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pro vyhledávání: '"Trinh Trong Nguyen"'
Autor:
Chinh Ta Huu, Tan Phan Van, Khiem Mai Van, Thang Vu Van, Lam Hoang Phuc, Worapong Lohpaisankrit, Quoc Bao Pham, Trinh Trong Nguyen, Phong Nguyen Thanh
Publikováno v:
Advances in Meteorology, Vol 2023 (2023)
The severe heatwaves and hot spells in Vietnam were observed more frequently in intensity and duration due to global warming and climate change impacts. The hot days and extreme summer events make the weather harsh and significantly affect human heal
Externí odkaz:
https://doaj.org/article/d02d4ef0ba274b77a5b19fcf0652b477
Publikováno v:
Chemical Engineering Transactions, Vol 78 (2020)
The treatment of oil spill using natural adsorbents is considered as an eco-friendly and cost-effective way. Agriculture waste is preferred as an oil cleanup technology due to its biodegradation and buoyancy. The goal of this study is to examine the
Externí odkaz:
https://doaj.org/article/7a44f18e99e148a5b4f76be57b972fc6
Akademický článek
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Estimation of agricultural burned affected area using NDVI and dNBR satellite-based empirical models
Autor:
Lal Mohammad, Jatisankar Bandyopadhyay, Rubel Sk, Ismail Mondal, Trinh Trong Nguyen, Giuseppe Francesco Cesare Lama, Duong Tran Anh
Publikováno v:
Journal of Environmental Management. 343:118226
Autor:
Hanh Minh Thai, Giang Nguyen Thuc Huong, Trinh Trong Nguyen, Hien Thu Pham, Huyen Thi Khanh Nguyen, Trang Huyen Vu
Publikováno v:
Journal of Agribusiness in Developing and Emerging Economies.
PurposeClimate change increases systematic risk for firms, especially those in the agricultural industry. Therefore, the need to examine the consequences of climate-related risks on agribusiness companies' financial performance across the globe and e
Autor:
Kourosh Ahmadi, Shirin Mahmoodi, Subodh Chandra Pal, Asish Saha, Indrajit Chowdhuri, Trinh Trong Nguyen, Scott Jarvie, Marta Szostak, Jaroslaw Socha, Van Nam Thai
Publikováno v:
Ahmadi, K, Mahmoodi, S, Pal, S C, Saha, A, Chowdhuri, I, Nguyen, T T, Jarvie, S, Szostak, M, Socha, J & Thai, V N 2023, ' Improving species distribution models for dominant trees in climate data-poor forests using high-resolution remote sensing ', Ecological Modelling, vol. 475, 110190 . https://doi.org/10.1016/j.ecolmodel.2022.110190
Species distribution models (SDMs) are useful for predictive and explanatory purposes, allowing biologists to identify how human and environmental factors influence distributions of plants and animals. Lack of high-resolution climatic variables is on
Publikováno v:
JOURNAL OF TECHNOLOGY & INNOVATION. 1:40-43
Using natural coagulants derived from available and popular plants ensures the quality of wastewater discharged, saving costs for businesses, environmentally friendly. SEM results show that surface of the material is rough with the multi-layered stru