Exploring future trends of precipitation and runoff in arid regions under different scenarios based on a bias-corrected CMIP6 model

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 630, P. 130666 - 130666

Published: Jan. 24, 2024

Language: Английский

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Flood hazards and susceptibility detection for Ganga river, Bihar state, India: Employment of remote sensing and statistical approaches

Results in Engineering, Journal Year: 2023, Volume and Issue: 21, P. 101665 - 101665

Published: Dec. 12, 2023

Climate change and flooding are related issues on the Earth's surface, while numerous lowland areas, especially delta regions, mostly affected by flood hazards. Hence, susceptibility mapping simulation of future effect areas essential for hazard management awareness. The river floodplain Ganga River in Bihar state most due to high annual floods. Floods cause huge economic losses environmental degradation, such as deforestation, riverbank erosion, water quality loss. Thus, vulnerability measurement is a serious concern this area, which involves building proper awareness mitigation strategies achieve sustainable development goals. Remote Sensing (RS) widely applied hydrological issues. statistical approaches, Analytical Hierarchy Process (AHP), Frequency Ratio (FR), Fuzzy-AHP (FAHP) algorithms, were analysis selected plain state. suitable three different approaches 9604.21 km2 9712.48 9598.28 channel not area. flooded maps indicated lands using Google Earth Engine (GEE) years 2977.69 (2020), 10481.63 (2021), 1103.89 (2022), respectively. results current study indicate that area essentially need attention adaptation reduction addition socio-economic variability monsoon regions. Otherwise, floods destroyed cropland, increased food scarcity, caused losses.

Language: Английский

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Heatwaves in Peninsular Malaysia: a spatiotemporal analysis

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 21, 2024

One of the direct and unavoidable consequences global warming-induced rising temperatures is more recurrent severe heatwaves. In recent years, even countries like Malaysia seldom had some mild to As Earth's average temperature continues rise, heatwaves in will undoubtedly worsen future. It crucial characterize monitor heat events across time effectively prepare for implement preventative actions lessen heatwave's social economic effects. This study proposes heatwave-related indices that take into account both daily maximum (Tmax) lowest (Tmin) evaluate shifts heatwave features Peninsular (PM). Daily ERA5 dataset with a geographical resolution 0.25° period 1950-2022 was used analyze changes frequency severity waves PM, while LandScan gridded population data from 2000 2020 calculate affected also utilized Sen's slope trend analysis characteristics, which separates multi-decadal oscillatory fluctuations secular trends. The findings demonstrated pattern PM could be reconstructed if Tmax than 95th percentile 3 or days. indicated southwest prone experienced after before. Overall, heatwave-affected area has increased by 8.98 km

Language: Английский

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Enhancing Solar Radiation Forecasting in Diverse Moroccan Climate Zones: A Comparative Study of Machine Learning Models with Sugeno Integral Aggregation

Atmosphere, Journal Year: 2024, Volume and Issue: 15(1), P. 103 - 103

Published: Jan. 14, 2024

Hourly solar radiation (SR) forecasting is a vital stage in the efficient deployment of energy management systems. Single and hybrid machine learning (ML) models have been predominantly applied for precise hourly SR predictions based on pattern recognition historical heterogeneous weather data. However, integration ML has not fully investigated terms overcoming irregularities data that may degrade accuracy. This study strategy highlights interactions exist between aggregated prediction values. In first investigation stage, comparative analysis was conducted utilizing three different including support vector (SVM) regression, long short-term memory (LSTM), multilayer artificial neural networks (MLANN) to provide insights into their relative strengths weaknesses forecasting. The comparison showed proposed LSTM model had greatest contribution overall six profiles from numerous sites Morocco. To validate stability LSTM, Taylor diagrams, violin plots, Kruskal–Wallis (KW) tests were also utilized determine robustness model’s performance. Secondly, found coupling outputs with aggregation techniques can significantly improve Accordingly, novel aggerated integrates SVM, MLANN Sugeno λ-measure integral named (SLSM) proposed. SLSM provides spatially temporary information are characterized by uncertainty, emphasizing importance function mitigating associated achieving an time scale accuracy improvement 11.7 W/m2.

