Utility of geospatial techniques in estimating dam water levels: insights from the Katrivier Dam

IF 1 4区 环境科学与生态学 Q4 WATER RESOURCES
Sisipho Ngebe, Kasongo Benjamin Malunda, Anja du Plessis
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Abstract

To achieve informed integrated water resource management and sustainability, an understanding of the quantity of water available for use within a spatial and temporal context is needed. This study was consequently focused on the estimation of water levels with the use of geospatial techniques. The availability of water data is a significant challenge, especially for smaller dams used by farmers. The lack of consistent water data in turn poses a problem by limiting the estimation of the overall water availability in water strategy models. This challenge is attributed to the cost of modeling all available water resources and the lack of complete records of all available water resources, as some small dams are not officially registered. This paper provides a simple protocol that can be implemented to reliably derive water levels for dams that are yet to be registered or accounted for, using the Katrivier Dam as a case study. Three main datasets were used which enabled the calculation of water levels – a 12.5 m digital elevation model, Sentinel-2 optical images, and water data from the Department of Water and Sanitation (DWS), as in-situ data. The resulting water level values were derived using a proposed model that includes two correction factors, k and s. The results obtained showed that the estimated water levels from the model proposed in this paper are analogous with those observed by the DWS. Therefore, the proposed method can serve as an additional cost-effective method in water accounting procedures as it requires less expensive equipment than alternatives such as bathymetric methods.
地理空间技术在估算大坝水位中的应用:来自卡特里维尔大坝的见解
为了实现明智的综合水资源管理和可持续性,需要了解在空间和时间范围内可供使用的水量。因此,这项研究的重点是利用地理空间技术估计水位。水资源数据的可用性是一个重大挑战,特别是对农民使用的小型水坝而言。缺乏一致的水数据反过来又造成了一个问题,限制了在水战略模型中对总的可用水量的估计。这一挑战是由于所有可用水资源建模的成本和缺乏所有可用水资源的完整记录,因为一些小水坝没有正式登记。本文以卡特里维尔大坝为例,提供了一个简单的协议,可以实现可靠地获得尚未登记或核算的大坝的水位。使用了三个主要数据集来计算水位——12.5米数字高程模型、Sentinel-2光学图像和水和卫生部门(DWS)的水数据作为原位数据。利用包含两个校正因子k和s的模型推导出的水位值。结果表明,本文模型估计的水位与DWS观测到的水位相似。因此,所建议的方法可以作为水会计程序中另一种具有成本效益的方法,因为它所需的设备比其他替代方法(如测深法)更便宜。
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来源期刊
Water SA
Water SA 环境科学-水资源
CiteScore
2.80
自引率
6.70%
发文量
46
审稿时长
18-36 weeks
期刊介绍: WaterSA publishes refereed, original work in all branches of water science, technology and engineering. This includes water resources development; the hydrological cycle; surface hydrology; geohydrology and hydrometeorology; limnology; salinisation; treatment and management of municipal and industrial water and wastewater; treatment and disposal of sewage sludge; environmental pollution control; water quality and treatment; aquaculture in terms of its impact on the water resource; agricultural water science; etc. Water SA is the WRC’s accredited scientific journal which contains original research articles and review articles on all aspects of water science, technology, engineering and policy. Water SA has been in publication since 1975 and includes articles from both local and international authors. The journal is issued quarterly (4 editions per year).
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