Application of Gridded Precipitation Datasets for Simulating Discharge along with Hybrid Machine Learning Methods: An Operational Approach for Poorly Gauged Basins DOI Creative Commons
Reza Morovati

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: July 31, 2023

Abstract In many regions, there is no long-term discharge data which do not include any gaps. this work, we have tried to overcome these limitations with the use of gridded precipitation datasets and data-driven modeling. To end, Multilayer Perceptron Neural Network (MLPNN), as a Rainfall-Runoff (R-R) model was taken into account simulate Karkheh basin in Iran. Precipitation extracted from Asian Precipitation-Highly Resolved Observational Data Integration Toward Evaluation (APHRODITE), Global Climatology Center (GPCC) Climatic Research Unit (CRU) datasets. MLPNN training implemented using Levenberg-Marquardt (LM) algorithm Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Principal Component Analysis (PCA) Singular Value Decomposition (SVD) were used pre-process input for well. Two scenarios considered R-R Scenario1 (S1), calibrated via situ dataset testing phase. Scenario 2 (S2), examined separately based on each dataset. The results showed that S1, APHRODITE outperformed other two All functions improved S2. sum up, best performance APHRODITE, GPCC, CRU related hybrid applications S2-PCA-NSGA-II, S2-SVD-NSGA-II, respectively. Our indicate that, main error found bias will be disappeared automatically when datasets, suggesting correction or re-calibration existing models are required. illustrate high potential runoff simulation filling gaps existed observed data.

Language: Английский

Spatiotemporal changes in future precipitation of Afghanistan for shared socioeconomic pathways DOI Creative Commons

Sayed Tamim Rahimi,

Ziauddin Safari, Shamsuddin Shahid

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28433 - e28433

Published: March 21, 2024

Global warming induces spatially heterogeneous changes in precipitation patterns, highlighting the need to assess these at regional scales. This assessment is particularly critical for Afghanistan, where agriculture serves as primary livelihood population. New global climate model (GCM) simulations have recently been released established shared socioeconomic pathways (SSPs). requires evaluating projected under new scenarios and subsequent policy updates. research employed six GCMs from CMIP6 project spatial temporal across Afghanistan all SSPs, including SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5. The were bias-corrected using Precipitation Climatological Center's (GPCC) monthly gridded data with a 1.0° resolution. Subsequently, change factor was calculated both near future (2020-2059) distant (2060-2099). projections' multi-model ensemble (MME) revealed increased most of SSPs higher emissions scenarios. showed substantial increase summer around 50%, SSP1-1.9 southwestern region, while decline over 50% northwestern region until 2100. annual northwest up 15% SSP1-2.6. SSP2-4.5 20% certain eastern regions far future. Furthermore, rise approximately SSP3-7.0 expected central western However, it crucial note that exhibit considerable uncertainty among different GCMs.

Language: Английский

Citations

7
Multi-datasets to monitor and assess meteorological and hydrological droughts in a typical basin of the Brazilian semiarid region DOI
Glauciene Justino Ferreira da Silva, Richarde Marques da Silva, Reginaldo Moura Brasil Neto

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(4)

Published: March 15, 2024

Language: Английский

Citations

6
Analyzing the impact of ocean-atmosphere teleconnections on rainfall variability in the Brazilian Legal Amazon via the Rainfall Anomaly Index (RAI) DOI
Celso Augusto Guimarães Santos, Daris Correia dos Santos, Reginaldo Moura Brasil Neto

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 307, P. 107483 - 107483

Published: May 19, 2024

Language: Английский

Citations

6
Utilizing Hybrid Machine Learning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River Basins DOI Creative Commons
Reza Morovati, Özgür Kişi

Hydrology, Journal Year: 2024, Volume and Issue: 11(4), P. 48 - 48

Published: April 4, 2024

This study addresses the challenge of utilizing incomplete long-term discharge data when using gridded precipitation datasets and data-driven modeling in Iran’s Karkheh basin. The Multilayer Perceptron Neural Network (MLPNN), a rainfall-runoff (R-R) model, was applied, leveraging from Asian Precipitation—Highly Resolved Observational Data Integration Toward Evaluation (APHRODITE), Global Precipitation Climatology Center (GPCC), Climatic Research Unit (CRU). MLPNN trained Levenberg–Marquardt algorithm optimized with Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Input were pre-processed through principal component analysis (PCA) singular value decomposition (SVD). explored two scenarios: Scenario 1 (S1) used situ for calibration dataset testing, while 2 (S2) involved separate calibrations tests each dataset. findings reveal that APHRODITE outperformed S1, all showing improved results S2. best achieved hybrid applications S2-PCA-NSGA-II S2-SVD-NSGA-II GPCC CRU. concludes datasets, properly calibrated, significantly enhance runoff simulation accuracy, highlighting importance bias correction modeling. It is important to emphasize this approach may not be suitable situations where catchment undergoing significant changes, whether due development interventions or impacts anthropogenic climate change. limitation highlights need dynamic approaches can adapt changing conditions.

Language: Английский

Citations

4
Extreme precipitation events over the east coast of northeast Brazil: Synoptic study and MPAS simulation DOI Creative Commons
Matheus José Arruda Lyra, Helber Barros Gomes, Dirceu Luís Herdies

et al.

