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检索条件"丛书名=Lecture Notes in Geoinformation and Cartography"

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Managing Groundwater Withdrawal Using a DSS Based on GIS-MODFLOW Coupling Tool: A Case Study of the Berrechid Aquifer, Morocco 4th

Managing Groundwater Withdrawal Using a DSS Based on GIS-MOD...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Zerouali, Adil El Hamidi, Mohamed Jalal Larabi, Abdelkader Faouzi, Mohamed Chafik, Omar Mohamed V Univ Rabat Reg Water Ctr Maghreb EMI LAMERN Rabat Morocco ABHBC Bouregreg Hydraul Basin Agcy Benslimane Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

The hydrodynamic modeling of the Berrechid aquifer using the MODFLOW code enables the understanding of the aquifer's hydrodynamic functioning, including the estimation of lateral exchanges between the aquifer and the Settat plateau, Oued Mellah, and the Chaouia coastal aquifer. Calibration of the mathematical model under steady-state conditions using piezometric state at 1980 enhances the spatial distribution of hydraulic conductivities across the entire domain and enables an assessment of the aquifer resevoir under steady-state conditions. While calibration of the model under transient conditions refines the spatial distribution of the aquifer's storage coefficient. Results from this simulation indicate a water deficit, with an average drawdown of 2 m per year. Recent droughts in the area have significantly impacted water supplies for both the population and agriculture, underscoring the need for a tool to manage water withdrawal and intervention directly at user levels to protect groundwater against overexploitation. A management groundwater withdrawal tool has been developed for the Berrechid aquifer, using a Decision Support System (DSS) based on coupling ArcGIS to MODFLOW to calculate drawdown caused by groundwater withdrawals at specific areas.

关键词： Hydrodynamic modeling Berrechid aquifer MODFLOW code Steady-state conditions Transient conditions Management water withdrawal tool ArcGIS Drawdown

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Machine Learning Based Statistical Downscaling Approach for the Assessment of Climate Change Impact on Precipitation in Damaturu, Nigeria 4th

Machine Learning Based Statistical Downscaling Approach for ...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Abdullahi, Jazuli Tahsin, Ala Yesilnacar, Mehmet Irfan Karabulut, Abdullah Izzeddin Daramola, Oluwatoyin Baze Univ Fac Engn Civil Engn Dept Abuja Nigeria Harran Univ Environm Engn Dept Sanliurfa Turkiye Harran Univ Remote Sensing & Geog Informat Syst Sanliurfa Turkiye

ISBN: (纸本)9783031630408;9783031630385;9783031630378

Precipitation forecasts for the future are crucial for the efficient management of water resources. These forecasts are often made using global circulation models (GCMs). Therefore, this paper examined the impact of climate change on precipitation for Damaturu, Yobe State, Nigeria between 2050 and 2080 using GCM variables. To achieve this, an artificial neural network (ANN) was utilized to downscale observed precipitation data using the BNU-ESM GCMs under the emission scenario RCP 4.5. The mutual information (MI) technique was used to rank various climate predictors based on their influence on precipitation. In order to downscale the precipitation data, five distinct predictor combinations were used to create the ANN models. Next, the Root Mean Square Error (RMSE) and Determination Coefficient (DC) performance metrics were used to identify the best downscaling model. It was discovered that M1, which combined the top 8 ranked predictors, performed the best throughout both the projection and downscaling phases. The final M1 results indicated that a decrease in precipitation will likely be experienced in the Damaturu region within the given period. In the months with the highest amounts of precipitation, the decrease will be more pronounced with the greatest amount of up to 20% occurring during the wettest month of August, near the end of the twenty-first century.

关键词： Climate change Mutual information Global circulation models Damaturu region Nigeria

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Are Droughts Becoming More Severe or Longer in Morocco Based on the Standardized Precipitation Evapotranspiration Index for 1979-2022? 4th

Are Droughts Becoming More Severe or Longer in Morocco Based...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Moutia, Sara Sinan, Mohamed Lekhlif, Brahim EHTP Ecole Hassania Travaux Publ Casablanca Morocco DGM Direct Gen Meteorol Casablanca Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

Morocco has been experiencing droughts in the last three decades. Furthermore, drought frequency and severity are expected to increase due to climate change. So, a performant drought monitoring is needed to contribute to the adaptation of more efficient measures to mitigate the opposite impacts. The monitoring of the drought is generally presented by the use of drought indices, which are based on different climatic and hydrological variables. In this study, the monthly. Standardized Precipitation Evapotranspiration Index (SPEI) data for the whole of Morocco is calculated Using ERA5 Reanalysis data relies on air temperature and precipitation. The SPEI is estimated by the time scale of 6 months depending on accumulated water balance for the six previous months. This work has two main objectives;firstly, an evaluation of ERA5 Reanalysis, to choose it as an alternative data of the ground observations using statistical metrics. Secondly, this work assesses the spatial and temporal features of drought obtained from the monthly SPEI. The results show that the drought irregularly appears in Morocco and that it is possible to distinguish drought years clearly using the SPEI. In addition, the Moroccan climate experienced a significant drying tendency with increasing spatial extent, concurrently drought events have also increased in terms of frequency, duration and intensity across Morocco examined by the comparison of the two 22-year periods 1979-2000 and 2001-2022.

