A new complexity-based three-stage method to comprehensively quantify positive/negative contribution rates of climate change and human activities to changes in runoff in the upper Yellow River
| Autor: | Xungui Li, Zhenmin Niu, Xiaoyan Liang, Xianbao Su, Nai’ang Wang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Hydrology
geography geography.geographical_feature_category Watershed Renewable Energy Sustainability and the Environment 020209 energy Strategy and Management 05 social sciences Drainage basin Climate change 02 engineering and technology Structural basin Industrial and Manufacturing Engineering Sample entropy 050501 criminology 0202 electrical engineering electronic engineering information engineering Environmental science Precipitation Surface runoff Baseline (configuration management) 0505 law General Environmental Science |
| Zdroj: | Journal of Cleaner Production. 287:125017 |
| ISSN: | 0959-6526 |
| DOI: | 10.1016/j.jclepro.2020.125017 |
| Popis: | The upper reaches of the Yellow River (URYR) comprise the main water-producing zone of the Yellow River Basin. Quantifying the contribution rates of climate change and human activities (CCHAs) to the changes in runoff in the URYR is critical for formulating rational water resource management strategies in the entire basin. The main objective of this study is to combine the advantages of flexible sample entropy and multiscale entropy to propose a new three-stage method (TSM) to quantify the contribution rates of CCHAs to changes in runoff in the URYR above the city of Lanzhou during 1956–2015. The results show that climate change is the dominant factor affecting the changes in runoff in the study area over the period of study. However, compared with the baseline period (BP; 1956–1986), the variation period (VP; 1987–2015) experienced notably different impacts of CCHAs on the runoff changes. Human activities constituted the dominant factor impacting the changes in runoff in the Huangshui River and the lower section of the URYR (average contribution rate of 70.9%). Meanwhile, climate change was the dominant factor affecting changes in runoff in other regions of the URYR (average contribution rate of 91.8%). Declining precipitation, increasing temperature and evaporation, changing watershed surfaces, the construction of reservoirs and water diversion projects, and increasing human water consumption have resulted in varying degrees of runoff complexity. The novelty and uniqueness of this study can be ascribed to the TSM that (1) considers the impacts of human activities on changes in runoff during the BP and combines the advantages of single time-scale and multiscale entropy for the first time; and (2) uses positive and negative contribution rates to represent the increase and decrease in runoff complexity, respectively. The method exhibits appreciable performance and applicability in the URYR and other watersheds to effectively calculate the contribution rates of the CCHAs to changes in runoff. |
| Databáze: | OpenAIRE |
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