Impact of land use/land cover change on surface water hydrology in Akaki river catchment, Awash basin, Ethiopia

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер 135, С. 103690 - 103690

Опубликована: Авг. 10, 2024

Язык: Английский

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Assessing Post-Monsoon Seasonal Soil Loss over Un-Gauged Stations of the Dwarkeswar and Shilabati Rivers, West Bengal, India

Earth, Год журнала: 2024, Номер 5(1), С. 45 - 71

Опубликована: Фев. 7, 2024

This study employs the Soil and Water Assessment Tool (SWAT) model to evaluate soil loss within Shilabati Dwarkeswar River Basin of West Bengal, serving as a pilot investigation into erosion levels at ungauged stations during post-monsoon season. Detailed data for temperature, precipitation, wind speed, solar radiation, relative humidity 2000–2022 were collected. A land use map, slope map prepared execute model. The categorizes watershed region 19 sub-basins 227 Hydrological Response Units (HRUs). detailed with regard was carried out. examination patterns over four distinct time periods (2003–2007, 2007–2012, 2013–2017, 2018–2022) indicated variability in severity across sub-basins. years 2008–2012, characterized by lower witnessed reduced erosion. Sub-basins 6, 16, 17, consistently faced substantial loss, while minimal observed 14 18. absence definitive pattern highlights region’s susceptibility climatic variables. Reduced from 2018 2022 is attributed diminished precipitation subsequent discharge levels. emphasizes intricate relationship between factors dynamics.

Язык: Английский

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Hydrological response to land use/land cover projection in Cisadane watershed, Indonesia

Journal of Infrastructure Policy and Development, Год журнала: 2025, Номер 9(1), С. 10102 - 10102

Опубликована: Янв. 7, 2025

The Cisadane Watershed is in a critical state, which has expanded residential areas upstream of Cisadane. Changes land use and cover can impact region’s hydrological characteristics. Soil Water Assessment Tool (SWAT) model that simulate the characteristics watershed affected by use. This study aims to evaluate change on using SWAT under different scenarios. models were calibrated validated, results showed satisfactory agreement between observed simulated streamflow. main river channel based delineation process, with boundary consisting 85 sub-watersheds. maximum flow rate (Q max) was 12.30 m3/s, minimum min) 5.50 m3/s. area’s distribution future scenarios includes business as usual (BAU), protecting paddy fields (PPF), forest (PFA). BAU scenario had worst effect responses due decreasing forests fields. PFA yielded most favourable response, achieving notable reduction from baseline surface flow, lateral groundwater 2%, 7%, respectively. attributed enhanced water infiltration, alongside increases yield evapotranspiration 3% 15%, l Therefore, it vital maintain green vegetation conserve support sustainable availability.

Язык: Английский

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Prediction of land use and land cover change in two watersheds in the Senegal River basin (West Africa) using the Multilayer Perceptron and Markov chain model

European Journal of Remote Sensing, Год журнала: 2023, Номер 56(1)

Опубликована: Июль 6, 2023

Land use and cover change (LULCC) is a major global problem, projecting critical for policy decision-making. Understanding LULCCs at the watershed level essential transboundary river basin management. The present study aims to analyse past future in two significant watersheds of Senegal River (SRB) West Africa: Bafing Faleme. This used Landsat images from 1986, 2006 2020 Random Forest classification method analyze these watersheds. results revealed: In Bafing, vegetation, settlement, agricultural areas water increased, while bareground decreased significantly between 1986-2020. Faleme, periods have different trends. Between 1986-2006, decreased. 2006-2020, settlement areas, To predict 2050 under business-as-usual assumptions, Multilayer Perceptron Marcov Chain model (MLP-MC) was used. MLP-MC shows better on than Faleme but without questioning its application has seen trend towards "more people, more trees", deforestation". These contribute develop appropriate land management policies strategies achieve or maintain sustainable development SRB.

Язык: Английский

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Impact of climate change and land cover dynamics on nitrate transport to surface waters

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(3)

Опубликована: Фев. 15, 2024

Язык: Английский

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Effect of land use land cover change on stream flow in Azuari watershed of the Upper Blue Nile Basin, Ethiopia

Sustainable Water Resources Management, Год журнала: 2024, Номер 10(3)

Опубликована: Апрель 13, 2024

Язык: Английский

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Basin-Scale Streamflow Projections for Greater Pamba River Basin, India Integrating GCM Ensemble Modelling and Flow Accumulation-Weighted LULC Overlay in Deep Learning Environment

Sustainability, Год журнала: 2023, Номер 15(19), С. 14148 - 14148

Опубликована: Сен. 25, 2023

Accurate prediction of future streamflow in flood-prone regions is crucial for effective flood management and disaster mitigation. This study presents an innovative approach projections deep learning (DL) environment by integrating the quantitative Land-Use Land-Cover (LULC) overlaid with flow accumulation values various Global Climate Model (GCM) simulated data. Firstly, Long Short Term Memory (LSTM) model was developed Greater Pamba River Basin (GPRB) Kerala, India 1985 to 2015 period, considering climatic inputs. Then, accumulation-weighted LULC integration considered modelling, which substantially improves accuracy predictions including extremes all three stations, as accounts geographical variety land cover types towards at sub-basin outlets. Subsequently, Reliability Ensemble Averaging (REA) technique used create ensemble candidate GCM products illustrate spectrum uncertainty associated climate projections. Future changes are accounted regional scale based on means Cellular-Automata Markov indices. The basin-scale projection done under scenarios SSP126, SSP245 SSP585 respectively lowest, moderate highest emission conditions. work a novel quantified other inputs DL against conventional techniques hydrological modelling. can adapt account shifting responses induced successful capturing dynamics long-term. It also identifies that more likely experience increased flooding near changing supports decision-making sustainable water worst affected region Kerala during mega floods 2018.

Язык: Английский

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Analysis of water quality by comprehensive pollution index (CPI) and self-purification capacity of Shinta River, Ethiopia

Sustainable Water Resources Management, Год журнала: 2023, Номер 10(1)

Опубликована: Дек. 17, 2023

Язык: Английский

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Optimal selection of cost-effective biological runoff management scenarios at watershed scale using SWAT-GA tool

Journal of Hydrology Regional Studies, Год журнала: 2023, Номер 49, С. 101489 - 101489

Опубликована: Июль 31, 2023

Study region: Hablehrood River (HR) watershed in the northern part of Iranian Central Plateau. Finding most economical management scenarios for implementing biological best practices (BMPs) HR is one way to solve runoff issue study area. As, types, quantities, and locations arid semi-arid rangeland BMPs have not yet been identified or determined using soil water assessment tool (SWAT) genetic algorithm (GA) maximize reductions at lowest possible cost rangelands, therefore, estimate identify scale current study, SWAT a GA model used. After determining hydrological response units (HRUs), eight were through combination activities. To determine practice with highest reduction cost, optimization was performed by based model. The simulation results this show that all developed had significant effect on surface rate reduced from 4.4% 8.2%. fifth scenario including seeding machine (SUM) without (SWM) activities as optimal weighted coefficients 0.95 0.05 respectively, be optimum practice. further indicate would decreased 76.4 million cubic meters compared base volume, 469.8 billion IR Rials. volume runoff, however, related number eight, while it (1114.3 Rials) among scenarios. Using methods, decision-makers managers may pinpoint BMP terms kinds, locations, amounts might reduce rates much cost.

Язык: Английский

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Effect of agriculture on surface water quantity and quality in Gilgel Gibe watershed, southwestern Ethiopia

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(6)

Опубликована: Май 25, 2024

Язык: Английский

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