关键词： Drought SPEI ERA5 reanalysis Morocco Climate change

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Long-Term Assessment of Spatiotemporal Silting Patterns in Moroccan Dams via Bathymetry-GIS Integration 4th

Long-Term Assessment of Spatiotemporal Silting Patterns in M...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Mohafid, Said Stour, Laila Benchara, Ayoub Agoumi, Ali Hassan II Univ Casablanca Fac Sci & Tech Mohammedia Proc & Environm Engn Lab Mohammadia Morocco Moroccan Minist Equipment & Water Directorate Gen Hydraul Rabat Morocco Hassania Sch Publ Works Civil Engn Hydraul Environm & Climate Change Lab Casablanca Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

In regions facing the dynamic challenges of environmental change, the sustainable development of water management strategies is paramount. In the Moroccan landscape, where the increase in water demand, driven by population growth and intensified by the adverse effects of climate change accentuating the siltation of reservoirs, the importance of dams in the management of water resources requires a thorough understanding of spatiotemporal siltation models. This research work presents an in-depth investigation of siltation phenomena within Moroccan dams, over a long period. Using an integrative methodology, the research combines century-old bathymetric data with Geographic Information System (GIS) technologies. The resulting interactive maps make it possible to identify regions most sensitive to dam siltation and provide a complete overview of temporal changes. The analysis highlights the omnipresence of siltation in all Moroccan watersheds. The Moulouya basin is distinguished by its unique pedological characteristics and its arid climate, exacerbated by intense rainfall and deforestation. The results provide valuable information for decision-makers and water resource managers, offering essential information for strategic planning and the implementation of targeted measures to mitigate the impact of siltation.

关键词： Siltation Bathymetry Geographic Information System (GIS) Spatial and temporal distribution Water resources management Morocco

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Overview of the Evolution of Marine Intrusion Research from 2000 to 2022 4th

Overview of the Evolution of Marine Intrusion Research from ...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： El Hammoudani, Yahya Dimane, Fouad Haboubi, Khadija Benaabidate, Lahcen Bourjila, Abdelhak Benaissa, Chaimae Achoukhi, Iliass Touzani, Abdelaziz Bouhout, Sara Faiz, Hatim El Abdouni, Aouatif Haboubi, Chaimae Abdelmalek Essaadi Univ Natl Sch Appl Sci Al Hoceima Dept Energy & Environm Civil Engn Engn Sci & Applicat Lab Tetouan Morocco Univ Sidi Mohammed Ben Abdellah Lab Funct Ecol & Environm Engn Fes 30500 Morocco Abdelmalek Essaadi Univ Fac Sci & Technol Tangier Dept Earth Sci Geosci Res Team Nat Risks Tetouan Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

The infiltration of saltwater into groundwater sources along coastal areas can cause a substantial rise in salinity, impacting the main water supply in these areas. The purpose of this paper is to deliver a comprehensive examination of contemporary research patterns in groundwater intrusion. The study concentrates on the period spanning 2000-2022, and it involved analyzing 1908 papers from the Scopus database utilizing the 'bibliometrix' package in the R programming language. The study's findings, which were visualized using 'biblioshiny' and 'VOSviewer', demonstrate that research on marine intrusion is on the rise. Interdisciplinary teams of researchers from various countries are working together to attain integrated outcomes. As evidenced by the investigation, the utilization of spatial data science and remote sensing has experienced a significant surge in this field. This paper aims to provide valuable insights to inspire researchers by presenting the current state of research on this topic, including popular research methods, the involvement of authors, and directions for future research.

