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DOI | 10.1016/j.gsd.2021.100707 |
The implementation of genetic algorithm for the identification of DNAPL sources | |
Habiyakare, Telesphore; Zhang, Na; Feng, Chu-Han; Ndayisenga, Fabrice; Kayiranga, Alphonse; Sindikubwabo, Celestin; Muhirwa, Fabien; Shah, Suraj | |
通讯作者 | Habiyakare, T (通讯作者),Univ Chinese Acad Sci, Coll Resources & Environm, 19 A Yuquan Rd, Beijing 100049, Peoples R China. |
发表日期 | 2022 |
ISSN | 2352-801X |
卷号 | 16 |
英文摘要 | Contamination caused by dense non-aqueous phase liquids (DNAPLs) is a serious peril to the groundwater supply quality. The DNAPLs are largely undetected and yet are likely to be a significant factor limiting site remediation. It is necessary to identify the sources of pollution and control pollution in the early stage. The primary objective of this research was to investigate the pollution source and intensity of migrating DNAPLs. This objective was accomplished through the combination of genetic algorithm (GA) and T2VOC numerical experimental simulation. This study considers two synthetic cases of numerical modeling based on the T2VOC from the TOUGH2 code family to assess and evaluate the efficacity of the algorithm. The first case identified concurrently the intensity as well as the location of the one unknown contaminated water source. The second case distinguished various contaminated water sources. For the single source pollution identification, the estimation of intensity error was 0.08%, and the error of GA at second and third true value calculation was 0.05% and 0.03%, respectively, achieving the goal of pollution identification accurately. While for the multiple sources, the deviation of intensity was ranging between 1.02 and 5.65%, the results suggested that source No.2 was mainly responsible for the leakage, and source No.3 adopted the secondary responsibility among others. These two cases suggested that GA established by optimal search strategy could be adopted for effective identification of DNAPL pollution sources. This study provides information that could facilitate the development and implementation of innovative remediation strategies. |
关键词 | GROUNDWATER POLLUTIONMULTIPHASE FLOWNEURAL-NETWORKOPTIMIZATIONSIMULATIONTRANSPORTDISTRIBUTIONSREMEDIATIONMIGRATIONAQUIFERS |
英文关键词 | Dense non-aqueous liquids; TOUGH2; Pollution source; Genetic algorithm; Groundwater remediation |
语种 | 英语 |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
WOS类目 | Engineering, Environmental ; Environmental Sciences ; Water Resources |
WOS记录号 | WOS:000748657300017 |
来源期刊 | GROUNDWATER FOR SUSTAINABLE DEVELOPMENT |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254943 |
作者单位 | [Habiyakare, Telesphore; Zhang, Na; Feng, Chu-Han; Ndayisenga, Fabrice; Shah, Suraj] Univ Chinese Acad Sci, Coll Resources & Environm, 19 A Yuquan Rd, Beijing 100049, Peoples R China; [Kayiranga, Alphonse; Sindikubwabo, Celestin; Muhirwa, Fabien] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Habiyakare, Telesphore] Univ Rwanda, Coll Sci & Technol, Kigali 1514, Rwanda; [Sindikubwabo, Celestin] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Kayiranga, Alphonse] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing, Peoples R China; [Muhirwa, Fabien] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources Use & Environm Remediat, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Habiyakare, Telesphore,Zhang, Na,Feng, Chu-Han,et al. The implementation of genetic algorithm for the identification of DNAPL sources[J]. 中国科学院西北生态环境资源研究院,2022,16. |
APA | Habiyakare, Telesphore.,Zhang, Na.,Feng, Chu-Han.,Ndayisenga, Fabrice.,Kayiranga, Alphonse.,...&Shah, Suraj.(2022).The implementation of genetic algorithm for the identification of DNAPL sources.GROUNDWATER FOR SUSTAINABLE DEVELOPMENT,16. |
MLA | Habiyakare, Telesphore,et al."The implementation of genetic algorithm for the identification of DNAPL sources".GROUNDWATER FOR SUSTAINABLE DEVELOPMENT 16(2022). |
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