Weather and Climate Extremes, Journal Year: 2024, Volume and Issue: 45, P. 100711 - 100711

Published: July 30, 2024

In the present study two extreme events that occurred in East Coast of Northeast Brazil (ENEB) during 2022 and 2023 were evaluated. These are becoming increasingly frequent all regions Brazil, associated with significant material human losses, emphasizing significance a deeper comprehension these events. ERA5 global reanalysis data, GOES-16 satellite imagery pluviometric stations used for analysis. Model simulations also conducted using Prediction Across Scales (MPAS) variable resolution (60–3 km). Both corresponded to Easterly Wave Disturbances (EWDs) under opposite large-scale conditions ENSO cycle, since could be responsible losses. Thus, an emphasis was given characterize synoptic conditions. analyzed cases along ENEB, specifically over Alagoas state. The trough axis penetrating studied area observed on both examined dates, very characteristic relative vorticity this tropical disturbance. general, moisture convergence resulted from high flow prevailing region combined upward movements caused by at low levels, which local factors such as topography, contributed increase rainfall cases. MPAS showed excellent spatial representation when compared station highlighting intense precipitation parts Alagoas.

Language: Английский

Citations

4
Multi-proxy assessment of coral reef formation and biotic-abiotic diversity in an urban coastal reef ecosystem in northeastern Brazil DOI Creative Commons
Karina Massei, Maria Cecília Silva Souza, Richarde Marques da Silva

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 891, P. 164487 - 164487

Published: May 30, 2023

Coral reefs are habitats with high animal and mineral diversity subject to both climate change anthropogenic impacts. This article presents novel relevant data on the Seixas coral reef environment's geological, sedimentological, mineralogical, biotic aspects in Paraíba State, northeastern Brazil. The aim of this study is evaluate processes formation species urban coastal environments Brazil using a multi-proxy approach. Materials methods employed analyze abiotic include (a) bathymetric survey, (b) collection granulometric data, (c) geological stratigraphic determination, (d) identification species. Mineralogical slide results reveal that Reef recent biogenic coral-algal carbonate associated coastline evolution, sedimentation, changes occurred alongside sea-level rise (Holocene-Quaternary period). indicate benthic organism settlement consolidated arenite base, fauna undergoing continuous succession processes. It can be concluded highly vulnerable due material its comprises subsectors (fore reef) others low (reef top), which affected by natural factors. Studies nature contribute understanding evolution reefs, as their proximity continent makes them more vulnerable, they experience direct physical impacts from fishing tourist activities.

Language: Английский

Citations

10
Climate Change in Sergipe, Northeast Brazil: Hydrological Trends in Recent Decades DOI Open Access
Thiers Pereira de Souza, Izaias Rodrigues de Souza Neto, Ronaldo Guilherme Santos Lima

et al.

International Journal of Climatology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

ABSTRACT Analysing spatial and temporal variability in climate is not just an academic exercise; it also crucial for identifying hydrological trends, assessing change, understanding the environmental vulnerability of a region. These analyses help projecting future water availability susceptibility to desertification. The Northeast Brazil (NEB), characterised by prolonged droughts intense rainfall events, could greatly benefit from such research. In Sergipe, smallest state NEB, some studies have revealed trends indicating decrease annual increasing extremes maximum minimum temperatures, accompanied signs change arid zones. Therefore, this study aimed evaluate precipitation ( P ), evapotranspiration (ETo), aridity index (AI) Sergipe's watersheds, as well assess changes their distribution across territory. results showed that, over past six decades, Sergipe did exhibit statistically significant tendencies variables: total precipitation, wettest quarter (WQT), driest (DQT). However, analysis dynamics these variables. Five watersheds presented increase ETo annually during DQT. Spatially, expansion occurred areas highly susceptible desertification, particularly São Francisco watershed at headwaters Piauí Real rivers. findings suggest trend decreasing region, emphasising need immediate policy intervention mitigate risks damage caused droughts.

Language: Английский

Citations

0
A novel integration of analytic hierarchy process and fuzzy logic to evaluate drought vulnerability in a semiarid region DOI
Leandro Arthur Vieira Vaz, Hamilcar José Almeida Filgueira, Eliamin Eldan Queiroz Rosendo

et al.

Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 102221 - 102221

Published: April 1, 2025

Language: Английский

Citations

0
A Dynamical Perspective of the Extreme Rainfall Event Over Eastern Northeast Brazil in May 2022 DOI Creative Commons
Shunya Koseki,

Isabelle Vilela,

Dóris Veleda

et al.

Meteorological Applications, Journal Year: 2025, Volume and Issue: 32(3)

Published: May 1, 2025

ABSTRACT This study investigated how the extreme rainfall event over eastern Northeast Brazil (ENEB), occurring at end of May 2022, was induced dynamically using observational and reanalysis data. On a monthly time scale, wet‐spell condition found ENEB region in indicated by enhanced onshore‐ward moisture flux widely spreading positive precipitation anomaly. At shorter experienced continually intense rainy days from 21st to 28th peaking on 28th. Focusing most 28th, shallow vortex disturbance tropical easterly wave can be responsible for this event. is initiated south Atlantic adjacent region, we suggest that strong zonal wind shear zone associated with synoptic‐scale high‐pressure system generates as barotropic instability. Even though center did not make landfall part band elongated along coastal line vorticity convergence intensify drastically region. Reinforced fluid deformation indicates extension intensification band. The enhancement vorticity, convergence, interactive, sea‐land contrast may cause enhancements due surface change. provides new dynamical insight into

Language: Английский

Citations

0
Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning DOI
Ariane Marina de Albuquerque Teixeira, Leonardo Vidal Batista, Richarde Marques da Silva

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101205 - 101205

Published: April 21, 2024

Language: Английский

Citations

3