The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya

Land, Journal Year: 2022, Volume and Issue: 11(8), P. 1271 - 1271

Published: Aug. 8, 2022

The change in land use and cover upstream watersheds will the features of drainage systems such that they impact surface overflow affect infiltration capacity a surface, which is one factors contributes to flooding. key objective this study identify vulnerable areas flooding assess causes using ground-based measurement, remote sensing data, GIS-based flood risk mapping approaches for hazard Teunom watershed. purposes investigation were to: (1) examine level characteristics changes occurred area between 2009 2019; (2) determine on water capacity; (3) produce maps sub-district. Landsat imagery 2009, 2013, slope maps; field measurement soil data utilized study. results show significant increase residential land, open rice fields, wetlands (water bodies) different rates contribute variation zone hazards. watershed has high very ~11.98% total area, moderate 56.24%, low ~31.79%. generally risk, with ~68% (moderate risk). There was substantial reduction forest agricultural shrubs from 2019. Therefore, segmentation flood-risk zones essential preparation region. offers basic information about central governments, local NGOs, communities intervene preparedness, responses, mitigation recovery processes, respectively.

Language: Английский

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Modelling impacts of climate change and anthropogenic activities on inflows and sediment loads of wetlands: case study of the Anzali wetland

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: April 3, 2023

Understanding the effects of climate change and anthropogenic activities on hydrogeomorpholgical parameters in wetlands ecosystems is vital for designing effective environmental protection control protocols these natural capitals. This study develops methodological approach to model streamflow sediment inputs under combined land use / cover (LULC) changes using Soil Water Assessment Tool (SWAT). The precipitation temperature data from General Circulation Models (GCMs) different Shared Socio-economic Pathway (SSP) scenarios (i.e., SSP1-2.6, SSP2-4.5, SSP5-8.5) are downscaled bias-corrected with Euclidean distance method quantile delta mapping (QDM) case Anzali wetland watershed (AWW) Iran. Land Change Modeler (LCM) adopted project future LULC at AWW. results indicate that air across AWW will decrease increase, respectively, SSP5-8.5 scenarios. Streamflow loads reduce sole influence SSP2-4.5 An increase load inflow was observed changes, this mainly due projected increased deforestation urbanization findings suggest densely vegetated regions, located zones steep slope, significantly prevents large high input Under by 2100, total reach 22.66, 20.83, 19.93 million tons scenarios, respectively. highlight without any robust interventions, degrade ecosystem partly-fill basin, resulting resigning Montreux record list Ramsar Convention Wetlands International Importance.

Language: Английский

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Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(4)

Published: Feb. 12, 2024

Abstract The wetland loss rate in Iran is faster than the global average. Comprehending shrinkage Iranian wetlands and identifying underlying drivers of these changes essential for safeguarding their ecosystems' health services. This study proposes a novel gray‐box modeling framework to quantify effects climate change anthropogenic activities on wetlands, by combining process‐based machine learning models. developed model utilized project Anzali coastal simulating complex interaction between meteorological, hydrological, sea water level characteristics, surface area. Our aggregates Soil Water Assessment Tool model, 12 General Circulation Models Coupled Model Intercomparison Project Phase 6, Landsat imagery, Long Short‐Term Memory till 2100. A comprehensive range Land Use/Cover scenarios are analyzed. results show that will seasonally desiccate 2058, mainly due increasing air temperature, reduction precipitation inflow, excessive sediment loading wetland, decline Caspian Sea level. For optimistic scenarios, where no considered, gradually diminish become seasonal waterbody outcomes this highlight desiccation has profound implications regional‐scale ecological balance, ecosystem function, public health, local economy. Robust environmental interventions sustainable development strategies urgently needed mitigate detrimental impacts wetland.

