Floods clustered in episodes are the most prevalent natural disaster worldwide, causing substantial economic and human losses. Although these events are often linked to time-periods of extreme rainstorms and unique atmospheric circulation patterns, the river basin characteristics affected by anthropogenic land use changes could exert a strong influence. However, the way and extent of how land use changes across different time scales affect flooding periods are still unclear, especially considering the historical land use changes. This study uses the Landlab landscape evolution model, coupled with an evapotranspiration model, to investigate the forcing factors for the paleo-flooding trends in the Wei River catchment over the last 5000 years. The results indicate that the flooding period from 4400 to 4000 BP was caused by an increase of 28 % in antecedent moisture content as well as a decrease of 28 % in its spatial variability, which are primarily due to climate change, and that the contribution of land-use change is less than 5 %. The increases of about 14 % and 8 % in main channel sedimentation rate play a leading role in flood generation during the time periods from 3400 to 2800 BP and 2000-1400 BP, respectively. These two periods of increased flooding are primarily caused by the erosional effects of increasing anthropogenic land use, whose contributions range from 33 % to 64 %. Furthermore, based on our modelling results, we suggest that the downstream propagation of the main flooding locations, from the Wei River to the lower reaches of the Yellow River, can be explained by the downstream migrating sediment wave. In conclusion, our simulation results give new insights into the causes of Holocene flooding periods in the middle Yellow River from the perspective of dynamic changes in catchment characteristics, which is helpful to improve regional flood risk management under future climate change and anthropogenic activities.
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http://dx.doi.org/10.1016/j.scitotenv.2024.176431 | DOI Listing |
Sci Data
December 2024
Centre for Climate Change Research, Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India.
High-frequency precipitation (solid/liquid) isotope datasets are useful for identification of moisture sources and various dynamical and thermodynamical processes controlling precipitation formation. Here, we report three-year (2019-2021) daily rain isotope (both oxygen, δO hereafter, and hydrogen, δH, hereafter) datasets from three unique locations in India during the Indian Summer Monsoon (ISM). The locations are- (1) Port Blair- an island situated in the Bay of Bengal (BoB); (2) Mahabaleshwar, located at the crest of the Western Ghats Mountain; and (3) Tezpur, in northeast India, situated close to a dense forest.
View Article and Find Full Text PDFEnviron Toxicol Pharmacol
December 2024
São Paulo State University (UNESP), Medical School, Division of Anesthesiology, GENOTOX Lab., Botucatu, São Paulo, Brazil. Electronic address:
Waste anesthetic gases (WAGs) are trace-concentration inhaled anesthetics that exist worldwide because they are released into the ambient air of operating rooms (ORs) and post-anesthesia care units. WAGs cause indoor contamination, especially in ORs lacking proper scavenging systems, and occupational exposure, while promoting climate change through greenhouse gas/ozone-depleting effects. Despite these controversial features, WAGs continue to pose occupational health hazards.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, 08826, Republic of Korea; Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea. Electronic address:
At-risk conifer stands growing in hot, arid conditions at low elevations may contain the most climate change-adapted seeds needed for sustainable forestry. This study used a triage framework to identify high-priority survey areas for Pinus ponderosa (Pipo) within a large region, by intersecting an updated range map with a map of seed zones and elevation bands (SZEBs). The framework assesses place-based climate change and potential wildfire risks by rank-order across 740 potential collection units.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Geoscience and Technology, Southwest Petroleum University, Chengdu, 610500, China. Electronic address:
Karstification can reduce the CO concentration in the atmosphere/soil. Accurate estimation of karst carbon sinks is crucial for the study of global climate change. In this study, the Lijiang River Basin was taken as the research area.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Design, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address:
This study delves into the multi-scale temporal and spatial variations of soil heat flux (G) within riparian zones and its correlation with net radiation (Rn) across six riparian woodlands in Shanghai, each characterized by distinct vegetation types. The objective is to assess the complex interrelations between G and Rn, and how these relationships are influenced by varying vegetation and seasons. Over the course of a year, data on G and Rn is collected to investigate their dynamics.
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