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Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective
The changing frequency of flooding in global watersheds, driven by various human and natural factors like land use/cover changes and global warming,...
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Multi-objective parameter optimization of CNC plane milling for sustainable manufacturing
Energy modeling and cutting parameter optimization of the machining process have been recognized as powerful and effective ways to save energy....
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A cooperative construction strategy for multi-parameter spatial variant random fields and its application in groundwater pollution risk assessment
The spatial variability of hydrogeological parameters is a significant source of uncertainty in groundwater numerical modeling and has a certain risk...
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Application of Three Parameter Muskingum Method on Karun River
An efficient modification of the Muskingum method of flood routing has been verified, which yields the coefficients of Muskingum flood routing...
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Anti-sine-cosine atom search optimization (ASCASO): a novel approach for parameter estimation of PV models
Nowadays, solar power generation has gradually become a part of electric energy sharing. How to effectively enhance the energy conversion efficiency...
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Parameter uncertainties in evaluating climate policies with dynamic integrated climate-economy model
Climate change is a complex issue with significant scientific and socio-economic uncertainties, making it difficult to assess the effectiveness of...
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Lake Toba stratification study with physical, chemical, and isotopic parameter approach
In general, lakes provide various ecosystem services that support biotic habitats and human life. Lake Toba, the largest caldera volcanic lake in the...
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Time-variations of the climate feedback parameter λ are associated with the Pacific Decadal Oscillation
Climate models suggest that the climate feedback parameter λ , which denotes the magnitude of the Earth radiative response to a change in global...
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Optimal layout design of groundwater pollution monitoring network using parameter iterative updating strategy-based ant colony optimization algorithm
The scientific layout design of the groundwater pollution monitoring network (GPMN) can provide high quality groundwater monitoring data, which is...
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Climate impact of bioenergy with or without carbon dioxide removal: influence of functional unit and parameter variability
PurposeBioenergy with carbon dioxide removal (CDR) is increasingly proposed as an efficient way to mitigate climate change. This study examined the...
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Derivation and application of a parameter for denitrification rates in the Taihu Lake model based on an isotope-labeled denitrification experiment
In recent years, the total nitrogen concentration in Taihu Lake has decreased significantly. Denitrification, as the main nitrogen removal process,...
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Generative machine learning-based multi-objective process parameter optimization towards energy and quality of injection molding
The high energy intensity and rigorous quality demand of injection molding have received significant interest under the background of the soaring...
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Same sensitivity with shorter exposure: behavior as an appropriate parameter to assess metal toxicity
The exposure of animals to toxicants may cause a depletion in the energy uptake, which compromises reproduction and growth. Although both parameters...
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Natural resource development, economic policy uncertainty and urban residents’ consumption in China: a nonlinear ARDL and time-varying parameter vector autoregressive with stochastic volatility approach
Increased risks of economic policy uncertainty and overexploitation of natural resources exist in China. At the same time, the growth rate of urban...
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Regionalization of Multiplicative Random Cascade Model Parameter for Awash River Basin, Ethiopia
Data on fine-resolution precipitation are necessary for the design of hydraulic structures, the estimation of rainfall erosivity, and the assessment...
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Multi-parameter Soil Property Prediction Incorporating Mid-infrared Spectroscopy and Dropout Sequential Artificial Neural Network
Given the facilitation of efficient soil data acquisition, light diffraction in both field and laboratory settings allows for applying infrared...
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Multi-parameter experiments and modeling for nitrate sorption to quaternary ammonium-functionalized poly(amidoamine) dendrimers in aqueous solutions
The aim of this study was to investigate nitrate sorption onto quaternary ammonium-functionalized poly(amidoamine) dendrimer generation 2.0...
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Improving of global solar radiation forecast by comparing other meteorological parameter models with sunshine duration models
The aim of this study is to compare sunshine duration-based models and the other meteorological parameter-based models and to develop new forecasting...
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Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM
The parameter setting of meta-heuristic algorithms is one of the most effective issues in the performance of meta-heuristic algorithms and is usually...
