Exploring the effect of the architecture morphology on urban ventilation at block scale using CFD-GIS and random forest combined method

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106241 - 106241

Опубликована: Фев. 1, 2025

Язык: Английский

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Morphometric analysis of watersheds: A comprehensive review of data sources, quality, and geospatial techniques

Watershed Ecology and the Environment, Год журнала: 2023, Номер 6, С. 13 - 25

Опубликована: Дек. 22, 2023

The analysis of morphometric parameters plays a crucial role in understanding and managing watersheds, making it fundamental component hydrological investigations. This review paper talks about how important is to objectively evaluate parameters, with focus on the evaluation basins' relief, linear, areal parameters. However, noted that there lack distinct standard classification implication for each parameter some research publications. Furthermore, range categories values have not been adequately addressed previous studies. Many papers state whether particular parameter's resultant value high or low without providing specific ranges associated implications. Also, emphasised accuracy sources digital elevation models (DEMs) affect well works, even when DEMs same resolution are used. existing literature demonstrates determining poses significant challenges. Moreover, verifying first second Horton's laws assessing correlations between lacking articles. main objective this article address these gaps by an in-depth study categorization, including values, level input data quality, products generated, applicability laws. By doing so, aims enhance their ranges, significance application watershed management.

Язык: Английский

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GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India

HydroResearch, Год журнала: 2024, Номер 7, С. 315 - 325

Опубликована: Янв. 1, 2024

The current investigation was conducted in the Murredu watershed, situated India. essential datasets, such as digital elevation model (DEM), soil, land use cover (LULC), and rainfall parameters, were processed analysed using a Geographic Information System (GIS) environment. research utilised revised universal soil loss equation (RUSLE) analysis to assess mean watershed. annual calculated be 14.06 t/ha/year, which is high erosion risk. RUSLE results indicate good outcome with an accuracy of 72.8%. Furthermore, area revealed that sub-watersheds (SW) 2 SW 14 had maximum minimum loss, respectively. SDR for known Murredu, 0.227. watershed outlet received sediment transfer rate 3.19 t/ha/year. Through investigation, it determined average yield, while 11 minimum. This provides valuable insights stakeholders, decision-makers, policymakers regarding sustainable ways managing watersheds.

Язык: Английский

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Geoinformatics-Driven Analysis for Watershed Management: Focus on the Manjara River Basin

Journal of Mines Metals and Fuels, Год журнала: 2025, Номер unknown, С. 285 - 294

Опубликована: Фев. 24, 2025

This study investigates the morphometric attributes of Manjara basin in Latur, Maharashtra, India, employing geospatial technology to assess watershed's hydrological and geomorphological properties. Using satellite imagery terrain maps, research evaluates key parameters, including bifurcation ratio (1.279), which suggests minimal branching a more linear network. The drainage density 2.743 km/km² indicates moderate runoff infiltration rates, implying balanced erosion sediment transport processes. A stream frequency 14 reveals highly interconnected network streams, while an elongation 0.712 points compact or rounded watershed shape. Additional findings include relief value 0.057, showing vertical elevation variation, number 39.360, suggesting higher with reduced infiltration, ruggedness 0.1659, reflecting relatively low roughness. significance is assessing surface runoff, groundwater recharge, patterns, stability. These indicators are critical for understanding watershed’s behaviour, contributing effective catchment planning, flood management, sustainable water resource use. study's limitations reliance on remote sensing data, may introduce errors measurement accuracy, static nature analysis, not fully capture temporal variations Future should incorporate dynamic models real-time data enhance predictions drought risks under varying climate conditions. Despite these limitations, results offer insightful information about how design planning strategies current context mounting environmental issues. Major Findings: that Watershed exhibits density, shape, relief, indicating However, high greater limited roughness, influencing

Язык: Английский

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WebGIS-based decision support system for soil erosion risk assessment for Guder River catchment, Ethiopia

Geosystems and Geoenvironment, Год журнала: 2025, Номер unknown, С. 100387 - 100387

Опубликована: Март 1, 2025

Язык: Английский

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Quantitative morphometric analysis using GIS techniques in the Uppar Watershed of the Amaravathi Sub-Basin, Cauvery River, South India

