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Hydrology, Volume 9, Issue 6

June 2022 - 18 articles

Cover Story: The typical techniques to assess the uncertainty of hydrological model simulations (e.g., Monte Carlo simulation) are computationally expensive. In this study, two data-driven methods were employed instead, one based on machine learning techniques and one based on statistical approaches. These methods were tested in two real-world case studies to obtain conclusions regarding their reliability. The anatomization of the algorithmic background of the two methods revealed similarities between them, with the background of the statistical method being more theoretically robust. Nevertheless, the results from the case studies indicated that both methods perform equivalently well. For this reason, both data-driven methods can become a valuable tool for practitioners. View this paper
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Articles (18)

  • Article
  • Open Access
13 Citations
4,614 Views
15 Pages

Monthly Rainfall Prediction at Catchment Level with the Facebook Prophet Model Using Observed and CMIP5 Decadal Data

  • Md Monowar Hossain,
  • A. H. M. Faisal Anwar,
  • Nikhil Garg,
  • Mahesh Prakash and
  • Mohammed Bari

Early prediction of rainfall is important for the planning of agriculture, water infrastructure, and other socio-economic developments. The near-term prediction (e.g., 10 years) of hydrologic data is a recent development in GCM (General Circulation M...

  • Article
  • Open Access
1 Citations
2,609 Views
24 Pages

Importance of Flood Samples for Estimating Sediment and Nutrient Loads in Mediterranean Rivers

  • Olivier Banton,
  • Sylvie St-Pierre,
  • Hélène Giot and
  • Anaïs Giraud

Protecting the quality of coastal water bodies requires the assessment of contaminant discharge brought by rivers. Numerous methods have been proposed for calculating sediment and nutrient loads. The most widely used and generally recommended are the...

  • Article
  • Open Access
1 Citations
2,972 Views
15 Pages

At times, hydrological drought is defined using Q90 or Q95 (90% or 95% flows equaling or exceeding) or even at higher levels, such as Q75 as the cutoff level regardless of their seasonal variation (i.e., truncation at the uniform flow level). In the...

  • Article
  • Open Access
11 Citations
5,307 Views
15 Pages

What Is the Contribution of Urban Trees to Mitigate Pluvial Flooding?

  • Karina Sinaí Medina Camarena,
  • Thea Wübbelmann and
  • Kristian Förster

Hydrological modeling is commonly used in urban areas for drainage design and to estimate pluvial flood hazards in order to mitigate flood risks and damages. In general, modelers choose well-known and proven models, which are tailored to represent th...

  • Article
  • Open Access
5 Citations
4,316 Views
20 Pages

Is Greenhouse Rainwater Harvesting Enough to Satisfy the Water Demand of Indoor Crops? Application to the Bolivian Altiplano

  • Juan-Manuel Sayol,
  • Veriozka Azeñas,
  • Carlos E. Quezada,
  • Isabel Vigo and
  • Jean-Paul Benavides López

As many other regions worldwide, the Bolivian Altiplano has to cope with water scarcity during dry periods, which in turn impacts on crop production as flood irrigation is overwhelmingly extended in the region. Since farming is the main income in the...

  • Communication
  • Open Access
3 Citations
2,889 Views
12 Pages

Radium has been commonly used as a tracer of submarine groundwater discharge to the ocean and embankments, as radium activities are commonly input into box models to calculate a groundwater flux. Similarly, isotopes of radium (Ra224, Ra223, Ra226, Ra...

  • Article
  • Open Access
20 Citations
4,752 Views
18 Pages

Extreme precipitation events can lead to the exceedance of the sewer capacity in urban areas. To mitigate the effects of urban flooding, a model is required that is capable of predicting flood timing and volumes based on precipitation forecasts while...

  • Article
  • Open Access
11 Citations
8,117 Views
19 Pages

Urban irrigation is an essential process in land–atmosphere interactions. It is one of the uncertain parameters of urban hydrology due to various microclimates. This study investigated the microclimate effects and irrigation water requirements...

  • Article
  • Open Access
17 Citations
4,540 Views
14 Pages

Comparison of SWAT and MODIS Evapotranspiration Data for Multiple Timescales

  • Prem B. Parajuli,
  • Avay Risal,
  • Ying Ouyang and
  • Anita Thompson

Evapotranspiration (ET) provides important information for hydrological studies, including estimating plant water requirements which can be derived from remote sensing data or simulated using hydrological models. In this study, ET derived from the Mo...

  • Article
  • Open Access
10 Citations
3,343 Views
13 Pages

Contribution of Non-Rainfall Water Input to Surface Soil Moisture in a Tropical Dry Forest

  • Maria Simas Guerreiro,
  • Eunice Maia de Andrade,
  • Marcos Makeison Moreira de Sousa,
  • José Bandeira Brasil,
  • Jacques Carvalho Ribeiro Filho and
  • Helba Araújo de Queiroz Palácio

Non-rainfall water input to surface soil moisture is essential to ecosystems, especially in dry climates, where a water deficit may persist for several months. Quantifying the impact of water gains by soil moisture at night will help to understand ve...

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Hydrology - ISSN 2306-5338