دورية أكاديمية
High-resolution urban air pollution mapping.
| العنوان: | High-resolution urban air pollution mapping. |
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| المؤلفون: | Apte JS; Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA 94720, USA.; School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA., Manchanda C; Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA 94720, USA. |
| المصدر: | Science (New York, N.Y.) [Science] 2024 Jul 26; Vol. 385 (6707), pp. 380-385. Date of Electronic Publication: 2024 Jul 25. |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Original Publication: New York, N.Y. : [s.n.] 1880- |
| مواضيع طبية MeSH: | Air Pollutants*/analysis , Air Pollution*/analysis , Cities* , Environmental Monitoring*/methods , City Planning*, Humans ; Particulate Matter/analysis |
| مستخلص: | Variation in urban air pollution arises because of complex spatial, temporal, and chemical processes, which profoundly affect population exposure, human health, and environmental justice. This Review highlights insights from two popular in situ measurement methods-mobile monitoring and dense sensor networks-that have distinct but complementary strengths in characterizing the dynamics and impacts of the multidimensional urban air quality system. Mobile monitoring can measure many pollutants at fine spatial scales, thereby informing about processes and control strategies. Sensor networks excel at providing temporal resolution at many locations. Increasingly sophisticated studies leveraging both methods can vividly identify spatial and temporal patterns that affect exposures and disparities and offer mechanistic insight toward effective interventions. This Review summarizes the strengths and limitations of these methods and discusses their implications for understanding fine-scale processes and impacts. |
| المشرفين على المادة: | 0 (Air Pollutants) 0 (Particulate Matter) |
| تواريخ الأحداث: | Date Created: 20240725 Date Completed: 20240725 Latest Revision: 20240730 |
| رمز التحديث: | 20240730 |
| DOI: | 10.1126/science.adq3678 |
| PMID: | 39052801 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1095-9203 |
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| DOI: | 10.1126/science.adq3678 |