权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Collaborative Research: SitS NSF UKRI: Decoding Nitrogen Dynamics in Soil through Novel Integration of in-situ Wireless Soil Sensors with Numerical Modeling

合作研究：SitS NSF UKRI：通过原位无线土壤传感器与数值建模的新颖集成解码土壤中的氮动态

基本信息

批准号：
1935578
负责人：
Md Shaad Mahmud
金额：
$ 16万
依托单位：
University of New Hampshire
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-01-01 至 2022-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1935578&HistoricalAwards=false
关键词：
Collaborative Research SitS NSF UKRI

项目摘要

This project was awarded through the "Signals in the Soil (SitS)" opportunity, a collaborative solicitation that involves the United States Department of Agriculture National Institute of Food and Agriculture (USDA NIFA) and the following United Kingdom Research and Innovation (UKRI) research councils: 1) The Natural Environment Research Council (NERC), 2) the Biotechnology and Biological Sciences Research Council (BBSRC), 3) the Engineering and Physical Sciences Research Council (EPSRC), and the Science and Technology Facilities Council (STFC). Nitrate runoff from soil in drainage water from agricultural and horticultural lands into waterways, a process that is increased even more by nitrogen-containing fertilizer use, is a long-standing challenge for agricultural sustainability and environmental protection. One effective approach to improve efficiency of water and fertilizer use, and thereby decrease nitrate runoff, is through precision farming practices guided by real-time monitoring and near-term forecasts of crop irrigation and fertilization needs. Currently, there is a severe lack of reliable sensing technologies and modeling tools for monitoring the variability of soil moisture and nitrogen concentration over different scales. This interdisciplinary collaborative project involving researchers at the University of Connecticut and the University of New Hampshire in the U.S., and at the University of Southampton and the University of Reading in the U.K., aims to tackle the grand challenge of decoding nitrogen dynamics in soil through integration of four innovative solutions: 1) High frequency wireless nitrogen sensing technology; 2) Field-deployable high-accuracy calibration sensors in soil; 3) Real-time profiling of nitrogen species and soil moisture levels in two typical ecosystems (corn farm and deciduous forest); and 4) Data-driven modeling of nitrogen dynamics in the region of soil in the vicinity of plant roots where the soil chemistry and microbiology are influenced by root growth, respiration, and nutrient exchange. The proposed convergent research of innovative in-situ sensing and data-driven modeling will close the technology gap between soil signal detection and agricultural management. Unique integration of soil sensor development, lab-scale tests and field tests, wireless sensor networks, and model validation will yield significant impacts on broader scientific communities and key stakeholders. Multiple education and outreach initiatives, including hands-on experiments and online video clips, will stimulate student interest in STEM careers, especially for underrepresented groups. Interactions with industrial partners, policy makers, and end users will be strengthened through workshops and seminars. All these features contribute to improving resource