Flood frequency analysis of river Jhelum in Kashmir basin

Bhat, M. Sultan; Alam, Akhtar; Ahmad, Bashir; Kotlia, Bahadur Singh; Farooq, Hakim; Taloor, Ajay Kumar; Ahmad, Shabir

doi:10.1016/j.quaint.2018.09.039

Cited by 140 publications

(63 citation statements)

References 25 publications

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“…Given the statistical basis of flood frequency estimates, this will lead to inappropriate choice of the extreme value probability distributions and to inaccurate estimation of its parameters (Archer, Leesch, & Harwood, 2007;Claps & Laio, 2003;Cunnane, 1985). Nevertheless, in many cases in practice, FFA is carried out on relatively short data records, which typically do not exceed 50 years, rarely reach 100 years, and often are limited to 20-30 years (Bhat et al, 2018;Opere, Mkhandi, & Willems, 2006;Villarini, Smith, Serinaldi, Ntelekos, & Schwarz, 2012). Relatively short records may be applicable in low-flow design, but are far from the requirements for high-flow design (typically over 100 years) (Tallaksen, 2000).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States

Nikolopoulos

Marra

et al. 2019

J Flood Risk Management

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Section: Introductionmentioning

confidence: 99%

Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States

Nikolopoulos

Marra

et al. 2019

J Flood Risk Management

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“…Moreover, the continued decline of agriculture land may have serious impact on self-sufficiency and food security scenario of the Kashmir valley. Likewise, uncontrolled housing expansion has resulted in exposure of the communities to various natural hazards (e.g., Alam et al 2018;Bhat et al 2018Bhat et al , 2019a. The tremendous unplanned settlement expansion in some areas poses a serious threat from flood (low-lying flood prone) and seismic hazards (areas with soils having high liquefaction potential).…”

Section: Shrubsmentioning

confidence: 99%

Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley

2019

Self Cite

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Land use and land cover (LULC) change has been one of the most immense and perceptible transformations of the earth's surface. Evaluating LULC change at varied spatial scales is imperative in wide range of perspectives such as environmental conservation, resource management, land use planning, and sustainable development. This work aims to examine the land use and land cover changes in the Kashmir valley between the time periods from 1992-2001-2015 using a set of compatible moderate resolution Landsat satellite imageries. Supervised approach with maximum likelihood classifier was adopted for the classification and generation of LULC maps for the selected time periods. Results reveal that there have been substantial changes in the land use and cover during the chosen time periods. In general, three land use and land cover change patterns were observed in the study area: (1) consistent increase of the area under marshy, built-up, barren, plantation, and shrubs; (2) continuous decrease in agriculture and water; (3) decrease (1992-2001) and increase (2001-2015) in forest and pasture classes. In terms of the area under each LULC category, most significant changes have been observed in agriculture (-), plantation (?), builtup (?), and water (-); however, with reference to percent change within each class, the maximum variability was recorded in built-up (198.45%), plantation (87.98%), pasture (-71%), water (-48%) and agriculture (-28.85%). The massive land transformation is largely driven by anthropogenic actions and has been mostly adverse in nature, giving rise to multiple environmental issues in the ecologically sensitive Kashmir valley.

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“…To analyze the extreme values of different return periods 10, 20, 50, and 100-years using observed maximum historical discharge, a variety of methods can be applied, i.e. Log-Pearson type III, Log-Normal, Normal, and Gumbel's distribution (Tanaka et al, 2017;Farooq et al, 2018;Bhat et al, 2019). Moreover, the estimation of peak discharge is an important step for selecting flood events and different return periods to input model processing.…”

Section: Flood Frequency Analysismentioning

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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Flood frequency analysis of river Jhelum in Kashmir basin

Cited by 140 publications

References 25 publications

Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States

Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States

Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley

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

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