<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>DSpace Communidade:</title>
    <link>http://repositorio.ufc.br/handle/riufc/460</link>
    <description />
    <pubDate>Fri, 10 Apr 2026 12:43:48 GMT</pubDate>
    <dc:date>2026-04-10T12:43:48Z</dc:date>
    <item>
      <title>Propostas de modelos para dimensionamento de dispositivos de controle de percolação interna - abraços - em barragens de terra por meio de técnicas de apredizado de máquina</title>
      <link>http://repositorio.ufc.br/handle/riufc/85449</link>
      <description>Título: Propostas de modelos para dimensionamento de dispositivos de controle de percolação interna - abraços - em barragens de terra por meio de técnicas de apredizado de máquina
Autor(es): Sousa, Ana Cinthya Mariano de
Abstract: This research develops predictive models aimed at the optimized design of internal seepage&#xD;
control devices in earth dams, commonly referred to as wraparound, which play a key role in&#xD;
mitigating erosion processes along the soil–structure interface. To achieve this, an integrated&#xD;
approach was adopted, combining three-dimensional computational simulations based on the&#xD;
Finite Element Method (FEM) with machine learning techniques, enabling an in-depth analysis&#xD;
of hydraulic flow behavior across a wide range of geotechnical, hydraulic, and geometric&#xD;
conditions. The numerical modeling accounted for a series of parametric variations, including&#xD;
different values of hydraulic conductivity, degrees of saturation, foundation characteristics,&#xD;
and diverse geometries of the control devices. As a result, a robust and representative dataset&#xD;
was generated and used to train various machine learning algorithms, notably Artificial Neural&#xD;
Networks, Decision Trees, Random Forests, and the XGBoost model. Among the models&#xD;
evaluated, XGBoost exhibited the most satisfactory performance, achieving a coefficient of&#xD;
determination (R2) of 96.58% for the training dataset and 90.58% for the test dataset, along with&#xD;
low error metrics (Mean Absolute Error – MAE = 7.03; Root Mean Square Error – RMSE =&#xD;
16.38; Mean Absolute Percentage Error – MAPE = 13.7%), demonstrating the model’s strong&#xD;
predictive capability in estimating the optimal device length. The use of these models enabled&#xD;
the identification of the most effective “abraço” configurations, leading to a reduction in critical&#xD;
hydraulic gradients and, consequently, the prevention of internal erosion mechanisms. Therefore,&#xD;
the findings provide valuable technical insights for improving earth dam design, particularly&#xD;
in contexts with limited experimental data, establishing a reliable, efficient, and cost-effective&#xD;
solution within geotechnical engineering applied to the safety of hydraulic structures.
Tipo: Dissertação</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85449</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Sistemas hidrológicos em transformação: impactos das mudanças antrópicas na dinâmica hidrológica da bacia hidrográfica do Rio São Francisco, Brasil</title>
      <link>http://repositorio.ufc.br/handle/riufc/85408</link>
      <description>Título: Sistemas hidrológicos em transformação: impactos das mudanças antrópicas na dinâmica hidrológica da bacia hidrográfica do Rio São Francisco, Brasil
Autor(es): Lima, Carlos Eduardo Sousa
Abstract: In the Anthropocene, the increasing human influence on the hydrological cycle of watersheds&#xD;
has made their water availability and response patterns to climate extremes – both wet and dry&#xD;
– depend on both natural and anthropogenic factors. In this context, this thesis evaluated the&#xD;
impact of anthropogenic changes on the hydrological dynamics of watersheds. As a case study,&#xD;
the São Francisco River Watershed (BHSF) and the Grande River Basin (GRB), an important&#xD;
sub-basin of the BHSF, were used. Three different approaches were employed for this proposed&#xD;
assessment: the first applied more generally to the BHSF, while the second and third were&#xD;
applied more specifically to the GRB. In the first approach, the concept of climate elasticity of&#xD;
streamflow was applied to 10 sub-basins of the BHSF, enabling an evaluation of streamflow&#xD;
sensitivity to climate variations and the decomposition of total streamflow variation into&#xD;
climatic and anthropogenic components. In the second, a new methodology for assessing the&#xD;
