並列タイトル等開発途上国の都市河川流域における環境管理のための重金属輸送と汚染の評価方法論
一般注記In recent several decades, using of numerical computational models is getting more popular by planners, managers, engineers and scientists in different fields. Therefore, the assessment based on numerical computational models in water quality management seems promising.The industrial activities have been caused severe damage to water ecosystems over time. The intensive industrial activities in urban area caused a significant increase in the quantities of hazardous materials, being released into rivers during wastewater disposal. The heavy metals are among the most prominent and danger pollutants resulting by the industrial activities. The monitoring of these pollutants in riverine systems is one of the most important water management challenges, because of their toxicity and their potential to accumulate and persist in the environment. Several studies related to the water quality modeling have been demonstrated the effectiveness of the hydrological models as powerful tools in prediction of heavy metal fate and transport in riverine systems.The main objective of this thesis is evaluation methodology on heavy metals transport and pollution with the help of a distributed hydrological model (DHM), for environment management in urban river basins in developing countries.The thesis addresses the evaluation of the effectiveness of Geophysical Flow Circulation (Geo-CIRC) model based on Object Oriented Design (OOD) in modeling of multiple heavy metals transport in Harrach River in Algeria which is severely polluted with various heavy metals originating from industrial activities, in order to use as a helpful monitoring tool in water quality management of rivers. As well, a simple approach for varied partition coefficient (Kd) modeling was proposed in order to enhance and increase the model accuracy for simulation of heavy metals concentrations in river sediments.The results showed that the Geo-CIRC model was able to simulate simultaneously the transport of multiple heavy metals in a river and present a comprehensive description of river contamination with only a minimal amount of observational data, where the application of OOD increased the model's effectiveness, by improving the model’s flexibility even many unknown point sources exist, and supported the inclusion of multiple heavy metals in the simulation with reasonable accuracy. Likewise, the proposed empirical multivariate regression model was useful in estimation of the potential variables of the partition coefficient with physicochemical properties changes, as well introducing these changes in simulation increased the result accuracy of the model.Including of Geo-CIRC model in monitoring strategy can provide comprehensive assessment of the environmental state in the river systems with less cost in short time by using less effort because of the OOD’s advantage. Likewise, the model feature allows us to be able to simultaneously utilize much information which could be taken from limited monitoring data. As well, the proposed partition coefficient model can enforce the availability of sediment data.
コレクション（個別）国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
受理日（W3CDTF）2020-11-10T19:58:22+09:00
連携機関・データベース国立国会図書館 : 国立国会図書館デジタルコレクション