Groundwater Resources Management Modelling: A Review

Globally, groundwater is the largest distributed storage of freshwater that plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often changes as a result of land usage, abstraction as well as variation in climate. Thus, efficient management of groundwater resources to prevent overexploitation, scarcity, and minimising the effects of drought has become a major challenge for researchers as well as water managers. Furthermore, a number of research challenges such as the lack of computational efficiency and scalability due to uncertainties from input parameters to the groundwater resource model have been revealed in the management of groundwater resources. To solve these challenges, many conventional solutions such as numerical techniques have been proffered for groundwater modelling. Also, the use of data-driven techniques such as machine learning is gaining more attraction to solve these aforementioned challenges. Thus, this has made efficient data gathering essential to maintain da-ta-driven groundwater resources management models from the observation site. The global evolution of the Internet of Things (IoTs), has increased the nature of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. Although the IoTs enabled automated data processing systems are in existence by transmitting the generated data from IoT enabled devices into the cloud through the Internet. However, traditional IoT Internet is not scalable and efficient enough to process the generated vast IoT data At the moment, some pieces of the literature revealed the groundwater managers lack an efficient, scalable and real-time groundwater management system to gather the required data. Also, the literature revealed that the existing methods of collecting data lack efficiency to meet computational model requirements and meet management objectives. Thus, it is necessary to have an efficient and scalable IoT system to extract valuable information in real-time for groundwater resource management. Unlike previous surveys which solely focussed on particular groundwater issues related to simulation and optimisation management methods, nonetheless, this paper seeks to highlight the current groundwater management models as well as the IoT contributions

Download Full-text

Groundwater Level Resources Management Modelling: A Review

10.20944/preprints202107.0227.v1 ◽

2021 ◽

Author(s):

Banjo Ayoade Aderemi ◽

Thomas Otieno Olwal ◽

Julius Musyoka Ndambuki ◽

Sophiar S. Rwanga

Keyword(s):

Resource Management ◽

Groundwater Level ◽

Distributed Storage ◽

Groundwater Resources ◽

Data Gathering ◽

Data Driven ◽

The Internet ◽

Resources Management ◽

Management Models ◽

Efficient Data

Globally, groundwater is the largest distributed storage of freshwater that plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, this resource is not unlimited and its sustainability is highly dependent on its prudent use. Thus, efficient management of groundwater resources to prevent overexploitation, scarcity and drought has become a major challenge for researchers as well as water managers. To solve these challenges, many solutions such as simulation and optimisation models have been proffered through the use of historical data. Therefore, this has made efficient data gathering essential to maintain data-driven groundwater level resource management models from the observation site. The global evolution of the Internet of Things (IoTs), has increased the nature of data gathering for the management of groundwater resources. Recently, a number of research challenges such as the lack of computational efficiency and scalability due to uncertainties from input parameters to the groundwater level resource model have been revealed in the management of groundwater level resources. In addition, efficient data-driven groundwater level resource management relies hugely on information relating to changes in groundwater resource levels as well as its availability. At the moment, the groundwater managers lack an efficient and scalable groundwater management system to gather the required data. The literature revealed that the existing methods of collecting data lack efficiency to meet computational model requirements and meet management objectives. Although the IoTs enabled automated data processing systems are in existence by transmitting the generated data from IoT enabled devices into the cloud through the Internet. However, traditional IoT Internet is not scalable and efficient enough to process the generated vast IoT data. Thus, it is necessary to have an efficient and scalable IoT system to extract valuable information in real-time for groundwater level resource management. Unlike previous surveys which solely focussed on particular groundwater issues related to simulation and optimisation management models, nonetheless, this paper seeks to highlight the current groundwater level resources management models as well as the IoT contributions.

