Zobrazeno 1 - 10
of 1 664
pro vyhledávání: '"Uncertainty assessment"'
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37065- (2024)
Maize (Zea mays) is an important staple crop for food security in Sub-Saharan Africa. However, there is need to increase production to feed a growing population. In Ghana, this is mainly done by increasing acreage with adverse environmental consequen
Externí odkaz:
https://doaj.org/article/7679f02104614693960b266977d355dd
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103960- (2024)
Mapping tree species diversity is essential for monitoring and managing forest ecosystems. Automating ecoforestry mapping using remote sensing images remains an important challenge due to the tremendous variability in forest covers and the conditions
Externí odkaz:
https://doaj.org/article/9f685b9d5cbb461cbaba489f3423ad8d
Publikováno v:
Energy Conversion and Management: X, Vol 22, Iss , Pp 100560- (2024)
Amidst the escalating electricity prices in Norway and Europe, a compelling need arises for alternative and sustainable energy solutions. This study introduces a novel techno-economic method to assess micro-combined heat and power (m-CHP) systems, sp
Externí odkaz:
https://doaj.org/article/c169f121c62c446cb08f60386e386f9f
Autor:
Yuanyi Liang, Xingjun Zhang, Lin Gan, Si Chen, Shandao Zhao, Jihui Ding, Wulue Kang, Han Yang
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27867- (2024)
Groundwater resources is not only important essential water resources but also imperative connectors within the intricate framework of the ecological environment. High nitrate concentrations in groundwater can exerting adverse impacts on human health
Externí odkaz:
https://doaj.org/article/81401c8d5e9f433096819bc863a1f23f
Publikováno v:
Water Science and Technology, Vol 88, Iss 6, Pp 1484-1494 (2023)
A wide diversity of regulatory practices for wastewater resource recovery plants exists throughout the world. This contribution aims to highlight the implications of choosing particular permitting structures and investigate the equivalence of effluen
Externí odkaz:
https://doaj.org/article/a02dce91c08c4f8680565f5a5786f083
Autor:
Jingyu Zeng, Tao Zhou, Yixin Xu, Qiaoyu Lin, E. Tan, Yajie Zhang, Xuemei Wu, Jingzhou Zhang, Xia Liu
Publikováno v:
Carbon Balance and Management, Vol 18, Iss 1, Pp 1-14 (2023)
Abstract Background The Qinghai-Tibet Plateau is the “sensitive area” of climate change, and also the “driver” and “amplifier” of global change. The response and feedback of its carbon dynamics to climate change will significantly affect
Externí odkaz:
https://doaj.org/article/2e35e467bc7045d1b2871494a11df441
Publikováno v:
Water Science and Engineering, Vol 16, Iss 3, Pp 226-233 (2023)
Estimating the design flood under nonstationary conditions is challenging. In this study, a sample reconstruction approach was developed to transform a nonstationary series into a stationary one in a future time window (FTW). In this approach, the fi
Externí odkaz:
https://doaj.org/article/c00f40f7bff34c5bb8511ef8674124d9
Publikováno v:
Sensors, Vol 24, Iss 15, p 4936 (2024)
The exploitation of insects as protein sources in the food industry has had a strong impact in recent decades for many reasons. The emphasis for this phenomenon has its primary basis on sustainability and also to the nutritional value provided. The g
Externí odkaz:
https://doaj.org/article/702458bb0f1c4df3bbe892ede469bd9a
Publikováno v:
Membranes, Vol 14, Iss 7, p 153 (2024)
Water contamination resulting from coal spills is one of the largest environmental problems affecting communities in the Appalachia Region of the United States. This coal slurry contains potentially toxic substances, such as hydrocarbons, heavy metal
Externí odkaz:
https://doaj.org/article/a39b07cff4c64c5993d653a86ae81c9a
Autor:
Erbet Almeida Costa, Carine de Menezes Rebello, Vinicius Viena Santana, Galdir Reges, Tiago de Oliveira Silva, Odilon Santana Luiz de Abreu, Marcos Pellegrini Ribeiro, Bernardo Pereira Foresti, Marcio Fontana, Idelfonso Bessa dos Reis Nogueira, Leizer Schnitman
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24047- (2024)
This work proposes a new methodology to identify and validate deep learning models for artificial oil lift systems that use submersible electric pumps. The proposed methodology allows for obtaining the models and evaluating the prediction's uncertain
Externí odkaz:
https://doaj.org/article/09f04835a6804cf0918d9f533cb0ce67