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A. W. Satria, H. Wijayanti, W. Febrianti, M. H. A. Nur, A. Prasetya
Pág. 84 - 89
This stuy aims to determine the operational parameters of submerged biofilter and to develop a model that can be used to estimate the elimination rate of pollutant using aerob and anaerob reactors. The experiment was conducted with draining the wastewate...
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Anthony A. Amori, Olufemi P. Abimbola, Trenton E. Franz, Daran Rudnick, Javed Iqbal and Haishun Yang
Model calibration is essential for acceptable model performance and applications. The Hybrid-Maize model, developed at the University of Nebraska-Lincoln, is a process-based crop simulation model that simulates maize growth as a function of crop and fiel...
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Yunzhou Chen, Shumin Wang, Ziying Gu and Fan Yang
Spatial population distribution data is the discretization of demographic data into spatial grids, which has vital reference significance for disaster emergency response, disaster assessment, emergency rescue resource allocation, and post-disaster recons...
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Rui Zhou and Xianghong Xu
The significant increase in the speed of high-speed trains has made the optimization of pantograph?catenary parameters aimed at improving current collection quality become one of the key issues that urgently need to be addressed. In this paper, a method ...
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Zhifu Lin, Dasheng Xiao and Hong Xiao
Flow through complex thermodynamic machinery is intricate, incorporating turbulence, compressibility effects, combustion, and solid?fluid interactions, posing a challenge to classical physics. For example, it is not currently possible to simulate a three...
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Xie Lian, Xiaolong Hu, Liangsheng Shi, Jinhua Shao, Jiang Bian and Yuanlai Cui
The parameters of the GR4J-CemaNeige coupling model (GR4neige) are typically treated as constants. However, the maximum capacity of the production store (parX1) exhibits time-varying characteristics due to climate variability and vegetation coverage chan...
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Min Li, Zhirui Cui and Tianyu Fan
In order to further improve the accuracy of flood routing, this article uses the Variable Exponential Nonlinear Muskingum Model (VEP-NMM), combined with the Artificial Rabbit Optimization (ARO) algorithm for parameter calibration, to construct the ARO-VE...
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Lin Ma, Fuheng Ma, Wenhan Cao, Benxing Lou, Xiang Luo, Qiang Li and Xiaoniao Hao
A original strategy for optimizing the inversion of concrete dam parameters based on the multi-strategy improved Sooty Tern Optimization algorithm (MSSTOA) is proposed to address the issues of low efficiency, low accuracy, and poor optimizing performance...
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Xuejun Zhang, Lei Guo, Jinshan Yan, Zenglu Shi, Mengchen Kang and Jieting Yao
The extended duration of mulching in Xinjiang cotton fields leads to a significant decline in the tensile strength of plastic film. When recycling is in operation, the soil and the spring teeth of the machinery used can easily cause secondary damage and ...
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Adam Szabo, Daniel Karoly Doba, Szilard Aradi and Peter Kiss
The number of highly automated machines in the agricultural sector has increased rapidly in recent years. To reduce their fuel consumption, and thus their emission and operational cost, the performance of such machines must be optimized. The running gear...
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