impact of human activities on the development of hydrological droughts was proposed: the&#xD;
Drought Roulette Analysis (DRA). In the third, the watershed was interpreted as a complex&#xD;
hydrological system with multiple equilibrium states that switch between them in response to&#xD;
climatic and anthropogenic forcing. The results from these approaches led to the conclusion&#xD;
that anthropogenic activities have decreased water availability, increased the sensitivity of&#xD;
streamflow to climate variations, and slowed hydrological recovery after drought events, with&#xD;
streamflow deviations persisting even after precipitation levels are restored. Equally important,&#xD;
&#xD;
the results from the third approach showed that a watershed can naturally exhibit a non-&#xD;
stationary hydrological regime characterized by multiple hydrological states and a variable&#xD;
&#xD;
rainfall-runoff relationship; anthropogenic activities, in turn, modulate this non-stationarity,&#xD;
accentuating the asymmetry in transitions between these states. Additionally, incorporating&#xD;
information on hydrological states significantly improved the hydrological modeling process,&#xD;
providing a more dynamic representation of the variable rainfall-runoff relationship. Overall,&#xD;
these findings point to a dynamic risk to water availability and hydrological extremes in the&#xD;
BHSF, and more specifically in the Grande River watershed. This dynamic risk arises from the&#xD;
non-stationarity of the hydrological regime, which, although it can be caused by natural factors&#xD;
(climate variability), is strongly linked to human interventions induced in these watersheds.&#xD;
These interventions, in addition to potentially generating non-stationarity, modify transitions&#xD;
between hydrological states and the patterns of drought evolution. The aforementioned dynamic&#xD;
risk introduces significant uncertainty into the water resource management and planning&#xD;
process when not properly considered. The capacity of anthropogenic activities to modulate the&#xD;
non-stationarity of the hydrological regime, as well as the observed hydrological impacts of these activities, underscores the need for integrated management that considers both natural and&#xD;
human factors, along with their interactions and compensatory effects.
Tipo: Tese</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85408</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Avaliação da produção de biometano em biodigestores com sobras e restos de alimentos por meio de recirculação e inoculação de consórcio microbiológico</title>
      <link>http://repositorio.ufc.br/handle/riufc/85371</link>
      <description>Título: Avaliação da produção de biometano em biodigestores com sobras e restos de alimentos por meio de recirculação e inoculação de consórcio microbiológico
Autor(es): Souza, Debora Nery de
Abstract: The increasing energy demand, the growing volume of waste, the challenges in its proper&#xD;
management, and consequently its inadequate final disposal have necessitated the search for&#xD;
sustainable solutions. Accordingly, this study aimed to evaluate the generation of biogas and&#xD;
biomethane produced through anaerobic digestion of food waste in reactors with different&#xD;
recirculation configurations, varying organic loads, and utilizing a hydrolytic microbial&#xD;
consortium. In an initial phase, two 1.3 m3 reactors were operated semi-continuously: reactor&#xD;
01 with recirculation at four bottom points and reactor 02 with a single bottom point.&#xD;
Subsequent phases assessed the effect of varying organic load (1% and 5% volatile solids –&#xD;
VS) and bioaugmentation with a hydrolytic microbial consortium (Bacillus subtilis&#xD;
[KJ870046.1] and Alcaligenes faecalis [CP013119.1]). Subsequently, the potential use of the&#xD;
digestate as biofertilizer was evaluated. Various physicochemical parameters were monitored&#xD;
over 90 days. Reactor 01 demonstrated higher efficiency in organic matter degradation, with&#xD;
lower solid concentrations and 60% volatile solids (VS) removal, compared to 8% in reactor&#xD;
02, in addition to producing more biogas (35.80 Nm3) and biomethane (67.17%) than reactor&#xD;
02 (26.73 Nm3 biogas and 64.57% biomethane). In the subsequent phases, the microbiological&#xD;
reactor with 1% VS (RM1) and the control reactor with 5% VS (RC5) showed higher&#xD;
efficiency in organic matter degradation with 71% VS removal, compared to 50% for RC1&#xD;
