Comparative study of sediment loading in sub-watersheds of Phewa Lake, Nepal DOI Open Access

Bikesh Jojiju,

Rajan Subedi

Journal of Geography and Cartography, Journal Year: 2023, Volume and Issue: 6(1), P. 2184 - 2184

Published: June 15, 2023

The present study assessed the potential of sediment loading in Beteni, Lauruk, Andheri, and Harpan sub-watersheds Phewa Lake estimated yield year 2020. Morphometry, land use/land cover, geology, climate, human development factors were studied to assess sub-watersheds. SRTM DEM was used for computation morphometric parameters cover maps prepared by using Landsat imagery. Geology, rainfall data, census road collected from various secondary sources. yields four 2020 measuring volume deposited retention ponds at outlet each sub-watershed. Results indicated that Beteni had highest loading, while lowest. Likewise, 1,420.67 m3/km2/year, 2,280.14 1,666.77 766.42 respectively. To reduce sedimentation Lake, it is recommended regularly maintain siltation dams construct check along drainage slopes, alongside other soil conservation measures appropriate use practices upstream areas

Language: Английский

Response of streamflow and sediment variability to cascade dam development and climate change in the Sai Gon Dong Nai River basin DOI
Binh Quang Nguyen, Đoàn Văn Bình, Thanh‐Nhan‐Duc Tran

et al.

Climate Dynamics, Journal Year: 2024, Volume and Issue: 62(8), P. 7997 - 8017

Published: July 5, 2024

Language: Английский

Citations

49

GIS-Based Geostatistical Techniques for Sedimentation Assessment Using USV Data: Case study Tuplang Reservoir, Uzbekistan DOI Open Access
Khojiakbar Khasanov, Masharif Bakiev

International Journal of Engineering and Geosciences, Journal Year: 2025, Volume and Issue: 10(2), P. 231 - 243

Published: Jan. 25, 2025

This study investigates the impact of sedimentation on storage capacity Tupalang Reservoir, located in Surkhandarya, Uzbekistan, over a period more than 30 years. Sedimentation poses significant challenge by gradually reducing reservoir capacity, affecting water availability for irrigation, hydropower, and drinking supply. In study, was evaluated using GIS-based geostatistical methods USV data reservoir. For bathymetric processing that collected 2023, four interpolation techniques—IDW, RBF, OK, EBK —were applied, with RBF demonstrating highest predictive accuracy. Results indicate loss 28.05 million cubic meters (Mm³), or 5.65% total volume, primarily dead zone between 830 m 890 above sea level. Using surveys conducted 2003, 2007, 2010, this research assesses changes volume identifies patterns. The findings highlight decline rates from 1.51 Mm³ per year early years to 0.3 after attributed effective management practices such as hydraulic washing. underscores importance proactive sediment strategies, including dredging traps, sustain functionality recommends ongoing monitoring advanced geospatial techniques

Language: Английский

Citations

1

Land use/land cover change impact on streamflow using Arc-SWAT model, in case of Fetam watershed, Abbay Basin, Ethiopia DOI Creative Commons

Yitbarek Andualem Mekonnen,

Temesgen Mekuriaw Manderso

Applied Water Science, Journal Year: 2023, Volume and Issue: 13(5)

Published: April 10, 2023

Abstract Changes in Land Use Cover (LULC) are currently one of the greatest pressing issues facing watershed, its hydrological properties soil, and water management catchment areas. One most important elements impacting streamflow watersheds is LULC change. The main objective this study was to evaluate effect future predication change on Fetam watershed by using Cellular Automata (CA)-Markov IDRISI software. To analyze impact land use/cover streamflow, Soil Water Assessment Tool (SWAT) calibration validation model used. map developed software, coverage LULCs including parameters cropland, vegetation, grassland, Built-up area/Urban body. findings showed that major challenges use/cove changes were rapid population increase, farming, industrial activity. During period (2000–2020), portions body, grassland changed into cropland constructed building. Cropland construction areas increased 15% 46.95%, respectively, whereas bodies, decreased 62.7%, 70.02%, 38.1%, respectively. According forecasted results for 2030–2040, built-up increased, while bodies . SWAT model's performance evaluated sensitive parameters. For years 2000–2004, 2005–2012, models calibrated validated, good agreement between observed simulated with NSE R 2 values 0.88 0.72 0.9 0.85, indicated seasonal from 2000 2010 2010–2020 during dry rainy seasons. In general, impacts significant considerations planning implementing resource projects. order address risks, effective land-use climate-resilient strategies will be improved.