Download Full-text

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

10.20944/preprints202107.0227.v3 ◽

2021 ◽

Author(s):

Banjo Aderemi ◽

Thomas Otieno Olwal ◽

Julius Musyoka Ndambuki ◽

Sophia Sudi Rwanga

Keyword(s):

Groundwater Management ◽

Distributed Storage ◽

Groundwater Resources ◽

Data Gathering ◽

Land Usage ◽

Management Models ◽

Management Objectives ◽

Efficient Data ◽

The Moment ◽

The Internet Of Things

Globally, groundwater is the largest distributed storage of freshwater and plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often change as a result of land usage, abstraction, as well as variation in climate. To solve these challenges, many conventional solutions, such as certain numerical techniques, have been proffered for groundwater modelling. The global evolution of the Internet of Things (IoT) has enhanced the culture of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. At the moment, some studies in the literature reveal that groundwater managers lack an efficient and real-time groundwater management system that is needed to gather the required data. Additionally, the literature reveals that the existing methods of collecting data lack the required efficiency to meet computational model requirements and meet management objectives. Unlike previous surveys, which solely focussed on particular groundwater issues related to simulation and optimisation management methods, this paper seeks to highlight the current groundwater management models as well as the IoT contributions.

Download Full-text

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

Sustainability ◽

10.3390/su14010148 ◽

2021 ◽

Vol 14 (1) ◽

pp. 148

Author(s):

Banjo Ayoade Aderemi ◽

Thomas Otieno Olwal ◽

Julius Musyoka Ndambuki ◽

Sophia Sudi Rwanga

Keyword(s):

Groundwater Management ◽

Distributed Storage ◽

Groundwater Resources ◽

Data Gathering ◽

Land Usage ◽

Management Models ◽

Management Objectives ◽

Efficient Data ◽

The Moment ◽

The Internet Of Things

Globally, groundwater is the largest distributed storage of freshwater and plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often change as a result of land usage, abstraction, as well as variation in climate. To solve these challenges, many conventional solutions, such as certain numerical techniques, have been proffered for groundwater modelling. The global evolution of the Internet of Things (IoT) has enhanced the culture of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. At the moment, some studies in the literature reveal that groundwater managers lack an efficient and real-time groundwater management system which is needed to gather the required data. Additionally, the literature reveals that the existing methods of collecting data lack the required efficiency to meet computational model requirements and meet management objectives. Unlike previous surveys, which solely focussed on particular groundwater issues related to simulation and optimisation management methods, this paper seeks to highlight the current groundwater management models as well as the IoT contributions.

Download Full-text

Assessing the groundwater resources management in the Bac Lieu Province, Mekong delta, Vietnam

Journal of Vietnamese Environment ◽

10.13141/jve.vol8.no5.pp257-261 ◽

2017 ◽

Vol 8 (5) ◽

pp. 257-261

Author(s):

Ky Trung Phan ◽

Thi Le Hang Tran ◽

Thi My Linh Nguyen ◽

Pham Dang Tri Van

Keyword(s):

Groundwater Management ◽

Separation Of Powers ◽

Water Governance ◽

Groundwater Resources ◽

Stakeholder Involvement ◽

Mekong Delta ◽

Local People ◽

Policy Coherence ◽

Resources Management ◽

Groundwater Resources Management

The research aims to assess the current groundwater resources management in Bac Lieu province. The combination of descriptive statistic and interview approach (including individual interview and key informant panel) were applied based on the principles of water governance framework developed by the Organization of Economic Co-operation and Development (OECD) to assess the policy coherence and the transparency and stakeholder engagement of the groundwater management. The study showed that the current groundwater resources management improved overtime; however, the policies were not completely sufficient and the responsibility of the units related to the groundwater resources management was not indicated clearly yet. Thus, overlaps in function of different management units are found and the access of the local people to the groundwater management was limited. In addition, the stakeholder involvement in managing the groundwater resources was in short of both amount and qualification. The separation of powers seems to be higher and higher, the local government has the main responsibility to manage the groundwater and the communities, especially the local people still have low rate of participation in the groundwater resources management process. Nghiên cứu được thực hiện nhằm đánh giá hiện trạng quản lý nguồn tài nguyên nước dưới đất (NDĐ) tại tỉnh Bạc Liêu. Sự kết hợp giữa phương pháp thống kê mo tả va phương pháp phỏng vấn (bao gồm phỏng vấn cá nhân và phỏng vấn chuyên gia)dựa trên những quy định về quản trị tài nguyên nước của Tổ chức Hợp tác và Phát triển Kinh tế (OECD – Organization for Economic Co-operation and Development) được áp dụng để đánh sự chặt chẽ của các chính sách quản lý, sự minh bạch của công tác quản lý và sự tham gia của các bên có liên quan. Kết quả cho thấy, cơ chế quản lý nguồn tài nguyên NDĐ đã và đang dần hoàn thiện, song các chính sách quản lý vẫn còn chưa đầy đủ và trách nhiệm của các đơn vị quản lý vẫn chưa được quy định rõ ràng. Vì vậy, đến nay công tác quản lý còn phát sinh sự chồng chéo và thiếu sự phối hợp giữa các cơ quan chức năng có liên quan cũng như sự liên kết giữa cơ quan quản lý địa phương và người sử dụng tài nguyên NDĐ. Thêm vào đó, các bên có liên quan tham gia vào quản lý nguồn tài nguyên NDĐ còn hạn chế về cả số lượng và năng lực, trong đó chính quyền địa phương là đơn vị quản lý chính; do vậy, sự tập trung quyền hạn vào một chủ thể (chính quyền địa phương) là rất cao và sự tham gia của cộng đồng, đặc biệt là người sử dụng NDĐ, còn hạn chế.

