63 citations as recorded by crossref.

1. Greedy Algorithms for Sensor Location in Sewer Systems B. Banik et al. 10.3390/w9110856
2. Reconstructing a georeferenced inventory of flooding hazards in Raoping, Guangdong province, China, from 1492 to 1985 L. Zhao et al. 10.2166/wcc.2024.270
3. Optimization of rainfall networks using information entropy and temporal variability analysis W. Wang et al. 10.1016/j.jhydrol.2018.02.010
4. The use of maximum entropy to increase the informational content of hydrological networks by additional gauges S. Fischer et al. 10.1080/02626667.2020.1802028
5. Entropy based approach for precipitation monitoring network in Bihar, India A. Prajapati et al. 10.1016/j.ejrh.2023.101623
6. Optimal design of hydrometric station networks based on complex network analysis A. Agarwal et al. 10.5194/hess-24-2235-2020
7. A framework for merging precipitation retrievals and gauge-based observations based on a novel concept namely virtual gauges Y. Dou et al. 10.1016/j.jhydrol.2023.129506
8. Babbling brook to thunderous torrent: Using sound to monitor river stage W. Osborne et al. 10.1002/esp.5199
9. Developing a dual entropy-transinformation criterion for hydrometric network optimization based on information theory and copulas H. Li et al. 10.1016/j.envres.2019.108813
10. Monitoring and control of smart urban drainage systems using NB-IoT cellular sensor networks P. Roosipuu et al. 10.2166/wst.2023.222
11. Use of the entropy approach in water resource monitoring systems V. Bezsonnyi 10.26565/2410-7360-2023-58-23
12. Assessing Spatial Scale Effects on Hydrometric Network Design Using Entropy and Multi‐objective Methods C. Werstuck & P. Coulibaly 10.1111/1752-1688.12611
13. Rainfall Network Optimization Using Radar and Entropy H. Yeh et al. 10.3390/e19100553
14. Opportunities and challenges for precipitation forcing data in post‐wildfire hydrologic modeling applications T. Partridge et al. 10.1002/wat2.1728
15. Design of a Crisis Management System for Universities Based on Wireless Sensor Heterogeneous Scheduling and Machine Learning G. Chen & X. Wu 10.1007/s11036-024-02360-6
16. Integrating multi-criteria decision analysis (MCDA) with kriging and entropy methods for optimising streamflow measurement in a scantly monitored river basin G. Weldearegay et al. 10.1080/15715124.2023.2286893
17. Information‐Based Machine Learning for Tracer Signature Prediction in Karstic Environments B. Mewes et al. 10.1029/2018WR024558
18. A Proposal for Redesigning the Water Quality Network of the Tunjuelo River in Bogotá, Colombia through a Spatio-Temporal Analysis C. Peña-Guzmán et al. 10.3390/resources8020064
19. On the applicability of temporal stability analysis to raingauge network design R. Morbidelli et al. 10.1080/02626667.2019.1645959
20. Locating real-time water level sensors in coastal communities to assess flood risk by optimizing across multiple objectives I. Tien et al. 10.1038/s43247-023-00761-1
21. Use of proxy observations to evaluate the accuracy of precipitation spatial gridding R. McGrath & P. Nolan 10.1002/joc.8579
22. Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
23. A fuzzy entropy approach for design of hydrometric monitoring networks V. Sreeparvathy & V. Srinivas 10.1016/j.jhydrol.2020.124797
24. A comprehensive review on the design and optimization of surface water quality monitoring networks J. Jiang et al. 10.1016/j.envsoft.2020.104792
25. Precipitation Trends Analysis Using Gridded Dynamic Sampling Zones: Case Study Yangtze Delta Megalopolis X. Liu et al. 10.3389/feart.2022.917069
26. Citizens’ Campaigns for Environmental Water Monitoring: Lessons From Field Experiments T. Assumpcao et al. 10.1109/ACCESS.2019.2939471
27. Integration of hydrological models with entropy and multi-objective optimization based methods for designing specific needs streamflow monitoring networks J. Ursulak & P. Coulibaly 10.1016/j.jhydrol.2020.125876
28. Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations H. Joo et al. 10.3390/e21100991
29. Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al. 10.1061/(ASCE)HE.1943-5584.0001656
30. Evaluation of information transfer and data transfer models of rain-gauge network design based on information entropy W. Wang et al. 10.1016/j.envres.2019.108686
31. Benefits from high-density rain gauge observations for hydrological response analysis in a small alpine catchment A. Michelon et al. 10.5194/hess-25-2301-2021
32. Utilizing Entropy-Based Method for Rainfall Network Design in Huaihe River Basin, China J. Liu et al. 10.3390/w15173115
