Comment on essd-2024-41 DOI Creative Commons
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi

et al.

Published: April 29, 2024

Abstract. Since 1950, European rivers have been put under increasing pressure by anthropogenic activities, resulting in changes climate, land cover, soil properties and channel morphologies. These evolving environmental conditions can translate into hydrological conditions. The availability of consistent estimates river flow at global continental level is a necessity to assess attribute the cycle. To overcome limitations posed observations (incomplete records, inhomogeneous spatial coverage), we simulate discharge for Europe period 1950–2020 using state-of-the-art modelling approach. We use new set up LISFLOOD model, running 1 arcminute (≈1.8 km) with six-hourly time steps. model forced climate reanalysis data (ERA5-land) bias-corrected downscaled resolution weather observations. also ingests 72 surface fields maps representing catchment morphology, vegetation, properties, use, water demand, lakes reservoirs. Inputs related human activities are through emulate society. Hydrological ReAnalysis (HERA), provides 282 521 pixels upstream area > 100 km2. its skill 2901 gauging stations distributed across Europe. Overall, HERA delivers satisfying results, general weak underestimation observed mean variability. find that performance increases between 1950 2020. fine temporal result an enhanced compared other small-to-medium-scale catchments (100–10 000 km2), degraded remaining small catchments. first long-term, high-resolution Despite limitations, it enables analysis dynamics extremes, influences, change scale while keeping local relevance. It creates opportunity study these ungauged

Language: Английский

Frequent drought and flood events in the Yellow River Basin, increasing future drought trends in the middle and upper reaches DOI
Jianming Feng,

Qin Tianling,

Xizhi Lv

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 139, P. 104511 - 104511

Published: April 11, 2025

Language: Английский

Citations

0
Analysis of Trends and Abrupt Changes in Streamflow via Innovative Polygon Trend Analysis and BEAST Changepoint Detection DOI
Muhammad Lawal Abubakar,

A Tankó,

Khalid Ibrahim Richifa

et al.

World Water Policy, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

ABSTRACT Streamflow assessment is essential for managing water resources, enhancing agricultural output, and maintaining ecosystem health. This study examined the annual seasonal variability in streamflow Niger River, gauged at Baro Station. The data were obtained from NRBDA. coefficient of variation, Mann–Kendall trend test, modified innovative trend, polygon analysis used to assess trends gauging station. results revealed that stream flow moderately variable, with a CV 28%. variations within seasons ranged moderate, high very high. (ITA) all significantly increasing streamflow. ITA IPTA monthly increased Station may guide management policies other locations facing similar challenges by providing insights into how hydrological cycles are evolving regions might adapt these changes. concluded station experiencing significant trends. As around world increasingly impacted unpredictable rainfall more frequent extreme weather events, this provides shifts affect availability. recommended there need enhanced support productivity region.

Language: Английский

Citations

0
Bridging scales and borders on water availability and use in the transboundary Volta River Basin: A water accounting approach DOI
Afua Owusu, Komlavi Akpoti, Mansoor Leh

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102377 - 102377

Published: April 19, 2025

Language: Английский

Citations

0
How could climate change affect the magnitude, duration and frequency of hydrological droughts and floods in West Africa during the 21st century? A storyline approach DOI Creative Commons
Job Ekolu, Bastien Dieppois,

Serigne Bassirou Diop

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133482 - 133482

Published: May 1, 2025

Language: Английский

Citations

0
Drought Quantification in Africa Using Remote Sensing, Gaussian Kernel, and Machine Learning DOI Open Access

Fred Sseguya,

Kyung Soo Jun

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2656 - 2656

Published: Sept. 18, 2024

Effective drought management requires precise measurement, but this is challenging due to the variety of indices and indicators, each with unique methods specific uses, limited ground data availability. This study utilizes remote sensing from 2001 2020 compute categorized as meteorological, agricultural, hydrological. A Gaussian kernel convolves these into a denoised, multi-band composite image. Further refinement enhances single index category: Reconnaissance Drought Index (RDI), Soil Moisture Agricultural (SMADI), Streamflow (SDI). The enhanced index, encompassing all bands, serves predictor for classification regression tree (CART), support vector machine (SVM), random forest (RF) learning models, further improving three indices. CART demonstrated highest accuracy error minimization across categories, root mean square (RMSE) absolute (MAE) values between 0 0.4. RF ranked second, while SVM, though less reliable, achieved below 0.7. results show persistent in Sahel, North Africa, southwestern meteorological affecting 30% agricultural 22%, hydrological 21%.