use, better food security, and the reduction of soil and water contamination in the US and UK.By targeting two critical soil signals, nitrogen species (ammonium and nitrate) and soil moisture, this US-UK SitS collaborative project will be conducted through six interactive tasks. First, high frequency fine-resolution miniature hydrogel-coating solid-state ion selective membrane-based (HS-ISM) wireless nitrogen sensors will be developed by the US team to enable real-time in situ nitrogen detection in soil. Second, droplet-flow microfluidic-based sensors (DFMS) for nitrogen will be developed by the UK team for in situ calibration of the mass-deployed HS-ISM sensors. Third, low-cost and low-energy wireless networks will be developed for data collection from multiple sensors across large fields. Fourth, in a lab-scale soil system, HS-ISM nitrogen sensors, in conjunction with newly developed mm-sized soil moisture sensors (MSMS), will be assessed for high-resolution profiling and wireless data transmission capability and calibrated in situ using DFMS sensors. Fifth, wireless nitrogen sensors and MSMS sensors will be deployed at two ecosystems, a corn farm in the US and a forest ecosystem in the UK, and examined for 13 months. Finally, numerical models of the rhizosphere nitrogen cycle will be calibrated based on the in-situ nitrogen profiling data. These new numerical models will be used to simulate and predict the rhizosphere nitrogen dynamics under different weather and farming practices beyond the end of the project. This project will transform existing inefficient and labor-intensive soil analysis practices to an automated and highly-efficient soil nitrogen dynamics decoding and field modeling strategy. This project will lead to a better understanding of soil nitrogen dynamics and provide a new vision in nitrogen sensing technology and soil modeling methodology, enabling better soil management by key stakeholders in both the US and UK.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目是通过“土壤中的信号”机会授予的，这是一个涉及美国农业部国家粮食和农业研究所的合作招标。（USDA NIFA）和以下英国研究与创新（UKRI）研究委员会：1）自然环境研究理事会（NERC），2）生物技术和生物科学研究理事会（BBSRC），3）工程和物理科学研究理事会（EPSRC），和科学技术设施理事会（STFC）。硝酸盐从农田和园艺用地的排水中流入水道，这一过程因使用含氮肥料而增加，是农业可持续性和环境保护的长期挑战。提高水和肥料使用效率，从而减少硝酸盐径流的一种有效方法是通过实时监测和作物灌溉和施肥需求的短期预测指导下的精准农业实践。目前，严重缺乏可靠的传感技术和建模工具来监测不同尺度上土壤水分和氮浓度的变化。这个跨学科的合作项目涉及美国康涅狄格大学和新罕布什尔州大学的研究人员，以及英国的南安普顿大学和阅读大学，旨在通过整合四种创新解决方案来应对解码土壤中氮动态的巨大挑战：1）高频无线氮传感技术; 2）可现场部署的高精度土壤校准传感器; 3）两种典型生态系统中氮形态和土壤水分水平的实时分析（玉米农场和落叶林）;和4）数据驱动的模拟氮动态在土壤中的植物根部附近的土壤化学和微生物学的根生长，呼吸和养分交换的影响。创新的原位传感和数据驱动建模的融合研究将缩小土壤信号检测和农业管理之间的技术差距。土壤传感器开发、实验室规模测试和现场测试、无线传感器网络和模型验证的独特集成将对更广泛的科学界和关键利益相关者产生重大影响。多种教育和推广活动，包括动手实验和在线视频剪辑，将激发学生对STEM职业的兴趣，特别是对于代表性不足的群体。将通过讲习班和研讨会加强与工业伙伴、决策者和最终用户的互动。所有这些功能有助于提高资源利用，更好的粮食安全，并减少土壤和水污染在美国和英国。通过针对两个关键的土壤信号，氮物种（铵和硝酸盐）和土壤水分，这个美英SitS合作项目将通过六个互动任务进行。首先，美国团队将开发高频精细分辨率微型水凝胶涂层固态离子选择性膜（HS-ISM）无线氮传感器，以实现土壤中氮的实时原位检测。其次，英国团队将开发用于氮气的液滴流微流体传感器（DFMS），用于现场校准大规模部署的HS-ISM传感器。第三，将开发低成本和低能耗的无线网络，用于从大型领域的多个传感器收集数据。第四，在一个实验室规模的土壤系统，HS-ISM氮传感器，结合新开发的毫米大小的土壤水分传感器（MSMS），将评估高分辨率剖面和无线数据传输能力，并在现场校准DFMS传感器。第五，无线氮传感器和MSMS传感器将部署在两个生态系统中，美国的玉米农场和英国的森林生态系统，并进行为期13个月的检查。最后，根际氮循环的数值模型将被校准的基础上原位氮剖面数据。这些新的数值模型将用于模拟和预测项目结束后不同天气和耕作措施下的根际氮动态。该项目将把现有的低效和劳动密集型的土壤分析实践转变为自动化和高效的土壤氮动态解码和田间建模策略。该项目将导致更好地了解土壤氮动态，并提供了一个新的视野，在氮传感技术和土壤建模方法，使更好的土壤管理的关键利益相关者在美国和英国。该奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的知识价值和更广泛的影响审查标准的支持。