Irrigation cooling effect on land surface temperature across China based on satellite observations.

Sci Total Environ

Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, PR China. Electronic address:

Published: February 2020

The effect of irrigation on temperature has attracted much attention because its cooling effect may mask the warming due to other factors, such as greenhouse gas forcing. Although many studies have examined the irrigation cooling effect (ICE) based on near-surface air temperature from meteorological observations or climate model simulations, few studies have directly addressed the effect of irrigation on land surface temperature (LST), which is closely linked to the surface energy balance and near-surface air temperature. In this paper, an ICE detection (ICED) method is proposed to assess the effect of irrigation on LST using the Moderate Resolution Imaging Spectroradiometer (MODIS) products across China. The magnitude of the ICE is calculated as the LST difference between irrigated area and adjacent non-irrigated area in the self-adaptive moving window determined by the ICED method. The results show that irrigation cools daytime LST by 1.15 K, and cools nighttime LST by 0.13 K, on average, across irrigated areas in China. The effect of irrigation on LST differs greatly among the climate zones and seasons, characterized by the enhanced ICE in arid regions and the growing season. In the arid climate zone, nearly all the irrigated areas show a lower daytime LST than the adjacent non-irrigated areas, leading to a strong ICE magnitude of >6 K in the growing season. In the humid climate zone, the impact of irrigation on LST is generally negligible, with a magnitude around zero throughout the year. This study provides observational evidence and a comprehensive assessment of the effect of irrigation on LST. The proposed ICED method has the potential to be used to study the spatiotemporal variation of the effect of irrigation on LST over other regions with intensive irrigation.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2019.135984DOI Listing

Publication Analysis

Top Keywords

irrigation lst
20
iced method
12
irrigation
11
lst
10
irrigation cooling
8
land surface
8
surface temperature
8
near-surface air
8
air temperature
8
adjacent non-irrigated
8

Similar Publications

Solar radiation (Rs) is a major renewable energy source and also a crucial factor in designing solar panels, determining water requirement, and irrigation scheduling. In this study, meteorological parameters (air temperature, average air temperature, and relative humidity; Scenario 1), satellite image-based indices (normalized difference vegetation index: NDVI and land surface temperature: LST; Scenario 2), and their combination (Scenario 3) were used as predictors of Rs simulator models in Mashhad watershed (2005-2015). To this end, three different transfer function algorithms of the multi-layer perceptron (MLP), namely Levenberg-Marquardt backpropagation (MLP-LVM), gradient descend backpropagation (MLP-GDB), and batch training with weight and bias learning rules (MLP-BTWB), as well as two other machine learning models, M5 Tree and XGB (eXtreme Gradient Boosting), were employed.

View Article and Find Full Text PDF

Reference evapotranspiration (ET) estimation is crucial for efficient irrigation planning, optimized water management and ecosystem modeling, yet it presents significant challenges, particularly when meteorological data availability is limited. This study utilized remote sensing data of land surface temperature (LST), day of year, and latitude, and employed a machine learning approach (i.e.

View Article and Find Full Text PDF

Downscaling the MODIS land surface temperature using a trapezial concept applied to the MODIS and sentinel 2 images.

Environ Monit Assess

June 2024

Irrigation and Reclamation Engineering Dept., College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.

Downscaling methods are crucial for accessing high-resolution thermal data simultaneously. The DisTRAD model is commonly used for downscaling thermal images, but changes in soil moisture, such as those caused by irrigation operations, can lead to errors in the process. This study investigated the potential use of TOTRAM and OPTRAM models to reduce errors in LST downscaling in irrigated fields.

View Article and Find Full Text PDF

Remotely sensed evidence of the divergent climate impacts of wind farms on croplands and grasslands.

Sci Total Environ

December 2023

Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China. Electronic address:

To mitigate climate change, the utilization of wind energy has rapidly expanded over the last two decades. However, when producing clean electricity, wind farms (WFs) may in turn alter the local climate by interfering in land surface-atmosphere interactions. Currently, China and the United States have the highest wind energy capacities globally.

View Article and Find Full Text PDF

Consistency of spatiotemporal variability of MODIS and ERA5-Land surface warming trends over complex topography.

Environ Sci Pollut Res Int

September 2023

Department of Civil Engineering, Atilim University, Ankara, Turkey.

In this study, the trend of widely used MODIS MxD11 and MxD21 Land Surface Temperature (LST) and ERA5-Land Skin Temperature (SKT) and 2 m air temperature products were validated using 2 m air temperature trends obtained by ground observations from 266 stations in 2000-2021 over Turkey, known to have complex topography. The results show that colder regions have substantially higher temporal temperature variability than warmer ones. MxD21 and MxD11 products are 4.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!