001454030 000__ 03357cam\a22005537i\4500 001454030 001__ 1454030 001454030 003__ OCoLC 001454030 005__ 20230314003457.0 001454030 006__ m\\\\\o\\d\\\\\\\\ 001454030 007__ cr\cn\nnnunnun 001454030 008__ 230119s2023\\\\sz\a\\\\ob\\\\000\0\eng\d 001454030 019__ $$a1356793944$$a1356794175$$a1357016152 001454030 020__ $$a9783031084768$$qelectronic book 001454030 020__ $$a3031084764$$qelectronic book 001454030 020__ $$z3031084756 001454030 020__ $$z9783031084751 001454030 0247_ $$a10.1007/978-3-031-08476-8$$2doi 001454030 035__ $$aSP(OCoLC)1362526731 001454030 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dYDX$$dOCLCQ 001454030 049__ $$aISEA 001454030 050_4 $$aTD883.1$$b.A37 2023 001454030 08204 $$a363.739/2$$223/eng/20230119 001454030 24500 $$aAir quality networks :$$bdata analysis, calibration & data fusion /$$cSaverio De Vito, Kostas Karatzas, Alena Bartonova, Grazia Fattoruso, editors. 001454030 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2023] 001454030 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and colour) 001454030 336__ $$atext$$btxt$$2rdacontent 001454030 337__ $$acomputer$$bc$$2rdamedia 001454030 338__ $$aonline resource$$bcr$$2rdacarrier 001454030 4901_ $$aEnvironmental informatics and modeling 001454030 504__ $$aIncludes bibliographical references. 001454030 5050_ $$a1. Future air quality networks -- 2. General data processing techniques -- 3. Fields deployments performances -- 4. Special applications -- 5. Cooperative and regulatory efforts. 001454030 506__ $$aAccess limited to authorized users. 001454030 520__ $$aThis volume offers expert contributions proposing new and recently set scientific standards for smart air quality (AQ) networks data processing, along with results obtained during field deployments of pervasive and mobile systems. The book is divided into 5 main sections; 1) future air quality networks, 2) general data processing techniques, 3) field deployments performances, 4) special applications, and 5) cooperative and regulatory efforts. The authors offer different sources of data for the production of trustworthy insights, including spatio-temporal predictive AQ maps meant to boost citizen awareness, and informed participation in remediation and prevention policies. Readers will learn about the best and most up-to-date practices for measuring and assessing air quality, while also learning about current regulatory statuses regarding air quality technology design and implementation. The book will be of interest to air quality regulatory agencies, citizen science groups, city authorities, and researchers and students working with air quality sensors and geostatistics. 001454030 588__ $$aDescription based on print version record. 001454030 650_0 $$aAir quality$$xData processing. 001454030 650_0 $$aAir quality management. 001454030 655_0 $$aElectronic books. 001454030 7001_ $$aDe Vito, Saverio.$$eeditor. 001454030 7001_ $$aKaratzas, Kostas.$$eeditor. 001454030 7001_ $$aBartonova, Alena.$$eeditor. 001454030 7001_ $$aFattoruso, Grazia.$$eeditor. 001454030 77608 $$iPrint version:$$tAIR QUALITY NETWORKS.$$d[Place of publication not identified] : SPRINGER, 2022$$z3031084756$$w(OCoLC)1317836386 001454030 830_0 $$aEnvironmental informatics and modeling 001454030 852__ $$bebk 001454030 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-08476-8$$zOnline Access$$91397441.1 001454030 909CO $$ooai:library.usi.edu:1454030$$pGLOBAL_SET 001454030 980__ $$aBIB 001454030 980__ $$aEBOOK 001454030 982__ $$aEbook 001454030 983__ $$aOnline 001454030 994__ $$a92$$bISE