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Francisco Andree Ramírez Casas, Laxmi Sushama and Bernardo Teufel
The development of a computationally efficient machine learning-based framework to understand the underlying causes for biases in climate model simulated fields is presented in this study. The framework consists of a two-step approach, with the first ste...
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Eugene Moore, James Ward and Wilson Lennard
To assist waste management decision-making, there is a need to assess the economics of commercial-scale reuse of recirculating aquaculture system (RAS) effluent in horticulture. This study compared the feasibility/viability of using two representative ho...
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Pasquale Contestabile, Fabio Conversano, Luca Centurioni, Umberto Mario Golia, Luigi Musco, Roberto Danovaro and Diego Vicinanza
In this paper, the advantages of shaping a non-conventional triple collocation-based calibration of a wave propagation model is pointed out. Illustrated through a case study in the Bagnoli-Coroglio Bay (central Tyrrhenian Sea, Italy), a multi-comparison ...
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Lin Chen, Chunying Ren, Lin Li, Yeqiao Wang, Bai Zhang, Zongming Wang and Linfeng Li
Accurate digital soil mapping (DSM) of soil organic carbon (SOC) is still a challenging subject because of its spatial variability and dependency. This study is aimed at comparing six typical methods in three types of DSM techniques for SOC mapping in an...
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Jianhua Ni, Ming Liang, Yan Lin, Yanlan Wu and Chen Wang
While great progress in the development of a methodological approach to measure the accessibility of healthcare services has been made, the exclusion of the complex multi-mode travel behavior of urban residents and a rough calculation of travel costs fro...
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