College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Scottsville, South Africa.
School of Biology and Environmental Sciences, Faculty of Agriculture and Natural Sciences, University of Mpumalanga, Nelspruit, South Africa.
Integr Environ Assess Manag. 2021 Jan;17(1):110-130. doi: 10.1002/ieam.4356. Epub 2020 Dec 3.
In developing regions of the world, valuable and vulnerable water resources are being used excessively. Through water resource development, multiple water quality, flow, and other stressors threaten the sustainable use and protection of these resources. Few attempts have been made to evaluate the synergistic effects of multiple water quality and flow stressors to socioecological attributes of systems that we care about in integrated water resource management. Regional scale ecological risk assessments evaluate the probable negative effects of multiple stressors, affecting dynamic ecosystems on multiple spatial scales. The present study demonstrates how multiple water quality, flow, and other stressors that cumulatively affect the sustainability of the lower Thukela River, South Africa, can be evaluated using the relative risk model, Bayesian network (RRM-BN) approach. This risk assessment facilitated the establishment of minimum water quality and flow requirements to maintain the sustainability of this system and make water resource use and protection trade-off decisions. In this case study, the risk of 10 water resources use and protection scenarios were evaluated in a regional scale ecological risk assessment of the socioecological attributes of the lower Thukela River. In addition we evaluated the consequences associated with these scenarios based on risk pathways of multiple sources, stressors, and receptors to endpoints that represent the sustainable vision of multiple stakeholders of the system. The outcomes of the present study have contributed to new evidence to improve the water resource use efficiency and protect important resources of the lower Thukela River, to ensure sustainability. Integr Environ Assess Manag 2021;17:110-130. © 2020 SETAC.
在世界的发展中地区,宝贵而脆弱的水资源正被过度使用。通过水资源开发,多种水质、流量和其他压力源威胁着这些资源的可持续利用和保护。在综合水资源管理中,我们很少尝试评估多种水质和流量压力源对我们关心的系统社会生态属性的协同效应。区域尺度生态风险评估评估了多种压力源对动态生态系统的可能负面影响,这些压力源影响了多个空间尺度。本研究展示了如何使用相对风险模型(RRM)-贝叶斯网络(BN)方法评估累积影响下塔夸拉低地河(南非)可持续性的多种水质、流量和其他压力源。这种风险评估有助于建立最低水质和流量要求,以维持该系统的可持续性,并做出水资源利用和保护的权衡决策。在这个案例研究中,在对下塔夸拉河社会生态属性的区域尺度生态风险评估中,评估了 10 种水资源利用和保护情景的风险。此外,我们还根据多个源、压力源和受体的风险途径以及代表系统多个利益相关者可持续愿景的终点,评估了与这些情景相关的后果。本研究的结果为提高下塔夸拉河水资源利用效率和保护重要资源以确保可持续性提供了新的证据。《综合环境评估与管理》2021 年;17:110-130。©2020 SETAC。