Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

The Yanqi basin is the main irrigated and active agroecosystem in semi-arid Xinjiang, northwestern China, which further seeks responses to the profound local water-related drawbacks in relation to the unceasing landscape desiccation and scant precipitation. Yet, it comes as an astonishment that a few reported near-surface items and water vapor fluxes as so far required for water resources decision support, particularly in a scarce observation data region. As a contributive effort, here we adjusted the sensible heat flux (H) calibration mechanism of Surface Energy Balance Algorithm for Land (SEBAL) to high-resolution satellite dataset coupled with in-situ observation, through a wise guided “anchor” pixel assortment from surface reflectance-α, Leaf area index-LAI, vegetation index-NDVI, and surface temperature (Pcold, Phot) to model the robustness of energy fluxes and Evapotranspiration-ETa over the basin. Results reasonably reflected ETa which returned low RMSE (0.6 mm d−1), MAE (0.48 mm d−1) compared to in-situ recordings, indicating the competence of SEBAL to predict vapor fluxes in this region. The adjustment unveiled the estimates of the land-use contribution to evapotranspiration with an average ranging from 3 to 4.69 mm d−1, reaching a maximum of 5.5 mm d−1. Furthermore, findings showed a high striking energy dissipation (LE/Rn) across grasslands and wetlands. The vegetated surfaces with a great evaporative fraction were associated with the highest LE/Rn (70–90%), and water bodies varying between 20% and 60%, while the desert ecosystem dissipated the least energy with a low evaporative fraction. Still, besides high portrayed evaporation in water, grasslands and wetlands varied interchangeably in accounting for the highest ETa followed by cropland. Finally, a substantial nexus between available energy (Rn-G) and ETa informed the available energy, influenced by NDVI to be the primary driver of these oases’ transpiration. This study provides essentials of near-surface energy fluxes and the likelihood of ETa with considerable baseline inferences for Yanqi that may be beneficial for long-term investigations that will attend in agrometeorological services and sustainable management of water resources in semi-arid regions.

[1]  Bernard A. Engel,et al.  Water environment carrying capacity in Bosten Lake basin , 2018, Journal of Cleaner Production.

[2]  Albert Olioso,et al.  Uncertainty assessment of surface net radiation derived from Landsat images , 2016 .

[3]  Robert D. Hollister,et al.  Nonlinear controls on evapotranspiration in arctic coastal wetlands , 2011 .

[4]  B. Merkel,et al.  Actual Evapotranspiration in the Al-Khazir Gomal Basin (Northern Iraq) Using the Surface Energy Balance Algorithm for Land (SEBAL) and Water Balance , 2015 .

[5]  Xiaoqin Wu,et al.  Effect of transpiration on plant accumulation and translocation of PPCP/EDCs. , 2015, Environmental pollution.

[6]  B. Hurk,et al.  Wetland versus open water evaporation: An analysis and literature review , 2012 .

[7]  P. Gowda,et al.  Lysimetric evaluation of SEBAL using high resolution airborne imagery from BEAREX08 , 2013 .

[8]  Y. Hong,et al.  Vegetation Greening and Climate Change Promote Multidecadal Rises of Global Land Evapotranspiration , 2015, Scientific Reports.

[9]  G. Luo,et al.  Modelling evapotranspiration in a Central Asian desert ecosystem , 2011 .

[10]  Steven R. Evett,et al.  Advection Influences on Evapotranspiration of Alfalfa in a Semiarid Climate , 2006 .

[11]  Yaning Chen,et al.  Hydroclimatic changes of Lake Bosten in Northwest China during the last decades , 2018, Scientific Reports.

[12]  Khalid A. Al-Gaadi,et al.  Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images , 2017 .

[13]  J. Pokorný,et al.  The importance of wetlands in the energy balance of an agricultural landscape , 2014, Wetlands Ecology and Management.

[14]  Muthanna A. Al-Tameemi,et al.  Global water cycle and solar activity variations , 2016 .

[15]  Jungho Im,et al.  A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models , 2017 .

[16]  Ayse Irmak,et al.  Satellite‐based ET estimation in agriculture using SEBAL and METRIC , 2011 .

[17]  Xiaode Zhou,et al.  Investigation of the dramatic changes in lake level of the Bosten Lake in northwestern China , 2014, Theoretical and Applied Climatology.

[18]  Jianhua Xu,et al.  Has the Bosten Lake Basin been dry or wet during the climate transition in Northwest China in the past 30 years? , 2020, Theoretical and Applied Climatology.

[19]  A. Lang,et al.  The influence of local advection on evapotranspiration from irrigated rice in a semi-arid region , 1974 .

[20]  Qiang Yu,et al.  Quantifying the effects of advection on canopy energy budgets and water use efficiency in an irrigated wheat field in the North China Plain , 2007 .

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

[22]  Anthony Morse,et al.  Evapotranspiration from Landsat (SEBAL) for water rights management and compliance with multi-state water compacts , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[23]  William P. Kustas,et al.  An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes , 2007 .

[24]  W. J. Kramber,et al.  Automated Calibration of the METRIC‐Landsat Evapotranspiration Process , 2013 .

[25]  G. Luo,et al.  Mapping evapotranspiration variability over a complex oasis-desert ecosystem based on automated calibration of Landsat 7 ETM+ data in SEBAL , 2019, GIScience & Remote Sensing.

[26]  Lian-Tong Zhou,et al.  Influence of thermal state of warm pool in western Pacific on sensible heat flux , 2013 .

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

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

[29]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[30]  Demetris Koutsoyiannis,et al.  A parsimonious regional parametric evapotranspiration model based on a simplification of the Penman-Monteith formula , 2015 .

[31]  F. Ludwig,et al.  Global water resources affected by human interventions and climate change , 2013, Proceedings of the National Academy of Sciences.

[32]  Auro C. Almeida,et al.  Growth and water balance of Eucalyptus grandis hybrid plantations in Brazil during a rotation for pulp production , 2007 .

[33]  Hiroko Kato Beaudoing,et al.  Estimating evapotranspiration using an observation based terrestrial water budget , 2011 .

[34]  M. Mhawej,et al.  Dynamic calibration for better SEBALI ET estimations: Validations and recommendations , 2020 .

[35]  Zheng Liu,et al.  Evapotranspiration estimation based on the SEBAL model in the Nansi Lake Wetland of China , 2011, Math. Comput. Model..

[36]  Bill X. Hu,et al.  Evaluating the interactions between surface water and groundwater in the arid mid-eastern Yanqi Basin, northwestern China , 2018, Hydrological Sciences Journal.

[37]  Liangxia Zhang,et al.  Surface energy exchanges above two grassland ecosystems on the Qinghai-Tibetan Plateau , 2009 .

[38]  Matteo Gentilucci,et al.  Calculation of Potential Evapotranspiration and Calibration of the Hargreaves Equation Using Geostatistical Methods over the Last 10 Years in Central Italy , 2021, Geosciences.

[39]  M. Ma,et al.  Evapotranspiration components and water use efficiency from desert to alpine ecosystems in drylands , 2021 .

[40]  J. Pokorný,et al.  Wetlands as energy-dissipating systems , 2010, Journal of Industrial Microbiology & Biotechnology.

[41]  S. Rapsomanikis,et al.  Seasonal evapotranspiration, energy fluxes and turbulence variance characteristics of a Mediterranean coastal grassland , 2016 .

[42]  B. Wilcox,et al.  Effect of Vegetation on the Energy Balance and Evapotranspiration in Tallgrass Prairie: A Paired Study Using the Eddy-Covariance Method , 2018, Boundary-Layer Meteorology.

[43]  Xueer Chang,et al.  Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China , 2020, Sustainability.

[44]  S. Kanae,et al.  Global Hydrological Cycles and World Water Resources , 2006, Science.

[45]  Gautam Bisht,et al.  Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days , 2005 .

[46]  W. Schlesinger,et al.  Transpiration in the global water cycle , 2014 .

[47]  Yaning Chen,et al.  The Natural Vegetation Responses to the Groundwater Change Resulting from Ecological Water Conveyances to the Lower Tarim River , 2007, Environmental monitoring and assessment.

[48]  Gregory Duveiller,et al.  The mark of vegetation change on Earth’s surface energy balance , 2018, Nature Communications.

[49]  Weiguang Wang,et al.  The response of reference evapotranspiration to climate change in Xinjiang, China: Historical changes, driving forces, and future projections , 2019, International Journal of Climatology.

[50]  Assefa M. Melesse,et al.  Analysis of energy fluxes and land surface parameters in a grassland ecosystem: a remote sensing perspective , 2008 .

[51]  Claudio O. Stöckle,et al.  Evaluation of estimated weather data for calculating Penman-Monteith reference crop evapotranspiration , 2004, Irrigation Science.

[52]  Xiaoyun Li,et al.  Influence of mulched drip irrigation on landscape scale evapotranspiration from farmland in an arid area , 2020 .

[53]  M. Tasumi,et al.  Integrating satellite-based evapotranspiration with simulation models for irrigation management at the scheme level , 2008, Irrigation Science.

[54]  Richard H. Cuenca,et al.  Application of Landsat to Evaluate Effects of Irrigation Forbearance , 2013, Remote. Sens..

[55]  C. Vincke,et al.  Water table is a relevant source for water uptake by a Scots pine (Pinus sylvestris L.) stand: Evidences from continuous evapotranspiration and water table monitoring , 2008 .

[56]  Mario Mhawej,et al.  Open-source Google Earth Engine 30-m evapotranspiration rates retrieval: The SEBALIGEE system , 2020, Environ. Model. Softw..

[57]  Chong-Yu Xu,et al.  Evapotranspiration estimation methods in hydrological models , 2013, Journal of Geographical Sciences.

[58]  Y. Sheng,et al.  Impact of amplified evaporation due to lake expansion on the water budget across the inner Tibetan Plateau , 2019, International Journal of Climatology.

[59]  Yun Yang,et al.  Effects of land-use change and drought on decadal evapotranspiration and water balance of natural and managed forested wetlands along the southeastern US lower coastal plain , 2021, Agricultural and Forest Meteorology.

[60]  Mengmeng Li,et al.  Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images , 2020, Remote. Sens..

[61]  Stefan Zerbe,et al.  Water allocation and water consumption of irrigated agriculture and natural vegetation in the Aksu-Tarim river basin, Xinjiang, China , 2015 .

[62]  Albert Poponi Maniraho,et al.  Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China , 2021, Landscape Ecology.