Synchronous LoRa mesh network to monitor processes in underground infrastructure

Collecting precise real-time information on urban drainage system performance is essential to identify, predict, and manage critical loading situations, such as urban flash floods and sewer overflows. Although emerging low-power wireless communication techniques allow efficient data transfers with great above-ground performance, for underground or indoor applications in a large coverage range are difficult to achieve due to physical and topological limitations, particularly in dense urban areas. In this paper, we first discuss the range limitations of the LoRaWAN standard based on a systematic evaluation of a long-term operation of a sensor network monitoring in-sewer process dynamics. Analyses reveal an-on average-five-fold higher data packet loss for sub-surface nodes, which steadily grows with increasing distance to the gateway. Second, we present a novel LPWAN concept based on the LoRa technology that enhances transmission reliability, efficiency, and flexibility in range-critical situations through meshed multi-hop routing and ensures a precise time-synchronization through optional GPS or DCF77 long-wave time signaling. Third, we illustrate the usefulness of the newly developed concept by evaluating the radio transmission performance for two independent full-scale field tests. Test results show that the synchronous LoRa mesh network approach clearly outperforms the standard LoRaWAN technique with regard to the reliability of packet delivery when transmitting from range-critical locations. Hence, the approach is expected to generally ease data collection from difficult-to-access locations such as underground areas

Energy self-sufficient systems for monitoring sewer networks

Underground infrastructure networks form the backbone of vital supply and disposal systems. However, they are under-monitored in comparison to their value. This is due, in large part, to the lack of energy supply for monitoring and data transmission. In this paper, we investigate a novel, energy harvesting system used to power underground sewer infrastructure monitoring networks. The system collects the required energy from ambient sources, such as temperature differences or residual light in sewer networks. A prototype was developed that could use either a thermoelectric generator (TEG) or a solar cell to capture the energy needed to acquire and transmit ultrasonic water level data via LoRaWAN. Real-world field trials were satisfactory and showed the potential power output, as well as, possibilities to improve the system. Using an extrapolation model, we proved that the developed solution could work reliably throughout the year.Comment: To be published in proceedings of the conference "21. ITG/GMA- Fachtagung Sensoren und Messsysteme 2022", 10.-11. Mai 2022, N\"urnberger CongressCenter, Nuremberg, Germany, or IEEE explor

Das Internet der Dinge im städtischen Abwassersystem : Potenziale der LoRa-Technologie für reichweitenkritische Anwendungen im Untergrund

Das Paper wurde im Download-Bereich der Konferenz "Internet of Things: vom Sensor bis zur Cloud" erstveröffentlicht: https://events.weka-fachmedien.de/internet-of-things.Hat Niedrigenergiefunk (LPWAN) das Potenzial die Prozessüberwachung in Infrastrukturen im Untergrund zu revolutionieren? Inwieweit eignen sich LPWANs, als neuartige Drahtlos-überragung des Internet-der-Dinge bekannte Technologie, für eine räumlich differenzierte und effiziente Langzeitüberwachung? Kann der etablierte LoRaWAN-Standard für reichwei-tenkritische Anwendungen angepasst werden? Grundlage für die Erörterung dieser Fragen sind einerseits unsere Erfahrungen seit Mai 2016 beim Aufbau und dem Betrieb eines Drahtlossensornetzwerks mit im Untergrund in-stallierten Sensoren in einer mittelgrossen Schweizer Gemeinde, und andererseits die dar-aus entstandene Neuentwicklung eines vermaschten LPWANs basierend auf der LoRa-Technologie. Im Einzelnen beleuchten wir i) die technischen Anforderungen an Sensorik und der Datenübertragungstechnologie für Anwendungen im Untergrund, ii) die Anwen-dungserfahrungen bezüglich Funkreichweite, Skalierbarkeit und Übertragungszuverlässig-keit, und iii) eine technologische Weiterentwicklung, welche die Reichweitenlimitierung ent-schärft und so eine effiziente Übertragung aus dem Untergrund ermöglicht. Unsere Untersuchungen unterstreichen die grundsätzliche Eignung des LoRa-WAN - Standards für eine Echtzeit-Über-wachung von Prozessabläufen im Unter-grund. Technologiespezifische Grenzen (Reichweite, Quality of Service) werden durch unsere Langzeitexperimente quan-titativ aufgezeigt. Die Neuentwicklung ei-nes vermaschten, LoRa-basierten Funks verbessert die Zuverlässigkeit der Über-tragung erheblich. Sinnvoll eingesetzt kann diese Neuerung einen wesentlichen Beitrag zur stabilen Prozessüberwachung von Infrastruktur im Untergrund leisten

