دورية أكاديمية
Stochastic Determination of Combined Sewer Overflow Loads for Decision-Making Purposes and Operational Follow-Up
| العنوان: | Stochastic Determination of Combined Sewer Overflow Loads for Decision-Making Purposes and Operational Follow-Up |
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| المؤلفون: | Geert Dirckx, Evi Vinck, Stefan Kroll |
| المصدر: | Water, Vol 14, Iss 10, p 1635 (2022) |
| بيانات النشر: | MDPI AG, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Hydraulic engineering LCC:Water supply for domestic and industrial purposes |
| مصطلحات موضوعية: | combined sewer overflow, cockle software, load emission, first flush, first flush factor, stochastic database of CSO concentrations, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500 |
| الوصف: | Characterizing the emissions and impact of combined sewer overflows (CSOs) remains one of the key challenges in the field of urban wastewater. Considering the large number of existing CSOs, decision-makers need a pragmatic approach that allows fairly easy, hands-on determination of emissions (particularly loads) without compromising accuracy. This philosophy is incorporated in the Cockle tool presented here, which uses stochastically processed input from a vast amount of pre-registered water quality data (pollutant concentrations) in combination with spill flow time series either generated from hydrodynamic models or converted from monitored overflow water levels. Uncertainty is intrinsically covered by the statistical output range of the reported results. As a fully automated tool, Cockle allows to readily assess emissions within a chosen time frame, facilitating more accurate guidance for further remediation actions and/or mapping of the current state for operational follow-up. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2073-4441 |
| Relation: | https://www.mdpi.com/2073-4441/14/10/1635; https://doaj.org/toc/2073-4441 |
| DOI: | 10.3390/w14101635 |
| URL الوصول: | https://doaj.org/article/751caa7a1ed4479d815d04215852812e |
| رقم الأكسشن: | edsdoj.751caa7a1ed4479d815d04215852812e |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20734441 |
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| DOI: | 10.3390/w14101635 |