Literature DB >> 28915455

Estimation of water consumption for ecosystems based on Vegetation Interfaces Processes Model: A case study of the Aksu River Basin, Northwest China.

Peng Yang1, Jun Xia2, Chesheng Zhan3, Xingguo Mo3, Xuejuan Chen1, Shi Hu3, Jie Chen4.   

Abstract

Based on the Moderate Resolution Imaging Spectroradiometer (MODIS) - Normalized Difference Vegetation Index (NDVI), the Vegetation Interfaces Processes (VIP) model simulated the spatio-temporal patterns of actual evapotranspiration (ET) and the water consumption of different ecosystems in the Aksu River Basin, Northwest China between 2000 and 2015. The results revealed that: (1) the applicability of the VIP model was confirmed, with good agreement (R2=0.79, P<0.05) between the VIP-ET and water balance model (WB)-ET in the Aksu River Basin; (2)arable land showed the highest annual actual ET per unit pixel (362.4mm/pixel), followed by forest (159.6mm/pixel), and grass land (142.8mm/pixel); (3) water consumption for arable, forest, and grass land were determined as 19.45×108, 1.94×108, and 28×108m3/a, respectively; and (4) there was a significant trend (P<0.05) of increasing water consumption of 0.379×108m3/a in the artificial ecosystem, but there was no significant trend in the time series of the natural ecosystem. Overall, the study demonstrated that the VIP model is able to supply important information for water resource management at the catchment-scale.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Aksu River Basin; Land use cover change; MODIS; Multi-ecosystems; Water balance

Mesh:

Year:  2017        PMID: 28915455     DOI: 10.1016/j.scitotenv.2017.09.045

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Monitoring and predicting land use/cover changes in the Aksu-Tarim River Basin, Xinjiang-China (1990-2030).

Authors:  Attia M El-Tantawi; Anming Bao; Cun Chang; Ying Liu
Journal:  Environ Monit Assess       Date:  2019-07-04       Impact factor: 2.513

2.  Spatiotemporal variations of agricultural water footprint and its economic benefits in Xinjiang, northwestern China.

Authors:  Yinbo Li; Mingjiang Deng
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

  2 in total

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