Language: Английский

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Monitoring Land Cover/Use Conversions in Türkiye Wetlands Using Collect Earth

Journal of the Indian Society of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Language: Английский

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Appraisal of kappa-based metrics and disagreement indices of accuracy assessment for parametric and nonparametric techniques used in LULC classification and change detection

Modeling Earth Systems and Environment, Journal Year: 2020, Volume and Issue: 6(2), P. 1045 - 1059

Published: March 19, 2020

Language: Английский

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Impacts of land use and land cover changes on hydrological processes and sediment yield determined using the SWAT model

International Journal of Sediment Research, Journal Year: 2021, Volume and Issue: 37(1), P. 54 - 69

Published: April 26, 2021

Language: Английский

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A dynamic land use/land cover input helps in picturing the Sahelian paradox: Assessing variability and attribution of changes in surface runoff in a Sahelian watershed

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 757, P. 143792 - 143792

Published: Nov. 27, 2020

Language: Английский

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Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model

Sustainability, Journal Year: 2021, Volume and Issue: 13(2), P. 471 - 471

Published: Jan. 6, 2021

In this study, prediction of the future land use cover (LULC) changes over Mumbai and its surrounding region, India, was conducted to have reference information in urban development. To obtain historical dynamics LULC, a supervised classification algorithm applied Landsat images 1992, 2002, 2011. Based on spatial drivers LULC 1992 multiple perceptron neural network (MLPNN)-based Markov chain model (MCM) simulate 2011, which further validated using kappa statistics. Thereafter, by 2002 2011 MLPNN-MCM predict 2050. This study predicted prompt growth suburban regions Mumbai, shows, 2050, Urban class will occupy 46.87% (1328.77 km2) entire area. As compared Forest areas 2050 increase 14.31% 2.05%, respectively, while area under Agriculture/Sparsely Vegetated Barren decline 16.87%. The water coastal feature experience minute fluctuations (<1%) future. for can be used as thematic map various climatic, environmental, planning models achieve aims sustainable development region.

Language: Английский

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The impact of land-use/land cover changes on water balance of the heterogeneous Buzi sub-catchment, Zimbabwe

Remote Sensing Applications Society and Environment, Journal Year: 2020, Volume and Issue: 18, P. 100292 - 100292

Published: Feb. 4, 2020

The nature of interactions between ecological, physical and hydrological characteristics that determine the effects land cover change on surface sub-surface hydrology is not well understood in both natural disturbed environments. spatiotemporal dynamics water fluxes their relationship with changes 2009 2017 headwater Buzi sub-catchment Zimbabwe evaluated. To achieve this, for area under study were characterised from 30 m Landsat data, using eXtreme Gradient Boosting (XGBoost) algorithm. After classification, key balance components namely; interception, transpiration evapotranspiration (ET) contributions each class estimated. Image classification data achieved good overall accuracies above 80% two periods. Results showed percentage plantation types decreased slightly (25.4%) (22.5%). Partitioning annual ET according to classes highest amounts basin where tea had catchment. Higher ET, interception observed eastern parts At catchment level, results show a higher than 2009, which was partly explained by decrease type.

Language: Английский

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Using the InVEST Model to Assess the Impacts of Climate and Land Use Changes on Water Yield in the Upstream Regions of the Shule River Basin

Water, Journal Year: 2021, Volume and Issue: 13(9), P. 1250 - 1250

Published: April 29, 2021

Water yield is a key ecosystem function index, directly impacting the sustainable development of basin economy and ecosystem. Climate land use/land cover (LULC) changes are main driving factors affecting water yield. In context global climate change, assessing impacts LULC on in alpine regions Qinghai–Tibet Plateau (QTP) essential for formulating rational management strategies resources. On basis Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model, we simulated analyzed spatiotemporal variations from 2001 to 2019 upstream Shule River Basin (USRB) northeastern margin QTP. Three scenarios were designed InVEST model clearly analyze contributions variation The first scenario integrated change into according actual conditions. second was simulation without third change. results showed that (1) had good performance estimating (coefficient determination (R2) = 0.986; root mean square error (RMSE) 3.012, p < 0.05); (2) significantly increased temporal scale 2019, especially high altitude marginal (accounting 32.01%), while northwest decreased accounted only 8.39% (p (3) spatial distribution middle low-altitude high-altitude regions; (4) through analysis three scenarios, impact 90.56%, 9.44%. This study reveals warming has positive yield, which will provide valuable references assessment resources Basin.

Language: Английский

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