Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China

Remote Sensing, 6(3):2514-2533, 2014, DOI: 10.3390/rs6032514

20 Pages Posted: 10 Oct 2014

See all articles by Yanmin Yang

Yanmin Yang

Key Laboratory of Agricultural Water Resources

Yonghui Yang

Key Laboratory of Agricultural Water Resources

De Liu

NSW DPI, Wagga Wagga

Thomas L. Nordblom

Graham Centre for Agricultural Innovation (Charles Sturt University & NSW DPI)

Bingfang Wu

Institute of Remote Sensing and Digital Earth

Nana Yan

Key Lab. of Digital Earth Sciences

Date Written: April 30, 2014

Abstract

Optimal planning and management of the limited water resources for maximum productivity in agriculture requires quantifying the irrigation applied at a regional scale. However, most efforts involving remote sensing applications in assessing large-scale irrigation applied (IA) have focused on supplying spatial variables for crop models or studying evapotranspiration (ET) inversions, rather than directly building a remote sensing data-based model to estimate IA. In this study, based on remote sensing data, an IA estimation model together with an ET calculation model (ETWatch) is set up to simulate the spatial distribution of IA in the Haihe Plain of northern China. We have verified this as an effective approach for the simulation of regional IA, being more reflective of regional characteristics and of higher resolution compared to single site-specific results. The results show that annual ET varies from 527 mm to 679 mm and IA varies from 166 mm to 289 mm, with average values of 602 mm and 225 mm, respectively, from 2002 to 2007. We confirm that the region along the Taihang Mountain in Hebei Plain has serious water resource sustainability problems, even while receiving water from the South-North Water Transfer (SNWT) project. This is due to the region’s intensive agricultural production and declining groundwater tables. Water-saving technologies, including more timely and accurate geo-specific IA assessments, may help reduce this threat.

Keywords: ETWatch, remote sensing technique, ET, irrigation requirement

JEL Classification: C63, H44, N5, O2, Q25

Suggested Citation

Yang, Yanmin and Yang, Yonghui and Liu, De and Nordblom, Thomas L. and Wu, Bingfang and Yan, Nana, Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China (April 30, 2014). Remote Sensing, 6(3):2514-2533, 2014, DOI: 10.3390/rs6032514. Available at SSRN: https://ssrn.com/abstract=2431150

Yanmin Yang

Key Laboratory of Agricultural Water Resources ( email )

Center for Agricultural Resources Research
286 Huaizhong Road
Shijiazhuang 050020, 050020
China
+86-311-8581-4368 (Phone)

Yonghui Yang

Key Laboratory of Agricultural Water Resources ( email )

Center for Agricultural Resources Research
286 Huaizhong Road
Shijiazhuang 050020, 050020
China

De Liu

NSW DPI, Wagga Wagga ( email )

WWAI
Pine Gully Road
Wagga Wagga, NSW, New South Wales 2650
Australia

Thomas L. Nordblom (Contact Author)

Graham Centre for Agricultural Innovation (Charles Sturt University & NSW DPI) ( email )

Albert Pugsley Place
Wagga Wagga, NSW 2650
Australia
+61419290428 (Phone)

HOME PAGE: http://www.csu.edu.au/research/grahamcentre/our-people/members2/tom-nordblom

Bingfang Wu

Institute of Remote Sensing and Digital Earth ( email )

Key Lab. Of Digital Earth Sciences
P.O. Box 9718, No. 20, Datun Road
Olympic Science Park, Beijing, 100101
China

Nana Yan

Key Lab. of Digital Earth Sciences ( email )

Institute of Remote Sensing and Digital Earth
P.O. Box 9718, No. 20, Datun Road
Olympic Science Park, Beijing, 100101
China

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