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Previsione del rischio respiratorio utilizzando l’inquinamento atmosferico attraverso il Deep Learning

Previsione del rischio respiratorio utilizzando l’inquinamento atmosferico attraverso il Deep Learning

Dr.Usharani Bhimavarapu

76,86 €
IVA incluido
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Empresa y gestión
ISBN:
9786208051822
76,86 €
IVA incluido
Disponible

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Le emissioni inquinanti derivanti da disastri naturali come incendi boschivi ed eruzioni vulcaniche comprendono emissioni di anidride solforosa (SO 2 ), monossido di carbonio (CO), biossido di azoto (NO 2 ) e particolato (PM). Gli inquinanti atmosferici peggiorano l’ambiente, riducono l’ozono e producono l’effetto serra, oltre a disastri ambientali che provocano malattie croniche potenzialmente letali. Le persone esposte all’inquinamento atmosferico per un periodo prolungato sono suscettibili di cancro ai polmoni, asma o malattia polmonare cronico-ostruttiva, oltre ad altri problemi di salute respiratoria. La previsione, il monitoraggio, l’allerta precoce per la qualità dell’aria pericolosa e le misure preventive aiutano a gestire l’inquinamento e a migliorare la qualità dell’aria attraverso le normative ambientali e le tecniche di controllo dell’inquinamento, contribuendo anche alla sostenibilità ambientale. Il cancro ai polmoni, la polmonite, l’asma e altre patologie respiratorie sono tutte influenzate dall’inquinamento atmosferico. La bassa concentrazione di inquinanti atmosferici ha un effetto trascurabile sulla salute pubblica, a seconda del danno causato dagli inquinanti in base alle concentrazioni degli inquinanti atmosferici inalati.

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