Sökning: "inflow and infiltration"

Visar resultat 6 - 10 av 22 uppsatser innehållade orden inflow and infiltration.

  1. 6. THE USE OF ALTERNATIVE NORMALIZATION APPROACHES TO UNDERSTAND CHANGES IN SARS-CoV-2 CONCENTRATIONS IN WASTEWATER

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Författare :Frida Isaksson; [2022]
    Nyckelord :wastewater-based epidemiology; SARS-CoV-2; normalization; population estimates; pepper mild mottle virus; clinical cases; infiltration inflow;

    Sammanfattning : Following the detection of SARS-CoV-2 RNA fragments in wastewater in March 2020, the use of wastewater-based epidemiology is rapidly emerging as a non-invasive approach to assessing community wide COVID-19 prevalence. Wastewater-based epidemiology is promoted as a complement to clinical testing in terms of improving public health authorities’ preparedness and supporting them in taking required interventions to protect the public health. LÄS MER

  3. 7. How can Inflow & Infiltration be effectively and sustainably managed? : MCA as a tool for decision support in planning Inflow & Infiltration

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Erika Qvick; [2021]
    Nyckelord :Inflow and infiltration; stormwater; sewer system; sustainable urban water management; decision support; multicriteria analysis; Tillskottsvatten; dagvatten; avloppssystem; hållbar urban vattenhantering; beslutsstöd; multikriterieanalys;

    Sammanfattning : Inflow and infiltration (I/I) water in the sewer network originates from groundwater, precipitation, seawater as well as over-leakage from drinking water pipes. It is the proportion of water in the sewer system that is not wastewater and causes problems both at the treatment plant as well as in the sewer network. LÄS MER

  4. 8. Utläckage från vattennät – en betydande källa till tillskottsvatten i spillvattennät? : Linjär regressionsanalys av VA-data från svenska kommuner

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Anna Ringqvist; [2021]
    Nyckelord :I I water; infiltration; non-sewer water; water leakage; wastewater system; linear regression; statistics; data analysis; tillskottsvatten; dricksvattenläckage; utläckage; spillvattennät; dricksvattennät; ledningsnät; VA; avloppsvatten; VASS; linjär regression; statistik; dataanalys;

    Sammanfattning : Infiltration and inflow of non-sewer water to wastewater systems (I/I water) poses a significant problem to health, economy, and the environment by affecting the capacity of the wastewater system. To determine effective measures to reduce the amount of I/I water, it is essential to identify its most important sources. LÄS MER

  5. 9. Distributed Temperature Sensing för kontroll av inläckage i spillvattenledningar

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för geovetenskaper

    Författare :Sandberg Moa; [2021]
    Nyckelord :DTS; Distributed Temperature Sensing; Infiltration and Inflow; foul sewer; tillskottsvatten; spillvatten; spillvattenledningar; DTS; Distributed Temperature Sensing;

    Sammanfattning : Infiltration and inflow (I/I) are common problems in the foul sewer system. A method to detect I/I that is not commonly used in Sweden is DTS, Distributed Temperature Sensing. DTS is based on continuous measurements of temperature over a predetermined distance in the sewer system. LÄS MER

  7. 10. Effective machine learning techniques for detecting inflow and infiltration water in wastewater channels

    Kandidat-uppsats, Högskolan Kristianstad/Fakulteten för naturvetenskap

    Författare :Jonas Johansson; Viktor Westlund; [2021]
    Nyckelord :Inflow; infiltration; machine learning; sensor network; wastewater channels;

    Sammanfattning : In this degree thesis, the research team analyses different ways of monitoring water flow in wastewater channels finds an effective way of processing data using machine learning on collected data from a specific area and sets up a system for finding correlations between rain levels, water usages and wastewater flow to detect infiltrations and inflow water in wastewater channels. The study concludes that a sensor network is most suited for monitoring wastewater channels and that machine learning could be used to detect infiltration and inflow water using different types of data. LÄS MER