Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest

Geocarto International, Год журнала: 2023, Номер 38(1)

Опубликована: Май 3, 2023

We used the Cellular Automata Markov (CA-Markov) integrated technique to study land use and cover (LULC) changes in Cholistan Thal deserts Punjab, Pakistan. plotted distribution of LULC throughout desert terrain for years 1990, 2006 2022. The Random Forest methodology was utilized classify data obtained from Landsat 5 (TM), 7 (ETM+) 8 (OLI/TIRS), as well ancillary data. maps generated using this method have an overall accuracy more than 87%. CA-Markov forecast usage 2022, were projected 2038 by extending patterns seen A CA-Markov-Chain developed simulating long-term landscape at 16-year time steps 2022 2038. Analysis urban sprawl carried out (RF). Through Chain analysis, we can expect that high density low-density residential areas will grow 8.12 12.26 km2 18.10 28.45 2038, inferred occurred 1990 showed there would be increased urbanization terrain, with probable development croplands westward northward, growth centers. findings potentially assist management operations geared towards conservation wildlife eco-system region. This also a reference other studies try project arid are undergoing land-use comparable those study.

Язык: Английский

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Flood susceptibility mapping contributes to disaster risk reduction: A case study in Sindh, Pakistan

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 108, С. 104503 - 104503

Опубликована: Апрель 23, 2024

Floods are a widespread and damaging natural phenomenon that causes harm to human lives, resources, property has agricultural, eco-environmental, economic impacts. Therefore, it is crucial perform flood susceptibility mapping (FSM) identify susceptible zones mitigate reduce damage. This study assessed the damage caused by 2022 flash in Sindh identified flood-susceptible based on frequency ratio (FR) analytical hierarchy process (AHP) models. Flood inventory maps were generated, containing 150 sampling points, which manually selected from Landsat imagery. The points split into 70% for training 30% validating results. Furthermore, fourteen conditioning factors considered analysis developing FSM. final FSM categorized five zones, representing levels very low high. results areas under high Ghotki (FR 4.42% AHP 5.66%), Dadu 21.40% 21.29%), Sanghar 6.81% 6.78%). Ultimately, accuracy was evaluated using receiver operating characteristics area curve method, resulting 82%, 83%), 91%, 90%), 96%, 95%). enhances scientific understanding of impacts across diverse regions emphasizes importance accurate informed decision-making. findings provide valuable insights supportive policymakers, agricultural planners, stakeholders engaged risk management adverse consequences floods.

Язык: Английский

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Land subsidence analysis using synthetic aperture radar data

Heliyon, Год журнала: 2023, Номер 9(3), С. e14690 - e14690

Опубликована: Март 1, 2023

Land subsidence is considered a threat to developing cities and triggered by several natural (geological seismic) human (mining, groundwater withdrawal, oil gas extraction, constructions) factors. This research has gathered datasets consisting of 80 Sentinel-1A ascending descending SLC images from July 2017 2019. dataset, concerning InSAR PS-InSAR, processed with SARPROZ software determine the land in Gwadar City, Balochistan, Pakistan. Later, maps were created ArcGIS 10.8. Due InSAR’s limitations measuring millimeter-scale surface deformation, Multi-Temporal techniques, like are introduced provide better accuracy, consistency, fewer errors deformation analysis. remote-based SAR technique helpful area; for researchers, city mobility constrained become more restricted post-Covid-19. requires multiple acquired same place at different times estimating per year, along uplifting subsidence. The results showed maximum Koh-i-Mehdi Mountain PS-InSAR up −92 mm/year track −66 area Mountain, −48 −32 deep seaport. From our experimental results, high rate been found newly evolving City. very beneficial country’s economic development because its deep-sea port, developed China-Pakistan Economic Corridor (CPEC). associated detailed analysis identifying areas significant subsidence, enlisting possible causes that needed be resolved before further developments. Our findings urban disaster monitoring as being promoted next seaport start CPEC.

