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Urbanization significantly alters land use, impacting local hydrological processes in rapidly developing areas like the Tehran watershed in Iran. This study examined how transitions from agricultural and natural landscapes to urban environments affect daily rainfall patterns, using multifractal spectrum diagrams, correlation dimensions, Lyapunov exponents, and approximate entropy. Certain stations demonstrated considerable changes in approximate entropy, with the maximum standard deviation increasing by as much as 88.61 units, indicating a rise in the unpredictability of rainfall patterns, likely due to environmental alterations driven by urban expansion. Furthermore, several stations experienced a notable increase in the Lyapunov exponent, with the maximum standard deviation escalating by 56.82 units, suggesting a trend towards increased chaos in rainfall dynamics, which could elevate the risk of flooding. Conversely, lower correlation dimensions recorded at some stations implied more stable hydrological responses, reflecting resilience to extreme weather events, thus emphasizing the intricate relationship between land use and hydrological systems. Overall, stations located closer to urban centers exhibited an increase in both the frequency and intensity of daily rainfall events. This research provides valuable insights into the interplay between land use changes and hydrological processes, underscoring the importance of sustainable urban planning and effective water resource management. This research offers critical insights for flood risk management and urban policy in Tehran, informing adaptive drainage systems, green infrastructure, and zoning regulations to mitigate flood risks and enhance water sustainability in urbanizing regions.
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http://dx.doi.org/10.1007/s11356-025-36793-7 | DOI Listing |
Sci Total Environ
September 2025
Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India. Electronic address:
Extreme rainfall during the Indian Summer Monsoon (ISM) accounts for approximately 27 % of the total seasonal rainfall. Most of this moisture is transported from the Indian Ocean. Amid ongoing warming of the Indian Ocean, 2023 stood out as one of the warmest monsoon years on record.
View Article and Find Full Text PDFData Brief
October 2025
Department of Geophysics and Meteorology, Kampus IPB Darmaga, IPB University, Bogor, 16680, Indonesia.
Rainfall data availability is a basis of climate analysis and application, but its spatial distribution based on observed rainfall at local scale remains a research challenge. A spatially distributed rainfall at a finer resolution is the foundation for coping uncertain climate change and water resource planning and management. Here, we established a daily grid dataset for observed rainfall of West Java, Indonesia.
View Article and Find Full Text PDFEnviron Int
August 2025
School of Resources and Environment Engineering, Wuhan University of Technology, Wuhan 430070, China. Electronic address:
Atmospheric NO remains one of the primary pollutant gases in urban areas. However, current techniques such as ground-based measurements, remote sensing, and atmospheric chemistry models have persistently faced challenges in monitoring sub-daily NO concentrations at high spatial resolution. Mobile phone signaling data holds significant potential for characterizing human activity intensity, offering new opportunities to track near-surface NO concentrations with refined spatiotemporal precision.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Urban and Environmental Disaster Prevention Engineering, Kangwon National University, Samcheok-si, 25913, Republic of Korea.
Despite the increasing frequency of extreme droughts caused by climate change, which prompts a reevaluation of the need for low-flow simulation, there is a lack of evaluation of low-flow estimation using GR5J and GR6J models in Korean basins compared to studies on GR4J. This study assesses the applicability of the GR5J and GR6J models in South Korean basins. It aims to determine how to calibrate these models effectively in South Korea.
View Article and Find Full Text PDFWater Sci Technol
August 2025
Xiamen Urban Planning & Design Institute Co. Ltd., Xiamen 361012, China.
In urban stormwater source control design, the current method statistically obtains the design target-daily rainfall relationship and uses daily rainfall as the design storm to calculate the size of source control. Since it lacks the rainfall duration needed for sizing calculations under the design storm, it cannot ensure that the design solution achieves the design target. To overcome this problem, this study proposes a statistical method to obtain an hour-level design storm.
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