Language: Английский

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Projected climate change impacts on streamflow in the Upper Oum Er Rbia Basin, Upstream of the Ahmed El Hansali Dam, Morocco

Environmental Challenges, Journal Year: 2025, Volume and Issue: 18, P. 101101 - 101101

Published: Feb. 3, 2025

Language: Английский

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Large-sample hydrology – a few camels or a whole caravan?

Hydrology and earth system sciences, Journal Year: 2024, Volume and Issue: 28(17), P. 4219 - 4237

Published: Sept. 12, 2024

Abstract. Large-sample datasets containing hydrometeorological time series and catchment attributes for hundreds of catchments in a country, many them known as “CAMELS” (Catchment Attributes MEteorology Studies), have revolutionized hydrological modelling enabled comparative analyses. The Caravan dataset is compilation several (CAMELS other) large-sample with uniform attribute names data structures. This simplifies hydrology across regions, continents, or the globe. However, use instead original CAMELS other may affect model results conclusions derived thereof. For dataset, meteorological forcing are based on ERA5-Land reanalysis data. Here, we describe differences between precipitation, temperature, potential evapotranspiration (Epot) 1252 CAMELS-US, CAMELS-BR, CAMELS-GB these dataset. Epot unrealistically high catchments, but there are, unsurprisingly, also considerable precipitation We show that from impairs calibration vast majority catchments; i.e. drop performance when using compared to datasets. mainly due Therefore, suggest extending included wherever possible so users can choose which they want at least indicating clearly come quality loss recommended. Moreover, not (and attributes, such aridity index) recommend should be replaced (or on) alternative estimates.

Language: Английский

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Multiple dimensions of extreme weather events and their impacts on biodiversity

Climatic Change, Journal Year: 2023, Volume and Issue: 176(11)

Published: Nov. 1, 2023

Abstract Climate change is a multidimensional phenomenon. As such, no single metric can capture all trajectories of and associated impacts. While numerous metrics exist to measure climate change, they tend focus on central tendencies neglect the multidimensionality extreme weather events (EWEs). EWEs differ in their frequency, duration, intensity, be described for temperature, precipitation, wind speed, while considering different thresholds defining “extremeness.” We review existing EWE outline framework classifying interpreting them light foreseeable impacts biodiversity. Using an example drawn from Caribbean Central America, we show that reflect unequal spatial patterns exposure across region. Based available evidence, discuss how such relate threats biological populations, empirically demonstrating ecologically informed help processes as mangrove recovery. Unveiling complexity affecting biodiversity only possible through mobilisation plethora metrics. The proposed represents step forward over assessments using dimensions or averages highly variable time series.

Language: Английский

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Wind Speed and Vegetation Coverage in Turn Dominated Wind Erosion Change With Increasing Aridity in Africa

Earth s Future, Journal Year: 2024, Volume and Issue: 12(6)

Published: June 1, 2024

Abstract Wind erosion is one of the main causes land degradation and desertification. Clarifying spatiotemporal variations wind dominant factors its spatial characteristics temporal trend will contribute to establishment appropriate control management practices, which essential for combating global strengthening ecological protection in drylands. Here, we assessed Africa during 2001–2020 based on Revised Erosion Equation (RWEQ). We also analyzed influential factor variation machine learning other methods under different aridity. Results revealed that average annual modulus was 16,672 t/km 2 /a 2001–2020, with hyper‐arid areas arid accounting more than 90% total modulus. The were dominated by natural but not anthropogenic activities. Except areas, speed vegetation coverage together characteristics. change, while semi‐arid capability affect change comparable speed. It can be concluded that, although revegetation does reduction taking into account water resource constraints use conflicts, large plantations replaced windbreaks increase reducing near‐surface speed, improves sustainability projects aimed at

Language: Английский

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Assessment of solar geoengineering impact on precipitation and temperature extremes in the Muda River Basin, Malaysia using CMIP6 SSP and GeoMIP6 G6 simulations

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174817 - 174817

Published: July 15, 2024

Language: Английский

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Performances of reanalysis products in representing the temperature climatology of Ethiopia

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(1)

Published: Jan. 1, 2025

Language: Английский

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