Язык: Английский

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GIS-based flood susceptibility mapping using bivariate statistical model in Swat River Basin, Eastern Hindukush region, Pakistan

Frontiers in Environmental Science, Год журнала: 2023, Номер 11

Опубликована: Июль 6, 2023

Frequent flooding can greatly jeopardize local people’s lives, properties, agriculture, economy, etc. The Swat River Basin (SRB), in the eastern Hindukush region of Pakistan, is a major flood-prone basin with long history devastating floods and substantial socioeconomic physical damages. Here we produced flood susceptibility map SRB, using frequency ratio (FR) bivariate statistical model. A database was created that comprised inventory as dependent variable causative factors (slope, elevation, curvature, drainage density, topographic wetness index, stream power land use cover, normalized difference vegetation rainfall) independent variables association between them were quantified. Data collected remote sensing sources, field surveys, available literature, all studied resampled to 30 m resolution spatially distributed. results show about 26% areas are very high highly susceptible flooding, 19% moderate, whereas 55% low SRB. Overall, southern SRB compared their northern counterparts, while slope, curvature vital susceptibility. Our model’s success prediction rates 91.6% 90.3%, respectively, based on ROC (receiver operating characteristic) curve. findings this study will lead better management control risk region. study’s assist decision-makers make appropriate sustainable strategies for mitigation future damage

Язык: Английский

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Quantifying Landscape and Social Amenities as Ecosystem Services in Rapidly Changing Peri-Urban Landscape

Land, Год журнала: 2023, Номер 12(2), С. 477 - 477

Опубликована: Фев. 15, 2023

The peri-urban landscape is a highly dynamic area between the urban zone and rural belt. heterogeneous natural around cities provides several ecosystem services, but progressive urbanization affects it results in loss of biodiversity, greenery, related benefits. This study attempts to quantify social amenities associated with services Gujrat district, Pakistan, by using Contingent Valuation Method (CVM) show that for well-being community. Such recreational opportunities represent are regarded residents, so much significant willingness pay can be them. Therefore, this highlights areas green areas’ landscapes must taken into account when facing economic necessity provide city expansion developing countries, especially aiming achieve development alignment Sustainable Development Goals. their evaluation confirmed as indispensable tools conservation fortification development.

Язык: Английский

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An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge

Groundwater for Sustainable Development, Год журнала: 2023, Номер 23, С. 100998 - 100998

Опубликована: Авг. 14, 2023

Язык: Английский

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Plant Disease Diagnosis with Artificial Intelligence (AI)

Microorganisms for sustainability, Год журнала: 2024, Номер unknown, С. 217 - 234

Опубликована: Янв. 1, 2024

Язык: Английский

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Towards sustainable transportation: A case study analysis of climate-responsive strategies in a developing nation

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 55, С. 104117 - 104117

Опубликована: Фев. 12, 2024

According to the Global Climate Risk Index, Pakistan is fifth most vulnerable nation in world climate change. The growing phenomena of change and global warming have increased on a worldwide level. To combat effects change, transition sustainable transportation system essential. Developed countries evaluated costs benefits such transition. However, developing like rarely investigated this matter thoroughly. So, context, paper case study analyzing transport sector Punjab-Pakistan achieve some targets for transportation. analysis carried out by using energy model Low Emission Analysis Platform (LEAP) from 2019 2050. Three scenarios are made, i.e., Business as Usual Scenario (BAUS) following current policies, Efficient Combustion (ECS), Electrical Vehicle (EVS) figure environmental social costs. It concluded that 2050, ECS EVS will reduce carbon dioxide emissions 21.6 18.5 million metric tons equivalent, compared Business-as-Usual Scenario. These savings terms cost be $ 157.1 134.6 Electric This research may help find suitable policy decisions at provincial level enhance sustainability increasing share electric vehicles Punjab, results replicated whole country South Asia.

Язык: Английский

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Use Cases and Future Aspects of Intelligent Techniques in Microbial Data Analysis

Microorganisms for sustainability, Год журнала: 2024, Номер unknown, С. 259 - 280

Опубликована: Янв. 1, 2024

Язык: Английский

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Sustainable AI-Driven Applications for Plant Care and Treatment

Microorganisms for sustainability, Год журнала: 2024, Номер unknown, С. 235 - 258

Опубликована: Янв. 1, 2024

Язык: Английский

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