Modeling streamflow response under changing environment using a modified SWAT model with enhanced representation of CO2 effects DOI Creative Commons
Baogui Li, Lili Tan, Xueliang Zhang

et al.

Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 50, P. 101547 - 101547

Published: Oct. 13, 2023

Haihe River Basin (HRB) in North China Plain. Changes streamflow due to climate change and human activities are highly uncertain. An improved Soil Water Assessment Tool (SWAT) model equipped with a dynamic CO2 input method was used quantify the environmental impacts on HRB. Streamflow changes were analyzed based 22 bias-corrected CMIP6 GCMs under SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 during two 30-year periods of middle (2041–2070) end (2071–2100) 21st century relative historical period (1971–2000). Long-term simulations annual HRB demonstrated substantial discrepancies between constant methods SSP1-2.6 scenarios, which highlighted importance using for simulations. Spatio-temporal analysis SWAT revealed that generally increased four emission scenarios compared period. In HRB, downstream plains higher than upstream mountains, this more evident highest scenario SSP5-8.5. Monthly showed considerable intra-annual variability greater from July November. The strongest increment projected SSP3-7.0 indicating flood risk would possibly increase late century.

Language: Английский

Flood analysis using HEC-RAS 1D model for the delta of Brahmani river, Odisha, India DOI

Padminee Samal,

Prakash Chandra Swain,

Sandeep Samantaray

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 18, 2025

Language: Английский

Citations

1

The Nature-Based Solutions and climate change scenarios toward flood risk management in the greater Athens area—Greece DOI Creative Commons
Aimilia-Panagiota Theochari,

Evangelos Baltas

Natural Hazards, Journal Year: 2024, Volume and Issue: 120(5), P. 4729 - 4747

Published: Jan. 26, 2024

Abstract This research paper focuses on implementing two Nature-Based Solutions (NBS) in the Sarantapotamos river basin upstream of Magoula settlement, evaluating their effectiveness through flood hydrograph calculations before and after NBS, under future climate scenarios, encompassing lower, mean, upper conditions representing ± 95%. The study area covers an 226 km 2 Attica, Greece, susceptible to extreme events. contributes NBS knowledge, emphasizing resilience protecting settlements downstream. Land cover change retention ponds, applied individually combined, serve as approaches. Flood hydrographs are calculated using time–area (TA) diagram method a geographic information system (GIS) with Hydrological Engineering Center’s Modeling System (HEC-HMS). Results demonstrate current conditions, reducing peak discharge by 9.3% 28% for land respectively. combined achieves 40.5% reduction significant 15.7% total volume decrease. Under impacts design precipitation vary. scenario exhibits 3348% increase 600% rise volume, while lower sees 44.6% volume. In mean scenario, ponds reduce 9.73% 23.11% 9.25% 2.17%, conclusion, show substantial reduction, changes extend time peak, potential risk management.

Language: Английский

Citations

7

Review paper on applications of the HEC-RAS model for flooding, agriculture, and water quality simulation DOI Creative Commons
Norsaliha Najwa Zainal, Siti Hidayah Abu Talib

Water Practice & Technology, Journal Year: 2024, Volume and Issue: 19(7), P. 2883 - 2900

Published: July 1, 2024

ABSTRACT The Hydrologic Engineering Center (HEC) of the United States Army Corps Engineers (USACE) has developed HEC-River Analysis System (RAS) hydraulic channel flow model as part its portfolio hydrologic and modeling tools. HEC-RAS is a new version with capabilities to flooding, for agriculture production computations water quality, many more related modeling. analysis components system include one-dimensional steady surface profile computations, or two-dimensional unsteady simulation, quasi-unsteady fully movable boundary sediment transport, quality analysis. main objective this paper review use on agriculture, quality. three primary data input are plan data, geometry data. Three these scenarios applied were proven by previous reviewers.

Language: Английский

Citations

6

Spatiotemporal Variability and Trends in Rainfall and Temperature in South Ethiopia: Implications for Climate Change Adaptations in Rural Communities DOI Creative Commons
Daniel Dalle,

Yisak Gecho,

Sisay Belay Bedeke

et al.

