Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер 38(12), С. 4669 - 4695
Опубликована: Ноя. 13, 2024
Язык: Английский
Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер 38(12), С. 4669 - 4695
Опубликована: Ноя. 13, 2024
Язык: Английский
Journal of Cleaner Production, Год журнала: 2025, Номер 495, С. 145022 - 145022
Опубликована: Фев. 17, 2025
Язык: Английский
Процитировано
4Journal of Environmental Management, Год журнала: 2023, Номер 349, С. 119441 - 119441
Опубликована: Ноя. 9, 2023
Язык: Английский
Процитировано
41Environmental Technology & Innovation, Год журнала: 2023, Номер 32, С. 103372 - 103372
Опубликована: Сен. 22, 2023
Reviewing the coupling coordination between urban ecological resilience (UER) and new-type urbanization (NU) has gradually become a necessary condition for understanding structure service patterns of systems. Discussion on temporal spatial evolution in UER NU agglomerations with different characteristics is beneficial operational mechanisms ecosystems. This work constructs novel evaluation framework process NU, scientifically measures performance each indicator using entropy method CRITIC method. By degree (CCD) model, this paper explores spatio-temporal effects relationship which narrowed cognitive gap. Using Chengdu-Chongqing Economic Circle China as an example, validity practicality are verified. The results show that CCD generally shows rapid growth trend time tends to be balanced; development significant differences influenced by factors such location advantage, natural resources, human social activities. These findings can provide decision-making information reference system services, livability, government planning.
Язык: Английский
Процитировано
34Ecological Indicators, Год журнала: 2023, Номер 154, С. 110733 - 110733
Опубликована: Июль 31, 2023
Clarifying the impact of anthropogenic factors on ecosystem service value (ESV) is crucial to achieving sustainable development. However, dynamics human-disturbed complex ESVs vary from region region, and specific mechanism this remains unclear, confusing land use planning. Therefore, study focuses Urban Agglomeration around Poyang Lake in a typical area China, uses improved equivalent factor analyze ESV estimation spatial–temporal change, employs Geographically Weighted Regression model Geographical Detectors explore regional differences mechanisms ESV. The results indicate that has increased 2000 2020, with slowed-down growth rate. Spatially, shows decreasing trend core periphery as distance lake increases. Further analysis reveals significant spatial heterogeneity ESV, more potent interaction effects than single effects. Specifically, there strong between urban development industrial/agricultural factors. Furthermore, anthropogenic-driven forces affecting become increasingly peripheral area. These findings provide valuable insights into distribution, dynamics,
Язык: Английский
Процитировано
28Land Use Policy, Год журнала: 2024, Номер 142, С. 107180 - 107180
Опубликована: Апрель 25, 2024
Язык: Английский
Процитировано
16Cities, Год журнала: 2024, Номер 151, С. 105130 - 105130
Опубликована: Июнь 1, 2024
Язык: Английский
Процитировано
15Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105735 - 105735
Опубликована: Авг. 8, 2024
Язык: Английский
Процитировано
13Habitat International, Год журнала: 2024, Номер 153, С. 103206 - 103206
Опубликована: Окт. 21, 2024
Язык: Английский
Процитировано
12Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105712 - 105712
Опубликована: Июль 27, 2024
Язык: Английский
Процитировано
11Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105443 - 105443
Опубликована: Апрель 14, 2024
Язык: Английский
Процитировано
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