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Multifractal analysis of vegetation regulation on ecohydrological processes in a small watershed. [PDF]

PeerJ
Shi K, Hu B, Xiao Q, Tan S.
europepmc   +1 more source

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Microplastics in urban runoff: Global occurrence and fate

Water Research, 2022
Public concerns on microplastic (MP) pollution and its prevalence in urban runoff have grown exponentially. Huge amounts of MPs are transported from urban environments via surface runoff to different environment compartments, including rivers, lakes ...
Weimin Wu, Deyi Hou, Liuwei Wang
exaly   +2 more sources

Microplastic emission characteristics of stormwater runoff in an urban area: Intra-event variability and influencing factors.

Science of the Total Environment, 2023
Stormwater runoff is considered a major pathway for land-based microplastic transportation to aquatic environments. By applying time-weighted stormwater sampling at stormwater outlets from industrial and residential catchments, we investigated the ...
Youna Cho, W. Shim, Yong-Ha Sung, G. Han, Mi Jang, Sang-Hee Hong   +5 more
semanticscholar   +1 more source

Effects of grass vegetation coverage and position on runoff and sediment yields on the slope of Loess Plateau, China

Agricultural Water Management, 2022
Soil erosion poses serious challenge to the sustainable utilization of soil and water resources worldwide. Vegetation restoration can sufficiently improve the environment and reduce soil erosion.
P. Shi, Peng Li, Zhan-bin Li, Jingmei Sun, D. Wang, Zhiqiang Min   +5 more
semanticscholar   +1 more source

Differences in extremes and uncertainties in future runoff simulations using SWAT and LSTM for SSP scenarios.

Science of the Total Environment, 2022
This study compared the performance of Long Short-Term Memory networks (LSTM) and Soil Water Assessment Tool (SWAT) in simulating observed runoff and projecting future runoff using 11 CMIP6 GCMs.
Y. Song, E. Chung, S. Shahid
semanticscholar   +1 more source

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

Water Resources Research, 2020
Rainfall‐runoff modeling is a complex nonlinear time series problem. While there is still room for improvement, researchers have been developing physical and machine learning models for decades to predict runoff using rainfall data sets.
Zhongrun Xiang, June Yan, I. Demir
semanticscholar   +1 more source

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

, 2020
Runoff forecasting is an important approach for flood mitigation. Many machine learning models have been proposed for runoff forecasting in recent years.
Shuai Gao, Yuefei Huang, Shuo Zhang, Jingcheng Han, Guangqian Wang, Meixin Zhang, Qingsheng Lin   +6 more
semanticscholar   +1 more source

Occurrence of microplastics and phthalate esters in urban runoff: A focus on the Persian Gulf coastline.

Science of the Total Environment, 2021
Urban runoff seems an obvious pathway for the transfer of microplastics (MPs) and phthalate acid esters (PAEs) from land-based sources to the marine environment; an issue that still lacks attention.
Shamim Hajiouni, A. Mohammadi, B. Ramavandi, H. Arfaeinia, G. De-la-Torre, Agnes Tekle-Röttering, S. Dobaradaran   +6 more
semanticscholar   +1 more source

Groundwater-runoff relationships

CATENA, 1980
Summary Stable environmental isotope ( 2 HH, 8 O)O) techniques were applied to an Alpine watershed of 18.7 km 2 and 670–1801 m a.s.l. From this example some insights into the runoff generation in a natural hydrologic system are developed. Isotopic hydrograph separations into direct and indirect runoff fractions, based on these techniques, show ...
Herrmann, A., Stichler, W.
openaire   +2 more sources

Runoff Grouping for Detection of Change in Runoff

Journal of the Irrigation and Drainage Division, 1971
The purpose of this study was the determination of suitable watersheds or combinations of watersheds for precipitation management programs in the upper Colorado River Basin in general and more particularly for the San Juan Mountains. The study shows that the introduction of optimal weight factors in the linear combination of runoff from several basins ...
Hiroshi Nakamichi, Hubert J. Morel-Seytoux   +1 more
openaire   +1 more source