DiHPS - A Distributed Heat Pulse Sensor Network for the quantification of subsurface heat and water fluxes
DiHPS - A Distributed Heat Pulse Sensor Network for the quantification of subsurface heat and water fluxes
批准号:
NE/P003486/1
负责人:
Stefan Krause
金额:
$17.21万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
We propose the development of a novel, distributed soil moisture and temperature monitoring network that will present a step change from currently available monitoring technologies, which tend to be based on data collection at isolated points in time and space, to real-time, spatially-distributed data collection that enable effective and responsive decision making to deal with rapidly increasing demands in a changing climate.The proposed system will be based on combining Distributed Temperature Sensor (DTS) technology with an active heat source. The so-called Active DTS (A-DTS) allows observing flow-related heating and cooling patterns along the actively heated cable. It is this Distributed Heat Pulse, A-DTS technology that we will use in the development of the proposed Sensor network - DiHPS. While broader applications in heat and water flux assessments will be possible with DiHPS, in this project we will focus on demonstrating its suitability to quantify the moisture content and thermal properties of the soil.Description of the spatial and temporal distribution/ dynamics of these soil parameters is important for many agricultural, engineering and meteorological applications. Soil moisture, for example, is a key state variable in controlling land-atmosphere interactions and an early indicator of changes in the hydrological system, e.g. associated with daily evapotranspiration or event-based recharge cycles or with extreme events (i.e., droughts or floods). It is widely used in agriculture (e.g., irrigation management), forestry (e.g. plantation water demand estimations), meteorology (e.g. local and regional weather forecasts), water resources management (e.g. estimation of groundwater recharge) as well as a state indicator variable in drought / flood early warning systems. Soil thermal properties influence the partitioning of energy within the ground and at the ground surface, and are related to soil temperature and the movement of heat and water within the ground and their transfer across the ground surface. For these reasons, soil physicists, crop scientists and micrometeorologists study thermal properties, and they are also important in engineering applications, (e.g., determining the electric current rating of buried cables, ground heat exchanger design). We will build on earlier work which has demonstrated the principal capacity of A-DTS to measure soil moisture under controlled conditions in a lysimeter facility. We will expand this technology from a single point application to a distributed, real time sensor network and a coiled, vertical A-DTS profiler for measuring soil moisture content and thermal properties at high spatial and temporal resolution. The network and profiler will be tested at TRL4 by installing it at our test site at the Birmingham Institute for Forestry Research (BIFoR). The results will be compared with in-situ soil moisture content and thermal property data from Frequency-Domain Reflectometry (FDR) soil moisture probes and thermal needle probe measurements, respectively. To achieve real-time, autonomous system operation, a set of heating strategies will be tested and initial threshold (trigger values) will be defined. These will define at what change in soil temperature, as observed by continuous temperature observation in DTS passive mode, initiation/cessation of the DTS active mode will be triggered. A key component of DiHPS is the real-time control for triggering the change from active to passive observation mode. This will require the development of a set of algorithms, based on inverse modelling and asymptotic approaches, which can process the raw DTS data in real-time to provide the required outputs. No existing DTS-application attempts to provide temperature or soil moisture data temperature in such detail and in real-time. If successful, we anticipate a step change in the way DTS is employed, e.g. in early warning systems or for providing detailed process understanding.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
High-Resolution Monitoring of Soil Water Dynamics in a Vegetated Hillslope by Active Distributed Temperature Sensing. Abstract AGU Fall Meeting 2016
通过主动分布式温度传感对植被山坡土壤水动态进行高分辨率监测。
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
[Ciocca F.]
通讯作者:
Ciocca F.
The method controls the story - Sampling method impacts on the detection of pore-water nitrogen concentrations in streambeds.
该方法控制了故事 - 采样方法对河床孔隙水氮浓度检测的影响。
DOI:
10.1016/j.scitotenv.2019.136075
发表时间:
2020
期刊:
The Science of the total environment
影响因子:
--
作者:
[Comer-Warner S]
通讯作者:
Comer-Warner S
Using Actively Heated Fibre Optics (AHFO) to determine soil thermal conductivity and soil moisture content at high spatial and temporal resolution
使用主动加热光纤 (AHFO) 以高空间和时间分辨率确定土壤热导率和土壤水分含量
DOI:
--
发表时间:
2017
期刊:
EGU General Assembly Conference Abstracts
影响因子:
--
作者:
[Ciocca Francesco]
通讯作者:
Ciocca Francesco
Identification of floodplain and riverbed sediment heterogeneity in a meandering UK lowland stream by ground penetrating radar
利用探地雷达识别英国蜿蜒低地溪流中的漫滩和河床沉积物异质性
DOI:
10.1016/j.jappgeo.2019.103863
发表时间:
2019
期刊:
Journal of Applied Geophysics
影响因子:
2
作者:
[Dara R]
通讯作者:
Dara R
Controls on soil moisture temporal and spatial variability on a recently forested hill slope
对最近森林覆盖的山坡土壤湿度时空变化的控制
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
[Abesser, C]
通讯作者:
Abesser, C
共 7 条
NERC-NSFGEO SMARTWATER: Diagnosing controls of pollution hot spots and hot moments and their impact on catchment water quality
-
批准号:NE/X018830/1
-
项目类别:Research Grant
-
资助金额:$132.05万
-
财政年份:2023
-
负责人:Stefan Krause
-
依托单位:
Integrated Cross-Sectoral Solutions to Micro- and Nanoplastic Pollution in Soil and Groundwater Ecosystems
-
批准号:EP/X03626X/1
-
项目类别:Research Grant
-
资助金额:$33.8万
-
财政年份:2022
-
负责人:Stefan Krause
-
依托单位:
Reducing storm-induced contamination risks to water supply infrastructure by Active-Fibre-optic Distributed Temperature Sensing
-
批准号:NE/R014752/1
-
项目类别:Research Grant
-
资助金额:$32.52万
-
财政年份:2018
-
负责人:Stefan Krause
-
依托单位:
Demonstrating the potential of real-time EO for hydrological situation monitoring and early warning in the sentinel era
-
批准号:NE/N020502/1
-
项目类别:Research Grant
-
资助金额:$0.31万
-
财政年份:2016
-
负责人:Stefan Krause
-
依托单位:
Large woody debris -A river restoration panacea for streambed nitrate attenuation?
-
批准号:NE/L003872/1
-
项目类别:Research Grant
-
资助金额:$63.35万
-
财政年份:2014
-
负责人:Stefan Krause
-
依托单位:
Smart tracers and distributed sensor networks for quantifying the metabolic activity in streambed reactivity hotspots
-
批准号:NE/I016120/2
-
项目类别:Research Grant
-
资助金额:$3.72万
-
财政年份:2012
-
负责人:Stefan Krause
-
依托单位:
Smart tracers and distributed sensor networks for quantifying the metabolic activity in streambed reactivity hotspots
-
批准号:NE/I016120/1
-
项目类别:Research Grant
-
资助金额:$6.67万
-
财政年份:2011
-
负责人:Stefan Krause
-
依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2025
-
负责人:MATHIEULOUROCHLAURIERE
-
依托单位: