About the Journal
In Memory of Professor Jerzy Radecki
Ownership and Management Statement
Editorial Office
Editorial Board
Scope
Impact Factor
Indexed by
Journal Impact Factor contributing items
Publication Frequency
Revenue Sources & Business Model
Contact
Subscription
Current issue
Online first
Instructions for Authors
Copyright & Licensing
Publication Fees
Editorial policies
Publication Policy Overview
Peer Review Policy
Research Ethics and Malpractice Policy
Plagiarism Policy
Conflict of Interest Policy
Open Access Policy
Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Advertising Policy
Direct Marketing & Manuscript Solicitation
Digital Archiving and Preservation Policy
CrossMark, Correction, and Retraction Policy
Archive
Publication Fees
Copyright & Licensing
Editorial policies
Publication Policy Overview
Peer Review Policy
Research Ethics and Malpractice Policy
Plagiarism Policy
Conflict of Interest Policy
Open Access Policy
Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Advertising Policy
Direct Marketing & Manuscript Solicitation
Digital Archiving and Preservation Policy
CrossMark, Correction, and Retraction Policy
eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Temporal and Spatial Evolution Patterns
of 8-Day 30 m Evapotranspiration
in the Yellow River Basin of Inner Mongolia
and Its Response to Land Cover Changes
1
Inner Mongolia Key Laboratory of Ecohydrology and High-Efficient Utilization of Water Resources, College of Water
Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
2
Autonomous Region Collaborative Innovation Center for Integrated Management of Water Resources and Water
Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot 010018, China
Submission date: 2024-06-05
Final revision date: 2024-07-06
Acceptance date: 2024-08-03
Online publication date: 2024-10-30
Publication date: 2025-07-22
Corresponding author
Xin Tong
Inner Mongolia Key Laboratory of Ecohydrology and High-Efficient Utilization of Water Resources, College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
Inner Mongolia Key Laboratory of Ecohydrology and High-Efficient Utilization of Water Resources, College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
Tingxi Liu
Inner Mongolia Key Laboratory of Ecohydrology and High-Efficient Utilization of Water Resources, College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
Inner Mongolia Key Laboratory of Ecohydrology and High-Efficient Utilization of Water Resources, College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
Pol. J. Environ. Stud. 2025;34(5):5899-5918
KEYWORDS
TOPICS
ABSTRACT
Land evapotranspiration (ET) is essential for the hydrological cycle and surface energy balance.
Investigating the spatiotemporal evolution and response to land cover changes is of significance in
socioeconomic development and regional water resource management. However, consistent estimation
of ET is challenging due to “space-time” conflicts in optical remote sensing data and susceptibility to
cloud contamination. This study adopted the GF-SG model for reconstructing high-resolution NDVI
time-series data from the Yellow River Basin of Inner Mongolia. These data were then input into the
Priestly-Taylor Jet Propulsion Laboratory (PT-JPL) model for improving the resolution of ET retrieval.
ET was estimated at an 8-day 30m resolution from 2000 to 2022, and its spatiotemporal patterns were
analyzed. The model sensitivity parameters were optimized and validated based on in-situ observations
from the eddy covariance stations. The optimized PT-JPL model demonstrated excellent simulation
results in the basin, with calibration period accuracy ranging from the R2 of 0.88 to 0.91, RMSE between
0.57 and 0.60 mm/d, and MAE from 0.38 to 0.46 mm/d. The validation period accuracy ranged from
the R2 of 0.85 to 0.87, RMSE between 0.54 and 0.72 mm/d, MAE from 0.36 to 0.47 mm/d. Over the past
23 years, the mean basin-wide ET has been 304.18 mm, with an increasing trend of 2.587 mm/year.
Spatially, ET exhibited west-low and east-high distributions. Across the basin, most (82%) of the trends
in ET change were not significant, with noticeable increases mainly in the eastern regions, such as
the Daheihe and Hunhe River Basins. Future ET trends mainly showed increasing or non-continuing patterns. The sequence of ET increase in various land use transfer areas was transfer to forest land >
transfer to cropland > transfer to construction land > transfer to grassland > transfer to unused land.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (41)
1.
MA N., ZHANG Y.J.A., METEOROLOGY F. Increasing Tibetan Plateau terrestrial evapotranspiration primarily driven by precipitation, 317, 108887, 2022. https://doi.org/10.1016/j.agrf....
2.
LIU Y., QIU G., ZHANG H., YANG Y., ZHANG Y., WANG Q., ZHAO W., JIA L., JI X., XIONG Y.J.S.C.E.S. Shifting from homogeneous to heterogeneous surfaces in estimating terrestrial evapotranspiration: Review and perspectives, 1, 2022.
3.
MA N., SZILAGYI J., ZHANG Y.J.W.R.R. Calibration-free complementary relationship estimates terrestrial evapotranspiration globally, 57 (9), e2021WR029691, 2021. https://doi.org/10.1029/2021WR....
4.
LI X., ZOU L., XIA J., DOU M., LI H., SONG Z.J J.O.H. Untangling the effects of climate change and land use/cover change on spatiotemporal variation of evapotranspiration over China, 612, 128189, 2022. https://doi.org/10.1016/j.jhyd....
5.
LI X., WANG Y., XUE B., ZHANG X., WANG G.J.H.P. Attribution of runoff and hydrological drought changes in an ecologically vulnerable basin in semi‐arid regions of China, 37 (10), e15003, 2023. https://doi.org/10.1002/hyp.15....
6.
MA N., ZHANG Y., SZILAGYI J.J.J.O.H. Water-balance-based evapotranspiration for 56 large river basins: A benchmarking dataset for global terrestrial evapotranspiration modeling, 630, 130607, 2024. https://doi.org/10.1016/j.jhyd....
7.
BHATTARAI N., WAGLE P.J.R.S. Recent advances in remote sensing of evapotranspiration, 13 (21), 4260, 2021. https://doi.org/10.3390/rs1321....
8.
MARSHALL M., TU K., ANDREO V.J.W.R.R. On parameterizing soil evaporation in a direct remote sensing model of ET: PT‐JPL, 56 (5), e2019WR026290, 2020. https://doi.org/10.1029/2019WR....
9.
WEBSTER E., RAMP D., KINGSFORD R.T.J.R.S.O.E. Incorporating an iterative energy restraint for the Surface Energy Balance System, 198, 267, 2017. https://doi.org/10.1016/j.rse.....
10.
YANG Y., QIU J., ZHANG R., HUANG S., CHEN S., WANG H., LUO J., FAN Y.J.R.S. Intercomparison of three two-source energy balance models for partitioning evaporation and transpiration in semiarid climates, 10 (7), 1149, 2018. https://doi.org/10.3390/rs1007....
11.
TAPIADOR F.J., NAVARRO A., MORENO R., SÁNCHEZ J. L., GARCÍA-ORTEGA E.J.A.R. Regional climate models: 30 years of dynamical downscaling, 235, 104785, 2020. https://doi.org/10.1016/j.atmo....
12.
TANG R., PENG Z., LIU M., LI Z.-L., JIANG Y., HU Y., HUANG L., WANG Y., WANG J., JIA L.J.R.S.O.E. Spatial-temporal patterns of land surface evapotranspiration from global products, 304, 114066, 2024. https://doi.org/10.1016/j.rse.....
13.
DE RODA HUSMAN S., LHERMITTE S., BOLIBAR J., IZEBOUD M., HU Z., SHUKLA S., VAN DER MEER M., LONG D., WOUTERS B.J.R.S.O.E. A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning, 301, 113950, 2024. https://doi.org/10.1016/j.rse.....
14.
MA J., SHEN H., WU P., WU J., GAO M., MENG C.J.R.S.O.E. Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multisource satellite-observed and model-simulated data, 278, 113083, 2022. https://doi.org/10.1016/j.rse.....