Engineering Geology and Hydrogeology, Год журнала: 2025, Номер 39(1), С. 9 - 26

Опубликована: Апрель 1, 2025

This study showcases the application of quantitative morphometric analysis using remote sensing and GIS-based techniques for analysing maintaining water resources. Morphometric evaluates linear, areal, relief parameters to better understand geological, geomorphological, hydrogeological features basin. The Uppar is an ephemeral stream that originates at altitude 180 m AMSL (Above Mean Sea Level) on southern slope Bodinayakkan Malai mountain (South India). Based Strahler’s ordering system, it classified as a sixth-order stream. indicates first-order streams have greatest total length due basin’s complex geostructural characteristics. Watershed exhibits dendritic drainage pattern in elevated region sub-dendritic plain region. Spanning 1239 km2, located Thiruppur Coimbatore districts, state Tamil Nadu. Its boundaries were delineated Survey India (SOI) toposheets Digital Elevation Model (DEM), with maps generated ArcGIS 10.2.2. Various methods applied assess aspects, including indicators such order, bifurcation ratio, density, etc. result each parameter provide key insights into characteristics Watershed.

Язык: Английский

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Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia

Scientifica, Год журнала: 2024, Номер 2024, С. 1 - 20

Опубликована: Янв. 11, 2024

The application of remote sensing data has been significant in modeling soil erosion. However, previous studies have fallen short elucidating and lacked an understanding the multifactor influencing This study addresses these limitations by employing InVEST Geodetector models. Specifically, it aims (1) to delineate both spatial temporal variations erosion within Citarum watershed from 2010 2020, (2) identify key drivers unravel underlying mechanisms, (3) high-risk zones for Both models consider a range natural predictors, including topography (slope factor), climate (precipitation vegetation cover (vegetation factor). In addition, they incorporate social parameters such as income per capita population density, which interact with watershed’s position downstream, middle, upper streams. results reveal that, over decade, average increased 15.50 × 106 tons, marking 16.65% surge. impact factors varies significantly across different subwatershed areas. For example, fraction interactions influence upper- middle-stream regions, while downstream area is notably affected precipitation interactions. areas are primarily influenced slope, precipitation, fractional cover. areas, causing high risks include other environmental variables categorized into strata. highlights varying influential

Язык: Английский

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Compounding morphometric parameters for prioritization of vulnerable watersheds for land restoration planning in Beas sub basin, India using geospatial techniques

Water Practice & Technology, Год журнала: 2024, Номер 19(3), С. 708 - 729

Опубликована: Фев. 12, 2024

Abstract The Beas sub basin falling under the Indus in Northern India is experiencing notable changes due to human interventions since rise of civilization valley. incessant anthropogenic pressure, infrastructural development, deforestation and encroachment have made more vulnerable land degradation, erosion landslides. Thus this study attempts classify watersheds based on morphometric characteristics prioritize for management as a whole so that restoration process can concentrate high risk prone watersheds. In ALOS PALSAR DEM 12.5 meters was used extract drainage network, watershed, catchment boundary complemented by topographic hydrological maps. analyses 49 parameters categories like linear, areal relief characteristics. result classifies capacity total 4126 streams with cumulative length 12,287.51 km over area 19,338.8 Km2. were integrated each watershed compound factor given rank vulnerability GIS environment. results depicted numbers 2, 6, 12, 16 underlined an which requires immediate attention soil water conservation measures.

Язык: Английский

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Delineation of suitable sites for water conservation structures and groundwater potential zones using integration of remote sensing and GIS: a case study of Central India

Arabian Journal of Geosciences, Год журнала: 2024, Номер 17(5)

Опубликована: Апрель 4, 2024

Язык: Английский

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Assessing soil erosion vulnerability through geospatial morphometric analysis in the Oued Amter Basin (Northwest Morocco)

Euro-Mediterranean Journal for Environmental Integration, Год журнала: 2024, Номер 9(3), С. 1157 - 1180

Опубликована: Май 2, 2024

Язык: Английский

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