Application of a fully-integrated surface-subsurface flow model at the watershed-scale: A case study

Abstract Numerous models have been developed over the last decades to simulate the fate of pesticides at the watershed scale. Based on a literature review, we inventoried thirty-six models categorized as management, research, screening or multimedia models, each of them having specific strengths and weaknesses. Given this large number of models, it may be difficult for potential users (stakeholders or scientists) to find the most suited one with respect to their needs. To help in this process, this paper proposes a pragmatic approach based on a multi-criteria analysis. Selection criteria are defined following the user's needs and classified in five classes: modelling characteristics, output variables, model applicability, possibilities to simulate best management practices (BMPs) and ease of use. The relative importance of each criterion is quantified by a weight and the total score of a model is calculated by adding the resulting weights of satisfied criteria. This selection framework is illustrated with a case study that consists in selecting a model to develop water quality standards at the watershed scale with respect to the implementation of BMPs. This resulted in the selection of three models: BASINS, SWAT and GIBSI.

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Global Sensitivity Analysis and Adaptive Stochastic Sampling of a Subsurface-Flow Model Using Active Subspaces

10.5194/hess-2019-163 ◽

2019 ◽

Cited By ~ 1

Author(s):

Daniel Erdal ◽

Olaf A. Cirpka

Keyword(s):

Sensitivity Analysis ◽

Flow Model ◽

Global Sensitivity Analysis ◽

Subsurface Flow ◽

Full Model ◽

Stochastic Sampling ◽

Global Sensitivity ◽

Parameter Combination ◽

Active Subspaces ◽

Active Subspace

Abstract. Integrated hydrological modelling of domains with complex subsurface features requires many highly uncertain parameters. Performing a global uncertainty analysis using an ensemble of model runs can help bring clarity which of these parameters really influence system behavior, and for which high parameter uncertainty does not result in similarly high uncertainty of model predictions. However, already creating a sufficiently large ensemble of model simulation for the global sensitivity analysis can be challenging, as many combinations of model parameters can lead to unrealistic model behavior. In this work we use the method of active subspaces to perform a global sensitivity analysis. While building-up the ensemble, we use the already existing ensemble members to construct low-order meta-models based on the first two active subspace dimensions. The meta-models are used to pre-determine whether a random parameter combination in the stochastic sampling is likely to result in unrealistic behavior, so that such a parameter combination is excluded without running the computationally expensive full model. An important reason for choosing the active subspace method is that both the activity score of the global sensitivity analysis and the meta-models can easily be understood and visualized. We test the approach on a subsurface flow model including uncertain hydraulic parameter, uncertain boundary conditions, and uncertain geological structure. We show that sufficiently detailed active subspaces exist for most observations of interest. The pre-selection by the meta-model significantly reduces the number of full model runs that must be rejected due to unrealistic behavior. An essential but difficult part in active subspace sampling using complex models is approximating the gradient of the simulated observation with respect to all parameters. We show that this can effectively and meaningful be done with second-order polynomials.

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Millennial and gen Z perspective towards eco-office campaign implementation in public sector

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/905/1/012122 ◽

2021 ◽

Vol 905 (1) ◽

pp. 012122

Author(s):

H P Pramana ◽

S Hastjarjo ◽

Sudarmo

Keyword(s):

Change Agents ◽

Secondary Data ◽

Primary Data ◽

Structured Interviews ◽

Fully Integrated ◽

Study Results ◽

Self Actualization ◽

New Policies ◽

Electronic Media Use

Abstract This study explains millennial and Gen-Z attitudes, perspectives, and behaviors in implementing the eco-office concept. As a qualitative method study, the study uses primary data through semi-structured interviews and secondary data collected from reports, public/private publications, and census results, using the Yin case study model as data analysis. The study results reveal that the biggest challenge in implementing new policies is self-thinking. Leaders, as change agents, play an essential role in penetrating messages that make them act pro-environment. The reward system will be very effective, especially providing satisfaction for self-actualization. The findings of this study have implications for policymakers as input. For example, the results show that social media plays a crucial role in increasing environmental awareness. In addition, simple shifts such as electronic media use at work will cut the file chain, making it more effective and favored by young people. They understand the consequences of their actions on the environment and have the education, motivation, and social awareness to participate in the green movement. However, beliefs and actions are not fully integrated, and investigating and understanding their behavior and unique needs in the workplace will lead employees to integrate and succeed together to support the environment.

