Assessing the impacts of an ecological water diversion project on water consumption through high-resolution estimations of actual evapotranspiration in the downstream regions of the Heihe River Basin, China

Abstract Ecological Water Diversion Projects (EWDPs) have been implemented in several endorheic river basins in the arid region of northwest China since the beginning of the new millennium to restore the deteriorated ecosystems. However, the effects of these EWDPs are difficult to evaluate quantitatively. Here, we assessed changes in water use in Ejin Oasis in the downstream region of the Heihe River Basin, which is a typical endorheic river basin in northwest China, based on the estimated evapotranspiration (ET) during the growing season (May to October) in 2000 (before the EWDP) and 2014 (after the EWDP). The ET estimates were based on the modified surface energy balance algorithm for land (M-SEBAL) model and Landsat images. The estimated ET was validated against observations using eddy covariance towers installed on different landscapes in 2014 and was found to have a root mean square error of 1.20 mm day−1 and a coefficient of determination of 0.67 at the footprint scale on satellite overpass days. The estimated ETs in two years were also compared with another remote sensing product that showed a similar spatial pattern, with a spatial mean difference of 4 mm and 0.5 mm, respectively. The estimated ET was then used to evaluate the impact of the EWDP on water consumption. The ET over different land use and land cover types increased, with a mean increase of 52% over the 15 years of the implementation of the EWDP in Ejin Oasis. The water consumption in Ejin Oasis in 2014 was approximately twice that in 2000. Among the changes, water consumption by croplands increased significantly, with a maximum increase of 264% because of cropland expansion and increased ET. The increases in water consumption by forests and grasslands were 60% and 25%, respectively. The lake area expanded drastically (from 0 to 37.46 km2), and the corresponding water consumption caused by evaporation was zero in 2000 and approximately 3.9 × 107 m3 from May to October in 2014. This work demonstrates that estimates of the ET based on remote sensing can be used as reliable indicators for comprehensive assessments of the impacts of the EWDPs.

[1]  G. Senay,et al.  Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin , 2015 .

[2]  Lisheng Song,et al.  Estimations of Regional Surface Energy Fluxes Over Heterogeneous Oasis–Desert Surfaces in the Middle Reaches of the Heihe River During HiWATER-MUSOEXE , 2015, IEEE Geoscience and Remote Sensing Letters.

[3]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[4]  Paul D. Colaizzi,et al.  Applications of a thermal-based two-source energy balance model using Priestley-Taylor approach for surface temperature partitioning under advective conditions , 2016 .

[5]  S. Shang,et al.  Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China , 2012 .

[6]  Martha C. Anderson,et al.  A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .

[7]  Ping Wang,et al.  Impacts of environmental flow controls on the water table and groundwater chemistry in the Ejina Delta, northwestern China , 2011 .

[8]  Jing Su,et al.  Hydrochemical characteristics and salinity of groundwater in the Ejina Basin, Northwestern China , 2005 .

[9]  Ayse Irmak,et al.  Treatment of anchor pixels in the METRIC model for improved estimation of sensible and latent heat fluxes , 2011 .

[10]  R. Kormann,et al.  An Analytical Footprint Model For Non-Neutral Stratification , 2001 .

[11]  Richard G. Allen,et al.  Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .

[12]  Ziwei Xu,et al.  Assessment of the Energy Balance Closure under Advective Conditions and Its Impact Using Remote Sensing Data , 2017 .

[13]  Lu Xu,et al.  Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration , 2015, Remote. Sens..

[14]  Xiangzheng Deng,et al.  Impacts of land use and land cover changes on surface energy and water balance in the Heihe River Basin of China, 2000–2010 , 2015 .

[15]  Ping Wang,et al.  Groundwater recharge and hydrogeochemical evolution in the Ejina Basin, northwest China , 2013 .

[16]  E. Vivoni,et al.  Impact of land surface states within the flux footprint on daytime land‐atmosphere coupling in two semiarid ecosystems of the Southwestern U.S. , 2016 .

