Comment on essd-2024-441 DOI Creative Commons

Published: Nov. 24, 2024

Abstract. The recent surge in reservoir construction has increased global surface water storage, with Mainland Southeast Asia (MSEA) being a significant hotspot. Such infrastructural evolution demands updates management strategies and hydrological models. However, information on actual storage is hard to acquire, especially for transboundary river basins. To date, no high spatio-temporal dataset absolute time series available reservoirs MSEA. address this gap, we present (1) comprehensive, open-access database of (sub-monthly) 185 (larger than 0.1 km3) MSEA spanning the period 1985–2023, (2) an analysis dynamics. MSEA-Res includes static (Area-Elevation-Storage curves, frequency, extent) dynamic (area, level, series) components each reservoir. collectively store around 175 km³ (140 – 210 km³) water, covering aggregated area 8,700 km² (6,500 10,000 km²). We show that combined average from 70 160 (+130 %) 2008 2017, primarily contributed by dams Irrawaddy, Red, Upper Mekong, Lower Mekong Our in-situ validation provides good match between estimated observations, 60 % sites (12 out 20) showing R² > 0.65 nRMSE < 15 %. indirect (based altimetry-converted storage) shows even better results, 0.7 12 (14 reservoirs. Furthermore, 2019–2020 drought event reveals nearly 30–40 region experienced more five months drought, most impact Cambodia Thailand. As result, departures ranged up -40 some reservoirs, highlighting impacts availability. Overall, demonstrates potential inferred assessing real-life water-related problems Asia, possibility applications other parts world. associated Python code are publicly Zenodo at https://doi.org/10.5281/zenodo.12787699 (Mahto et al., 2024).

Language: Английский

Improving Satellite-Derived Bathymetry Estimation With a Joint Classification–Regression Model DOI
Girish Kumar Gupta, Rajshekhar Vishweshwar Bhat,

M. Selva Balan

et al.

IEEE Geoscience and Remote Sensing Letters, Journal Year: 2024, Volume and Issue: 21, P. 1 - 5

Published: Jan. 1, 2024

Emerging deep learning methods for satellite-derived bathymetry (SDB), in which water depth is estimated using satellite band reflectance values, typically treat the problem as either classification or regression tasks, can underperform, particularly when data exhibits a skewed distribution. In this work, we propose novel jointly-trained classification-regression (JTCR) model SDB that first classifies input values to correspond range and then performs within each range. Using Shetrunji reservoir, an inland reservoir India, case study, with Sentinel-2 demonstrate our proposed outperforms other competitive models, including derived from separate training of tasks architecture. Concretely, observe Root Mean Square Error (RMSE), Absolute (MAE), R-squared (R2) 0.17, 0.05, 0.99, respectively, JTCR model, compared 0.71, 0.85 feedforward neural network model.

Language: Английский

Citations

5
Quantifying water evaporation from large reservoirs: Implications for water management in water-stressed regions DOI Creative Commons
Hannes Nevermann, Milad Aminzadeh,

Kaveh Madani

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 262, P. 119860 - 119860

Published: Aug. 29, 2024

Dam reservoirs are at the core of local water storage and supply, especially in water-stressed regions world with acute shortage problems. However, evaporative losses from these their efficiency often overlooked budgeting. We offer a mechanistic approach that combines physically-based modeling remote sensing information reservoir characteristics to reliably predict dam reservoirs. The developed framework is used potential different basins worldwide. apply this 10 largest world's quantify losses. Our analysis, spanning 2000 2020, reveals considerable variations annual evaporation rates located water-deprived exceeding 3200 mm/year during study period total loss reaching 26.5 km

Language: Английский

Citations

4
Community-based management of small reservoirs in an erosion-landslide-drought area in the dry tropical region of Kupang Regency DOI Creative Commons

Defritus Aldrin Punuf,

Junun Sartohadi, Muhammad Anggri Setiawan

et al.

Journal of Degraded and Mining Lands Management, Journal Year: 2025, Volume and Issue: 12(2), P. 7337 - 7351

Published: Jan. 1, 2025

A crucial component of water supply in arid tropical regions is the construction small reservoirs. Interestingly, various problems arise and management reservoirs, so role reservoirs providing surface considered less than optimal. This study aimed to identify that cause function be optimal provide direction for reservoir dry areas. The investigation was carried out two primary stages: site analysis issues with usability regional physical characteristics regionally. Determining points using SPOT 6/7 imagery a resolution 1.5 m. Land system maps morphometry were used analyze site. Field surveys in-depth interviews conducted benefits limiting factors results revealed are found locations low altitudes (0-100 masl) undulating terrain (8-15%). According findings, 95.3% still water-filled. However, many resulted suboptimal utilization Specifically, faced structural damage due 1) erosion-landslides (74.77%), 2) sedimentation (33.64%), 3) seepage (7.48%), 4) embankment collapse (6.54%), 5) leakage (2.80%). Most community does not utilize limited infrastructure. Pipes distribute only available at around 46.73%, while tanks 43.93%. Directions future adding infrastructure, sediment management, community-based management.

