Leveraging native species restoration and remote sensing techniques for large-scale dust mitigation enhancement

该提案旨在通过改善植被重建成果，并通过利用植被重建努力进一步提高当地生物多样性和文化价值，推进水电站库区的大规模降尘战略。我们的团队在大学研究人员，BC Hydro，环境行业合作伙伴和当地原住民社区之间建立了战略合作伙伴关系，以提供基于现有水库缓解计划和知识的跨学科和知情决策方法。专注于威利斯顿水库在不列颠哥伦比亚省，我们试图确定哪些植物物种能够提供最好的年内粉尘控制和年间土壤稳定性，物种选择过程中，优先考虑本地物种与当地社区的潜在文化价值。我们将使用实验室和温室试验来测试一系列潜在植物物种的生长速度和成功率，有和没有土壤改良剂，可能会改善恶劣的水库水位下降区的生长条件。实验室结果将指导威利斯顿水库的大规模现场试验。这些试验将穿越水位下降区复杂的地形地貌，允许根据位置和当地条件持续评估电厂性能变化。远程无人机方法将监测精细尺度的植被结果，并将其与地形和水位下降区位置重叠。这些数据将用于创建预测模型，针对整个下降区各个位置的最佳物种和处理建议。这些将直接为威利斯顿的实践提供信息，并将在BC Hydro和其他加拿大专业水电网络中共享。这些方法和过程代表了在全国水库系统中可推广的降尘方面的新发展。研究结果将加强沙尘暴的缓解，这对水库附近的许多社区构成重大健康风险，并将允许在创新的科学框架中将多种价值明确纳入正在进行的管理实践。

This proposal aims to advance large-scale dust mitigation strategies in hydroelectric reservoir sites through improved revegetation outcomes, and through leveraging revegetation efforts to additionally enhance local biodiversity and cultural values. Our team has developed a strategic partnership between university researchers, BC Hydro, environmental industry partners, and the local First Nations community to provide an interdisciplinary and stakeholder-informed approach for decision-making that builds on existing reservoir mitigation programs and knowledge. Focusing on the Williston Reservoir in British Columbia, we seek to determine which plant species are able to provide the best within-year dust control and between-year soil stability, with species selection processes that prioritize native species with potential cultural value to local communities. We will use lab and greenhouse trials to test growth rates and success of a range of potential plant species, with and without soil amendments that may enhance the growing conditions of the harsh reservoir drawdown zone. Lab results will guide large-scale field trials at Williston Reservoir. These trials will cross the complex topographic landscape of the drawdown zone, allowing continuous assessment of plant performance changes based on location and local conditions. Remote UAV methods will monitor fine-scale vegetation outcomes, and overlay them against topography and drawdown zone position. Together, the data will be used to create predictive models that target optimal species and treatment recommendations for individual locations across the drawdown zone. These will directly inform practices at Williston, and will be shared across BC Hydro and other Canadian professional hydroelectric networks. The methods and processes represent new developments in dust mitigation that are generalizable across the nationwide system of reservoirs. Results will enhance mitigation of dust storms, which pose a significant health risk for many communities near reservoir locations, and will allow explicit incorporation of multiple values into ongoing management practices in an innovative scientific framework.