[17]  Chenghu Zhou,et al.  A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data , 2009, Sensors.

[18]  Ping He,et al.  Water allocation and water consumption of irrigation agriculture and natural vegetation in the Heihe River watershed, NW China , 2015, Environmental Earth Sciences.

[19]  Shaomin Liu,et al.  Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China , 2013 .

[20]  E. Noordman,et al.  SEBAL model with remotely sensed data to improve water-resources management under actual field conditions , 2005 .

[21]  T. Vesala,et al.  On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .

[22]  Honglang Xiao,et al.  Integrated study of the water–ecosystem–economy in the Heihe River Basin , 2014 .

[23]  Xin Li,et al.  Landscape changes of the Ejin Delta in the Heihe River Basin in Northwest China from 1930 to 2010 , 2017 .

[24]  ON THE CHARACTERISTICS AND BUILDING OF LANDSCAPE ECOLOGY IN ARID AREA , 1999 .

[25]  Massimo Menenti,et al.  S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance , 2000 .

[26]  Ji Zhou,et al.  Application of remote sensing-based two-source energy balance model for mapping field surface fluxes with composite and component surface temperatures , 2016 .

[27]  H. Schmid,et al.  A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP) , 2015 .

[28]  T. Foken The energy balance closure problem: an overview. , 2008, Ecological applications : a publication of the Ecological Society of America.

[29]  Klaus Moeltner,et al.  Cloud-Sourcing: Using an Online Labor Force to Detect Clouds and Cloud Shadows in Landsat Images , 2015, Remote. Sens..

[30]  I. Sandholt,et al.  A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status , 2002 .

[31]  R. Dickinson,et al.  A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability , 2011 .

[32]  Natascha Kljun,et al.  Effect of spatial heterogeneity on the validation of remote sensing based GPP estimations , 2013 .

[33]  S. P. Pozdniakov,et al.  Shallow groundwater dynamics and its driving forces in extremely arid areas: a case study of the lower Heihe River in northwestern China , 2014 .

[34]  Jian Wang,et al.  Toward an improved data stewardship and service for environmental and ecological science data in West China , 2011, Int. J. Digit. Earth.

[35]  Ronglin Tang,et al.  Spatial-scale effect on the SEBAL model for evapotranspiration estimation using remote sensing data , 2013 .

[36]  D. Long,et al.  Comparison of three dual‐source remote sensing evapotranspiration models during the MUSOEXE‐12 campaign: Revisit of model physics , 2015 .

[37]  Yanzhao Zhou,et al.  Progress in the study of oasis-desert interactions , 2016 .

[38]  Prasanna H. Gowda,et al.  Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach , 2013 .

[39]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[40]  Lei Wang,et al.  Effects of different gap filling methods and land surface energy balance closure on annual net ecosystem exchange in a semiarid area of China , 2014, Science China Earth Sciences.

[41]  Liangxu Wang,et al.  A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system , 2017 .

[42]  Jiemin Wang,et al.  Intercomparison of surface energy flux measurement systems used during the HiWATER‐MUSOEXE , 2013 .

[43]  W. Brutsaert On a derivable formula for long-wave radiation from clear skies , 1975 .

[44]  F. I. Morton Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology , 1983 .

[45]  Liangxu Wang,et al.  Dynamic downscaling of near-surface air temperature at the basin scale using WRF-a case study in the Heihe River Basin, China , 2012, Frontiers of Earth Science.

[46]  Shaomin Liu,et al.  Validation of remotely sensed evapotranspiration over the Hai River Basin, China , 2012 .

[47]  R. Allen,et al.  At-Surface Reflectance and Albedo from Satellite for Operational Calculation of Land Surface Energy Balance , 2008 .

[48]  Alfred Stein,et al.  Validation of ETWatch using field measurements at diverse landscapes: A case study in Hai Basin of China , 2012 .

