Renewable Energy, Год журнала: 2022, Номер 195, С. 1028 - 1036
Опубликована: Май 20, 2022
Язык: Английский
Ecological Indicators, Год журнала: 2023, Номер 148, С. 110105 - 110105
Опубликована: Март 8, 2023
Elucidating the response mechanism of variation in vegetation trend to determinant is great value environmental resource management, particularly significant ecologically fragile area. The Liaohe River Basin (LRB) a key part eco-security China, which has experienced apparent climatic variations and intensified human activities recent decades. Yet, it still remains not clear about drivers shaping spatio-temporal patterns growth. Here, normalized difference index (NDVI) was utilized investigate coverage from 2000 2019. Then, we incorporated partial derivatives analysis conduct attribution analyses greening light meteorological data. prime findings are as follows: (1) LRB presented growing state 20 years at rate 0.0031/a, with spatial temporal heterogeneity due its slope; (2) results showed that average contribution precipitation, temperature, solar radiation NDVI changes 0.00205/a, 0.00008/a, −0.00028/a, respectively. (3) change played most dominant role influencing result relative contributions 59.68% (40.32% contributed by anthropogenic activities); (4) LULC dynamics were characterized an increase forest land large-scale ecological afforestation projects, coverage. Conversely, urbanization adversely affected variations. Understanding this study expected offer further scientific support practical implications for monitoring local status.
Язык: Английский
Процитировано
57
Environmental Science and Pollution Research, Год журнала: 2023, Номер 31(34), С. 46148 - 46162
Опубликована: Март 23, 2023
Язык: Английский
Процитировано
57
Sustainability, Год журнала: 2023, Номер 15(5), С. 3965 - 3965
Опубликована: Фев. 22, 2023
Considering the green development initiatives vigorously promoted by China, this paper constructs an evaluation index system that covers six areas, including resource utilization, pollution control, living environment, ecological protection, circular economy, and quality of economic growth. This also establishes improved comprehensive model using method Vertical Projection Distance-Set Pair Analysis in order to optimize traditional Technique for Order Preference Similarity Ideal Solution. Based on official data released quantitatively analyzes level 21 provinces eastern western China aforementioned areas from 2005 2020, makes a regional comparison between China. The results show is significantly higher than In when research period ends, values all provinces, except Hebei, are 4.0; meanwhile, no province region has value exceeding 4.0 there large gap such as growth control. On basis, puts forward relevant suggestions terms coordinated regions future.
Язык: Английский
Процитировано
46
Sustainability, Год журнала: 2023, Номер 15(3), С. 2690 - 2690
Опубликована: Фев. 2, 2023
This study primarily aimed to investigate the impact of green transformational leadership on employees’ environmental performance and work engagement in hotel business. In addition this, it sought empirically examine potential mediating effect association amid three- four-star hotels Egypt. For this purpose, a questionnaire was designed sent chosen workforce ascertain their thoughts study’s components (GTL, engagement, performance) using connections with HR managers staff at popular Egyptian tourist sites. The organized take account four main aspects: (1) demographic attributes investigated participants, (2) matters, (3) (4) matters. Structural equation modeling (SEM) employed bootstrapping technique hypotheses. findings revealed that has significant positive among employees. Furthermore, link between found be significantly positively partially affected by engagement.
Язык: Английский
Процитировано
45
Applied Energy, Год журнала: 2024, Номер 360, С. 122756 - 122756
Опубликована: Фев. 6, 2024
Digital transformation has been regarded as a primary styrategy to promote transitions in diverse fields, but industry pioneers believe that the existing barriers may hamper speed of digital transformation. Hence, this paper presents synthetical decision model integrating weighted Heronian mean aggregation (WHMA) operator, Level-Based Weight Assessment (LBWA) model, CRITIC (criteria importance through intercriteria correlation) method, and Ranking Alternatives Functional mapping criterion sub-intervals into Single Interval (RAFSI) with Fermatean cubic fuzzy sets evaluate implementation energy unknown weights experts criteria. In framework, an extended WHMA operator deviation-based method is established fuse experts' preference information. The LBWA FCF setting are combined derive barriers. Next, these methods incorporated RAFSI analyze A numerical example evaluating power sector displays application model-based method. result reveals a3 "Equipment manufacturer" (0.7063) highest barrier level, a4 "Consumers smart electronic" (0.4391) have lowest level. After that, sensitivity comparative explorations applied examine feasibility reliability model. results show proposed can provide more practical stable evaluation for supporting stakeholders associated ET.
Язык: Английский
Процитировано
25
International Journal of Hydrogen Energy, Год журнала: 2025, Номер 106, С. 1167 - 1183
Опубликована: Фев. 8, 2025
Язык: Английский
Процитировано
3
Technological Forecasting and Social Change, Год журнала: 2022, Номер 183, С. 121900 - 121900
Опубликована: Авг. 11, 2022
Язык: Английский
Процитировано
71
Frontiers in Environmental Science, Год журнала: 2022, Номер 10
Опубликована: Апрель 25, 2022
The Yangtze River Economic Belt (YREB) is an important growth pole of China’s economy, but it also one the most environmentally polluted basins in China. Maintaining vitality economic development while at same time realizing coordinated industry and ecosystems, issue that needs in-depth discussion research. This paper analyzes degree coordination regarding industrial-ecological economy YREB, identifies influencing factors, puts forward measures for improvement. First, evaluation model constructed. Second, a constructed measurement industrial ecology based on Lotka-Volterra Model. Third, relationship assessed with respect to competition versus cooperation. Finally, factors affecting are identified using Neural Network Four main conclusions can be drawn: 1) comprehensive 11 provinces cities YREB generally trending upward. 2) level midstream area high. Jiangsu, Jiangxi, Sichuan, Guizhou state. 3) has more balanced significant symbiosis between ecology. Provinces show symbiotic relationship; Shanghai City, Chongqing Anhui Province partially Zhejiang, Hubei, Hunan, Yunnan mutually inhibitory relationship. 4) ecosystem largest factor coordination, intensity R&D investment, regional GDP per capita, proportion tertiary-industry added-value have great impact. Based this analysis, proposes high-quality regard transformation upgrading surrounding environment, along integrated development.
Язык: Английский
Процитировано
62
Environmental Science and Pollution Research, Год журнала: 2022, Номер 29(32), С. 49385 - 49403
Опубликована: Фев. 26, 2022
Язык: Английский
Процитировано
57
Energy Reports, Год журнала: 2022, Номер 8, С. 13504 - 13513
Опубликована: Окт. 20, 2022
Renewable energy sources are seen as future sources. Ensuring Ghana's economic growth requires a balanced mix. The study evaluates five renewable (solar PV, solar thermal, hydro, wind and biomass) against thirteen criteria using muilticiteria multicriteria decision making (MCDM) techniques. Whilst six data were obtained from literature, seven experts' views. Each criterion's priority weight affects the total ranking of options. CRITIC weighting technique was used to determine each criterion. MOORA, TOPSIS COPRAS algorithm rank From our analysis, most promising RE for Ghana is Hydro. order prioritization hydro > biomass >solar PV Wind> Solar thermal. results techniques validated by Spearman's correlation co-efficient p-value ensure there positive significant between findings this will help in strategic implementation improved sustainability Ghana.
Язык: Английский
Процитировано
51