Evidence map›Paper›PMID 31315302›Full record

ArticleInternational journal of environmental research and public health2019

Hydrologic Modeling for Sustainable Water Resources Management in Urbanized Karst Areas.

Hugo Henrique Cardoso de Salis, Adriana Monteiro da Costa, João Herbert Moreira Vianna, Marysol Azeneth Schuler, Annika Künne, Luís Filipe Sanches Fernandes, Fernando António Leal Pacheco

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Identification and Estimation of Solute Storage and Release in Karst Water Systems, South China.International journal of environmental research and public health · 2020
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hugo Henrique Cardoso de SalisDepartamento de Geografia, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6.627 Pampulha, Belo Horizonte 31270-901, Minas Gerais, Brazil.
Adriana Monteiro da CostaDepartamento de Geografia, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6.627 Pampulha, Belo Horizonte 31270-901, Minas Gerais, Brazil.
João Herbert Moreira ViannaEMBRAPA Milho e Sorgo, Rodovia MG-424, Km 45 Caixa Postal: 285 ou 151, Sete Lagoas 35701-970, Minas Gerais, Brazil.ORCID 0000-0002-5872-4816
Marysol Azeneth SchulerEMBRAPA Solos, Rua Jardim Botânico, nº 1.024, Bairro Jardim Botânico, Rio de Janeiro 22460-000, Brazil.
Annika KünneGeographic Information Science Group, Institute of Geography, Friedrich Schiller University Jena, 07749 Jena, Germany.
Luís Filipe Sanches FernandesCentro de Investigação e Tecnologias Agroambientais e Biológicas, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001-801 Vila Real, Portugal.ORCID 0000-0002-9486-7160
Fernando António Leal PachecoCentro de Química de Vila Real, Universidade de Trás-os-Montes e Alto Douro, Ap 1013, 5001-801 Vila Real, Portugal. fpacheco@utad.pt.ORCID 0000-0002-2399-5261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential of karst aquifers as a drinking water resource is substantial because of their large storage capacity gained in the course of carbonate dissolution. Carbonate dissolution and consequent development of preferential paths are also the reasons for the complex behavior of these aquifers as regards surface and underground flow. Hydrological modeling is therefore of paramount importance for an adequate assessment of flow components in catchments shaped on karsts. The cross tabulation of such components with geology, soils, and land use data in Geographic Information Systems helps decision makers to set up sustainable groundwater abstractions and allocate areas for storage of quality surface water, in the context of conjunctive water resources management. In the present study, a hydrologic modeling using the JAMS J2000 software was conducted in a karst area of Jequitiba River basin located near the Sete Lagoas town in the state of Minas Gerais, Brazil. The results revealed a very high surface water component explained by urbanization of Sete Lagoas, which hampers the recharge of 7.9 hm

Indexed as

Conservation of Water ResourcesModels, TheoreticalWater ResourcesBrazilGeological PhenomenaHydrologyUrbanizationWater Supplyhydrologic modelingJAMS J2000karst aquifersland use and occupationrechargesustainabilitywaterproofingwater resources management

Identifiers

PMID31315302
PMCPMC6678514

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.