关键词： Authorship Bibliometric analysis Marine intrusion Scopus

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Numerical Modeling of the Future Climate Change Impacts on the Ghis-Nekkor Aquifer Under RCP4.5 and RCP8.5 (Al Hoceima, North of Morocco) 4th

Numerical Modeling of the Future Climate Change Impacts on t...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Larabi, Abdelkader El Asri, Hanane Faouzi, Mohamed El Hamidi, Mohamed Jalal Mohamed V Univ Rabat Reg Water Ctr Maghreb EMI LAMERN Rabat Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

The study area covers the Ghis-Nekkor plain on the Mediterranean coast located in the north of Morocco. This groundwater aquifer is a typical example of a coastal aquifer whose water resources are exposed to severe overexploitation combined with increasingly low water supplies. The Ghis-Nekkor aquifer is an area highly vulnerable to seawater intrusion (SWI), firstly, because of less natural recharge, mean sea level rise due to climate change combined to groundwater overexploitation. The Regional Climate Models (RCMs) indicate a decrease in precipitation (18%) and an increase of average temperature (0.5 degrees C) in the Ghis-Nekkor area by 2050 under the RCP4.5 scenarios. These changes would have a direct impact on groundwater recharge of the aquifer. The results of the predicted groundwater recharge show a reduction of the mean annual recharge of 14% for (2021-2050) following the RCP4.5 scenario. Moreover, predicted values of future groundwater recharge under the RCP8.5 scenario would decrease more and would reach 30% less for the period (2055-2084). In view of the limited fresh water resources and degradation of water quality by sea water intrusion, effective management of ground water resources in this aquifer is necessary and can be made by developing a groundwater flow model taking into account seawater intrusion. Indeed, the outputs of RCMs for precipitation and SLR were used to assess the impact of pumping and climate change on the Ghis-Nekkor aquifer under the RCP4.5 and RCP 8.5 scenarios (2020-2040). The results show that the N-W sector of the coastal area would be more vulnerable to SWI. By 2040, the length of inland encroachment would reach 1 km, with a significant salinity (25 g/l) and a significant drop in hydraulic head (-15 m) following the RCP4.5 scenario. The extreme case of groundwater recharge and SLR under the RCP8.5 scenario will cause more severe impacts. By 2040, the length of inland encroachment would be around 1.23 km in the N-W part, at a d

关键词： Ghis-Nekkor Climate change Regional climate models Seawater intrusion Salinity Groundwater recharge Hydrogeology

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Water Research in the Age of AI: A Bibliometric Heuristic Analysis for Trends and Opportunities 4th

Water Research in the Age of AI: A Bibliometric Heuristic An...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Boutracheh, Hicham Mejjad, Nezha El Bouhadioui, Mohammed Moumen, Aniss Ibn Tofail Univ Natl Sch Appl Sci Lab Engn Sci Kenitra Morocco Natl Ctr Sci & Tech Res IMIST Rabat Morocco Natl Ctr Nucl Energy Sci & Technol Kenitra Morocco Natl Sch Mines BP 753 Rabat Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

Water is an essential resource for food, agriculture, health and industry. It is currently facing challenges posed by demographic, economic and climate change. Meanwhile, advances in artificial intelligence and machine learning (AI-ML) offer an opportunity to process large volumes of data to understand complex water-related phenomena better. This study aims to analyse the intersection of Water and AI-ML research, identifying trends shaping current research and giving insights about the future. It uses bibliometric analysis to examine Scopus data, with an incremental, heuristic approach. By the end, the analysis, based on Scival, is also crosschecked with Web of Science (WOS) data. The findings show a great dynamism in this field, with a focus on engineering approaches like "Remote Sensing," "Optical Engineering," and "Photogrammetry." Research topics emphasise detecting, measuring, modelling, and predicting hydrological, geological, and climatic phenomena. There is also a growing cross-disciplinary emphasis on energy, thermodynamics, materials, and chemistry. On the other hand, AI-ML techniques, such as "Artificial Neural Networks", "Random Forest" and "Long Short-Term Memory", are increasingly used. It also seems that the trend is towards studying parameters related to "Water Quality", "Ground Water" and "Water Levels". This particularly benefit the fields of "Agriculture" and "Water Resources Management". At the level of international collaboration, an accentuated concentration is noted with a small number of prolific countries (China, USA, India). However, industrial collaboration remains relatively weak, presenting both opportunities and challenges. Finally, this research seems to be taking a direction that is still in its infancy, due to its precocity. Nevertheless, it presents considerable potential for development, particularly in terms of international and industrial collaboration. As a perspective, the expert information comparison would certainly be benefi

关键词： Water research WRM Artificial intelligence ML Bibliometrics Research priority Research trends Industrial collaboration Patent Scival Incites

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A Bibliometric Analysis and Classification of Research on Water Resources Management Based on 17SDGs and ANZSRC Indicators 4th

A Bibliometric Analysis and Classification of Research on Wa...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Mejjad, Nezha Moumen, Aniss Boutracheh, Hicham Hilal, Ismail Qurtobi, Mohamed El Bouhaddioui, Mohamed Natl Ctr Nucl Energy Sci & Technol Kenitra 14000 Morocco Ibn Tofail Univ Natl Sch Appl Sci Kenitra 14000 Morocco CNRST IMIST Natl Ctr Sci & Tech Res Rabat Morocco Natl Sch Mines BP 753 Rabat 14000 Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