Advances in Meteorology, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 21

Published: Sept. 25, 2023

Climate change is an environmental challenge for rural communities that rely heavily on rainwater-based agriculture. The main goal of this study to investigate spatiotemporal variability and trends in rainfall temperature southern Ethiopia. Extreme indices were computed using the ClimPACT2 software. detection quantification extremes analyzed a nonparametric modified Mann–Kendall (MMK) test Sen’s slope estimator. Results indicated mean annual has declining trend at Boditi School Mayokote stations with statistically significant amount magnitudes 0.02 mm 0.04 mm, respectively. highest average monthly catchment was observed months April, May, June, July, August up maximum 117.50 177.43 228.84 Bilate Tena, Boditi, Mayakote stations, On seasonal scale, Tena station highly variable all months, ranging from 49.54% 126.92%, three seasons except spring which showed moderate variation 40.65%. In addition, locations over exhibited varied drought signs such as severe (1.28 < SRA 1.65) extreme (SRA > 1.65). indices, other hand, warming through increased number warm days (TX90p) nights (TN90p) ranges 0.274 6.03 3.16, value daily (TXx) 30.10 33.76°C agroecological zones low, medium, high values Dega, Woyna Kola agroecologies, while minimum (TNx) ranged between 17 17.44°C Dega Kola, Therefore, based persistent rise, appropriate adaptation strategies should be adopted.

Language: Английский

Citations

13

UAV based comprehensive modelling approach for flood hazard assessment and mitigation planning DOI

Kishanlal Darji,

Uttamkumar Vyas,

Dhruvesh Patel

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103609 - 103609

Published: April 22, 2024

Language: Английский

Citations

4

Flood Damage Risk Mapping Along the River Niger: Ten Benefits of a Participated Approach DOI Open Access
Maurizio Tiepolo, Muhammad Abraiz, Maurizio Bacci

et al.

Climate, Journal Year: 2025, Volume and Issue: 13(4), P. 80 - 80

Published: April 14, 2025

Flood risk mapping is spreading in the Global South due to availability of high-resolution/high-frequency satellite imagery, volunteered geographic information, and hydraulic models. However, these maps are increasingly generated without participation exposed communities, contrary Sendai Framework for Disaster Risk Reduction 2015–2030 priorities. As a result, understanding limited. This study aims map flood with citizen science complemented by hydrology, geomatics, spatial planning. The Niger River floods 2024–2025 on 113 km2 area upstream Niamey investigated. novelty work integration local technical knowledge micro-mapping large area. We consider product hazard damage monetary terms. Focus groups flooded municipalities, interviews irrigation perimeter managers, statistical river flow rainfall analysis identified hazard. plain was extracted from Sentinel-2 images using MNDWI validated ground control points. Six classes assets were visual photo interpretation very high-resolution imagery. Damage ascertained through sample farmers. may occur again next 12–19 years. Farmers cannot crop safer sites, raising significant environmental justice issues. depends strength levees, crop, season. From January February, horticulture at higher risk. Flooding does not bring benefits. highlight hot spots, validated, can be linked observed levels.

Language: Английский

Citations

0

Future Changes in Hydro-Climatic Extremes across Vietnam: Evidence from a Semi-Distributed Hydrological Model Forced by Downscaled CMIP6 Climate Data DOI Open Access
Hong Xuan, Lê Hoàng Tú, Manh‐Hung Le

et al.

Water, Journal Year: 2024, Volume and Issue: 16(5), P. 674 - 674

Published: Feb. 25, 2024

Flood hazards have led to substantial fatalities and economic loss in the last five decades, making it essential understand flood dynamics a warming climate. This study reports first comprehensive assessment of projected across Vietnam. We used downscaled climate data from CMIP6 initiative, involving total 20 models, streamflow projection simulated using semi-distributed hydrological model. The covers seven near-natural catchments, each representing zone country. To evaluate change impacts on floods, simultaneously analyzes changes three indices: (i) annual hottest day temperature, represent temperature extremes; (ii) maximum daily rainfall amount, (iii) discharge value exceeding 5% year, assess extremes. Changes selected indices (relative reference period 1985 2014) are assessed under four emission scenarios (SSP1–2.6, SSP2–4.5, SSP3–7.0, SSP5–8.5) two future time slices (2036–2065 2070–2099). Although robustness (as indicated by multi-model agreement) significance (identified through statistical test) vary substantially, depending slices, an overall increase is consistently identified all hydro-climatic extremes (up 4.8 °C for extremes, 43 mm 31% extremes). findings suggest potential risk Vietnam climate, highlighting urgent need improved preparedness investment reduce mortality uncertain future.