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Information System Management in Health Institutions of Kosovo: Case Study

Journal of International Cooperation and Development ◽

10.36941/jicd-2021-0013 ◽

2021 ◽

Vol 4 (2) ◽

pp. 54

Author(s):

Afrim Loku ◽

Nadire Shehu Loku ◽

Lindita Loku

Keyword(s):

Information System ◽

Health System ◽

Health Information ◽

Health Information System ◽

Care Quality ◽

System Quality ◽

Fully Integrated ◽

Concept Model ◽

Health Institutions

Introduction: The main point in this paper is dedicated to the role and importance of the information system in public institutions with emphasis on health system: system preparation, establishment, implementation, and its application.Objective: The aim of this study is to increase the awareness and importance of health information system in health institutions and management and, to present a concept model of health information system to health institutions in Kosovo. Results: Presented Health Information System model shows the benefits and the role if implemented. The main aspects this concept takes in consideration is overall network, strategic flexibility and cost-reducing. Conclusion: This study highlights the benefits possible when new electronic health information system is fully integrated in health system of Kosovo. This case study illustrates the importance of developing new health information system that meets the actual challenges of health system, improve the system quality, usage and care quality. Received: 21 February 2021 / Accepted: 5 August 2021 / Published: 5 November 2021

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Intelligence Studies, Theory, and Intergroup Conflict and Resolution

Advances in Digital Crime, Forensics, and Cyber Terrorism - National Security and Counterintelligence in the Era of Cyber Espionage ◽

10.4018/978-1-4666-9661-7.ch014 ◽

2016 ◽

pp. 247-258

Author(s):

Elena Mastors ◽

Joseph H. Campos

Keyword(s):

Conflict Resolution ◽

Intergroup Conflict ◽

Social Psychological ◽

Fully Integrated ◽

Intergroup Processes ◽

Conflict Resolution Strategies ◽

Intelligence Studies ◽

Resolution Strategies

The study of intelligence traditionally relies on descriptive and case study approaches. However, the study of intelligence should shift from this reliance on case study approaches to one grounded in multidisciplinary theory. In particular, social psychological approaches should be fully integrated into an intelligence studies curriculum. These theories inform our understanding of intergroup processes, specifically intergroup conflict, so that we can begin to develop appropriate conflict resolution strategies.

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An Integrated GIS Methodology to Assess the Impact of Engineering Maintenance Activities: A Case Study of Dredging Projects

Journal of Marine Science and Engineering ◽

10.3390/jmse8030186 ◽

2020 ◽

Vol 8 (3) ◽

pp. 186

Author(s):

Pedro Magaña ◽

Miguel Á. Reyes-Merlo ◽

Ángela Tintoré ◽

Carmen Zarzuelo ◽

Miguel Ortega-Sánchez

Keyword(s):

Spatial Data ◽

Methodological Approach ◽

Decision Making Process ◽

Regional Government ◽

Fully Integrated ◽

Maintenance Activities ◽

Social Environmental ◽

Design Databases ◽

The Impact

Engineering infrastructures require regular maintenance and/or repair activities that have important social, environmental, and economic impacts. Despite their growing importance, few studies have focused on fully integrated analyses. This work presents a general methodological approach to design databases of engineering maintenance activities for their assessment. This methodology was applied to the case of dredging projects in the ports managed by the Andalusian Regional Government (Spain). The resulting database contains 87 fields of information obtained from the analysis of 70 activities performed between 1993 and 2015. This database is free, public, and available to the scientific community, and it was implemented in PostgreSQL using the PostGIS extension for spatial data; therefore, it can be integrated in a GIS. The assessment of deviations from the initial projects and the comparison between locations enhanced our methodology, which represents a valuable tool not only for scientists and managers to improve the decision-making process when planning future strategies, but also to evaluate the environmental impacts.

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