环境数据的目标源检测
Targeted Source Detection for Environmental Data
摘要：
面对日益增长的水和能源需求，从根本上了解人类活动对环境的影响，对于管理水和能源资源、补救水污染以及明智地制定监管政策至关重要。在影响环境的活动中，包括石油和天然气生产，废水运输和城市化。除了人为污染的发生，一些污染物的存在（例如，甲烷、盐和硫酸盐）的天然来源并不罕见。因此，科学家有时很难确定耦合的自然和人类系统中的污染物来源。在本文中，我们提出了一种技术，同时进行源检测和预测，它优于其他方法在跨学科的案例研究中的潜在地下水污染的识别区域内的高密度页岩气开发。
英文摘要：
In the face of growing needs for water and energy, a fundamental understanding of the environmental impacts of human activities becomes critical for managing water and energy resources, remedying water pollution, and making regulatory policy wisely. Among activities that impact the environment, oil and gas production, wastewater transport, and urbanization are included. In addition to the occurrence of anthropogenic contamination, the presence of some contaminants (e.g., methane, salt, and sulfate) of natural origin is not uncommon. Therefore, scientists sometimes find it difficult to identify the sources of contaminants in the coupled natural and human systems. In this paper, we propose a technique to simultaneously conduct source detection and prediction, which outperforms other approaches in the interdisciplinary case study of the identification of potential groundwater contamination within a region of high-density shale gas development.
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