Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 25, 2024
Language: Английский
Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103690 - 103690
Published: Aug. 10, 2024
Language: Английский
Citations
6
Earth, Journal Year: 2024, Volume and Issue: 5(1), P. 45 - 71
Published: Feb. 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.
Language: Английский
Citations
4
Journal of Infrastructure Policy and Development, Journal Year: 2025, Volume and Issue: 9(1), P. 10102 - 10102
Published: Jan. 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.
Language: Английский
Citations
0
European Journal of Remote Sensing, Journal Year: 2023, Volume and Issue: 56(1)
Published: July 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.
Language: Английский
Citations
9
Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(3)
Published: Feb. 15, 2024
Language: Английский
Citations
2
Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(3)
Published: April 13, 2024
Language: Английский
Citations
2
Sustainability, Journal Year: 2023, Volume and Issue: 15(19), P. 14148 - 14148
Published: Sept. 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.
Language: Английский
Citations
5
Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 49, P. 101489 - 101489
Published: July 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.
Language: Английский
Citations
4
Sustainable Water Resources Management, Journal Year: 2023, Volume and Issue: 10(1)
Published: Dec. 17, 2023
Language: Английский
Citations
4
Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(6)
Published: May 25, 2024
Language: Английский
Citations
1