Searched for: author%3A%22Lin%2C+H.X.%22
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Verkaik, Jarno (author), Sutanudjaja, Edwin H. (author), Oude Essink, Gualbert H.P. (author), Lin, H.X. (author), Bierkens, Marc F.P. (author)
We discuss the various performance aspects of parallelizing our transient global-scale groundwater model at 30′′ resolution (30arcsec; °1/41km at the Equator) on large distributed memory parallel clusters. This model, referred to as GLOBGM, is the successor of our 5′ (5arcmin; °1/410km at the Equator) PCR-GLOBWB 2 (PCRaster Global Water...
journal article 2024
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Yuan, Zihao (author), Fu, Guangliang (author), van Diedenhoven, Bastiaan (author), Lin, H.X. (author), Erisman, Jan Willem (author), Hasekamp, Otto P. (author)
This paper describes a neural network cloud masking scheme from PARASOL (Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from a Lidar) multi-angle polarimetric measurements. The algorithm has been trained on synthetic measurements and has been applied to the processing of 1 year of PARASOL data....
journal article 2024
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Li, Kai (author), Ward, Hauke (author), Lin, H.X. (author), Tukker, Arnold (author)
The global trade of plastic waste has raised environmental concerns, especially regarding pollution in waste-importing countries. However, the overall environmental contribution remains unclear due to uncertain treatment shares between handling plastic waste abroad and domestically. Here, we conduct a life cycle assessment of global plastic...
journal article 2024
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Fang, Li (author), Jin, Jianbing (author), Segers, Arjo (author), Liao, Hong (author), Li, Ke (author), Xu, Bufan (author), Han, Wei (author), Pang, Mijie (author), Lin, H.X. (author)
Statistical methods, particularly machine learning models, have gained significant popularity in air quality predictions. These prediction models are commonly trained using the historical measurement datasets independently collected at the environmental monitoring stations and their operational forecasts in advance using inputs of the real-time...
journal article 2023
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Sturm, Patrick Obin (author), Manders, Astrid (author), Janssen, Ruud (author), Segers, Arjo (author), Wexler, Anthony S. (author), Lin, H.X. (author)
The chemical transport model LOTOS-EUROS uses a volatility basis set (VBS) approach to represent the formation of secondary organic aerosol (SOA) in the atmosphere. Inclusion of the VBS approximately doubles the dimensionality of LOTOS-EUROS and slows computation of the advection operator by a factor of two. This complexity limits SOA...
journal article 2023
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Wang, Zhen (author), Xi, Kaihua (author), Cheng, Aijie (author), Lin, H.X. (author), Ran, André C.M. (author), van Schuppen, J.H. (author), Zhang, Chenghui (author)
The synchronization of power generators is an important condition for the proper functioning of a power system, in which the fluctuations in frequency and the phase angle differences between the generators are sufficiently small when subjected to stochastic disturbances. Serious fluctuations can prompt desynchronization, which may lead to...
journal article 2023
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Qin, Xi (author), Zhong, Cheng (author), Lin, H.X. (author)
Influence maximization (IM) is a very important issue in social network diffusion analysis. The topology of real social network is large-scale, dynamic, and heterogeneous. The heterogeneity, and continuous expansion and evolution of social network pose a challenge to find influential users. Existing IM algorithms usually assume that social...
journal article 2023
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Xi, Kaihua (author), Wang, Zhen (author), Cheng, Aijie (author), Lin, H.X. (author), van Schuppen, J.H. (author), Zhang, Chenghui (author)
The synchronization stability of a complex network system of coupled phase oscillators is discussed. In case the network is affected by disturbances, a stochastic linearized system of the coupled phase oscillators may be used to determine the fluctuations of phase differences in the lines between the nodes and to identify the vulnerable lines...
journal article 2023
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Jin, J. (author), Fang, Li (author), Li, Baojie (author), Liao, Hong (author), Wang, Ye (author), Han, Wei (author), Li, Ke (author), Pang, Mijie (author), Wu, Xingyi (author), Lin, H.X. (author)
Atmospheric ammonia has been hazardous to the environment and human health for decades. Current inventories are usually constructed in a bottom-up manner and subject to uncertainties and incapable of reproducing the spatiotemporal characteristics of ammonia emission. Satellite measurements, for example, Infrared Atmospheric Sounder...