and 49% for RM5. However, the microbiological reactors produced higher accumulated&#xD;
biogas volumes (22.74 Nm3 for RM5 and 21.22 Nm3 for RM1) relative to the control reactors&#xD;
(17.33 Nm3 for RC5 and 13.37 Nm3 for RC1). In evaluating the potential use of digestates as&#xD;
biofertilizers, the biodigesters with four-point bottom recirculation (R1 and RM1) exhibited&#xD;
greater stabilization than the digestate from the biodigester with single-point bottom&#xD;
recirculation (R2), displaying lower C/N ratios (0.79 and 1.25 for R1 and RM1, respectively,&#xD;
versus 1.63 for R2) and lower sodium concentrations (0.26 and 0.21 g/Kg for R1 and RM1,&#xD;
respectively, versus 0.30 g/Kg for R2). All evaluated digestates presented micronutrient&#xD;
concentrations below the maximum limits established for biofertilizers and macronutrient&#xD;
values below the reference values stipulated by Brazilian and European legislation. It is&#xD;
&#xD;
concluded that four-point bottom pumping recirculation proved more efficient than single-&#xD;
point recirculation, that the bioaugmentation strategy with the hydrolytic microbial&#xD;
&#xD;
consortium was effective for both biogas and biomethane production and organic matter&#xD;
degradation in the biodigesters, and that, generally, all digestates showed potential for use as complementary mineral fertilizer, contributing to the system's circular economy and aiding in&#xD;
environmental sustainability.
Tipo: Tese</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85371</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Modelagem hidrodinâmica e da dispersão de óleo na zona costeira de Fortaleza-Ce: uma ferramenta de suporte à gestão ambiental e a planos emergenciais.</title>
      <link>http://repositorio.ufc.br/handle/riufc/85092</link>
      <description>Título: Modelagem hidrodinâmica e da dispersão de óleo na zona costeira de Fortaleza-Ce: uma ferramenta de suporte à gestão ambiental e a planos emergenciais.
Autor(es): Silva, Luiz Felipe Cavalcante da
Abstract: Oil spill incidents pose a serious threat to coastal socio-ecological systems, potentially causing &#xD;
persistent environmental and socio-economic impacts and biodiversity loss. This dissertation &#xD;
evaluates the applicability of computational modeling as a support tool for port and &#xD;
environmental management, with emphasis on the development of emergency action plans for &#xD;
oil spill events in the coastal zone of Fortaleza (CE), Northeastern Brazil. To this end, the &#xD;
SisBaHiA® hydrodynamic model and the ADIOS2 oil weathering/decay model were &#xD;
implemented to perform hydrodynamic simulations and to simulate oil release, transport and &#xD;
weathering in the coastal domain of Fortaleza. The principal objectives were to implement, &#xD;
calibrate and validate a hydrodynamic model for the Fortaleza coastal domain using field &#xD;
observational data, and to simulate the formation and dispersion of oil slicks under three &#xD;
hypothetical spill volumes (8 m³, 200 m³ and 1000 m³) at the Mucuripe Port terminal, &#xD;
accounting for seasonal extremes of wind forcing and mapping areas of potential contamination. &#xD;
Hydrodynamic results were evaluated against observational time series from a tide gauge &#xD;
station and an ADCP. The comparison showed strong agreement for surface elevations &#xD;
(coefficient of determination R² &gt; 0.90; PBIAS &lt; ±1%; RMSE ≈ 5–14 cm; model–observation &#xD;
agreement index CIM &gt; 90%), whereas current velocity predictions exhibited moderate &#xD;
performance (R² ≈ 0.40–0.50; PBIAS ≈ -3%; RMSE ≈ 0.08 m/s; CIM &gt; 80%), reflecting the &#xD;
greater physical complexity involved in the spatiotemporal representation of coastal currents. &#xD;
Oil-spill simulations produced maps that combine probabilistic representations of areas &#xD;
potentially affected by hydrocarbons with deterministic trajectories for the events deemed &#xD;
critical. It is concluded that SisBaHiA® can provide useful inputs for local-scale risk &#xD;
assessment and response planning, although further adjustments and refinements, as well as &#xD;
continuity of this research, are recommended to optimize the model’s predictive capability for &#xD;
oil behaviour in the marine environment.
Tipo: Dissertação</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85092</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
  </channel>
</rss>

