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年度	108	專案性質	實驗性質
專案類別	研究專案	研究主題	自訂
申請機構	國立中央大學	申請系所	應用地質研究所
專案主持人	陳瑞昇	職等/職稱	教授
專案中文名稱	精進含氯有機溶劑地下水污染傳輸快速預測工具發展與人體健康風險評估應用
中文關鍵字	BIOCHLOR, 解析解, 含氯溶劑, 傳輸, 健康風險評估
專案英文名稱	Advancement of fast model for predicting the transport at chlorinated-solvent contaminated site and its application to health risk assessment
英文關鍵字	BIOCHLOR, analytical model, chlorinated solvent, transport, health risk assessment
執行金額	696,086元
執行期間	2019/1/1 至 2019/12/31
計畫中文摘要	美國環保署地表下模式支援中心開放公開下載的BIOCHLOR模式為模擬含氯溶劑污染場址污染地下水自然衰減整治的篩選模式，然而BIOCHLOR模式僅能適用「所有物種使用相同遲滯因子」且「縱向延散係數不大時」。本專案工作提出一個全新的解析解模式以做為快速模擬含氯溶劑污染地下水多物種傳輸的解析解模式，模式發展主要是藉由三個積分轉換法與常微分的數學方法求解一組由一序列降解反應耦合的傳輸偏微分方程組，經由比較本專案所發展的解析解與文獻中有限域多物種傳輸解析解兩者所得的結果的一致性確認本專案解析解與其Fortran計算程式的正確性與準確性，另外本專案解析解模式的計算濃度的速度相較於文獻有限域多物種傳輸解析解可以非常有效的加快達9,000倍。本專案也利用所發展的解析解進行BIOCHLOR在三維模擬的功能表現評估，評估結果為當特定物種的遲滯因子相較含氯溶劑的5個物種的遲滯因子平均值小時，BIOCHLOR可能低估這些物種的移動性與尖峰濃度。最後，我們也利用本專案所發展解析解模式結合健康風險模式進行含氯溶劑污染場址污染地下水的健康風險評估。
計畫英文摘要	The BIOCHLOR model provided by the Center for Subsurface Modeling Support (CSMoS) of USEPA is an easy-to-use screening model that simulates aquifer remediation by natural attenuation of dissolved multi-species solvents at chlorinated-solvent contaminated site. However, the BIOCHLOR analytical model is only valid for all species having the same retardation factors and the longitudinal dispersion coefficients being not large. In this the project, we derive a novel analytical model for rapidly simulating multispecies dissolved chlorinated solvent transport problems. The analytical model is obtained by solving a set of transport equations sequentially coupled by a series of degradation reactions using three integral transformation techniques in combination with the mathematical method for solving second-order ordinary differential equations. The correctness of the mathematical model and its auxiliary Fortran computer program code is confirmed with excellent agreement between the derived mathematical model and multispecies transport analytical model for a finite domain. Moreover, the derived analytical model can perform a computation much more quickly with 9,000 speed-up than the analytical model derived for a finite domain can. The performance of BIOCHLOR is also evaluated using our derived analytical model. The evaluated result shows that BIOCHLOR can overestimate the mobility and peak concentration of the species with a retardation factor being smaller than the average value of retardation factors for 5 species. Ultimately, we present an application example that couples derived novel analytical model with the risk assessment model for assessing health risk at a chlorinated-solvent contaminated site.