Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Department of Electrical and Computer Engineering, University of New Hampshire, Durham, New Hampshire 03824, United States.
Environ Sci Technol. 2022 Oct 4;56(19):13546-13564. doi: 10.1021/acs.est.2c03562. Epub 2022 Sep 19.
Most soil quality measurements have been limited to laboratory-based methods that suffer from time delay, high cost, intensive labor requirement, discrete data collection, and tedious sample pretreatment. Real-time continuous soil monitoring (RTCSM) possesses a great potential to revolutionize field measurements by providing first-hand information for continuously tracking variations of heterogeneous soil parameters and diverse pollutants in a timely manner and thus enable constant updates essential for system control and decision-making. Through a systematic literature search and comprehensive analysis of state-of-the-art RTCSM technologies, extensive discussion of their vital hurdles, and sharing of our future perspectives, this critical review bridges the knowledge gap of spatiotemporal uninterrupted soil monitoring and soil management execution. First, the barriers for reliable RTCSM data acquisition are elucidated by examining typical soil monitoring techniques (e.g., electrochemical and spectroscopic sensors). Next, the prevailing challenges of the RTCSM sensor network, data transmission, data processing, and personalized data management are comprehensively discussed. Furthermore, this review explores RTCSM data application for updating diverse strategies including high-fidelity soil process models, control methodologies, digital soil mapping, soil degradation, food security, and climate change mitigation. Finally, the significance of RTCSM implementation in agricultural and environmental fields is underscored through illuminating future directions and perspectives in this systematic review.
大多数土壤质量测量都局限于基于实验室的方法,这些方法存在时间延迟、成本高、劳动力需求大、数据采集离散以及繁琐的样品预处理等问题。实时连续土壤监测 (RTCSM) 通过及时提供跟踪异质土壤参数和各种污染物变化的第一手信息,具有彻底改变现场测量的巨大潜力,从而实现系统控制和决策所需的持续更新。通过系统的文献检索和对最先进的 RTCSM 技术的全面分析,广泛讨论了它们的关键障碍,并分享了我们的未来展望,这篇重要的综述弥合了时空不间断土壤监测和土壤管理执行方面的知识差距。首先,通过检查典型的土壤监测技术(例如电化学和光谱传感器)来阐明可靠的 RTCSM 数据采集的障碍。接下来,全面讨论了 RTCSM 传感器网络、数据传输、数据处理和个性化数据管理的当前挑战。此外,本综述探讨了 RTCSM 数据在更新各种策略中的应用,包括高保真土壤过程模型、控制方法、数字土壤制图、土壤退化、粮食安全和气候变化缓解。最后,通过阐明在农业和环境领域实施 RTCSM 的未来方向和展望,强调了其重要性。