Showing 1,181 - 1,200 results of 8,172 for search '"climate"', query time: 0.09s Refine Results
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    An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China by Jianhua Xu, Yiwen Xu, Chunan Song

    Published 2013-01-01
    “…Taking the Yarkand River as an example, this paper conducted an integrative approach combining the Durbin-Watson statistic test (DWST), multiple linear regression (MLR), wavelet analysis (WA), coefficient of determination (CD), and Akaike information criterion (AIC) to analyze the climatic-hydrological process of inland river, Northwest China from a multitime scale perspective. …”
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  8. 1188

    Projected Impacts of Bioenergy-Demand-Induced Land Use and Cover Changes on Regional Climate in Central Europe by Fang Yin, Yihui Xiong, Li Jiang, Zhiguo Pang

    Published 2013-01-01
    “…Energy shortfalls are becoming more and more serious all over the world, and worldwide governments have tried to promote the development of biofuels in order to mitigate the climatic impacts of massive fossil fuel consumption. …”
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    Experimental Thermal Assessment of a Trombe Wall Under a Semi-Arid Mediterranean Climate of Mexico by Iván Hernández-Pérez, Álan Rodriguez-Ake, Daniel Sauceda-Carvajal, Irving Hernández-López, Balaji Kumar, Ivett Zavala-Guillén

    Published 2025-01-01
    “…The conventional Trombe wall (TW) with concrete construction has been shown to enhance the indoor environment of buildings in cold and Mediterranean climates. Thus, a TW is an option for reducing energy consumption related to thermal comfort for buildings in the northwestern region of Mexico, characterized by arid and semi-arid conditions with low winter temperatures. …”
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  12. 1192

    Land system changes of terrestrial tipping elements on Earth under global climate pledges: 2000–2100 by Jiaying Lv, Yifan Gao, Changqing Song, Li Chen, Sijing Ye, Peichao Gao

    Published 2025-01-01
    “…Abstract Tipping elements on Earth are components that undergo rapid and irreversible changes when climate change reaches a tipping point. They are highly sensitive to climate variations and serve as early warning signs of global change. …”
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    Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI by Jules R. Dim, Tamio Takamura, Akiko Higurashi, Pradeep Kathri, Nobuyuki Kikuchi, Takahashi Y. Nakajima

    Published 2013-01-01
    “…Potential improvements of aerosols algorithms for future climate-oriented satellites such as the coming Global Change Observation Mission Climate/Second generation Global Imager (GCOM-C/SGLI) are discussed based on a validation study of three years’ (2008–2010) daily aerosols properties, that is, the aerosol optical thickness (AOT) and the Ångström exponent (AE) retrieved from two MODIS algorithms. …”
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    Energy Efficiency Enhancement and Climate Change Mitigations of SMEs through Grid-Interactive Solar Photovoltaic System by G. N. Lalith Pankaj Raj, V. Kirubakaran

    Published 2021-01-01
    “…The postauditing design and installation of an intelligent controller by considering the intermittent/interlinked loads are carried out, and the effectiveness of the intelligent controller is ascertained with the energy conservation and the carbon emission reduction of SME. In addition, the climate change mitigation is ensured through the design and deployment of grid-interactive rooftop solar photovoltaic power plant using Solar Pro v4.5 (Photovoltaic System simulation software) with the power analysis, economic analysis and life cycle carbon emission of the proposed plant. …”
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    A Review of Climate Change and Mosquito Ecology in Constructed Wetlands: Implications for Urban Sustainability and Public Health by Bin Abd Rahim Muhamad Syafiq, Saad Noor Aida, Genasan Veera Singham A/L K., Weng Goh Hui, Kamal Nurul Hana Mokhtar, Shaharuddin Syafiq Bin

    Published 2024-01-01
    “…This study explores the ecology of mosquitoes within constructed wetlands, emphasizing the impact of climate change on their distribution and behaviour. …”
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