Sustainable Urban Water Management: Application for Integrated Assessment in Southeast Asia

Jalilov, Shokhrukh–Mirzo; Kefi, Mohamed; Kumar, Pankaj; Masago, Yoshifumi; Mishra, Binaya Kumar

doi:10.3390/su10010122

Cited by 26 publications

(15 citation statements)

References 42 publications

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“…Increasing such surfaces surges the wastewater and stormwater effluents. If such effluent is directed to streams without proper treatment, both humans and aquatic lives are at risk [109,110]. Authors in [111] performed water quality modeling of the Ravi River in their study.…”

Section: Discussionmentioning

confidence: 99%

Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier

2021

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Urbanization increases the amount of impervious surfaces, making accurate information on spatial and temporal expansion trends essential; the challenge is to develop a cost- and labor-effective technique that is compatible with the assessment of multiple geographical locations in developing countries. Several studies have identified the potential of remote sensing and multiple source information in impervious surface quantification. Therefore, this study aims to fuse datasets from the Sentinel 1 and 2 Satellites to map the impervious surfaces of nine Pakistani cities and estimate their growth rates from 2016 to 2020 utilizing the random forest algorithm. All bands in the optical and radar images were resampled to 10 m resolution, projected to same coordinate system and geometrically aligned to stack into a single product. The models were then trained, and classifications were validated with land cover samples from Google Earth’s high-resolution images. Overall accuracies of classified maps ranged from 85% to 98% with the resultant quantities showing a strong linear relationship (R-squared value of 0.998) with the Copernicus Global Land Services data. There was up to 9% increase in accuracy and up to 12 % increase in kappa coefficient from the fused data with respect to optical alone. A McNemar test confirmed the superiority of fused data. Finally, the cities had growth rates ranging from 0.5% to 2.5%, with an average of 1.8%. The information obtained can alert urban planners and environmentalists to assess impervious surface impacts in the cities.

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Section: Discussionmentioning

confidence: 99%

Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier

2021

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“…Only a few of the publications focusing on flood modeling and hard adaptation measures consider future urbanization or sociodemographic changes and their impacts as drivers of flood risk. While some incorporate future changes in land use (Budiyono et al, 2016;Fajar Januriyadi et al, 2018;Latief et al, 2018;Mishra et al, 2018;Rafiei Emam et al, 2016;Riyando Moe et al, 2017;Jalilov et al, 2018;Sutrisno, 2011;Takagi et al, 2016b;Vollmer et al, 2015Vollmer et al, , 2016Ward et al, , 2013c, no study in the sample considers future changes in exposure due to, e.g., population growth or urban development. Similarly, the publications on hard flood protection measures mostly neglect future climatic, demographic, socio-economic and land-use changes when assessing the effectiveness of existing or suggested infrastructural measures for flood protection.…”

Section: Discussionmentioning

confidence: 99%

Mapping the adaptation solution space – lessons from Jakarta for other coastal cities

Wannewitz

Garschagen

2020

Preprint

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Abstract. Coastal cities are under increasing pressure to adapt to climate change. They suffer from the severe effects of increased frequencies and intensities of coastal hazards, particularly flooding, whilst oftentimes continuing to sprawl into hazard exposed areas and grow beyond the pace of sufficient infrastructure development. Even though these problems have been quite well understood for a while, there is still comparatively little knowledge on the solution space, i.e. on the options available for adaptation and the ways in which they are being perceived, framed and evaluated. Focusing on Jakarta as one of the cities with the highest flood risk and adaptation pressure globally, this study presents findings from a systematic review of scientific English literature on mitigation options and the adaptation solution space to counter the city’s chronic flood problem. Results indicate that the perceived solution space is skewed towards protection against flooding, while soft adaptation options as well as measures to live with flooding or retreat from exposed areas are less widely considered. This appears to not only stem from the government’s traditional preference for engineered flood protection measures but also from a bias of scientific analyses towards focusing on understanding the hazard and analyzing engineered flood protection measures, while giving much less attention to soft adaptation options and community-led adaptation focusing among others on social and natural capital, empowerment and capacity building. Similarly, hybrid adaptation approaches, which combine soft and hard measures in a complementary way, are only rarely considered. Looking into the future, the findings suggest that a more integrative scientific approach would be helpful to populate and balance the considered solution space. Jakarta is one of the most heavily researched coastal cities worldwide and lessons from Jakarta are hence of global reach and importance. Future science on the city can play a significant role in piloting new approaches on the pressing frontiers in adaptation research. But increased attention is needed on current epistemic gaps.

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“…Water conservation programs were also shown effective in reducing water demand in residential sectors, providing up to 14% of reduction in household water demand [27]. Development of alternative water sources-such as reclamation of domestic and industrial wastewater [7,28], desalination of seawater [29], green infrastructure of rainwater catchment [5], and reuse of irrigation return water [30]-were considered to increase the water-supply potential. However, these water sources might consequently increase the overall energy demand in the water supply system [3,6].…”

Section: Leakage Rate Reduction For Agricultural Irrigation Canals C2mentioning

confidence: 99%

Water–Energy Nexus for Multi-Criteria Decision Making in Water Resource Management: A Case Study of Choshui River Basin in Taiwan

Lee

Chiang

et al. 2018

Water

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The Choshui river basin, the mother river in Taiwan, suffers from severe water shortage from extensive water use in irrigation as well as land subsidence from over-pumping of groundwater. To address these challenges, several water-related strategies and actions, including enhancement of water-use efficiency, development of alternative water sources, and improvement in effective water management, were proposed in this study to support sustainable water resource management in the watershed. Management of water resources in Taiwan is expected to confront not only freshwater resource but also energy source constraints. Multi-criteria decision analysis (MCDA), an approach for ranking overall performances of decision options, was then used to prioritize the water resource management strategies. The analysis considered economic (economic feasibility) and environmental (stability from the influence of climate change) criteria in the context of water-energy nexus (water supply/conservation potential and systemic energy efficiency). Our results indicated that, while economic feasibility was considered as the most important factor in implementation of the practices, improvement in groundwater pumping control and management was ranked as a high-priority water resource management action, followed by initiating water conservation programs for residential sector and reducing leakage rate for agricultural irrigation canals. The results from this study are expected to provide direction for future decision making in water resource management.

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Sustainable Urban Water Management: Application for Integrated Assessment in Southeast Asia

Cited by 26 publications

References 42 publications

Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier

Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier

Mapping the adaptation solution space – lessons from Jakarta for other coastal cities

Water–Energy Nexus for Multi-Criteria Decision Making in Water Resource Management: A Case Study of Choshui River Basin in Taiwan

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