journal article 2023
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Wu, Xian (author), Xi, Kaihua (author), Cheng, Aijie (author), Lin, H.X. (author), van Schuppen, J.H. (author)
We aim to increase the ability of coupled phase oscillators to maintain synchronization when the system is affected by stochastic disturbances. We model the disturbances by Gaussian noise and use the mean first hitting time when the state hits the boundary of a secure domain, that is a subset of the basin of attraction, to measure...
journal article 2023
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Pang, Mijie (author), Jin, J. (author), Segers, Arjo (author), Jiang, Huiya (author), Fang, Li (author), Lin, H.X. (author), Liao, Hong (author)
Super dust storms re-occurred over East Asia in 2021 spring and casted great health damages and property losses. It is essential to achieve an accurate dust forecast to reduce the damage for early warning. The forecasting system fundamentally relies on a numerical model which can forecast the full evolution of dust storms. However, large...
journal article 2023
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Ma, Huidong (author), Zhong, Cheng (author), Sun, Hui (author), Chen, Danyang (author), Lin, H.X. (author)
The mobile element variant is a very important structural variant, accounting for a quarter of structural variants, and it is closely related to many issues such as genetic diseases and species diversity. However, few detection algorithms of mobile element variants have been developed on third-generation sequencing data. We propose an...
conference paper 2023
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Wang, X. (author), Verlaan, M. (author), Veenstra, Jelmer (author), Lin, H.X. (author)
Global tide and surge models play a major role in forecasting coastal flooding due to extreme events or climate change. The model performance is strongly affected by parameters such as bathymetry and bottom friction. In this study, we propose a method that estimates bathymetry globally and the bottom friction coefficient in shallow waters for a...
journal article 2022
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Wang, S. (author), Correia, Gonçalo (author), Lin, H.X. (author)
This paper addresses the problem of studying the impacts of the strategic formation of platoons in automated mobility-on-demand (AMoD) systems in future cities. Forming platoons has the potential to improve traffic efficiency, resulting in reduced travel times and energy consumption. However, in the platoon formation phase, coordinating the...
journal article 2022
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Wang, X. (author), Verlaan, M. (author), Apecechea, Maialen Irazoqui (author), Lin, H.X. (author)
Accurate parameter estimation for the Global Tide and Surge Model (GTSM) benefits from observations with long time-series. However, increasing the number of measurements leads to a large computation demand and increased memory requirements, especially for the ensemble-based methods that assimilate the measurements at one batch. In this study,...
journal article 2022
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Chen, Zhenyang (author), Kleijn, E.G.M. (author), Lin, H.X. (author)
Wind and solar photovoltaic (PV) power form vital parts of the energy transition toward renewable energy systems. The rapid development of these two renewables represents an enormous infrastructure construction task including both power generation and its associated electrical grid systems, which will generate demand for metal resources....
journal article 2022
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Fang, Li (author), Jin, Jianbing (author), Segers, Arjo (author), Lin, H.X. (author), Pang, Mijie (author), Xiao, Cong (author), Deng, T. (author), Liao, Hong (author)
With the explosive growth of atmospheric data, machine learning models have achieved great success in air pollution forecasting because of their higher computational efficiency than the traditional chemical transport models. However, in previous studies, new prediction algorithms have only been tested at stations or in a small region; a large...
journal article 2022
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Xiao, C. (author), Lin, H.X. (author), Leeuwenburgh, O. (author), Heemink, A.W. (author)
History matching can play a key role in improving geological characterization and reducing the uncertainty of reservoir model predictions. Application of reservoir history matching is restricted by the huge computational cost by amongst others the many runs of the full model. Surrogate models with a reduced complexity are therefore used to...
journal article 2022
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Jin, J. (author), Pang, Mijie (author), Segers, Arjo (author), Han, Wei (author), Fang, Li (author), Li, Baojie (author), Feng, H. (author), Lin, H.X. (author), Liao, Hong (author)
Last spring, super dust storms reappeared in East Asia after being absent for one and a half decades. The event caused enormous losses in both Mongolia and China. Accurate simulation of such super sandstorms is valuable for the quantification of health damage, aviation risks, and profound impacts on the Earth system, but also to reveal the...
journal article 2022
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Wang, S. (author), Correia, Gonçalo (author), Lin, H.X. (author)
Automated Mobility-on-Demand (AMoD) systems, in which fleets of automated vehicles provide on-demand services, are expected to transform urban mobility systems. Motivated by the rapid development of AMoD services delivered by self-driving car companies, an agent-based model (ABM) has been developed to study the coexistence phenomena of...
journal article 2022
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