15.
LI W., ZHANG X., PENG Y., DONG M.J.I.J.O.R.S. Spatiotemporal fusion of remote sensing images using a convolutional neural network with attention and multiscale mechanisms, 42 (6), 1973, 2021. https://doi.org/10.1080/014311....
16.
CHEN Y., CAO R., CHEN J., LIU L., MATSUSHITA B.J.I.J.O.P., SENSING R. A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky-Golay filter, 180, 174, 2021. https://doi.org/10.1016/j.ispr....
17.
JIA K., HASAN U., JIANG H., QIN B., CHEN S., LI D., WANG C., DENG Y., SHEN J.J.I.J.O.A.E.O., GEOINFORMATION How frequent the Landsat 8/9-Sentinel 2A/B virtual constellation observed the earth for continuous time series monitoring, 130, 103899, 2024. https://doi.org/10.1016/j.jag.....
18.
CAO R., XU Z., CHEN Y., CHEN J., SHEN M.J.R.S. Reconstructing high-spatiotemporal-resolution (30 m and 8-days) NDVI time-series data for the Qinghai-Tibetan Plateau from 2000-2020, 14 (15), 3648, 2022. https://doi.org/10.3390/rs1415....
19.
QINGMING W., SHAN J., JIAQI Z., GUOHUA H., YONG Z., YONGNAN Z., XIN H., HAIHONG L., LIZHEN W., FAN H.J.J.O.H. Effects of vegetation restoration on evapotranspiration water consumption in mountainous areas and assessment of its remaining restoration space, 605, 127259, 2022. https://doi.org/10.1016/j.jhyd....
20.
LUO Z., GUO M., BAI P., LI J.J.R.S. Different vegetation information inputs significantly affect the evapotranspiration simulations of the PT-JPL model, 14 (11), 2573, 2022. https://doi.org/10.3390/rs1411....
21.
NIU Z., HE H., ZHU G., REN X., ZHANG L., ZHANG K.J.S.D. A spatial-temporal continuous dataset of the transpiration to evapotranspiration ratio in China from 1981-2015, 7 (1), 369, 2020. https://doi.org/10.1038/s41597....
22.
PZ S., KV J.J.A.J.O.G. Comparative study of innovative trend analysis technique with Mann-Kendall tests for extreme rainfall, 14, 1, 2021. https://doi.org/10.1007/s12517....
23.
XU B., LI J., LUO Z., WU J., LIU Y., YANG H., PEI X.J.R.S. Analyzing the spatiotemporal vegetation dynamics and their responses to climate change along the Ya'an-Linzhi section of the Sichuan-Tibet Railway, 14 (15), 3584, 2022. https://doi.org/10.3390/rs1415....
24.
TONG X.-Y., XIA G.-S., LU Q., SHEN H., LI S., YOU S., ZHANG L.J.R.S. O.E. Land-cover classification with high-resolution remote sensing images using transferable deep models, 237, 111322, 2020. https://doi.org/10.1016/j.rse.....
25.
ALI S., KHORRAMI B., JEHANZAIB M., TARIQ A., AJMAL M., ARSHAD A., SHAFEEQUE M., DILAWAR A., BASIT I., ZHANG L.J.R.S. Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation System (IBIS), 15 (4), 873, 2023. https://doi.org/10.3390/rs1504....
26.
SHAO R., ZHANG B., SU T., LONG B., CHENG L., XUE Y., YANG W.J.J. O.G.R.A. Estimating the increase in regional evaporative water consumption as a result of vegetation restoration over the Loess Plateau, China, 124 (22), 11783, 2019. https://doi.org/10.1029/2019JD....
27.
KUNDU S., KHARE D., MONDAL A.J.J.O.E.M. Past, present and future land use changes and their impact on water balance, 197, 582, 2017. https://doi.org/10.1016/j.jenv....
28.