Download Full-text

Joint actions for more efficient management of common groundwater resources in Estonia and Latvia

10.5194/egusphere-egu21-1979 ◽

2021 ◽

Author(s):

Aiga Krauze ◽

Jaanus Terasmaa ◽

Elve Lode ◽

Janis Bikše ◽

Kersti Türk ◽

...

Keyword(s):

Groundwater Management ◽

Groundwater Resources ◽

River Basins ◽

Resources Management ◽

Joint Actions ◽

Volunteer Monitoring ◽

Efficient Management ◽

Groundwater Dependent Ecosystems ◽

Status Assessment ◽

Groundwater Resources Management

European water policy requires to carry out nine tests for characterisation of groundwater bodies status, including the development of joint transboundary groundwater management principles.&#160;Gauja/Koiva and Salaca/Salatsi Rivers have a joint, Estonian/Latvian transboundary water cycle, including the groundwater recharge and discharge cycling. Despite the fact that groundwater is the only drinking water source in Gauja/Koiva and Salaca/Salatsi River basins and ensures the existence of many groundwater dependent ecosystems, the overall awareness of integrated cross-border management practice is still poorly understood and poorly linked in implementation of concrete groundwater protection actions.&#160;Taking into account the above-mentioned aspects, Latvian and Estonian groundwater and groundwater dependent ecosystems specialists from research, nature protection and groundwater resources management institutions have joined forces in the project funded by the Interreg Estonia-Latvia program: "Joint actions for more efficient management of common groundwater resources in Estonia and Latvia "(WaterAct).The ongoing Est-Lat project &#8220;WaterAct&#8221; (2020&#8211;2022) of joint transboundary groundwater management project organised into the three activity blocks: (1) The capacity building of the joint groundwater transboundary management through exchange of knowledge and best management practices between project partners and key experts in other European Union countries; (2) Assessment of groundwater resources in transboundary River basins to improve groundwater management in accordance with valid international directives; (3) Dissemination and outreach activities to increase the overall awareness of ecosystems friendly groundwater management and protection of key actors working with groundwater assessments and locals.&#160;Firstly, the joint cross-boundary principles of identification and status assessment of shared groundwater bodies will be developed. Adaptation of existing knowledge, cross-boundary harmonization and development of needed methodologies will be used.&#160;Secondly, the joint cross-boundary assessment principles will be implemented into groundwater resources management. The status assessment of shared groundwater bodies will be carried out in close cooperation between project partners to create materials necessary for the development of last River Basin Management Plans (2022-2027), required by the Water Framework Directive and Groundwater Directive.Thirdly, the dissemination of project results will be carried out (1) by compilation of Guidelines of Groundwater Dependent Ecosystems for different levels and fields of decision making and experts, (2) by compilation of Spring Water Monitoring Guide for Volunteers and starting volunteer monitoring. For volunteer monitoring, a special web-based map application will be developed (allikad.info).&#160;&#160;The project of &#8220;Joint actions for more efficient management of common groundwater resources&#8221; (WaterAct, Est-Lat155) funded by ERDF Interreg Estonia-Latvia cooperation programme.

Download Full-text