Neumann Kyle C, La Daniel, Yoo Hyemin, Burkepile Deron E
UC Santa Barbara, United States.
HardwareX. 2022 Dec 30;13:e00392. doi: 10.1016/j.ohx.2022.e00392. eCollection 2023 Mar.
Water chemistry conditions in freshwater and marine environments can change rapidly over both space and time. This is especially true in environments that are exposed to anthropogenic impacts such as sedimentation, sewage, runoff and other types of pollution. It is critical in studying these systems that researchers have tools capable of accurately collecting water samples across relevant spatial and temporal scales. Here we present an inexpensive, open-source Programmable Autonomous Water Sampler (PAWS) that is open source, compact, robust, highly adaptable and submersible to 40 m. PAWS utilizes a time-integrated sampling approach by collecting a single sample in a syringe slowly over minutes to days. Once analyzed, data from the sample collected represents and integrated average of water chemistry conditions over time. Due to its adaptability and low cost, PAWS has the potential to improve the spatial and temporal coverage of many freshwater and marine studies.
淡水和海洋环境中的水化学条件会在空间和时间上迅速变化。在受到诸如沉积、污水、径流和其他类型污染等人为影响的环境中尤其如此。对于研究这些系统而言，研究人员拥有能够在相关空间和时间尺度上准确采集水样的工具至关重要。在此，我们展示了一种廉价的开源可编程自主水采样器（PAWS），它开源、紧凑、坚固、高度可适应且可潜入水下40米。PAWS采用时间积分采样方法，通过在数分钟到数天的时间内缓慢地在注射器中收集单个样本。一旦进行分析，所采集样本的数据代表了一段时间内水化学条件的综合平均值。由于其适应性和低成本，PAWS有潜力改善许多淡水和海洋研究的空间和时间覆盖范围。
