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An Assessment of Nature-Based Solutions Water Infrastructure for Flood Risk Reduction in Unplanned Area
Maman Supratman, Muhammad Syahril Badri Kusuma, Muhammad Shofwan Donny Cahyono, Arno Adi Kuntoro. Civil Engineering Journal, 2025-05-01
Topic: Risk, prevention and care in population studies
This study aimed to investigate the effectiveness of the Brigif Reservoir as a pioneering nature-based infrastructure solution for mitigating flood risk in the Kemang area, a significant business district in South Jakarta, and to provide a potential raw water supply for city parks. We employed coupled HEC-HMS and HEC-RAS 1D2D unsteady flow models to analyze rainfall-runoff and flood regimes before and after basin intervention in a rainfall scenario from January 2020. The flood model demonstrated highly satisfactory performance on the calibration results, as evidenced by an NSE value of 0.93 on a scale of 0 to 1. Flood risk was defined using the flood hazard, vulnerability, and capacity indices, and ArcGIS and QGIS were used to prepare and visualize the output after the model performance was qualified. The study revealed that the Brigif Reservoir could reduce the peak discharge of the January 2020 flood in the Kemang area by 19% while decreasing the risk of high-level flooding by 12%. The Brigif Reservoir, as a Nature-Based Solution (NBS) infrastructure, retains approximately 250,000 m³ of flood discharge, which can be utilized by the local government for watering gardens and as potential raw water for residents because it meets the national surface water quality standards in dry conditions and requires additional treatment during the wet season. The potential for groundwater recharge was estimated to be approximately 250 m³ and 6000 m³ for one hour and one day, respectively. For future studies, it is recommended to develop non-structural actions, such as a flood early warning system incorporating machine learning that could potentially support the operational performance of the NBS infrastructure. This study proposes the implementation of a series of sustainable infrastructure solutions, including rooftop storage, underground storage, and underground retention systems, at the building scale within each sub-catchment to mitigate flood risk levels in the Kemang region from high to acceptable levels. The findings of this research will be of significant value to the Water Resources Agency in evaluating the potential application of NBS infrastructure for flood mitigation and adaptation strategies and programs in response to the impacts of global climate change. Doi: 10.28991/CEJ-2025-011-05-07 Full Text: PDF
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Supratman, M., Kusuma, M. S. B., Cahyono, M. S. D., & Kuntoro, A. A. (2025). An Assessment of Nature-Based Solutions Water Infrastructure for Flood Risk Reduction in Unplanned Area. Civil Engineering Journal. https://doi.org/10.28991/cej-2025-011-05-07
Vancouver
Supratman M, Kusuma MSB, Cahyono MSD, Kuntoro AA. An Assessment of Nature-Based Solutions Water Infrastructure for Flood Risk Reduction in Unplanned Area. Civil Engineering Journal. 2025. doi:10.28991/cej-2025-011-05-07.
BibTeX
@article{supratman2025-6ab9e193,
author = {Supratman, Maman and Kusuma, Muhammad Syahril Badri and Cahyono, Muhammad Shofwan Donny and Kuntoro, Arno Adi},
title = {{An Assessment of Nature-Based Solutions Water Infrastructure for Flood Risk Reduction in Unplanned Area}},
journal = {Civil Engineering Journal},
year = {2025},
doi = {10.28991/cej-2025-011-05-07},
url = {https://doi.org/10.28991/cej-2025-011-05-07}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- This study aimed to investigate the effectiveness of the Brigif Reservoir as a pioneering nature-based infrastructure solution for mitigating flood risk in the Kemang area, a significant business district in South Jakarta, and to provide a potential raw water supply for city parks.
- The flood model demonstrated highly satisfactory performance on the calibration results, as evidenced by an NSE value of 0.93 on a scale of 0 to 1.
- The study revealed that the Brigif Reservoir could reduce the peak discharge of the January 2020 flood in the Kemang area by 19% while decreasing the risk of high-level flooding by 12%.
- The findings of this research will be of significant value to the Water Resources Agency in evaluating the potential application of NBS infrastructure for flood mitigation and adaptation strategies and programs in response to the impacts of global climate change.
Why it matters
This study assesses a reservoir built to reduce flood risk in South Jakarta, not Alzheimer's disease. It found the reservoir could cut peak flood discharge and high-level flood risk and store water that meets national surface water quality standards in dry conditions.
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Study details
- Evidence strengthLow
How this study scored 37/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Civil Engineering Journal) |
| Journal's citation record | 0 / 4 | Civil Engineering Journal: journal h-index 55 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 3 / 7 | Cited 17 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 5.7 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 3 / 6 | Cited 7.4× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 2 / 4 | Cited 17 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Arno Adi Kuntoro: h-index 14 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Bandung Institute of Technology: institution h-index 196 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 2 / 2 | Free to read |
| Total | 37 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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