Integrating the Budyko framework with the emerging hot spot analysis in local land use planning for regulating surface evapotranspiration ratio.

Autor: Fan PY; Department of Geography, Hong Kong Baptist University, Hong Kong S. A. R., China. Electronic address: 18482392@life.hkbu.edu.hk., Chun KP; Department of Geography, Hong Kong Baptist University, Hong Kong S. A. R., China; Department of Geography and Environmental Management, University of the West of England, Bristol, UK. Electronic address: kwok.chun@uwe.ac.uk., Mijic A; Department of Civil and Environmental Engineering, Imperial College London, London, UK. Electronic address: ana.mijic@imperial.ac.uk., Tan ML; GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia. Electronic address: mouleong@usm.my., Yetemen O; Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Turkey. Electronic address: yetemen@itu.edu.tr.
Jazyk: angličtina
Zdroj: Journal of environmental management [J Environ Manage] 2022 Aug 15; Vol. 316, pp. 115232. Date of Electronic Publication: 2022 May 13.
DOI: 10.1016/j.jenvman.2022.115232
Abstrakt: Land use planning regulates surface hydrological processes by adjusting land properties with varied evapotranspiration ratios. However, a dearth of empirical spatial information hampers the regulation of place-specific hydrological processes. Therefore, this study proposed a Local Land Use Planning framework for EvapoTranspiration Ratio regulations (ETR-LLUP), which was tested for the developments of spatially-varied land use strategies in the Dongjiang River Basin (DRB) in Southern China. With the first attempt at integrating the Emerging Hot Spots Analysis (EHSA) with the Budyko framework, the spatiotemporal trends of evapotranspiration ratios based on evaporative index and dryness index, from 1992 to 2018, were illustrated. Then, representative land-cover types in each sub-basin were defined using Geographically Weighted Principal Component Analysis, in two wet years (1998 and 2016) and three dry years (2004, 2009, and 2018), which in turn were identified using the Standard Precipitation Index. Finally, Geographically Weighted Regressions (GWRs) were used to detect spatially-varied relationships between land-cover proportions and evaporative index in both dry and wet climates. Results showed that the DRB was consistently a water-limited region from 1992 to 2018, and the situation was getting worse. We also identified the upper DRB as hotspots for hydrological management. Forests and croplands experienced increasingly water stress compared to other vegetation types. More importantly, the spatial results of GWR models enabled us to adjust basin land use by 1) expanding and contracting a combination of 'mosaic natural vegetation' and 'broadleaved deciduous trees' in the western and eastern parts of the basin, respectively; and 2) increasing 'broadleaved evergreen trees' in the upstream parts of the basin. These spatially-varied land use strategies based on the ETR-LLUP framework allow for place-specific hydrological management during both dry and wet climates.
(Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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