A LoRaWAN-based environmental sensing network for urban green space monitoring with demonstrated application for stormwater management
Bibliographic Data
| ID | 21230368 |
|---|---|
| Authors | Haokai Zhao (0000-0002-6868-4379, Massachusetts Institute of Technology, corresponding author), Kevin A Kam (0000-0001-8634-8996, Columbia University), Ioannis Kymissis (0000-0001-7417-1759, Columbia University), Brian J Mailloux (0000-0001-6646-3428, Barnard College), Patricia J Culligan (0000-0002-3647-0640) |
| Year | 2024 |
| Volume | 115 |
| Pages | 105852 |
| Publication date | 2024-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2024.105852 |
| OpenAlex | W4402878803 |
| Language | EN |
| References cited | 41 |
LoRaWAN Urban Green Space (UGS) sensing for stormwater management was demonstrated. • Soil moisture variations in UGSs and their contributing factors were investigated. • Rain amount and initial soil moisture dominate soil moisture response to rain. • UGS runoff coefficients were more dynamic than government guideline values. • Proactive drainage systems are needed for UGSs to handle extreme storm events. Monitoring urban green spaces (UGSs) is crucial for achieving sustainable urban development and ecological resilience. Leveraging LoRaWAN technology, a wireless environmental sensing system was developed and implemented to monitor soil moisture dynamics across seven diverse UGSs over a year. Analyses revealed notable variations in soil moisture influenced by vegetation types, soil conditions and physical settings. Seasonal trends indicated lower summer soil moisture in some UGSs resulting from increased evapotranspiration, while others maintained higher soil moisture due to more frequent irrigation. The soil moisture response to rainfall was quantitatively modeled, demonstrating the increase in soil moisture is highly positively dependent on rainfall amount and negatively dependent on initial moisture level. Both factors were significant ( p <0.001) in most cases, and the models’ adjusted R 2 values were all above 0.65 except for one node. The findings also unveiled more dynamic ranges of UGS runoff coefficients than government guideline values, especially high runoff coefficients (0.4 to 1.0) for rainfall events above 50 mm. Therefore, although existing UGSs can help absorb smaller storms, proactive drainage systems are needed for UGSs to handle extreme events. The study highlights LoRaWAN's efficacy in urban environmental monitoring and provides valuable insights for managing and optimizing UGSs, especially in stormwater management
Architectural engineering · Civil engineering · Computer network · Environmental Monitoring · Environmental planning · Environmental resource management · Geography · Green infrastructure · Remote sensing · Stormwater · Stormwater management · Surface runoff · Wireless sensor network · Computer Science · Engineering · Environmental Science · Indoor and Outdoor Localization Technologies · IoT Networks and Protocols · Water Quality Monitoring Technologies · Ecology · Environmental Engineering
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| Highly cited | No |
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