing a suitability-focused perspective.

OBJECTIVE

This study defined suitability connotation in terms of the internal and external environments of the water-energy-food nexus. Based on the resource supply, resource conversion, and environmental impact of the suitability connotation, plus the fact that water is a strategic resource for energy and food industries, water suitability is essential for the sustainable development of the system's resources. Hence, the primary goal is to illustrate the suitability and suitability effects of water use in energy and food industries, to guarantee the sustainable development of industrial water use.

METHODS

A sustainable assessment framework for suitability with the water system as the core was constructed based on the Haken model, and China was selected for a case study. On this basis, using the water footprint theory and index system method, the suitability effects of industrial water use were evaluated by adding the perspectives of security, stability, and sustainability of the water-energy-food nexus.

RESULTS AND CONCLUSIONS

The results showed that Hebei, Shandong, Ningxia, and Xinjiang had better suitability in 2019, and the provinces with poor suitability were Shaanxi, Jilin, and Heilongjiang, reaching 1.00, 0.29, and 0.27, respectively. Hence, the Haken model identified the order parameter of water use in energy and food production. The model was used to construct multiple scenarios, and multidimensional adjustment measures were proposed to improve resource suitability among industries. From 1997 to 2019, all provinces demonstrated a consistent improvement in suitability effects.

SIGNIFICANCE

The suitability assessment can differentiate the degree of competition and resource matching between water-energy-food systems and serve the sustainable management of industrial production. By analyzing the water suitability in energy and food industries, the adjustment measures can optimize the water allocation for agriculture and industry, guarantee the security of resources, and maintain the system's sustainable development.

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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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