Assessing the climate change adaptability of sustainable land management practices regarding water availability and quality: A case study in the Sorraia catchment, Portugal

Laan, E. van der; Nunes, João Pedro; Dias, Luís Filipe; Carvalho, S. C. P.; Santos, Franciane Gobbi

doi:10.1016/j.scitotenv.2023.165438

Cited by 10 publications

(5 citation statements)

References 71 publications

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“…For calibration and validation, respectively, R 2 reached values of 0.58 and 0.54, the bias was 2.97 and -0.42, and the RMSE 6.04 and 5.93 m 3 s −1 . Ponte Vila Formosa streamflow was also modeled by van der Laan et al (2023) with SWAT model. They obtained an NSE, an R 2 , and a PBIAS for calibration period of 0.76, 0.77, and -7.1%, respectively.…”

Section: Mohid-land Modelmentioning

confidence: 99%

Assessing the reliability of a physical-based model and a convolutional neural network in an ungauged watershed for daily streamflow calculation: a case study in southern Portugal

Oliveira,

Ramos,

Simionesei

et al. 2024

Environ Earth Sci

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The main goal of this study was to estimate inflows to the Maranhão reservoir, southern Portugal, using two distinct modeling approaches: a one-dimensional convolutional neural network (1D-CNN) model and a physically based model. The 1D-CNN was previously trained, validated, and tested in a sub-basin of the study area where observed streamflow values were available. The trained model was here subject to an improvement and applied to the entire watershed by replacing the forcing variables (accumulated and delayed precipitation) to make them correspond to the values of the entire watershed. The same way, the physically based MOHID-Land model was calibrated and validated for the same sub-basin, and the calibrated parameters were then applied to the entire watershed. Inflow values estimated by both models were validated considering a mass balance at the reservoir. The 1D-CNN model demonstrated a better performance in simulating daily values, peak flows, and the wet period. The MOHID-Land model showed a better performance in estimating streamflow values during dry periods and for a monthly analysis. Hence, results show the adequateness of both modeling solutions for integrating a decision support system aimed at supporting decision-makers in the management of water availability in an area subjected to increasing scarcity.

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Section: Mohid-land Modelmentioning

confidence: 99%

Assessing the reliability of a physical-based model and a convolutional neural network in an ungauged watershed for daily streamflow calculation: a case study in southern Portugal

Oliveira,

Ramos,

Simionesei

et al. 2024

Environ Earth Sci

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“… Lescourret et al [ 34 ] Moraine et al [ 35 ] Piemontese et al [ 36 ] Castelli et al [ 43 ] Newig and Challies [ 44 ] No Integrated Water Resources Management (IWRM). van der Laan et al [ 45 ] No Sustainable land management Tarolli and Straffelini [ 46 ] No Sustainable agriculture Wang et al [ 47 ] Novoa et al [ 48 ] …”

Section: Literature Analysis Of Swm-related Publicationsmentioning

confidence: 99%

A bibliometric analysis-based literature review of the relationship between sustainable water management and green innovations in the agricultural sector

Boros,

Gordos,

Tőzsér

2024

Heliyon

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“…The paper identified the contributions made by climate change, human development, and the two aspects in combination to the future state of global water resources. The quality, accessibility, and distribution of water resources can all be impacted by climate change [39,40]. Changes in precipitation patterns, streamflow, and river discharge can affect water resources.…”

Section: Citation Metricsmentioning

confidence: 99%

Global Research Landscape of Climate Change, Vulnerability, and Islands

Zulhaimi,

Pereira,

Muhamad

2023

Sustainability

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Climate change has increased the vulnerability of many communities and ecosystems, including those on islands. This study evaluates the patterns of scientific publication and visualises network connections between countries and keywords by presenting four sets of bibliometric analyses of publications related to “climate change and vulnerability”, “climate change and island”, “vulnerability and island”, and “vulnerability, climate change, and island”, as obtained from the Scopus database. Based on the combinations of keywords in the article, the study retrieved 1768 documents for “climate change and vulnerability”, 501 documents for “climate change and island”, 270 documents for “vulnerability and island”, and 37 documents for “vulnerability, climate change, and island” for further analysis using various tools. Microsoft Excel was used to conduct the frequency analysis, and Harzing’s Publish or Perish and VOSviewer were used for the citation metrics analysis and data visualisation, respectively. The results are reported using standard bibliometric indicators, such as the annual growth of publications, publications by subject, prolific authors, most active institutions, active journals, highly cited articles, co-authorship by countries, and co-occurrence keyword analysis. The findings revealed that there has been continuous growth in the number of publications on all four research topics since the first publication, and the main subject found on Scopus for all topics in Environmental Science. For “climate change and vulnerability”, the most productive author is James D. Ford, and the most active journal is Climatic Change. The most-cited document has received 3243 citations. Meanwhile, for “climate change and islands”, the most productive author and most active journals are Patrick D. Nunn and Regional Environmental Change, respectively, while the most cited document has received 285 citations. Subsequently, the most productive authors for “vulnerability and island” and “climate change, vulnerability, and island” received 627 citations and 154 citations, respectively. The country with the most links and highest total link strength was the United States of America, according to co-occurrence analysis between countries. Current themes are discussed, and future possible research is suggested based on the clustering of the keywords. Among the clusters that emerged from the network visualisations are those focused on the ecosystem, adaptation, water resources, human and health risk assessments, coastal vulnerability and management, and agricultural and resource management. This study will benefit policymakers, researchers, environmental practitioners, and the public because it provides a comprehensive overview of existing research, potential research directions, and the current state of knowledge on the topic, allowing a better understanding of the research landscape.

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Assessing the climate change adaptability of sustainable land management practices regarding water availability and quality: A case study in the Sorraia catchment, Portugal

Cited by 10 publications

References 71 publications

Assessing the reliability of a physical-based model and a convolutional neural network in an ungauged watershed for daily streamflow calculation: a case study in southern Portugal

Assessing the reliability of a physical-based model and a convolutional neural network in an ungauged watershed for daily streamflow calculation: a case study in southern Portugal

A bibliometric analysis-based literature review of the relationship between sustainable water management and green innovations in the agricultural sector

Global Research Landscape of Climate Change, Vulnerability, and Islands

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