[49]  G. Katul,et al.  Soil moisture and vegetation controls on evapotranspiration in a heterogeneous Mediterranean ecosystem on Sardinia, Italy , 2006 .

[50]  Vaibhav Garg,et al.  Retrieval of land surface temperature from Landsat 8 TIRS for the command area of Mula irrigation project , 2016, Environmental Earth Sciences.

[51]  M. Glantz Water, Climate, and Development Issues in the Amu Darya Basin , 2005 .

[52]  V. Singh,et al.  Deriving theoretical boundaries to address scale dependencies of triangle models for evapotranspiration estimation , 2012 .

[53]  Kun Yang,et al.  A temperature prediction-correction method for estimating surface soil heat flux from soil temperature and moisture data , 2008 .

[54]  Ling Lu,et al.  Ejin Oasis Land Use and Vegetation Change between 2000 and 2011: The Role of the Ecological Water Diversion Project , 2015 .

[55]  Z. Su The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[56]  Maosheng Zhao,et al.  Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .

[57]  Martha C. Anderson,et al.  Advances in thermal infrared remote sensing for land surface modeling , 2009 .

[58]  Xiaolei Yu,et al.  Land Surface Temperature Retrieval from Landsat 8 TIRS - Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method , 2014, Remote. Sens..

[59]  Qing Xiao,et al.  Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design , 2013 .

[60]  Y. Ge,et al.  Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces , 2016 .

[61]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[62]  Dawen Yang,et al.  Interpreting the complementary relationship in non‐humid environments based on the Budyko and Penman hypotheses , 2006 .

[63]  Bin Wu,et al.  Exploring scale‐dependent ecohydrological responses in a large endorheic river basin through integrated surface water‐groundwater modeling , 2015 .

[64]  Zhe Zhu,et al.  Object-based cloud and cloud shadow detection in Landsat imagery , 2012 .

[65]  Hysteresis Effect of Runoff of the Heihe River on Vegetation Cover in the Ejina Oasis in Northwestern China , 2008 .

[66]  Li Jia,et al.  Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations , 2015, Remote. Sens..

[67]  Guobin Fu,et al.  Vegetation dynamics induced by groundwater fluctuations in the lower Heihe River Basin, northwestern China , 2011 .

[68]  Yuei-An Liou,et al.  Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review , 2014 .

[69]  Di Long,et al.  A modified surface energy balance algorithm for land (M‐SEBAL) based on a trapezoidal framework , 2012 .

[70]  Z. Niu,et al.  Watershed Allied Telemetry Experimental Research , 2009 .

[71]  Xin Li,et al.  Integrated research methods in watershed science , 2015, Science China Earth Sciences.

[72]  Di Long,et al.  Assessing the impact of end‐member selection on the accuracy of satellite‐based spatial variability models for actual evapotranspiration estimation , 2013 .

[73]  Shaomin Liu,et al.  A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem , 2011 .

[74]  Chunyan Zhao,et al.  Inland river terminal lake preservation: determining basin scale and the ecological water requirement , 2015, Environmental Earth Sciences.

[75]  Lisheng Song,et al.  Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes , 2015, IEEE Geoscience and Remote Sensing Letters.

[76]  C. Woodcock,et al.  Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images , 2015 .

[77]  Qi Feng,et al.  Environmental changes after ecological water conveyance in the lower reaches of Heihe River, northwest China , 2009 .

[78]  J. Norman,et al.  Correcting eddy-covariance flux underestimates over a grassland , 2000 .

[79]  Yuefei Huang,et al.  Identifying Vegetation Dynamics and Sensitivities in Response to Water Resources Management in the Heihe River Basin in China , 2015 .

[80]  Shengchun Xiao,et al.  Climatic and human drivers of recent lake-level change in East Juyan Lake, China , 2016, Regional Environmental Change.

[81]  S. Shang,et al.  A hybrid dual‐source scheme and trapezoid framework–based evapotranspiration model (HTEM) using satellite images: Algorithm and model test , 2013 .