Loss and damage and limits to adaptation: recent IPCC insights and implications for climate science and policy

Recent evidence shows that climate change is leading to irreversible and existential impacts on vulnerable communities and countries across the globe. Among other effects, this has given rise to public debate and engagement around notions of climate crisis and emergency. The Loss and Damage (L&D) policy debate has emphasized these aspects over the last three decades. Yet, despite institutionalization through an article on L&D by the United Nations Framework Convention on Climate Change (UNFCCC) in the Paris Agreement, the debate has remained vague, particularly with reference to its remit and relationship to adaptation policy and practice. Research has recently made important strides forward in terms of developing a science perspective on L&D. This article reviews insights derived from recent publications by the Intergovernmental Panel on Climate Change (IPCC) and others, and presents the implications for science and policy. Emerging evidence on hard and soft adaptation limits in certain systems, sectors and regions holds the potential to further build momentum for climate policy to live up to the Paris ambition of stringent emission reductions and to increase efforts to support the most vulnerable. L&D policy may want to consider actions to extend soft adaptation limits and spur transformational, that is, non-standard risk management and adaptation, so that limits are not breached. Financial, technical, and legal support would be appropriate for instances where hard limits are transgressed. Research is well positioned to further develop robust evidence on critical and relevant risks at scale in the most vulnerable countries and communities, as well as options to reduce barriers and limits to adaptation

Clinically Relevant Characterization of Lung Adenocarcinoma Subtypes Based on Cellular Pathways: An International Validation Study

Lung adenocarcinoma (AD) represents a predominant type of lung cancer demonstrating significant morphologic and molecular heterogeneity. We sought to understand this heterogeneity by utilizing gene expression analyses of 432 AD samples and examining associations between 27 known cancer-related pathways and the AD subtype, clinical characteristics and patient survival. Unsupervised clustering of AD and gene expression enrichment analysis reveals that cell proliferation is the most important pathway separating tumors into subgroups. Further, AD with increased cell proliferation demonstrate significantly poorer outcome and an increased solid AD subtype component. Additionally, we find that tumors with any solid component have decreased survival as compared to tumors without a solid component. These results lead to the potential to use a relatively simple pathological examination of a tumor in order to determine its aggressiveness and the patient's prognosis. Additional results suggest the ability to use a similar approach to determine a patient's sensitivity to targeted treatment. We then demonstrated the consistency of these findings using two independent AD cohorts from Asia (N = 87) and Europe (N = 89) using the identical analytic procedures

Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)

In Paris, France, December 2015, the Conference of the Parties (COP) to the United Nations Framework Convention on Climate Change (UNFCCC) invited the Intergovernmental Panel on Climate Change (IPCC) to provide a "special report in 2018 on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways". In Nairobi, Kenya, April 2016, the IPCC panel accepted the invitation. Here we describe the response devised within the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) to provide tailored, cross-sectorally consistent impact projections to broaden the scientific basis for the report. The simulation protocol is designed to allow for (1) separation of the impacts of historical warming starting from pre-industrial conditions from impacts of other drivers such as historical land-use changes (based on pre-industrial and historical impact model simulations); (2) quantification of the impacts of additional warming up to 1.5°C, including a potential overshoot and long-term impacts up to 2299, and comparison to higher levels of global mean temperature change (based on the low-emissions Representative Concentration Pathway RCP2.6 and a no-mitigation pathway RCP6.0) with socio-economic conditions fixed at 2005 levels; and (3) assessment of the climate effects based on the same climate scenarios while accounting for simultaneous changes in socio-economic conditions following the middle-of-the-road Shared Socioeconomic Pathway (SSP2, Fricko et al., 2016) and in particular differential bioenergy requirements associated with the transformation of the energy system to comply with RCP2.6 compared to RCP6.0. With the aim of providing the scientific basis for an aggregation of impacts across sectors and analysis of cross-sectoral interactions that may dampen or amplify sectoral impacts, the protocol is designed to facilitate consistent impact projections from a range of impact models across different sectors (global and regional hydrology, lakes, global crops, global vegetation, regional forests, global and regional marine ecosystems and fisheries, global and regional coastal infrastructure, energy supply and demand, temperature-related mortality, and global terrestrial biodiversity)