Ten Billion Tree Tsunami Project Reveals Climate Change Mitigation and Precipitation Increase in Khyber Pakhtunkhwa Province, Pakistan DOI
Muhammad Aleem, Shahbaz Nasir Khan, Muhammad Umar Akbar

et al.

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Language: Английский

Assessing climatic impacts on land use and land cover dynamics in Peshawar, Khyber Pakhtunkhwa, Pakistan: a remote sensing and GIS approach DOI
Rana Waqar Aslam, Iram Naz, Abdul Quddoos

et al.

GeoJournal, Journal Year: 2024, Volume and Issue: 89(5)

Published: Aug. 31, 2024

Language: Английский

Citations

21

Assessing access to safe drinking water in flood-affected areas of District Nowshera, Pakistan: A case study towards achieving sustainable development goal 6.1 DOI
Muhammad Tufail, Muhammad Nasir, Aqil Tariq

et al.

Ecohydrology & Hydrobiology, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Language: Английский

Citations

8

Spatio-Temporal Analysis of Hydrometeorological Variables for Terrestrial and Groundwater Storage Assessment DOI
Muhammad Shareef Shazil, Sheharyar Ahmad, Syed Amer Mahmood

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101333 - 101333

Published: Sept. 4, 2024

Language: Английский

Citations

8

Exploring Rangeland Dynamics in Punjab, Pakistan: Integrating LULC, LST, and Remote Sensing for Ecosystem Analysis (2000–2020) DOI
Feng Li, Iram Naz, Abdul Quddoos

et al.

Rangeland Ecology & Management, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

5

The spatiotemporal changes and influencing mechanisms of the coastline in the Yellow River Delta, China DOI Creative Commons
Zhuo Yang, Wei Gao,

Wen-Jie Yu

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 6, 2025

Using remote sensing imagery of the Yellow River Delta (YRD) from 1984 to 2024, Digital Shoreline Analysis System (DSAS) model was employed analyze coastline position, migration rate, and characteristics four typical coastal sections. The response changes in study area global climate change human activities quantitatively assessed. Over past 40 years, modern YRD has generally advanced seaward at an average rate 109.64 m/a. This progression can be divided into three distinct phases: (i) rapid transition period 2000, during which total length reached its maximum nearly 440.65 km last years. In 1986, proportion artificial surpassed that natural for first time. (ii) A decreasing trend characterized slow 2000 2015. types continued previous period, with coastlines exceeding 90% time 2015, marking highest (iii) stable 2015 present, shown increasing trend. stabilized, while growth been concentrated around estuary. However, increase gradually slowed due water sediment regulation projects 2001. evolution shifted early control by river diversions a current primary influence human-driven land reclamation projects. Coastal present estuarine sections are mainly controlled inflows, abandoned northern channels experience pronounced effects extreme weather, such as cold wave-induced winds. Additionally, factors sea-level rise delta subsidence caused compaction have lowered relative elevation coastline, further accelerating erosion retreat. these had lesser impact on than activities.

Language: Английский

Citations

0

Quantifying Climate Change Impacts on Hydrological Dynamics and Sedimentation Using GIS and SWAT+ Modelling DOI
Sheharyar Ahmad, Muhammad Shareef Shazil, Syed Amer Mahmood

et al.

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(2)

Published: Feb. 1, 2025

ABSTRACT Climate change significantly impacts natural hydrological systems worldwide, affecting water availability and sedimentation dynamics. The upper Indus Basin is one of the most crucial basins in South Asia, which undergoing severe climatic variations, resulting extreme flooding. This study examines impact climate on cycle, availability, dynamics Shyok River basin Karakoram region. focuses investigating increasing outflows a seasonal basis, as found previous studies, by utilising daily river discharge data between 2003 2014 at Yugo hydrographic station operated WAPDA with geographic information (GIS), SWAT+ (Soil Water Assessment Tool), remote sensing, statistical techniques. To analyse variables, using only available ground weather stations inside basin, we have utilised ERA 5 reanalysis dataset to evaluate precipitation temperature trends. significance ERA5‐derived variables has been assessed Mann‐Kendall test, Sen's slope analysis Coefficient Determination R 2 from 2000 2020 monthly basis. Analysis reveals decline flow July October general upward trend during last 20 years, such significant decrease streamflow simulated trend, was 293 m 3 /s 2005 dropped 158 2017. In contrast, maximum actual vs. decreased 10 2010 2019, respectively. increased approximately 1.5°C. Seasonal an winter, while other seasons shown fluctuating Where trends were be non‐significant, p > 0.05. An sediment load model output suggests active erosion channel rate 40 megatons/ha. highlights It attempts contribute existing literature evaluation climate‐induced changes morphology. also necessity continuous scale.

Language: Английский

Citations

0

Regional differences and distribution dynamic evolution of rural digital economy development under the background of sustainable development DOI
Li Shu

GeoJournal, Journal Year: 2025, Volume and Issue: 90(2)

Published: Feb. 20, 2025

Language: Английский

Citations

0

The Impact of Artificial Intelligence on the Sustainability of Regional Ecosystems: Current Challenges and Future Prospects DOI Open Access
Sergiusz Pimenow, Olena Pimenowa, Piotr Prus

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(11), P. 4795 - 4795

Published: May 23, 2025

The integration of artificial intelligence (AI) technologies is reshaping diverse domains human activity, including natural resource management, urban and rural planning, agri-food systems, industry, energy, education, healthcare. However, the impact AI on sustainability local ecosystems remains insufficiently systematized. This highlights need for a comprehensive review that considers spatial, sectoral, socio-economic characteristics regions, as well interdisciplinary approaches to sustainable development. study presents scoping 198 peer-reviewed publications published between 2010 March 2025, focusing applied cases deployment in contexts. Special attention given role monitoring water, forest, agricultural ecosystems, facilitating digital transformation businesses territories, assessing ecosystem services, managing energy supporting educational social sustainability. includes case studies from Africa, Asia, Europe, Latin America, covering wide range technologies—from machine learning twins IoT large language models. Findings indicate holds significant potential enhancing efficiency adaptability systems. Nevertheless, its implementation accompanied by notable risks, disparities, technological inequality, institutional limitations. concludes outlining research priorities into emphasizing importance cross-sectoral collaboration scientific support regional transformations.

Language: Английский

Citations

0

Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin DOI Creative Commons
Hua Wang,

Haolin Xu,

Xuefei Hong

et al.

Geocarto International, Journal Year: 2024, Volume and Issue: 39(1)

Published: Jan. 1, 2024

Language: Английский

Citations

1

Ten Billion Tree Tsunami Project Reveals Climate Change Mitigation and Precipitation Increase in Khyber Pakhtunkhwa Province, Pakistan DOI
Muhammad Aleem, Shahbaz Nasir Khan, Muhammad Umar Akbar

et al.

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Language: Английский

Citations

0