Community engagement for irrigation water management in Lao PDR

Kuntiyawichai, Kittiwet; Dau, Quan V.; Inthavong, Saengdavanh

doi:10.1515/jwld-2017-0075

Cited by 8 publications

(8 citation statements)

References 3 publications

(1 reference statement)

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“…For Table 1 , students’ responses were analyzed using Mean and Standard Deviation and interpreted using Mean Score interpretation scale 1.00 – 1.79 Very Low; 1.80 – 2.59 Low; 2.60 – 3.39 Moderate; 3.40 – 4.19 High; 4.20 – 5.00 Very High adopted from Kuntiyawichai et al. [14] and Kitjaroonchai [13] .…”

Section: Data Descriptionmentioning

confidence: 99%

Survey data assessing the junior high school students’ learning attitudes toward home-based education amidst the Covid-19 pandemic

Abirin

2023

Data in Brief

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Section: Data Descriptionmentioning

confidence: 99%

Survey data assessing the junior high school students’ learning attitudes toward home-based education amidst the Covid-19 pandemic

Abirin

2023

Data in Brief

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“…Is there public support and participation? Is the strategy likely to be accepted and embraced by residents, businesses, and other stakeholders [71,72] By evaluating water management strategies against these common criteria, smart cities can make well-informed decisions that lead to sustainable, efficient, and resilient water management practices [76,77].…”

Section: Key Criteria For Evaluating Water Management Strategies In S...mentioning

confidence: 99%

Optimal Water Management Strategies: Paving the Way for Sustainability in Smart Cities

Bouramdane

2023

Smart Cities

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Global urbanization and increasing water demand make efficient water resource management crucial. This study employs Multi-Criteria Decision Making (MCDM) to evaluate smart city water management strategies. We use representative criteria, employ objective judgment, assign weights through the Analytic Hierarchy Process (AHP), and score strategies based on meeting these criteria. We find that the “Effectiveness and Risk Management” criterion carries the highest weight (15.28%), underscoring its pivotal role in strategy evaluation and robustness. Medium-weight criteria include “Resource Efficiency, Equity, and Social Considerations” (10.44%), “Integration with Existing Systems, Technological Feasibility, and Ease of Implementation” (10.10%), and “Environmental Impact” (9.84%) for ecological mitigation. “Community Engagement and Public Acceptance” (9.79%) recognizes involvement, while “Scalability and Adaptability” (9.35%) addresses changing conditions. “Return on Investment” (9.07%) and “Regulatory and Policy Alignment” (8.8%) balance financial and governance concerns. Two low-weight criteria, “Data Reliability” (8.78%) and “Long-Term Sustainability” (8.55%), stress data accuracy and sustainability. Highly weighted strategies like “Smart Metering and Monitoring, Demand Management, Behavior Change” and “Smart Irrigation Systems” are particularly effective in improving water management in smart cities. However, medium-weighted (e.g., “Educational Campaigns and Public Awareness”, “Policy and Regulation”, “Rainwater Harvesting”, “Offshore Floating Photovoltaic Systems”, “Collaboration and Partnerships”, “Graywater Recycling and Reuse”, and “Distributed Water Infrastructure”) and low-weighted (e.g., “Water Desalination”) strategies also contribute and can be combined with higher-ranked ones to create customized water management approaches for each smart city’s unique context. This research is significant because it addresses urban water resource management complexity, offers a multi-criteria approach to enhance traditional single-focused methods, evaluates water strategies in smart cities comprehensively, and provides a criteria-weight-based resource allocation framework for sustainable decisions, boosting smart city resilience. Note that results may vary based on specific smart city needs and constraints. Future studies could explore factors like climate change on water management in smart cities and consider alternative MCDM methods like TOPSIS or ELECTRE for strategy evaluation.

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“…The community commitment to sustainable water resources management is crucial in water security. The people are willing to participate and cooperate in supporting activities that can improve water management to tackle the scarcity of water [KUNTIYAWICHAI et al 2017]. The main factors that could limit the future food production is water, improper utilization of water for agriculture in the face of water scarcity which could lead to low food production [ROSEGRANT et al 2002].…”

Section: Usage Of Available Water In the Study Areamentioning

confidence: 99%

Effect of water scarcity on households’ livelihoods in Iwoye-Ketu Area of Ogun State, Nigeria

Aromolaran

Ademiluyi

Sotola

et al. 2019

Journal of Water and Land Development

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Water is an essential commodity which affects life and livelihoods in the universe. This study examined perceived effect of water scarcity on livelihoods in Iwoye-Ketu, Ogun State. Random sampling was used to select 80 rural households and water samples for the study. Data collected were analysed using descriptive, inferential and laboratory analyses. Findings showed that the mean age of respondents was 38 years with an average household size of four persons. The major sources of water were boreholes (97.5%) and rainwater (90.0%), the average trekking time to the water source was 24 minutes and the households requires an average of 162 litres of water per day. Water analysis’ result showed that the water has pH (6.87), total dissolved solids (0.175 mg∙dm−3), temperature (29.9°C) and turbidity (0.6 FTU). The major causes of water scarcity include insufficient rainfall (97.5%), increased sunlight intensity (97.5%), pollution of water sources (95.0%) and increased population (93.8%). About 60% of them perceived water scarcity to have a negative effect on their livelihoods. Correlation analysis shows that there is a significant relationship between usage of water (r = 0.370, p < 0.01) and perceived effect of water scarcity. It was concluded that water available for household use is not sufficient, although it is safe but contain some elements which are not of World Health Organization standard for good potable water. It is recommended that the community should build a hub for water collection and distribution close to the village centre and the government should provide water infrastructures to increase the supply of potable water.

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Community engagement for irrigation water management in Lao PDR

Cited by 8 publications

References 3 publications

Survey data assessing the junior high school students’ learning attitudes toward home-based education amidst the Covid-19 pandemic

Survey data assessing the junior high school students’ learning attitudes toward home-based education amidst the Covid-19 pandemic

Optimal Water Management Strategies: Paving the Way for Sustainability in Smart Cities

Effect of water scarcity on households’ livelihoods in Iwoye-Ketu Area of Ogun State, Nigeria

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