Quantitative Assessment of Urban Expansion Impact on Vegetation in the Lanzhou–Xining Urban Agglomeration DOI Creative Commons

Wensheng Wang,

Wenfei Luan,

Haitao Jing

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(19), С. 8615 - 8615

Опубликована: Сен. 24, 2024

The Rapid expansion of the Lanzhou–Xining (Lanxi) urban cluster in China during recent decades poses a threat to fragile arid environment. Quantitatively assessing impact on vegetation Lanxi has profound implications for future sustainable planning. This study investigated dynamics and its impacts regional between 2001 2021 based time series land cover data auxiliary remote sensing data, such as digital elevation model (DEM) nighttime light administrative boundary data. Thereinto, were evaluated using annual Land Cover Dataset (CLCD, 2001–2021). Urban assessed via Vegetation Disturbance Index (VDI), an index capable quantitatively positive negative at pixel level, which can be obtained by overlaying Enhanced (EVI) rainfall major findings indicate that: (1) Over past two decades, region experienced rapid expansion, with built-up area expanding from 183.50 km2 294.30 km2, is average rate 2.39%. Notably, Lanzhou, Baiyin, Xining dominated expansion. (2) negatively affected approximately 53.50 vegetation, while about 39.56 saw impacts. effects mainly due loss cropland grassland. Therefore, cities drylands should balance development conservation strictly controlling grassland occupancy promoting intelligent growth.

Язык: Английский

Planning for green infrastructure by integrating multi-driver: Ranking priority based on accessibility equity DOI Creative Commons
Xinyu Dong, Runjia Yang, Yanmei Ye

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105767 - 105767

Опубликована: Авг. 29, 2024

Язык: Английский

Процитировано

5
Sensitive shrubland and unique urbanization patterns: the key to understanding emerging towns growth in arid regions DOI Creative Commons
Qi Zhang,

Junling He,

Chunying Ren

и другие.

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(3)

Опубликована: Фев. 11, 2025

The urbanization process is complex and lengthy, typically resulting in dual changes the socioeconomic structure ecological environment. However, context of arid environments initial urbanization, emerging towns undergo evolutionary processes different from those traditional cities. This study focuses on a typical town, analyzing its growth under combined effects conditions incipient urbanization. results reveal unique trajectory hinterland southern Xinjiang: transitioning refined agricultural planting to shrubland bare land dominated by natural factors then impervious surfaces. While pattern was complex, direction transition clear. Using town's establishment 2014 as critical node for initiation, emerged most sensitive type, with proportional increase factor 2.6 2010 2015. driven abandonment cultivated land, which decreased 11.3% during period, 78% newly added area converted cropland. By applying Markov model together InVEST model, predicted urban land-use patterns over next 5 years revealed that primarily exacerbates instability water yield surrounding region. uniquely addresses gap understanding impacts regions associated processes. A detailed investigation such crucial mitigating issues like disorderly use promoting sustainable development small medium-sized towns.

Язык: Английский

Процитировано

0
Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX, Decision Trees, and Artificial Neural Networks DOI
João V. R. de Andrade,

I. Silva,

Teobaldo Gabriel de Souza Júnior

и другие.

Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 167 - 179

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Quantitative Assessment of Urban Expansion Impact on Vegetation in the Lanzhou–Xining Urban Agglomeration DOI Creative Commons

Wensheng Wang,

Wenfei Luan,

Haitao Jing

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(19), С. 8615 - 8615

Опубликована: Сен. 24, 2024

The Rapid expansion of the Lanzhou–Xining (Lanxi) urban cluster in China during recent decades poses a threat to fragile arid environment. Quantitatively assessing impact on vegetation Lanxi has profound implications for future sustainable planning. This study investigated dynamics and its impacts regional between 2001 2021 based time series land cover data auxiliary remote sensing data, such as digital elevation model (DEM) nighttime light administrative boundary data. Thereinto, were evaluated using annual Land Cover Dataset (CLCD, 2001–2021). Urban assessed via Vegetation Disturbance Index (VDI), an index capable quantitatively positive negative at pixel level, which can be obtained by overlaying Enhanced (EVI) rainfall major findings indicate that: (1) Over past two decades, region experienced rapid expansion, with built-up area expanding from 183.50 km2 294.30 km2, is average rate 2.39%. Notably, Lanzhou, Baiyin, Xining dominated expansion. (2) negatively affected approximately 53.50 vegetation, while about 39.56 saw impacts. effects mainly due loss cropland grassland. Therefore, cities drylands should balance development conservation strictly controlling grassland occupancy promoting intelligent growth.

Язык: Английский

Процитировано

0