Remote sensing and information value (IV) model for regional mapping of fluvial channels and topographic wetness in the Saudi Arabia

Mohamed, Mohamed M.; Elmahdy, Samy Ismail

doi:10.1080/15481603.2016.1169741

Cited by 10 publications

(2 citation statements)

References 25 publications

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“…GIS has been extensively used to study the effects of urban and land development on groundwater quality [132]. The geographical relationship between LULC changes and trends in groundwater quality has been explored by numerous studies [133,134]. Most of these studies have been conducted to evaluate the effects of fast changes in LULC mapped using manual screen digitizing, which introduces bias and is prone to subjectivity [135].…”

Section: Impact On Quality and Quantitymentioning

confidence: 99%

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Yadav¹

2023

Groundwater - New Advances and Challenges

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Globally, the climate is becoming drier and wetter because of climate change. Variations in land use and land cover (LULC) brought on by humans have impacted hydrological elements, including recharge and runoff, throughout the past few decades. Agriculture, forestry, urbanization, recreational activities, and industrialization are all land uses that impact groundwater resources. For example, anthropogenic activities have an increased impact on impervious surfaces and storm drains, which divert precipitation away from highways. Similarly, groundwater resources are negatively impacted by the increased urbanization of areas in two fundamental ways: first, by blocking up aquifers with concrete, which prevents natural recharge; second, by polluting groundwater through drainage leaks and industrial waste and effluents. Therefore, the long-term temporal and seasonal variations in LULC change significantly impact groundwater flow dynamics. Numerous factors influence LULC change, including hard-to-follow social and biophysical processes, that ultimately lead to a complex and dynamic system. As a result, an evaluation of the effects of LULC changes on recharge is required to manage groundwater resources to be sustainable.

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Section: Impact On Quality and Quantitymentioning

confidence: 99%

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Yadav¹

2023

Groundwater - New Advances and Challenges

View full text Add to dashboard Cite

show abstract

“…This provides information on the spatial arrangement of color or intensities in an image [27][28][29]; extraction was performed using a PCA analysis, performed during the spectral feature extraction sub-step. Thus, textural features of images were analyzed in this study using eight common indexes [30,31] encompassing mean, variance, homogeneity, contrast, dissimilarity, entropy, angular second moment, and correlation. Following these two sub-steps, spectral and textural features were then fused to create new satellite images which were used as the basis for greenhouse land cover classification.…”

Section: Greenhouse Land Cover Mappingmentioning

confidence: 99%

Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China

Song

Lang

2017

Sustainability

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Abstract:As an important facet of modern agricultural development, greenhouses satisfy ever-increasing demands for agricultural production and, therefore, constitute a growing proportion of global agriculture. However, just a handful of countries regularly collect statistics on the land cover of greenhouse infrastructure. Even when collected, these data cannot provide the detailed spatial information required for environmental risk assessment. It is, therefore, important to map spatial changes in greenhouse land cover using remote sensing (RS) approaches to determine the underlying factors driving these changes. In this paper, we apply a support vector machine (SVM) algorithm to identify greenhouse land cover in Shouguang City, China. Enhanced thematic mapper (ETM) images were selected as the data source for land use classification in this study as they can be freely acquired and offer the necessary spatial resolution. We then used a binary logistic regression model to quantitatively discern the mechanisms underlying changes in greenhouse land cover. The results of this study show that greenhouse land cover in Shouguang increased by 50.51% between 2000 and 2015, and that 90.39% of this expansion took place between 2010 and 2015. Elevation, slope, precipitation, and the distance to the nearest rural settlements and coastline are all significant factors driving expansion in greenhouse land cover, while distance to the nearest urban areas, rivers, roads, railways, and coastline have contributed to contractions in this land use type. Our research provided a practical approach to allow the detection of changes in greenhouse land cover in the countries with using free or low-cost satellite images.

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Process Metallurgy and Genetic Algorithm Multi‐Objective Optimization of Blast Furnace Hearth Working State

Shi,

Tang,

Chu

2024

steel research int.

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The working state of the blast furnace (BF) hearth is vital for achieving high efficiency, quality, low fuel consumption, and extended lifespan in BF production. In this study, optimizing the BF hearth by considering three key factors is focused on: hot metal temperature (HMT), silicon content ([Si]), and hearth activity index (HAI). A multi‐objective and multistep optimization method, combining prediction models of HMT, [Si], and HAI with a genetic algorithm, is proposed to enhance the hearth's performance. A Pareto optimal solution set screening method is also established based on target thresholds, weights, and operation priorities, improving its applicability in industrial production. Through this model, significant improvement in hearth working state is demonstrated, verified through case analysis and industrial applications. The prediction model achieves high accuracy in forecasting HMT, [Si], and HAI, with hit rates of 92.26%, 93.45%, and 94.64%, respectively. During the application, the pass rates of these indicators increase by 8.32%, 16.67%, and 13.51%, showcasing the effectiveness of the approach in industrial settings.

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Remote sensing and information value (IV) model for regional mapping of fluvial channels and topographic wetness in the Saudi Arabia

Cited by 10 publications

References 25 publications

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Land Cover Change and Its Impact on Groundwater Resources: Findings and Recommendations

Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China

Process Metallurgy and Genetic Algorithm Multi‐Objective Optimization of Blast Furnace Hearth Working State

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