University of Aberdeen, Aberdeen, UK.
, Potsdam, Germany.
Environ Monit Assess. 2023 Nov 27;195(12):1533. doi: 10.1007/s10661-023-12127-3.
Characterising spatial patterns in water temperature is important for monitoring aquatic habitats and understanding physical and biogeochemical processes to support environmental management decisions. As freshwater bodies exhibit high spatial and temporal variability, high-resolution 3D temperature data are essential to understand local anomalies. The acquisition of simultaneously high spatial and temporal datasets in the field has so far been limited by costs and/or workload associated with commonly used monitoring systems.We present a new, low-cost, spatially and temporally flexible 3D water temperature monitoring system, Surface Measures to Depth (SMeTD). SMeTD can be used to provide information on the relation of water surface temperature to changes with depth, characterise water temperature in 3D and ground truth remotely sensed thermal infrared data. The systems performance was tested under laboratory conditions and under controlled conditions in the field. This revealed an accuracy comparable to established but more expensive monitoring systems. Field testing of SMeTD involved 1-min data collection of 3D water temperature for a full diurnal cycle in a lake. The 3D temperature patterns were supported by a thermal infrared image of the lakes surface. The field dataset demonstrated higher water temperatures and higher water temperature variation at the surface compared to deeper layers. SMeTD can be used to observe a broad range of hydrological processes in natural and artificial aquatic environments and help to understand processes involved with energy budgets, infiltration, limnology, or groundwater surface water exchange.
描述水温的空间分布对于监测水生栖息地以及理解物理和生物地球化学过程以支持环境管理决策非常重要。由于淡水体具有高度的时空变异性,因此需要高分辨率的 3D 温度数据才能了解局部异常。迄今为止,由于与常用监测系统相关的成本和/或工作量,在现场同时获取高时空数据集受到限制。我们提出了一种新的、低成本、空间和时间灵活的 3D 水温监测系统,称为表面至深度测量(SMeTD)。SMeTD 可用于提供水面温度与深度变化关系的信息,描述 3D 中的水温,并对遥感热红外数据进行实地验证。该系统在实验室条件和现场控制条件下进行了性能测试。结果表明,其准确性可与更昂贵的监测系统相媲美。SMeTD 的现场测试涉及在一个湖泊中进行长达一整天的 1 分钟 3D 水温数据采集。3D 水温模式由湖泊表面的热红外图像支持。该现场数据集表明,与深层相比,水面处的水温更高,水温变化更大。SMeTD 可用于观察自然和人工水生环境中的广泛水文过程,并有助于理解与能量收支、入渗、湖沼学或地下水地表水交换相关的过程。