Language: Английский

Citations

3

A comprehensive comparison of bias correction methods in climate model simulations: application on ERA5-Land across different temporal resolutions DOI Creative Commons
Pranav Dhawan, Daniele Dalla Torre, Majid Niazkar

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40352 - e40352

Published: Nov. 14, 2024

Climate data plays a crucial role in water resources management, which is becoming an increasingly relevant asset all types of hydrological analysis not only for climate change studies but various horizon forecasting. Though the ever-improving accuracy models' spatial and temporal resolution has surged validity their outputs, products global regional models need to be corrected reliably used local purposes. Here, we propose comprehensive statistical univariate multivariate, as well machine learning methods bias correction, are compared on different scales, ranging from hourly time steps monthly aggregations, environment complex Alpine orthography, using ERA5-Land reanalysis data. The results reveal trends performance correction precipitation temperature across resolutions.

Language: Английский

Citations

3

Impact of climatic variabilities and extreme incidences on the physical environment, public health, and people’s livelihoods in Ethiopia DOI Creative Commons

Degfie Teku,

Sintayehu Eshetu

Frontiers in Climate, Journal Year: 2024, Volume and Issue: 6

Published: Dec. 16, 2024

Ethiopia’s vulnerability to climate change is exacerbated by high poverty rates, rapid population growth, increasing prevalence of vector-borne diseases, and heavy reliance on rain-fed agriculture. This narrative review aims compile existing data the impacts extremes physical environment, public health, livelihoods in Ethiopia, thereby highlighting significance this region for such a study. Data were sourced from peer-reviewed journal articles databases like PubMed, Scopus, Web Science, as well reports other unpublished documents. Results show that Ethiopia facing frequency, severity, duration, timing climate-related extreme events. Key challenges include environmental degradation, reduced crop yields, recurring floods, droughts, famines, increased heat waves, spread infectious diseases. Average daily rainfall projected decrease 2.04 mm (1961–1990) 1.97 (2070–2099), indicating worsening trend. Moreover, average annual temperature has risen 1.3°C since 1960, at rate 0.28°C per decade. Flood records indicate sharp rise, with 274 flood incidents recorded 2020, causing extensive damage, including an soil loss 1 billion tons Ethiopian highlands, reducing land productivity 2.2% annually. Droughts 1964 2023 affected 96.5 million people, GDP 4%, decreased agricultural output 12%, inflation rates 15%. The regions Afar, Somali, Gambella, Benshangul Gumuz exhibit health due rising temperatures. Addressing critical mitigate their adverse effects livelihoods.

Language: Английский

Citations

3

Modeling streamflow response under changing environment using a modified SWAT model with enhanced representation of CO2 effects DOI Creative Commons
Baogui Li, Lili Tan, Xueliang Zhang

et al.

Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 50, P. 101547 - 101547

Published: Oct. 13, 2023

Haihe River Basin (HRB) in North China Plain. Changes streamflow due to climate change and human activities are highly uncertain. An improved Soil Water Assessment Tool (SWAT) model equipped with a dynamic CO2 input method was used quantify the environmental impacts on HRB. Streamflow changes were analyzed based 22 bias-corrected CMIP6 GCMs under SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 during two 30-year periods of middle (2041–2070) end (2071–2100) 21st century relative historical period (1971–2000). Long-term simulations annual HRB demonstrated substantial discrepancies between constant methods SSP1-2.6 scenarios, which highlighted importance using for simulations. Spatio-temporal analysis SWAT revealed that generally increased four emission scenarios compared period. In HRB, downstream plains higher than upstream mountains, this more evident highest scenario SSP5-8.5. Monthly showed considerable intra-annual variability greater from July November. The strongest increment projected SSP3-7.0 indicating flood risk would possibly increase late century.

Language: Английский

Citations

5