Optimizing the configuration of precipitation stations in a space-ground integrated sensor network based on spatial-temporal coverage maximization

Wang, Ke; Guan, Qingfeng; Chen, Nengcheng; Tong, Daoqin; Hu, Chuli; Peng, Yuling; Dong, Xianyong; Yang, Chao

doi:10.1016/j.jhydrol.2017.03.033

Cited by 21 publications

(14 citation statements)

References 57 publications

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“…In their case geographical sensor selection is based on proximity and they do not provide a method for interpolating between sensor positions, which is the focus of this work. Wang et al [ 21 ] have described a wide area technique for selecting the site of ground precipitation sensors to complement satellite observations. Their work is based on maximizing the geographical coverage of sensors, sensitive to local terrain conditions.…”

Section: Previous Workmentioning

confidence: 99%

Time Series Analysis for Spatial Node Selection in Environment Monitoring Sensor Networks

Bhandari

Bergmann

Jurdak

et al. 2017

Sensors

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Wireless sensor networks are widely used in environmental monitoring. The number of sensor nodes to be deployed will vary depending on the desired spatio-temporal resolution. Selecting an optimal number, position and sampling rate for an array of sensor nodes in environmental monitoring is a challenging question. Most of the current solutions are either theoretical or simulation-based where the problems are tackled using random field theory, computational geometry or computer simulations, limiting their specificity to a given sensor deployment. Using an empirical dataset from a mine rehabilitation monitoring sensor network, this work proposes a data-driven approach where co-integrated time series analysis is used to select the number of sensors from a short-term deployment of a larger set of potential node positions. Analyses conducted on temperature time series show 75% of sensors are co-integrated. Using only 25% of the original nodes can generate a complete dataset within a 0.5 °C average error bound. Our data-driven approach to sensor position selection is applicable for spatiotemporal monitoring of spatially correlated environmental parameters to minimize deployment cost without compromising data resolution.

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Section: Previous Workmentioning

confidence: 99%

Time Series Analysis for Spatial Node Selection in Environment Monitoring Sensor Networks

Bhandari

Bergmann

Jurdak

et al. 2017

Sensors

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“…Indeed, a single molecular structure may give rise to various superstructures . Several approaches have been introduced that enable control of assembly pathways, including the temporary exposure to different solvent compositions, varying catalyst concentrations in (bio‐)catalytic self‐assembly– and varying routes to adjusting pH, ionic strength, by using mechanical agitation/sonication– or temperature –…”

Section: Introductionmentioning

confidence: 99%

Tunable Supramolecular Gel Properties by Varying Thermal History

Debnath

Roy

Abul‐Haija

et al. 2019

Chemistry A European J

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The possibility of using differential pre-heating prior to supramolecularg elation to control the balance between hydrogen-bonding and aromatic stacking interactions in supramolecular gels and obtain consequents ystematic regulation of structure and properties is demonstrated. Using am odel aromatic peptide amphiphile, Fmoc-tyrosylleucine (Fmoc-YL) and ac ombination of fluorescence, infrared, circular dichroism and NMR spectroscopy,i ti ss hown that the balance of these interactions can be adjusted by temporary exposure to elevated temperatures in the range 313-365 K, followed by supramolecular locking in the gel state by cooling to room temperature. Distinct regimes can be identified regarding the balance between H-bonding and aromatic stacking interactions, with at ransition point at 333 K. Consequently,g els can be obtained with customizable properties,i ncluding supramolecular chirality and gel stiffness. The differential supramolecular structures also result in changes in proteolytic stability, highlighting the possibility of obtaining ar ange of supramoleculara rchitectures from as ingle molecular structure by simply controlling the pre-assemblyt emperature.[a] Dr.

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“…The task of the MCLP is to locate a fixed number of facilities to provide as many services as possible within a pre-specified distance/time [38]. The MCLP has been widely used in many applications [39], including emergency facility siting [40,41], ground-based precipitation station siting [42], transportation infrastructure siting [43], etc.…”

Section: Selection Of the Optimal Locationmentioning

confidence: 99%

Integrating Island Spatial Information and Integer Optimization for Locating Maritime Search and Rescue Bases: A Case Study in the South China Sea

Zhou

Cheng

Zhang

et al. 2019

IJGI

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Maritime search and rescue (SAR) operations are critical for ensuring safety at sea. Islands have been considered as feasible solutions for the construction of new maritime SAR bases to improve the capacity of SAR operations in remote sea areas. This paper proposes a new framework, based on island spatial information, for determining the optimal locations for maritime SAR bases. The framework comprises four steps. First, candidate islands for the construction of maritime SAR bases are selected. Second, the potential rescue demand is estimated by employing ship location data and marine incident data. In the third step, the response time from candidate islands to any site at sea is calculated, with explicit consideration of the impact of sea conditions on the ship’s speed. Fourth, the final island locations are proposed by solving the maximal covering location problem (MCLP). The proposed framework was applied to the South China Sea. The results showed that there would be a decrease of 1.09 h in terms of the mean access time for the South China Sea if the six selected island bases were constructed, whilst the primary coverage increased from 62.63% to 80.02% when using a 6-hour threshold. This new framework is expected to contribute to improvements in safety at sea and should be applicable to any sea area where the construction of island rescue bases is being considered.

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Optimizing the configuration of precipitation stations in a space-ground integrated sensor network based on spatial-temporal coverage maximization

Cited by 21 publications

References 57 publications

Time Series Analysis for Spatial Node Selection in Environment Monitoring Sensor Networks

Time Series Analysis for Spatial Node Selection in Environment Monitoring Sensor Networks

Tunable Supramolecular Gel Properties by Varying Thermal History

Integrating Island Spatial Information and Integer Optimization for Locating Maritime Search and Rescue Bases: A Case Study in the South China Sea

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