Water scarcity has become a major global concern due to climate change, excessive use and pollution. Establishing and developing strategies and approaches to manage available water resources is challenging under the current natural and anthropogenic pressures. The present study analyzes the current research trend on Water Resource Management (WRM) by conducting a bibliometric analysis using Vosviewer software (version 1.6.20). The study also analyzes the research categories based on the 17 Sustainable Development Goals (17SDGs) and the Australian and New Zealand Standard Research Classification (ANZSRC). Based on the two classifications, the sustainable and effective management of water resources at the scientific level requires the integration of interdisciplinary research projects, while at the societal, economic, and strategic levels, the 17 SDGs must all be taken into account when establishing WRM projects. The results of the bibliometric analysis show that the current focus is on climate variability and its impact on food security. China is found to be the hotspot country with the highest number of publications, followed by the United States, while a lack of publications on WRM was found in developing countries that reported suffering from water scarcity and climate impacts. These findings are crucial for future research on WRM as they provide the basic knowledge about research trends in this research field.

关键词： Research and development management

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The Use of Artificial Intelligence to Optimise Water Resources: A Comprehensive Assessment 4th

The Use of Artificial Intelligence to Optimise Water Resourc...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Dimane, Fouad El Hammoudani, Yahya Benaabidate, Lahcen Haboubi, Khadija Bourjila, Abdelhak Benaissa, Chaimae Achoukhi, Iliass Touzani, Abdelaziz Faiz, Hatim Abdelmalek Essaddi Univ Natl Sch Appl Sci Al Hoceima Dept Energy & Environm Civil Engn Engn Sci & Applicat Lab Tetouan Morocco Univ Sidi Mohammed Ben Abdellah Lab Funct Ecol & Environm Engn Fes 30500 Morocco Abdelmalek Essaddi Univ Fac Sci & Technol Tangier Dept Earth Sci Geosci Res Team Nat Risks Tetouan Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

The issue of water management is at the heart of debates in many international forums. To meet the growing demand for water due to the current global crisis, it is essential to focus more on water management techniques applied in different applications. Taking into account population density, it becomes imperative to implement intelligent water management mechanisms for efficient distribution, preservation of water quality, and its use for various purposes. Our work addresses several key areas required for efficient water management, including wastewater recycling, water distribution, rainwater harvesting and irrigation, using artificial intelligence (AI) models. The data required for these applications is unique and varies according to context, so it is crucial to use a versatile model or algorithm capable of providing solutions for all these cases. AI, deep learning and Internet of Things techniques can facilitate the design of an intelligent water management system for the sustainable use of natural resources. Our work explores different approaches to water management using AI, DL and IoT, drawing on case studies and statistical analysis to develop a successful water management system.

关键词： Artificial intelligence (AI) Water management Water management techniques Water distribution Wastewater recycling

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3D Topology Rules Implementation in Spatial Database

3D Topology Rules Implementation in Spatial Database

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18th International 3D GeoInfo Conference

作者： Salleh, Syahiirah Ujang, Uznir Azri, Suhaibah Univ Teknol Malaysia Fac Built Environm Dept Geoinformat 3D GIS Lab Johor Baharu 81310 Johor Malaysia

ISBN: (纸本)9783031437014;9783031436994;9783031436987

Topological information consists of connectivity, adjacency and containment properties which describes relationships between 3D objects. This information provides the basis for more complex 3D spatial analyses. However, only 2D topology rules are available in spatial databases. Consequently, the results based on a 2D topology will also be limited to 2D. This hinders the capabilities of a spatial database in handling 3D data. This study proposed an implementation of 3D topology rules within a spatial database to define valid topological relationships between 3D objects. A 36-Intersection Model that describes intersections between objects interiors, boundaries and exteriors were developed as an additional PL/SQL script for Oracle spatial database. The intersections included ten topological groups with dimension of intersection from 0 to 3D, which are point-to-point, point-to-line, point-to-region, point-to-volume, line-to-line, line-to-region, line-to-volume, region-to-region, region-to-volume and volume-to-volume. Six cases were tested which included 3D objects with disjoint, meet (touches), equals, contains, inside (within) and overlaps topological relationship. As a result, the intersection matrix describing the dimension of intersections between objects could be determined. The 36IM topology rules were able to determine the topological relationships between 3D objects without requiring object decomposition and additional storage. Therefore, 3D topology rules are a lightweight but effective method to maintain topological information between 3D objects.

关键词： 3D topology Topology rules Topological relations

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