TANG Z., ZHOU Z., WANG D., LUO F., BAI J., FU Y.J.E.I. Impact of vegetation restoration on ecosystem services in the Loess plateau, a case study in the Jinghe Watershed, China, 142, 109183, 2022. https://doi.org/10.1016/j.ecol....
29.
LIU M., JIA Y., ZHAO J., SHEN Y., PEI H., ZHANG H., LI Y.J.S.O.T.T.E. Revegetation projects significantly improved ecosystem service values in the agro-pastoral ecotone of northern China in recent 20 years, 788, 147756, 2021. https://doi.org/10.1016/j.scit....
30.
MA N., SZILAGYI J., ZHANG Y., LIU W.J.J.O.G.R.A. Complementary‐relationship‐based modeling of terrestrial evapotranspiration across China during 1982-2012: Validations and spatiotemporal analyses, 124 (8), 4326, 2019. https://doi.org/10.1029/2018JD....
31.
YURUI L., XUANCHANG Z., ZHI C., ZHENGJIA L., ZHI L., YANSUI L.J.S.O.T.T.E. Towards the progress of ecological restoration and economic development in China's Loess Plateau and strategy for more sustainable development, 756, 143676, 2021. https://doi.org/10.1016/j.scit....
32.
BERGHUIJS W.R., LARSEN J.R., VAN EMMERIK T.H., WOODS R.A.J.W.R.R. A global assessment of runoff sensitivity to changes in precipitation, potential evaporation, and other factors, 53 (10), 8475, 2017. https://doi.org/10.1002/2017WR....
33.
KONG D., MIAO C., BORTHWICK A.G., LEI X., LI H.J.E.S., RESEARCH P. Spatiotemporal variations in vegetation cover on the Loess Plateau, China, between 1982 and 2013: Possible causes and potential impacts, 25, 13633, 2018. https://doi.org/10.1007/s11356....
34.
DE HIPT F.O., DIEKKRÜGER B., STEUP G., YIRA Y., HOFFMANN T., RODE M.J.C. Modeling the impact of climate change on water resources and soil erosion in a tropical catchment in Burkina Faso, West Africa, 163, 63, 2018. https://doi.org/10.1016/j.cate....
35.
BAI M., MO X., LIU S., HU S.J.S.O.T.T.E. Contributions of climate change and vegetation greening to evapotranspiration trend in a typical hilly-gully basin on the Loess Plateau, China, 657, 325, 2019. https://doi.org/10.1016/j.scit....
36.
YUE D., ZHOU Y., GUO J., CHAO Z., GUO X.J.C. Relationship between net primary productivity and soil water content in the Shule River Basin, 208, 105770, 2022. https://doi.org/10.1016/j.cate....
37.
LU C., JI W., HOU M., MA T., MAO J.J.A.W.M. Evaluation of efficiency and resilience of agricultural water resources system in the Yellow River Basin, China, 266, 107605, 2022. https://doi.org/10.1016/j.agwa....
38.
DONG S., WANG G., KANG Y., MA Q., WAN S.J.A.W.M. Soil water and salinity dynamics under the improved drip irrigation scheduling for ecological restoration in the saline area of Yellow River basin, 264, 107255, 2022. https://doi.org/10.1016/j.agwa....
39.
ZHAI J., WANG L., LIU Y., WANG C., MAO X.J.S.O.T.T.E. Assessing the effects of China's three-north shelter forest program over 40 years, 857, 159354, 2023. https://doi.org/10.1016/j.scit....
40.
LI M., CHU R., ISLAM A.R.M.T., SHEN S.J.E.S., RESEARCH P. Characteristics of surface evapotranspiration and its response to climate and land use and land cover in the Huai River Basin of eastern China, 28 (1), 683, 2021. https://doi.org/10.1007/s11356....
41.
DING Y., FENG H., ZOU B.J.F. Remote Sensing-Based Estimation on Hydrological Response to Land Use and Cover Change, 13 (11), 1749, 2022. https://doi.org/10.3390/f13111....
| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
