Modeling the impact of land use changes on the trend of monthly temperature in Basrah province, Southern Iraq

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(3), P. 3727 - 3744

Published: March 25, 2024

Language: Английский

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Impacts of land cover changes on dust emissions in northern China (2000–2020)

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(8), P. 2800 - 2812

Published: March 11, 2024

Abstract Land cover is a key factor affecting dust emissions. Substantial changes in land have occurred due to human activities and climate change northern China. However, the extent which these influence emissions still controversial. Here, we explored specific impact of use type transformation on between 2000 2020 by using Weather Research Forecasting model coupled with Chemistry (WRF‐Chem) from perspective changes. Two scenarios were set up compared quantify this impact. One scenario was data 2000, other 2020. Both driven initial meteorological conditions Results indicated that reduced China, but weakened intensity showed obvious spatial differences. Different conversion types had significant differences their Transforming bare areas water bodies can reduce −3.62 g m −2 year −1 . This followed sparse vegetation areas, decrease −2.9 , then cropland, reduction −2.57 These findings offer methodologies support for quantitative evaluation effects They also serve as reference environmental management when formulating policies.

Language: Английский

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Effects of land use and land cover change under shared socioeconomic pathways on future climate in the Yellow River basin, China

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101867 - 101867

Published: March 15, 2024

Language: Английский

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Utilizing Remote Sensing for Monitoring Land Cover Changes and Land Surface Temperature Fluctuations

Geofizika, Journal Year: 2025, Volume and Issue: 41(2), P. 1 - 25

Published: Jan. 14, 2025

Land cover change detection supports many kinds of environmental and human development initiatives in both developed developing countries over the past twenty-three years, Laos has experienced massive changes land use resulting corresponding increases surface temperature. These have been little studied or evaluated empirically. To address this gap, research study focused on tracking (LCCD) temperature (LST) area Thakhet Laos. Landsat 5, 8, Modis datasets were used to analyze relationship between LST from 2000 2023. According LCCD results, forest decreased 46,912 km² 33,955 2023, likely due activities urban transition, while bare increased agricultural decreased. In values varied widely. The lowest recorded value is 24°C highest 33°C. ranged 20°C 41°C, indicates an increase temperatures compared previous years overall. observed areas, such as population movement, economic development, industrialization, job creation could be a factor driving change.

Language: Английский

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Temporal land use change and its effects on climate in Elmalı basin using GIS and remote sensing

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Language: Английский

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From natural to anthropogenic: Hydrochemical evolution of groundwater in the Yellow River basin over the past decade

Applied Geochemistry, Journal Year: 2025, Volume and Issue: unknown, P. 106331 - 106331

Published: Feb. 1, 2025

Language: Английский

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Patterns of blue and green water in the Yellow River Basin from 1998 to 2020: Influence of climate change and human activity

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102367 - 102367

Published: April 11, 2025

Language: Английский

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Effects of Land Use/Cover and Meteorological Changes on Regional Climate under Different SSP-RCP Scenarios: A Case Study in Zhengzhou, China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(10), P. 2601 - 2601

Published: May 16, 2023

To better understand the possible role of projected land use and cover change (LUCC) in future regional climate projections, we explored response from use/cover under different scenarios. do so, propose a research framework based on SSP-RCPs to simulate explore impacts changes Zhengzhou City, China, using Weather Research Forecasting (WRF) model with meteorological data SSP-RCP scenarios CMIP6. Two scenarios, SSP2-4.5 SSP5-8.5, were compared analyzed by simulating factors temperature at 2 m height above ground(T2) precipitation. The results show that T2 is higher for all 4 months year 2060 2030. Furthermore, comparison abovementioned years showed mean temperatures January July than those SSP5-8.5 scenario both years, but 2030, April October lower scenario. In terms precipitation, have no significant precipitation 2030 2060, there an unusual increase October.

Language: Английский

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Unveiling Climate–Land Use and Land Cover Interactions on the Kerch Peninsula Using Structural Equation Modeling

Climate, Journal Year: 2024, Volume and Issue: 12(8), P. 120 - 120

Published: Aug. 12, 2024

This paper examines the effects of climatic factors, specifically temperature and precipitation, on land use cover (LULC) Kerch Peninsula using structural equation modeling (SEM). The Normalized Difference Vegetation Index (NDVI) was used as a mediator in model to accurately assess impact climate change vegetation subsequent LULC dynamics. results indicate that exerts significant negative influence early periods, inducing stress leading degradation. However, this diminishes over time, possibly due ecosystem adaptation implementation resilient management practices. In contrast, precipitation LULC, which is initially minimal, increases significantly, highlighting need for improved water resource measures mitigate excessive moisture. NDVI plays crucial mediating role, reflecting health density response variables. An analysis lagged shows both exert delayed underscoring complexity dynamics responses conditions. These have important practical implications strategies. Understanding nuanced interactions between factors can inform development agricultural systems, optimized practices, effective planning. Future research should focus refining models incorporate nonlinear interactions, improving data accuracy, expanding geographic scope generalize findings. study highlights importance continuous monitoring adaptive develop sustainable practices withstand challenges change.

Language: Английский

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Research Hotspots and Trends in the Environment Condition of the Yellow River Basin (2014–2024): A Bibliometric and Visualization

Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2359 - 2359

Published: Aug. 23, 2024

The Yellow River holds significant developmental and historical importance for China. Over the past decade, there has been a growing recognition of river basin’s complexity as hydrological, ecological, economic, political, social system. Therefore, analyzing its research hotspots trends helps to anticipate future directions. This study utilized bibliometric software (such VOSviewer CiteSpace) analyze articles related ecological environment Basin over 11 years (2014–2024). results indicate that total 2096 have published on this topic, with an almost annual increase in publications. Keyword co-occurrence clustering network analysis middle lower reaches Loess Plateau, delta, water quality flow changes long-term focuses. Climate change plays dominant role runoff variation. In recent years, steadily improved, although delta erosion issues remain unresolved. Research sustainable development ecosystem services become trend. With continuous policy development, refinement, advancements research, progress made enhancing achieving Basin. Regarding international collaboration, China, United States, Australia, Kingdom, Germany rank among top five, most intensive collaborations occurring between China US, UK, Germany.

Language: Английский

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