Language: Английский

Citations

0
Data Storage Architecture and Retrieval Based on Water Conservancy Data and Computer Technologies DOI Open Access

Xishuang Yin,

Yi Feng

International Journal of Agricultural and Environmental Information Systems, Journal Year: 2025, Volume and Issue: 16(1), P. 1 - 17

Published: April 18, 2025

The reasonable storage and retrieval of spatial data in rivers lakes can promote the development river lake management protection projects. In order to efficiently store retrieve data, this study adopts computer technology design a architecture method based on types. structured relational databases document with indexing characteristics. Use geospatial abstraction library read write raster image from unstructured use Elasticsearch metadata. test results show that minimum latency is 13ms, average response time 78ms, maximum throughput 14000 req/s, failure rate 0.106%. designed database performance are excellent, providing technical support for efficient data.

Language: Английский

Citations

0
Improving small reservoir storage capacity estimation using DEM: inferring underwater volume at DEM data acquisition time DOI
Dário Macedo Lima, Adriano Rolim da Paz, Eduardo Sávio Passos Rodrigues Martins

et al.

Hydrological Sciences Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Language: Английский

Citations

0
Estimating the influence of water control infrastructure on natural low flow in complex reservoir systems: A case study of the Ohio River DOI Creative Commons
Gaurav Atreya, Erich Emery,

Nathan Rogacki

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 54, P. 101897 - 101897

Published: July 23, 2024

Language: Английский

Citations

3
Catchment characteristics dominate the hydrological behavior of closed lakes across the Tibetan Plateau DOI Creative Commons

Minglei Hou,

Jiahua Wei, Yang Shi

et al.

CATENA, Journal Year: 2024, Volume and Issue: 242, P. 108090 - 108090

Published: May 11, 2024

Naturally closed lakes located on the Tibetan Plateau provide a more authentic depiction of climate change and have undergone significant but dissimilar changes over past four decades. Although previous research has concentrated lake at regional continental scales, dominant factors related to catchment scale remain elusive. This study employed hierarchical minimum variance clustering method, six representative topographies land surface descriptors classify catchments 322 (>1 km2) across from 1981 2020. To better understand driving in catchment-scale areas, we assigned two distinct attribute classes resulting classifications: hydro-meteorological characteristics geographical environmental aspects. Our analysis revealed that five clusters are geographically coherent exhibit characteristics. By assessing decadal-scale time for with area greater than ± 50 %, found most driver 2000 was continuous decline snowmelt, followed by substantial increase precipitation, temperature, glacial meltwater Regarding trends magnitude, different responses may occur areas similar physical geography climatology (i.e., same cluster). During decades, only 3 % (19) shrank decreased rate. Also, intense evaporation corresponds period decrease area. Despite variation among clusters, precipitation dominates inconsistent under climatology, some exceptions strongly groundwater melted permafrost recharge. findings laid groundwork understanding this region's complex hydrological behavior.

Language: Английский

Citations

2
Bathymetry reconstruction from experimental data using PDE-constrained optimisation DOI Creative Commons
Judith Angel, Jörn Behrens, Sebastian Götschel

et al.

Computers & Fluids, Journal Year: 2024, Volume and Issue: 278, P. 106321 - 106321

Published: May 25, 2024

Knowledge of the bottom topography, also called bathymetry, rivers, seas or ocean is important for many areas maritime science and civil engineering. While direct measurements are possible, they time consuming, expensive inaccurate. Therefore, approaches have been proposed how to infer bathymetry from surface waves. Mathematically, this an inverse problem where unknown system state needs be reconstructed observations with a suitable model flow as constraint. In cases, shallow water equations can used describe flow. theoretical studies efficacy such PDE-constrained optimisation approach reconstruction exist, there seem few publications that study its application data obtained real-world measurements. This paper shows can, at least qualitatively, reconstruct Gaussian-shaped in wave flume free level up three points. Achieved normalized root mean square errors (NRMSE) line other approaches.

Language: Английский

Citations

1
Hydroclimate Risks to the Western US Electric Grid under a Warming Climate DOI
Adrienne Marshall, Surabhi Upadhyay

Current Sustainable/Renewable Energy Reports, Journal Year: 2024, Volume and Issue: 11(3), P. 68 - 76

Published: July 9, 2024

Language: Английский

Citations

1
Improving Global Reservoir Parameterizations by Incorporating Flood Storage Capacity Data and Satellite Observations DOI Creative Commons
Youjiang Shen, Dai Yamazaki, Yadu Pokhrel

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 61(1)

Published: Dec. 28, 2024

Abstract Accurate reservoir representation in large‐scale river models remains challenging owing to limited access data on operations. We contribute model development by introducing a global machine‐learning based flood storage capacity (FSC) set and satellite‐based target operation scheme (SBTS). The FSC for 1,178 control reservoirs is constructed using multiple attributes reported data. Integrating these FSCs into SBTS enables its applicability with generic formulations of zoning. Then, we develop monthly median values satellite as parameters. With seasonal patterns constrains, improvements simulation results are achieved. When simulated observed inflow, performed significantly better (median Kling‐Gupta efficiency 0.52 0.17 outflow simulations among 289 reservoirs), compared the previous linearly interpolated parameter (0.41 −0.19). Compared two existing schemes without storages, demonstrates improved performance many whose inflow pattern more regular. coupled model, it discharge across 293 downstream gauges, overall performance, peak, low flow improving at 40%, 21%, 35% respectively, reservoirs. However, do not improve notably due biases demonstrated that observations help parameterizations, found other aspects modeling essential accurately reproducing patterns.

Language: Английский

Citations

1