Language: Английский

Citations

18

Sustainability and Multicriteria Decision-Making in Sediment Management in Hydropower Plants: A Systematic Literature Review DOI Creative Commons
Manuela Otálvaro Barco, José Alfredo Vásquez Paniagua, Jorge‐Andrés Polanco

et al.

SAGE Open, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 1, 2025

Sediment management in hydroelectric power plants has been mainly oriented by economic and technical aspects, unlike current approaches, which also recognize the importance of integrating social environmental aspects into decision-making. Consistent with this vision, concept corporate sustainability is proposed international literature as a perspective economic, environmental, dimensions are considered to guide organizations. This article aims analyze recent studies on sediment evaluate how being integrated decision-making processes management. For purpose, systematic review was conducted, its findings lead following conclusions: despite growing interest climate change literature, percentage publications that include three criteria for choosing alternatives low. In addition, it observed dimension still most relevant criterion techniques. Likewise, Multicriteria Decision-Making methods widely used selecting strategies reservoirs. cases have decisional process, Multi-Attribute Decision-Making.

Language: Английский

Citations

0

Estimation of siltation in Tuirial dam: a spatio-temporal analysis using GIS technique and bathymetry survey DOI
Imanuel Lawmchullova,

Ch. Udaya Bhaskara Rao

Journal of Sedimentary Environments, Journal Year: 2023, Volume and Issue: 9(1), P. 81 - 97

Published: Dec. 20, 2023

Language: Английский

Citations

8

Framework for reservoir sedimentation estimation using the hydrological model and campaign—A case study of A Vuong Reservoir in central Vietnam DOI Creative Commons
Binh Quang Nguyen, Sameh A. Kantoush, Ngoc Duong Vo

et al.

International Journal of Sediment Research, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

2

GPU Parallelization for the Enhancement of Reservoir Sediment Transport Modelling: An Application to the Riba-Roja Reservoir in Ebro River DOI
Danial Dehghan-Souraki, Ernest Bladé, Antonia Larese

et al.

Springer water, Journal Year: 2024, Volume and Issue: unknown, P. 499 - 511

Published: Jan. 1, 2024

Language: Английский

Citations

0

Reservoir Capacity and Sedimentation Assessment by Integrating Echo Sounding and Remote Sensing Techniques DOI
Mohammed Iqlash Sugarno, E. Arunbabu, A. Abdul Wahid

et al.

Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 4, 2024

Language: Английский

Citations

0

The Effect of Land Use Change on Runoff Using the SWAT Model in the Tajan Watershed DOI

hayede bayani,

Ali Bagheri,

Davod Akbari Nodehi

et al.

Tamāshāgarān., Journal Year: 2024, Volume and Issue: 15(2), P. 77 - 88

Published: Oct. 1, 2024

Language: Английский

Citations

0

Evolution of Sedimentation in a Headrace Canal for Hydroelectric Production Case of the Shongo Basin of the Inga Complex from February 2020 to May 2021 (Kongo Central Province/DR Congo) DOI Open Access

O Kawende Kalonda,

Ivon Ndala Tshiwis,

Boniface Mumbimb Atalatala

et al.

Journal of Geoscience and Environment Protection, Journal Year: 2023, Volume and Issue: 11(05), P. 404 - 426

Published: Jan. 1, 2023

The headrace of the Inga hydropower complex is experiencing siltation problems, reducing exploitable draft and limiting production capacity two main plants during low water period. During 2019 period, several sediment slumps occurred in Shongo basin, disrupting hydroelectric power generated by 1 & 2 plant, resulting massive load shedding supply to downstream customers. cardinal aim this study determine quantities sediments deposited those eroded, order know evolution sedimentation basin from February 2020 May 2021. results obtained show that running index turbines alternators groups determinant influences process basin. cleaning terms spatial distribution 2021 plausible.

Language: Английский

Citations

0