33. Multivariate interpolation and information entropy for optimizing raingauge network in the Mekong River Basin S. Li et al. 10.1080/02626667.2019.1646426
34. Data limitations in developing countries make river restoration planning challenging. Study case of the Cesar River, Colombia S. Vega et al. 10.1016/j.ecohyd.2024.01.012
35. Rainfall monitoring network design using conditioned Latin hypercube sampling and satellite precipitation estimates: An application in the ungauged Ecuadorian Amazon J. Contreras et al. 10.1002/joc.5946
36. pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms S. Rimer et al. 10.1016/j.envsoft.2023.105635
37. On the combined use of rain gauges and GPM IMERG satellite rainfall products for hydrological modelling: impact assessment of the cellular-automata-based methodology in the Tanaro River basin in Italy A. Lombardi et al. 10.5194/hess-28-3777-2024
38. Modeling an evaluation framework for adding IoT water-level sensors based on ANN-derived 2D inundation simulations S. Wu 10.2166/hydro.2024.097
39. What Do They Have in Common? Drivers of Streamflow Spatial Correlation and Prediction of Flow Regimes in Ungauged Locations A. Betterle et al. 10.1002/2017WR021144
40. Application of SNODAS and hydrologic models to enhance entropy-based snow monitoring network design J. Keum et al. 10.1016/j.jhydrol.2018.04.037
41. An entropy-based approach for the optimization of rain gauge network using satellite and ground-based data C. Bertini et al. 10.2166/nh.2021.113
42. Integration of Deep Learning and Information Theory for Designing Monitoring Networks in Heterogeneous Aquifer Systems J. Chen et al. 10.1029/2022WR032429
43. Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
44. Large-scale rain gauge network optimization using a kriging emulator R. Henriksen et al. 10.1016/j.jhydrol.2024.131360
45. Entropy Applications to Water Monitoring Network Design: A Review J. Keum et al. 10.3390/e19110613
46. Developing an entropy and copula-based approach for precipitation monitoring network expansion H. Li et al. 10.1016/j.jhydrol.2021.126366
47. Evolution of hydroinformatics at a state water management agency A. Shukla et al. 10.1080/02626667.2019.1661418
48. Copula-based bivariate drought severity and duration frequency analysis considering spatial–temporal variability in the Ceyhan Basin, Turkey M. Esit & M. Yuce 10.1007/s00704-022-04317-9
49. A Bayesian Fuzzy Clustering Approach for Design of Precipitation Gauge Network Using Merged Remote Sensing and Ground‐Based Precipitation Products V. Sreeparvathy & V. Srinivas 10.1029/2021WR030612
50. Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection V. Hossaki et al. 10.3390/geosciences13040111
51. Performance evaluation of CMORPH satellite precipitation product in the Zambezi Basin W. Gumindoga et al. 10.1080/01431161.2019.1602791
52. Point Versus Block Ordinary Kriging in Rain Gauge Network Design Using Artificial Bee Colony Optimization M. Attar et al. 10.1007/s40996-020-00484-9
53. Information theory-based multi-objective design of rainfall network for streamflow simulation W. Wang et al. 10.1016/j.advwatres.2019.103476
54. Conventional and sensor-based streamflow data acquisition system for sustainable water resources management and agricultural applications: an extensive review of literature A. Llaban & V. Ella 10.1088/1755-1315/1038/1/012040
55. Spatial correction of low‐cost sensors observations for fusion of air quality measurements M. Bobbia et al. 10.1002/asmb.2713
56. Flood Simulations Using a Sensor Network and Support Vector Machine Model J. Langhammer 10.3390/w15112004
57. Developing a high-resolution gridded rainfall product for Bangladesh during 1901–2018 A. Dewan et al. 10.1038/s41597-022-01568-z
58. Optimal Rain Gauge Network Design Aided by Multi-Source Satellite Precipitation Observation H. Wang et al. 10.3390/rs14236142
59. Strategic stream gauging network design for sustainable water management L. Andrews & T. Grantham 10.1038/s41893-024-01357-z
60. Multiobjective Optimization of Sensor Placement for Precipitation Station Monitoring Network Design K. Wang et al. 10.1061/(ASCE)HE.1943-5584.0001954
61. Discussion of “Multiobjective Optimization of Sensor Placement for Precipitation Station Monitoring Network Design” by Ke Wang, Jia Yang, Yuling Peng, Qianqian Wu, and Chuli Hu R. Singh 10.1061/(ASCE)HE.1943-5584.0002110
62. GaRiRO: Gradient and residual integrated rank ordering of stations in rainfall monitoring network M. Kumari & C. Singh 10.1007/s12145-018-0332-z
63. Information theory‐based decision support system for integrated design of multivariable hydrometric networks J. Keum & P. Coulibaly 10.1002/2016WR019981