Assessing the Long-Term Production of Suspended Sediment and the Climate Changes Impact on Its Deposition in Artificial Lakes—A Case Study of Lake Trakošćan, Croatia

Author:

Oskoruš Dijana1,Leskovar Karlo1ORCID,Pavlić Krešimir2ORCID,Tošić Igor3

Affiliation:

1. Faculty of Geotechnical Engineering, University of Zagreb, Hallerova al. 7, 42000 Varaždin, Croatia

2. Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, Pierottieva 6, 10000 Zagreb, Croatia

3. Hrvatske Vode, Međimurska ul. 26B, 42000 Varaždin, Croatia

Abstract

A prevalent engineering task in practice is calculating the annual balance of sediments on some watercourses. This is particularly challenging when assessing the backfilling of river reservoirs that have a multifunctional purpose. Trakošćan Lake was built in the period from 1850 to 1862 as a pond and landscape addition to the park and Trakošćan castle. After 60 years, the lake was drained in 2022, and the work began on sediment excavation to improve the lake’s ecological condition due to about 200,000 cubic meters of deposited silt in the lake. In this research, the annual sediment production is calculated for the long-term period 1961–2020, based on empirical parametric methods (Fleming, Brunne). The results are compared with results from previous projects and recent sediment deposit investigations. Since there are no changes in LC/LU on this natural catchment, the decreasing trends in long-term sediment transport were compared with meteorological values, daily rainfall, and snow days. It is concluded that the intensity characteristics of the rainfall should be investigated more in detail and could provide much more tangible information regarding climate change impacts. Some targets for future monitoring design and research techniques are set.

Publisher

MDPI AG

Subject

Atmospheric Science

Reference33 articles.

1. Old, G., and Lofts, S. (2022). Integrated Sediment Management: Guidelines and Good Practices in the Context of the Water Framework Directive [Draft], Available online: https://environment.ec.europa.eu/system/files/2022-09/CISdocumentsedimentfinalTO_BE_PUBLISHED_1430554724.pdf.

2. Lake Level Prediction using Feed Forward and Recurrent Neural Networks;Hrnjica;Water Resour. Manag.,2019

3. Impacts of climatic change on water and associated economic activities in the Swiss Alps;Beniston;J. Hydrol.,2012

4. The threat of alluviation of lakes resulting from torrents (case study: Lake volvi, North Greece);Stefanidis;Int. J. Sustain. Dev. Plan.,2011

5. Response of soil erosion in a mountainous catchment to temperature and precipitation trends;Stefanidis;Carpathian J. Earth Environ. Sci.,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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