Water area and volume calculation of two reservoirs in Central Cuba using Remote Sensing Methods. A new perspective

Author:

Valero-Jorge Alexey,González-De Zayas Roberto,Alcántara-Martín Anamaris,Álvarez-Taboada Flor,Matos-Pupo Felipe,Brown-Manrique Oscar

Abstract

The availability, quality and management of water constitute essential activities of national, regional and local governments and authorities. Historic annual rain (between 1961 and 2020) in Chambas River Basin (Central Cuba) was evaluated. Two remote sensing methods (Normalized Difference Water Index and RADAR images) were used to calculate the variation of water area and volumes of two reservoirs (Chambas II and Cañada Blanca) of Ciego de Ávila Province at end of wet and dry seasons from 2014-2021. The results showed that mean annual rain was 1330.9 ± 287.4 mm and it did not showed any significant tendency at evaluated period. For both reservoirs, mean water areas measured with two methods were 19 % and 8 % smaller than the mean water area reported by authorities for the same period. The static water storage capacity (water volume) of both reservoirs varied (as area) between seasons with the greatest volume in both reservoirs recorded in October of 2017 (30.5 million of m3 in Chambas II and 45.1 million of m3 in Cañada Blanca reservoir). Large deviations of water area and volumes occurred during the dry season (lower values) and the wet season of 2017 (influenced by rain associated to of Hurricane Irma) and wet season of 2020 (influenced by rain associated to tropical storm Laura). Calculated area – volume models with significant statistical correlation are another useful tool that could be used to improve water management in terms of accuracy and to increase reliable results in cases where gauge measurements are scarce or not available.

Publisher

Universitat Politecnica de Valencia

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Reference56 articles.

1. Adediji, A., Ajibade, L.T. 2008. The change detection of major dams in Osun State, Nigeria using remote sensing (RS) and GIS techniques. Journal of Geography and Regional Planning, 1(6), 110-115.

2. Aguilar, C., Zinnert, J.C., Polo, M.J., Young, D.R. 2012. NDVI as an indicator for changes in water availability to woody vegetation. Ecological Indicators, 23, 290-300. https://doi.org/10.1016/j.ecolind.2012.04.008

3. Alarcón, D. 2021. Análisis de la disminución del cuerpo de agua de la laguna de Aculeo utilizando imágenes de radar de Sentinel -1A/1B y de Global Surface Water Explorer. Revista Cartógrafo, 1(1), 5-14.

4. Batista Silva, J.L. 2016. Evaluación de los recursos hídricos de Cuba. Revista Geográfica, 157, 73-83.

5. Chuvieco, E. 2008. Teledetección ambiental, la observación de la Tierra desde el espacio. 3ª edición. Editorial Ariel, Barcelona, España.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3