Evaluation of ecological space and ecological quality changes in urban agglomeration on the northern slope of the Tianshan Mountains

Ecological Indicators, Journal Year: 2023, Volume and Issue: 146, P. 109896 - 109896

Published: Jan. 14, 2023

Rapid urbanization and human activities make the contradiction between ecological environment more obvious, maintaining balance achieving harmonious development living has also become main goal of sustainable development. The urban agglomeration on northern slope Tianshan Mountains (UANSTM) is a typical arid inland emerging agglomeration, relationship here very sensitive. To reveal spatiotemporal changes in quality UANSTM from 2000 to 2020, this study used Google Earth Engine (GEE) platform, calculating remote sensing index (RSEI) based MODIS data products, addition an space atlas Land-Use Land-Cover Change (LUCC) sets. At same time, geographical detector model (GDM) been exploring influencing factor RSEI. result shows that 1) mean value RESI area continued rise first 15 decreased slightly last 5 a. 2) In past 20 a, improvement obvious (IO) gradually expanded, proportion increased. sum areas deterioration (DO) slight (DS) far smaller than (IS) (IO), which indicates UANSTMN tends improve. 3) distribution land (EL) > semi-ecological (SEL) weak (WEL). EL decreasing, while SEL WEL increasing. 4) RSEI greenness, interaction heat, dryness, greenness had effect better with higher wet, lower dryness or heat.

Language: Английский

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Spatial–temporal evolution and driving force analysis of eco-quality in urban agglomerations in China

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 866, P. 161465 - 161465

Published: Jan. 7, 2023

Language: Английский

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Long-time series ecological environment quality monitoring and cause analysis in the Dianchi Lake Basin, China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 148, P. 110084 - 110084

Published: March 5, 2023

As the core area in transformation of Kunming into an international center city, studying changes ecological environment quality and causes Dianchi Lake Basin is great significance for its future optimization landscape pattern. This study based on Google Earth Engine (GEE) platform to calculate Remote Sensing Ecological Index (RSEI) from 1990 2020. Then we used Mann-Kendall mutation detection obtain time points when significant RSEI occurred. Finally, Geodetector MGWR models were combined analyse driving factors Basin. The results show that: (1) showed increasing trend 2020, with mean value 0.49 0.52. (2) According test, years 1990, 1993, 2006, 2015, 2020 as monitoring over a long series. past 30 was mainly improved state, accounting 49.43%. deterioration areas are located northeastern part Xishan District (north Caohai Lake), southwestern Guandu District, Kunyang Town Jining northern Jincheng Shangsuan Town. (3) single factor that elevation slope have strongest influence RSEI. q-value average annual temperature has changed most, 6th 3rd place. indicates urban heat island effect expansion construction land had greater impact local recent years. multi-factor interaction test shows each enhanced after interaction. (4) regression actual scales action inconsistent, most spatial heterogeneity Percentage cropland area. Based above findings, it can provide data support planning It also provides new means integrating analysis.

Language: Английский

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Regional sustainability: Pressures and responses of tourism economy and ecological environment in the Yangtze River basin, China

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: Feb. 24, 2023

The relationship between the tourism economy and ecological environment is under pressure, balancing this crucial for promoting regional sustainability. In study, Yangtze River basin, first largest river in Asia third world, was selected as focus area. spatial temporal characteristics of economic development environmental pressure from 2000 to 2019 were analyzed using index, index dynamic change decoupling process system studied dynamically analysis model. results show that (1) spatially, basin exhibits a pattern high east low west, south north. Ecological pressures varied greatly, with less upstream provinces more middle downstream provinces. (2) Temporally, economies Qinghai Tibet started lower but faster growth rate, while Hunan Hubei have higher starting point limited change. changes do not clear distribution pattern. (3) moving toward harmonious development. Achieving balance two systems maintaining

Language: Английский

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Spatial-temporal variation, driving mechanism and management zoning of ecological resilience based on RSEI in a coastal metropolitan area

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111447 - 111447

Published: Jan. 1, 2024

Urbanization results in drastic land use/cover change (LUCC) and ecological resilience (ER) issues, which has become an important urgent question of regional sustainability. This study applied the remote sensing index (RSEI) to represent ER, further combined ordinary least squares (OLS), Google Earth Engine (GEE) platform analyze spatiotemporal variations ER LUCC at city scales from 1990 2020 Hangzhou Bay Metropolitan Area (HBMA), explore relationship between LUCC, apply for urban management zoning. The demonstrated that HBMA showed a characteristic "slightly worse overall improved locally", mean value decreased 0.508 0.502 2020. Specifically, Shanghai, Shaoxing, Ningbo increased, others decreased. exhibited very obvious spatial aggregation feature "high southwest low northeast". dynamic depicted expansion construction was expense occupying cropland. degree population have significant negative effects on ER. zoning could be divided into five zones, namely core protection area, monitoring optimization restoration potential governance area. Results this provide more comprehensive understanding metropolitan areas implication provided improve adaptation sustainable development coastal

