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Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi
Models are a core element in performing local estimation of the climate change input. In this work, a novel approach to perform a fast downscaling of global temperature anomalies on a regional level is presented. The approach is based on a set of data-dr...
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Pablo O. Canziani, S. Gabriela Lakkis, Adrián E. Yuchechen and Oscar Bonfilli
A climate analysis of the monthly mean temperatures of Southern Patagonia during the late-XIXth and early-XXth centuries was carried out as part of the international data rescue Atmospheric Circulation Reconstructions over the Earth (ACRE) program partne...
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Anestis Kousis and Christos Tjortjis
In recent years, the emergence of the smart city concept has garnered attention as a promising innovation aimed at addressing the multifactorial challenges arising from the concurrent trends of urban population growth and the climate crisis. In this stud...
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Linda Petutschnig, Thomas Clemen, E. Sophia Klaußner, Ulfia Clemen and Stefan Lang
International policy and humanitarian guidance emphasize the need for precise, subnational malaria risk assessments with cross-regional comparability. Spatially explicit indicator-based assessments can support humanitarian aid organizations in identifyin...
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M. Ashrafuzzaman, Carla Gomes and João Guerra
This study focuses on investigating the impact of climate change on the availability of safe drinking water and human health in the Southwest Coastal Region of Bangladesh (SWCRB). Additionally, it explores local adaptation approaches aimed at addressing ...
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Yuanhang Wang, Zhiwen Jiang, Lingzhi Li, Yujun Qi, Jianwei Sun and Zhangzhang Jiang
To combat climate change and meet energy conservation and emission reduction goals, the building sector must adopt low-carbon technologies and low-carbon management methods. To systematically explore existing research areas and track future research tren...
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Van Quy Khuc and Duc Trung Tran
This paper introduces an advanced method that integrates contingent valuation and machine learning (CVML) to estimate residents? demand for reducing or mitigating environmental pollution and climate change. To be precise, CVML is an innovative hybrid mac...
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Jules Degila, Ida Sèmévo Tognisse, Anne-Carole Honfoga, Sèton Calmette Ariane Houetohossou, Fréjus Ariel Kpedetin Sodedji, Hospice Gérard Gracias Avakoudjo, Souand Peace Gloria Tahi and Achille Ephrem Assogbadjo
This study focuses on agriculture, which is the main source of economic growth in many West African countries. In recent years, conventional agriculture has undergone a remarkable evolution and digital technologies are widely used for different purposes....
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Martin Kuradusenge, Eric Hitimana, Damien Hanyurwimfura, Placide Rukundo, Kambombo Mtonga, Angelique Mukasine, Claudette Uwitonze, Jackson Ngabonziza and Angelique Uwamahoro
Although agriculture remains the dominant economic activity in many countries around the world, in recent years this sector has continued to be negatively impacted by climate change leading to food insecurities. This is so because extreme weather conditi...
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Shuai Yang, Jinmin Zhang, Lei Fu, Chunhua Chen, Zijing Liu and Wenlong Zhang
Due to the complex terrain and intense tectonic activity, and harsh climate in the Qinling-Daba Mountains, many landslides occur in the area. Most of these landslides are extremely active, posing a serious threat to the safety and property of local resid...
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