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Hydrology, Volume 10, Issue 1

January 2023 - 24 articles

Cover Story: Soil moisture greatly affects the interactions between the earth's surface and the atmosphere, both from a meteorological and climatic perspective, with a significant impact on the processes that control the division of precipitation into surface runoff, subsurface flow and infiltration. This impact gives soil moisture prediction a key role in flood risk management and landslide risk assessment. Furthermore, predicting soil moisture content is essential for predicting the onset of drought and planning irrigation, as soil moisture is a critical limiting factor for crop growth and can have a massive impact on agriculture. On this basis, this study shows how machine learning algorithms represent a powerful tool for the short-term prediction of soil water content and how the accuracy of predictions can be improved by properly combining algorithms. View this paper
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Articles (24)

  • Article
  • Open Access
8 Citations
3,626 Views
16 Pages

16 January 2023

This paper presents a comparative analysis of two hydrological models in the Storm Water Management Model (SWMM) software, namely, the non-linear reservoir (N-LR) and the unit hydrograph (UH), on the urban catchment of Cascina Scala, Pavia in Italy....

  • Article
  • Open Access
2 Citations
4,324 Views
19 Pages

16 January 2023

The mobility of a metal in mining-impacted sediments is determined by the environmental conditions that influence the metal’s oxidation state and bonding environment. Coeur d’Alene Lake, USA, has been impacted by legacy mining practices t...

  • Article
  • Open Access
4 Citations
4,097 Views
15 Pages

Assessment of a Smartphone App for Open Channel Flow Measurement in Data Scarce Irrigation Schemes

  • Menwagaw T. Damtie,
  • Marshet B. Jumber,
  • Fasikaw A. Zimale and
  • Seifu A. Tilahun

15 January 2023

Accurate water flow measurement ensures proper irrigation water management by allocating the desired amount of water to the irrigation fields. The present study evaluated whether the non-intrusive smartphone application “DischargeApp” cou...

  • Article
  • Open Access
5 Citations
5,373 Views
14 Pages

14 January 2023

A method was developed to integrate the truncated power-law distribution of solid volumetric fraction into the widely used Kozeny–Carman (KC)-type equations to assess the potential uncertainty of permeability. The focus was on the heterogeneity...

  • Article
  • Open Access
13 Citations
3,600 Views
24 Pages

11 January 2023

Point and nonpoint wastewater sources have a detrimental, negative effect on agriculture, soil, surface, and groundwater supplies. In this research, a wastewater treatment system made up of a sedimentation tank, a horizontal subsurface flow construct...

  • Technical Note
  • Open Access
3 Citations
3,396 Views
20 Pages

Establishing and Operating (Pilot Phase) a Telemetric Streamflow Monitoring Network in Greece

  • Katerina Mazi,
  • Antonis D. Koussis,
  • Spyridon Lykoudis,
  • Basil E. Psiloglou,
  • Georgios Vitantzakis,
  • Nikolaos Kappos,
  • Dimitrios Katsanos,
  • Evangelos Rozos,
  • Ioannis Koletsis and
  • Theodora Kopania

10 January 2023

This paper describes HYDRONET, a telemetry-based prototype of a streamflow monitoring network in the Greek territory, where such data are sparse. HYDRONET provides free and near-real-time online access to data. Instead of commercially available stati...

  • Feature Paper
  • Article
  • Open Access
16 Citations
4,288 Views
16 Pages

10 January 2023

Reducing uncertainty in design flood estimates is an essential part of flood risk planning and management. This study presents results from flood frequency estimates and associated uncertainties for five commonly used probability distribution functio...

  • Article
  • Open Access
13 Citations
3,894 Views
18 Pages

Numerous algorithms have been developed to automate the process of delineating water surface maps for flood monitoring and mitigation purposes by using multiple sources such as satellite sensors and digital elevation model (DEM) data. To better under...

  • Article
  • Open Access
64 Citations
7,506 Views
15 Pages

Environmental Risk Assessment of Wetland Ecosystems Using Bayesian Belief Networks

  • Bahram Malekmohammadi,
  • Cintia Bertacchi Uvo,
  • Negar Tayebzadeh Moghadam,
  • Roohollah Noori and
  • Soroush Abolfathi

Wetlands are valuable natural capital and sensitive ecosystems facing significant risks from anthropogenic and climatic stressors. An assessment of the environmental risk levels for wetlands’ dynamic ecosystems can provide a better understandin...

  • Feature Paper
  • Article
  • Open Access
5 Citations
4,190 Views
19 Pages

This study configures the Weather Research and Forecasting (WRF) model with the updated urban fraction for optimal rainfall simulation over Kampala, Uganda. The urban parameter values associated with urban fractions are adjusted based on literature r...

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Hydrology - ISSN 2306-5338