Language: Английский

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Spatiotemporal variations in eco-environmental quality and responses to drought and human activities in the middle reaches of the Yellow River basin, China from 1990 to 2022

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102641 - 102641

Published: May 8, 2024

The middle reaches of the Yellow River basin (MYRB) are among regions most severely affected by soil erosion globally. It has always held a pivotal role in and water conservation ecological restoration efforts China. Nonetheless, face recurrent drought occurrences growing human intervention, there have been notable alterations eco-environmental quality (EEQ) within MYRB. However, influences intervention on EEQ MYRB remain unclear. In this study, remote sensing index (RSEI) was applied to quantify spatiotemporal changes contributions land use type transitions from 1990 2022. results showed that fluctuated significantly exhibited weak overall improvement trend over past 33 years. proportion good excellent grades for improved, while poor fair decreased, especially northern regions. follows phased pattern. During periods 1990–2002 2011–2022, an improving is observed, period 2003–2010 shows no significant change EEQ. Drought had strongest influence 2003 2010, followed 2002, lesser impact 2011 primarily positively influenced spring, autumn winter droughts negatively summer droughts, arid grassland unused areas. improved during initial final phases projects, with drought. increase project implementation less noticeable, period.

Language: Английский

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Spatiotemporal evolution and multi-scale coupling effects of land-use carbon emissions and ecological environmental quality

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 922, P. 171149 - 171149

Published: Feb. 24, 2024

Language: Английский

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Coupling coordination analysis of urbanization and ecological environment in Chengdu-Chongqing urban agglomeration

Ecological Indicators, Journal Year: 2024, Volume and Issue: 161, P. 111969 - 111969

Published: April 1, 2024

As the fourth pole of China's economic growth, Chengdu-Chongqing urban agglomeration plays a significant role in reinforcing ecological barrier upper reaches Yangtze River, and is crucial for environmental protection strategies. In this paper, Google Earth Engine (GEE) MODIS images from 2000, 2005, 2010, 2015, 2022 were utilized to construct Improved Remote Sensing Ecological Index (IRSEI) characterize quality more accurately than RSEI. Additionally, combined with nighttime light remote sensing data, land use data socio-economic GDP sub-industry spatialization model was analyze urbanization process depth. To dynamically monitor evaluate interaction between environment quality, coupling coordination incorporating above methods developed. The results show that (1) effective information IRSEI analysis increased by 3.26% compared RSEI, correlation each index higher; (2) peaked 2005 has been declining since then, rate decline gradually slowing down 2022; (3) suitable characterizing scattered villages, can effectively exhibit process. From 2000 2022, rapidly developed, level core cities such as Chengdu Chongqing far exceeded those neighboring cities; (4) generally increased, indicating ongoing improvements synergy agglomeration. This study developed method quickly monitoring assessing relationship using model, provides scientific analytical support governing emerging agglomerations.

Language: Английский

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Analysis of Spatiotemporal Variation and Drivers of Ecological Quality in Fuzhou Based on RSEI

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(19), P. 4900 - 4900

Published: Sept. 30, 2022

Background: High-speed urbanization has brought about a number of ecological and environmental problems, as well the use remote sensing to monitor urban environment explore main factors affecting its changes. It is important promote sustainable development cities. Methods: In this study, we quantify quality study area from 2000 2020 based on index (RSEI) analyze drivers through Geodetector geographically weighted regression. Results: The RSEI Fuzhou City showed an increasing followed by decreasing trend, with obvious spatial autocorrelation. driving causing divergence were elevation (q = 0.48–0.63), slope (0.42–0.59), GDP (0.3–0.42), effect range each factor changed time. Conclusion: paper, changes in over past 20 years, scope magnitude drivers, providing reference basis improve city.

Language: Английский

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Time-frequency optimization of RSEI: A case study of Yangtze River Basin

Ecological Indicators, Journal Year: 2022, Volume and Issue: 141, P. 109080 - 109080

Published: June 22, 2022

Remote Sensing Ecological Index (RSEI) is one of the most widely used ecological quality assessment indicators. Due to noise caused by adverse atmoshperic conditions and other factors, RSEI calculated from original image usually has phenomena lack information unstable quality. Therefore, based on Google Earth Engine (GEE) cloud platform, this study adopts three common data reconstruction algorithms firstly, namely: Savitory-Golay filter (SG), harmonic analysis time series (HANTS), Whittaker Smoother (WS), which are reconstruct MODIS in Yangtze River Basin (YRB) 2000 2020, order optimize calculation process RSEI. At same time, indicators (correlation coefficient (R), standard deviation (STD), root mean square error (RMSE)) for accuracy evaluation. The results show that can fill gaps RSEI, performance WS SG four parameters better than HANTS, reconstructed sequences have strongest correlation with (R between 0.8 ∼ 1), while sequence lowest value (both STD RMSE less both them correct pixel value, conducive maintaining stability temporal dimension; produced HANTS best accuracy, is, R, STD, respectively 0.898, 0.130, 0.104. As shown research, it necessary de-noise each parameter before synthesizing This provide a theoretical basis applying time-frequency monitoring

Language: Английский

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