Language: Английский

Citations

2
Projection and Analysis of Floods in the Upper Heihe River Basin under Climate Change DOI Creative Commons

Yingtao Ye,

Zhanling Li, Xintong Li

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(7), P. 1083 - 1083

Published: June 28, 2023

The projection of future hydrological processes can provide insights into the risks associated with potential events in a changing environment and help develop strategies to cope prevent them. Heihe River basin Northwest China is crucial for providing water resources water-scarce regions. Thus, understanding runoff trends context climate change optimize allocation, alleviate shortages, mitigate flood region. In this study, we use meteorological data from 10 general circulation models under two scenarios drive Soil Water Assessment Tool (SWAT) model project upper 2026 2100. After examining changes total basin, assess magnitude, frequency, timing daily future. results multi-model ensemble averaging (MMEA) method show that multi-year average annual −4.5% (2026–2050), −1.8% (2051–2075), +2.0% (2076–2100) SSP245 scenario −1.0% +0.4% +0.2% SSP585 compared historical period. analysis magnitudes indicates will experience higher-magnitude floods future, largest increase rates 61.9% 66.4% 1-day maximum flows scenarios, respectively. return period projected be shorter 100-year are expected by 44.7% 63.7% Furthermore, significant shift expected, highest frequency moving July August, representing one-month lag Our findings suggest characteristics may significantly altered due effects change, resulting higher frequencies different timings. Therefore, it imperative consider these carefully when developing risk prevention measures.

Language: Английский

Citations

5
Climate change impacts on renewable groundwater resources in the andosol-dominated Andean highlands, Ecuador DOI
Javier Senent‐Aparicio,

Lilia Peñafiel,

Francisco J. Alcalá

et al.

CATENA, Journal Year: 2023, Volume and Issue: 236, P. 107766 - 107766

Published: Dec. 21, 2023

Language: Английский

Citations

5
The impact of environmental conditions on non-communicable diseases in sub-Saharan Africa: A scoping review of epidemiologic evidence DOI Creative Commons
Chima Anyanwu, Jean C. Bikomeye, Kirsten Beyer

et al.

Journal of Global Health, Journal Year: 2024, Volume and Issue: 14

Published: Feb. 29, 2024

The burden of non-communicable diseases (NCDs) in sub-Saharan Africa (SSA) is increasing. Environmental conditions such as heavy metals and air pollution have been linked with the incidence mortality chronic cancer, well cardiovascular respiratory diseases. We aimed to scope current state evidence on impact environmental NCDs SSA.

Language: Английский

Citations

1
A Deeper Understanding of Climate Variability Improves Mitigation Efforts, Climate Services, Food Security, and Development Initiatives in Sub-Saharan Africa DOI Open Access
Shamseddin Musa Ahmed,

Hassan A. Dinnar,

Adam E. Ahmed

et al.

Climate, Journal Year: 2024, Volume and Issue: 12(12), P. 206 - 206

Published: Dec. 2, 2024

This research utilized the bagging machine learning algorithm along with Thornthwaite moisture index (TMI) to enhance understanding of climate variability and change, objective identifying most efficient service pathways in Sub-Saharan Africa (SSA). Monthly datasets at a 0.5° resolution (1960–2020) were collected analyzed using R 4.2.2 software spreadsheets. The results indicate significant changes climatic conditions Sudan, aridity escalation rate 0.37% per year. illustrated that actual water use was mainly influenced by rainfall runoff management, showing an inverse relationship increasing air temperatures. Consequently, sustainable strategies focusing on temperature control, such as rainwater harvesting, agroforestry plant breeding identified effective services mitigate adapt SSA. findings suggest management (e.g., harvesting) could potentially offset up 22% adverse impacts variability, while control agroforestry) account for remaining 78%. Without these interventions, will continue pose serious challenges food security, livelihood generations, regional stability. calls further in-depth studies attributions finer datasets.

Language: Английский

Citations

1
Drought from the 1970s to the 1990s and its Influence in the Tropical City of Beni, Eastern DR Congo DOI Creative Commons
Moïse Musubao Kapiri, Jonathan Ahadi Mahamba,

Rodriguez Kakule Amani

et al.

Indonesian Journal of Social and Environmental Issues (IJSEI), Journal Year: 2023, Volume and Issue: 4(1), P. 45 - 58

Published: April 28, 2023

Regional and local climate variability has serious consequences on water resources, ecosystems, socio-economic activities. With the inexistence of rainfall stations, it is important to reconstruct past with existing data explore new possibilities for monitoring future evolution in tropical city Beni. The objective this paper date 1970-1990 drought determine trend To purpose, a 45-year time series (period 1974-2019) was analyzed using Standardized Precipitation Index (SPI). results indicate that average annual ranges from 693 3080 mm an 1827 ± 480.65 mm. Hubert segmentation procedure applied reveals three breaks (sub-periods): 1974-1979 (mean 1205.7 mm), 1980-2007 1736.68 2008-2019 2348.01 mm). After 2000s, analysis shows increasing rainfall. A deficit 35.20% recorded during period compared 22.61% 2008-2019. study demonstrate Beni would have suffered years 1970-1990. Future research should focus However, understanding requires long-term data, which not case Therefore, there need policymakers collaboration scientific actors install meteorological stations collect data.

Language: Английский

Citations

3