Hydrological assessment of basin development scenarios: Impacts on the Tonle Sap Lake in Cambodia

Wang, Yu; Kim, Yeonsu; Lee, Daeeop; Lee, Giha

doi:10.1016/j.quaint.2018.09.023

Cited by 17 publications

(16 citation statements)

References 19 publications

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“…It has obviously shown in Table 2 that most of the RS data have been used in flood risk assessment. Several researchers including Tangdamrongsub et al (2016), Kim et al (2019), and Yu et al (2019) attempted to explore the different tools and techniques for flood risk in Tonle Sap. Tangdamrongsub et al (2016) use the satellite observation including GRACE, MODIS, and TRMM to identify the flood and water storage by applying the PCR-CLOBWB hydrological model.…”

Section: Flood Risk Assessmentmentioning

confidence: 99%

“…However, the high resolution of satellite images is still encouraged. Furthermore, Yu et al (2019) has been used Rainfall Runoff Inundation (RRI) model to study hydrological impacts by using MODIS, DEM, and observed rainfall data. The use of the RRI model combined with DEM provides acceptable flooding areas by comparing with the MODIS observed flood map.…”

Section: Flood Risk Assessmentmentioning

confidence: 99%

“…S-Band Doppler weather radar meteor 650C, which has a range of 450 km located in Phnom Penh was not used in any flood analysis over Cambodia. (Hazarika et al, 2007;Kim et al, 2020;Liu et al, 2019;Ly et al, 2018;Son et al, 2019;Try et al, 2019) Flood (Kim et al, 2019;Mohammed et al, 2018;Sakamoto et al, 2007;Siev et al, 2016;Tangdamrongsub et al, 2016;Vichet et al, 2019;Yu et al, 2019) Flood damage assessment DEM * Landsat-8 * UNOSAT * RRI (Chung et al, 2019) * is number of studies have been used…”

Section: Gaps Of Flood Analysis Under Rs Perspectivementioning

confidence: 99%

See 2 more Smart Citations

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Koem¹,

Tantanee²

2020

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Section: Flood Risk Assessmentmentioning

confidence: 99%

Section: Flood Risk Assessmentmentioning

confidence: 99%

Section: Gaps Of Flood Analysis Under Rs Perspectivementioning

confidence: 99%

See 1 more Smart Citation

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Koem¹,

Tantanee²

2020

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“…We assumed the minimum lake area as the inner lake (i.e., 2600 km 2 ). After the application of IFCS into Tonle Sap Lake, the water level difference is 8.5 m (from 1.5 m to 10.0 m) in the inner lake resulting in the total flood control capacity being increased by 22.1 km 3 (= 8.5 m × 2600 km 2 ), which is 27.6% of the total storage (80 km 3 , Yu (2019) [25]). For the Poyang Lake, the surface area ranges from 714 to 3164 km 2 during 2001-2010 [26].…”

Section: The Feasibility Analysis Of the Ifcs For Other Large Lakesmentioning

confidence: 99%

Flood Mitigation Using an Innovative Flood Control Scheme in a Large Lake: Dongting Lake, China

et al. 2019

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A large lake plays an important role in mitigating flood disasters in its nearby regions during the flooding period; however, the effect is limited, because most of its storage capacity becomes dead storage prior to the arrival of the flood wave. In the current study, an innovative flood control scheme (IFCS) is applied to Dongting Lake (the second largest freshwater lake in China) to alleviate flood disasters. MIKE 21 FM was used to examine its feasibility to mitigate flood disasters. One of the largest floods in the 20th century, the 1998-type flood, was modelled and the maximum water levels with/without IFCS were compared. The result shows that the effective flood control storage could be at least doubled when compared with the natural condition once IFCS was applied. The peak flood level in the Dongting Lake could be lowered by at least 0.32 m at the Chenglingji station in the same flood passage of Dongting Lake. The case study reveals that, after applying IFCS, the hydraulic gates play a very important role in floodwater regulation and further study should be conducted to find the optimized operation for each gate in the flood control scheme system.

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“…Mochizuki et al (2015), who study the assessment of the natural disaster of flood and cyclone risks to public and private buildings including educational structures, health facilities, and housing, estimates that the total direct economic damage ranges from approximately 304 million US dollars for a 5-year return period event, to 2.26 billion US dollars for a 1000-year return period event. Furthermore, the annual records by the National Committee of Disaster Management of Cambodia (1996 to 2018) as well as (Yu et al, 2019) review of CRED, 2014, showed that extreme flooding from the Mekong River mostly affected the country in 1978, 1991, 1994, 1996, 2000-2002, 2011, and 2013. Likewise, Cambodia Disaster and Risk Profile (EM-DAT) 2017, who study floods caused by drought and storm based on frequency, mortality and economic issues, observe that flooding induced more complicated impact than drought and storm (CRED, 2019).…”

Section: Introductionmentioning

confidence: 99%

Gis-Based Flood Hazard Mapping Using Hec-Ras Model: A Case Study of Lower Mekong River, Cambodia

Kim¹,

Tantanee²,

Suparta³

2020

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Rivers are the main water sources for human and animals' lives. Unfortunately, they have been frequently damaged by flooding. Flooding has affected and threatened not only human's lives and infrastructures but also the environmental capital. This study aims to determine the application of flood frequency analysis integrated with the GIS and HEC-RAS models to prepare a multi-return period flood hazard map in the Lower Mekong River of Cambodia. A 30-year peak discharge (Kampong Cham gauging station) with a multireturn period of 10, 20, 50, and 100-years was estimated by using four distributions analysis. An EasyFit software is used to test the best distribution for the input of the HEC-RAS model to prepare the estimation of the corresponding floodplain areas. The results showed that Log-Pearson III distribution analysis of the return period of 10, 20, 50, 100 years is the best fits with the 52,208 m 3 /s, 54,990 m 3 /s, 59,381 m 3 /s, and 62,194 m 3 /s, respectively. The HEC-RAS calibration indicated a good agreement with observed data discharge 2011 and 2013. While the simulation model shows the return period of floods 10 and 20 years for the predicted depth of flooding is stable compared to the flood peaks of 2011 and 2013 discharges, but the conditions of other flood return periods are not stable. Overall, HEC-RAS with its flood hazard map is a model that can estimate the level of flood depth in the Lower Mekong River, Cambodia and is useful in providing information about the depth and characteristics of floods for river communities.

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Hydrological assessment of basin development scenarios: Impacts on the Tonle Sap Lake in Cambodia

Cited by 17 publications

References 19 publications

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Flood Mitigation Using an Innovative Flood Control Scheme in a Large Lake: Dongting Lake, China

Gis-Based Flood Hazard Mapping Using Hec-Ras Model: A Case Study of Lower Mekong River, Cambodia

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