You are currently viewing a new version of our website. To view the old version click .

Hydrology, Volume 9, Issue 1

January 2022 - 16 articles

Cover Story: This study investigates the use of a machine learning (ML) model as an independent tool to assess the performance of hydrological models. The ML model is based on recurrent neural networks and has a simple topology, so it can be easily implemented (in some ML toolboxes without writing a single line of code). The ML model processes the outputs and inputs of a hydrological model and concludes on whether the hydrological model error is uncorrelated, homoscedastic, and zero-inflated. If so, the assessed hydrological model successfully captures all information in the available data. Thus, the hydrologist can be confident that the hydrological model has achieved the best feasible performance. If this is not the case, they can redesign the hydrological model in order to improve its capacity and repeat the assessment procedure. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (16)

  • Article
  • Open Access
5 Citations
3,732 Views
12 Pages

17 January 2022

Hypoxia in Lake Biwa, Japan remains a serious water environmental problem. One of the causes of hypoxia in the lake is the formation of a thermocline, which is largely affected by meteorological factors, such as (1) air temperature, (2) wind speed, a...

  • Case Report
  • Open Access
16 Citations
4,018 Views
10 Pages

Removal of Arsenic in Groundwater Using Fe(III) Oxyhydroxide Coated Sand: A Case Study in Mekong Delta, Vietnam

  • Lavane Kim,
  • Nguyen Truong Thanh,
  • Pham Van Toan,
  • Huynh Vuong Thu Minh and
  • Pankaj Kumar

13 January 2022

Because of its threat to the quality of freshwater resources and human health, arsenic (As) pollution is important to scientific communities and policymakers around the world. The Mekong Delta, Vietnam, is one hotspot of As pollution. Its risk assess...

  • Article
  • Open Access
8 Citations
3,673 Views
14 Pages

12 January 2022

Managed Aquifer Recharge (MAR), the intentional recharge of aquifers, has surged worldwide in the last 60 years as one of the options to preserve and increase water resources availability. However, estimating the extent of the area impacted by the re...

  • Communication
  • Open Access
16 Citations
831,543 Views
26 Pages

12 January 2022

A significant constraint in water resource development in developing countries is the lack of accurate river discharge data. Stage–discharge measurements are infrequent, and rating curves are not updated after major storms. Therefore, the objec...

  • Article
  • Open Access
27 Citations
5,183 Views
26 Pages

Modeling the Impact of Climate and Land Use/Land Cover Change on Water Availability in an Inland Valley Catchment in Burkina Faso

  • Mouhamed Idrissou,
  • Bernd Diekkrüger,
  • Bernhard Tischbein,
  • Felix Op de Hipt,
  • Kristian Näschen,
  • Thomas Poméon,
  • Yacouba Yira and
  • Boubacar Ibrahim

11 January 2022

Water scarcity for smallholder farming in West Africa has led to the shift of cultivation from uplands to inland valleys. This study investigates the impacts of climate and land use/land cover (LULC) change on water resources in an intensively instru...

  • Article
  • Open Access
3 Citations
2,808 Views
13 Pages

10 January 2022

Volunteered Geographic Information, data contributed by community scientists, is an increasingly popular tool to collect scientific data, involve the community in scientific research, and provide information and education about a prominent issue. Joh...

  • Article
  • Open Access
19 Citations
8,027 Views
36 Pages

Impacts of Climate Change and Variability on Precipitation and Maximum Flows in Devil’s Creek, Tacna, Peru

  • Edwin Pino-Vargas,
  • Eduardo Chávarri-Velarde,
  • Eusebio Ingol-Blanco,
  • Fabricio Mejía,
  • Ana Cruz and
  • Alissa Vera

Global projections of climate change indicate negative impacts on hydrological systems, with significant changes in precipitation and temperature in many parts of the world. As a result, floods and droughts are expected. This article discusses the po...

  • Article
  • Open Access
16 Citations
3,396 Views
15 Pages

Potential of a classic adaptive neuro-fuzzy inference system (ANFIS) was evaluated in the current study for estimating the daily dew point temperature (Tdew). The study area consists of two stations located in Iran, namely the Rasht and Urmia. The da...

  • Article
  • Open Access
7 Citations
3,811 Views
16 Pages

30 December 2021

The Adige River Basin (ARB) provides a vital water supply source for varying demands including agriculture (wine production), energy (hydropower) and municipal water supply. Given the importance of this river system, information about past (paleo) dr...

  • Article
  • Open Access
5 Citations
3,702 Views
16 Pages

Land-Based Impact of Nutrient Loads and Eutrophication on an Ancient Mediterranean Natural Lake

  • Bachisio Mario Padedda,
  • Antonella Lugliè,
  • Giuseppina Grazia Lai,
  • Filippo Giadrossich,
  • Cecilia Teodora Satta and
  • Silvia Pulina

29 December 2021

In water management plans, all human impacts on the aquatic environment are quantified and evaluated. For this purpose, lake-related assessment methods of watersheds are needed. The aim of this study is to present the environmental condition along th...

of 2

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Hydrology - ISSN 2306-5338Creative Common CC BY license