Yang Liu , Zhaoyang Zeng , Chengguang Lai , Xushu Wu , Xuezhi Tan , Zhaoli Wang , Sijing He , Jie Jiang
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引用次数: 0
Abstract
Study region
The Hanjiang River Basin (HRB) in South China
Study focus
The attribution identification of runoff variation is conducive to formulating climate change response strategies to cope with regional water resources problems. At present, the specific driving mechanisms of seasonal-scale runoff variation require further exploration and research. This study employs five runoff attribution methods, including linear regression, two hydrological models, and two elasticity methods, to quantitatively dissect the influences of climate change and human activities on runoff variation during 1960–2016 in the HRB.
New hydrological insights for the region
The abrupt change detection results indicate that 1972 is the abrupt change point of the runoff series in the HRB. The series is split into two periods: 1960–1972 (baseline period with limited anthropogenic influence) and 1973–2016 (change period). The average results from different methods unequivocally attribute the leading causes of runoff variation to climate change (43.92–135.01 mm), with human activities contributing less (−19.15–36.78 mm). Human activities are observed to partly offset the impact of climate change on runoff variation by approximately 1.3–28.4 %. Results from different methods show similar patterns, with smaller differences in the flood season than the non-flood season. The multi-method approach employed in this study provides valuable insights for policymakers and water resource planners seeking to address the complex interplay of climate change and human activities.
期刊介绍:
Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.