Water Resource Evaluation and Identifying Groundwater Potential Zones in Arid area using Remote Sensing and Geographic Information System

Kamruzzaman, Mohammad; Alanazi, Saad; Alruwaili, Madallah; Alshammari, Nasser; Ṣiddiqi, Muḥammad Zubair; Huq, Md. Enamul

doi:10.3844/jcssp.2020.266.279

Cited by 16 publications

(5 citation statements)

References 34 publications

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“…It can also help build relationships among traders, improve the efficiency and productivity of the industry, and find a market for the product by exploring a global market for business (Shapiro, 2017). Some researchers found that a good infrastructure had a long-term impact on economic development by increasing productivity, efficiency, land use, maximum utilization of natural resources, opening a new venue for business, sharing experiences and promoting international trade (Cheng, 2016;Kamruzzaman & et al, 2020).…”

Section: Infrastructure Development and Economic Developmentmentioning

confidence: 99%

Belt and Road Initiative of China: Economic Potential for Partner Countries

Yusufzada

Xia

Noorzad

2022

SSSH

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As a megaproject, Belt and Road Initiative (BRI) has a vital role in the economic development, strategic policies and social development of member countries. This study investigates the potential of BRI on the economic development of member countries. A qualitative approach, particularly desk review, has been adapted. This study focuses on key economic development issues like the geographical importance of economic corridors, geographical coverage, the implication for manufacturing industries, markets, infrastructures, stimulating trade, regional connectivity, and internationalization of Chinese currency. The study reveals that BRI considerably impacts all the elements of economic development. The BRI has already started contributing to partner countries’ mainstream economies. Some challenges remain in its implementation stages, such as funding, time of accomplishment, geography and topography, geopolitical barriers, and security issues. This study recommends a periodical assessment of the challenging problems in the context of member countries to gain full advantages of the BRI.

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Section: Infrastructure Development and Economic Developmentmentioning

confidence: 99%

Belt and Road Initiative of China: Economic Potential for Partner Countries

Yusufzada

Xia

Noorzad

2022

SSSH

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“…The most commonly used definition of slum is by the United Nations Human Settlements Programme (UN-HABITAT): "a group of individuals that live under the same roof that lack one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living space, durability of housing, and secure tenure" (UN-HABITAT, 2003). The Bangladesh Slum Areas and Floating Population census in 1997 defined slum to be a group of dense settlements with five and/or more households that normally develop very irregularly and haphazardly in unhygienic conditions and environments on government-or privateowned vacant land (Barua et al, 2016;Kamruzzaman et al, 2020). Slums can also exist in owner-based household locations.…”

Section: Defining Slum and Non-slummentioning

confidence: 99%

Assessing vulnerability for inhabitants of Dhaka City considering flood-hazard exposure

et al. 2020

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Global flood hazard is gradually increasing. Though it is impossible to avoid them, losses and damage of hazards (e.g., floods, cyclones, and earthquakes) could be efficiently reduced by reducing household vulnerability with appropriate measures. This study aims to quantitatively measure the household vulnerability of flood hazards as a mitigation tool. It also proposed a unique approach to quantify flood-hazard household vulnerability, and shows its application in the flood prone city of Dhaka as an example case. Data were collected from both slum and non-slum areas to cover the entire urban habitat, and to compare their level of flood vulnerability. A total of 300 households were surveyed by structured questionnaire on the basis of five factors (economic, social, environmental, structural, and institutional) of flood vulnerability. The analytical hierarchy process (AHP) was applied to measure individual household vulnerability scores by using the relative weightage of variables and indicators with proper standardisation. Analytical results demonstrated that 63.06% slum and 20.02% non-slum households were highly vulnerable to floods. In addition, this paper determined and assessed responsible factors for household flood vulnerability in Dhaka. For structural vulnerability, results exhibited that 82% of slum households were highly vulnerable, and 95.3% of non-slum households were moderately vulnerable. Socially, 67.3% of slum and 78.7% of non-slum households were moderately and low-vulnerable. The majority of slum and non-slum households (84% and 59.3%, respectively) showed high and moderate vulnerability with respect to economic vulnerability. Moreover, 69.3% of slum and 65.3% of nonslum household institutional vulnerability levels were high. Of slum inhabitants, 63.3% were environmentally at high risk, and 78% of non-slum habitats were in the low-vulnerability category. However, as an effective tool to measure location-specific vulnerability, it is applicable for the measuring vulnerability of other cities in the world with proper customisation. On the basis of this study, future research could be conducted with more factors, variables, and indicators of human vulnerability to natural or artificial hazards/disasters. Future work may provide a better reflection of the vulnerability status of single/multiple hazard(s)/disaster(s).

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“…With the advancement of water conservancy informatization, the field of emergency management for water diversion project has accumulated a vast array of document-based emergency plans. These plans exhibit characteristics such as significant scale, diverse structures, and an abundance of professional terminology [ 2 , 3 ]. Currently, emergency decision-makers are still required to manually peruse and search for document-based emergency plans when formulating emergency strategies for unforeseen events.…”

Section: Introductionmentioning

confidence: 99%

Emergency entity relationship extraction for water diversion project based on pre-trained model and multi-featured graph convolutional network

Wang,

Liu,

Liu

et al. 2023

PLoS ONE

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Using information technology to extract emergency decision-making knowledge from emergency plan documents is an essential means to enhance the efficiency and capacity of emergency management. To address the problems of numerous terminologies and complex relationships faced by emergency knowledge extraction of water diversion project, a multi-feature graph convolutional network (PTM-MFGCN) based on pre-trained model is proposed. Initially, through the utilization of random masking of domain-specific terminologies during pre-training, the model’s comprehension of the meaning and application of such terminologies within specific fields is enhanced, thereby augmenting the network’s proficiency in extracting professional terminologies. Furthermore, by introducing a multi-feature adjacency matrix to capture a broader range of neighboring node information, thereby enhancing the network’s ability to handle complex relationships. Lastly, we utilize the PTM-MFGCN to achieve the extraction of emergency entity relationships in water diversion project, thus constructing a knowledge graph for water diversion emergency management. The experimental results demonstrate that PTM-MFGCN exhibits improvements of 2.84% in accuracy, 4.87% in recall, and 5.18% in F1 score, compared to the baseline model. Relevant studies can effectively enhance the efficiency and capability of emergency management, mitigating the impact of unforeseen events on engineering safety.

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Water Resource Evaluation and Identifying Groundwater Potential Zones in Arid area using Remote Sensing and Geographic Information System

Abstract: This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license.

Cited by 16 publications

References 34 publications

Belt and Road Initiative of China: Economic Potential for Partner Countries

Belt and Road Initiative of China: Economic Potential for Partner Countries

Assessing vulnerability for inhabitants of Dhaka City considering flood-hazard exposure

Emergency entity relationship extraction for water diversion project based on pre-trained model and multi-featured graph convolutional network

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