SouthEast Asia HydrO-meteorological droughT (SEA-HOT) framework: A case study in the Kelantan River Basin, Malaysia

2020 ◽  
Vol 246 ◽  
pp. 105155 ◽  
Author(s):  
Mou Leong Tan ◽  
Liew Juneng ◽  
Fredolin T. Tangang ◽  
Narimah Samat ◽  
Ngai Weng Chan ◽  
...  
Keyword(s):  
Southeast Asia ◽  
River Basin ◽  
Meteorological Drought ◽  
Kelantan River Basin

scholarly journals Searching for the optimal drought index and time scale combination to detect drought: a case study from the lower Jinsha River Basin, China

2017 ◽  
Author(s):  
Javier Fluixá-Sanmartín ◽  
Deng Pan ◽  
Luzia Fischer ◽  
Boris Orlowsky ◽  
Javier García-Hernández ◽  
...  
Keyword(s):  
River Basin ◽  
Time Scale ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Rainfall Anomaly ◽  
Drought Indices ◽  
Jinsha River ◽  
Basin Scale ◽  
Hydrological System

Abstract. Drought indices based on precipitation are commonly used to identify and characterize droughts. Due to the general complexity of droughts, comparison of index-identified events with droughts rely typically on model simulations of the complete hydrological system (e.g., soil humidity or river discharges), entailing potentially significant uncertainties. The present study explores the potential of using precipitation based indices to reproduce observed droughts in the lower part of the Jinsha River Basin, proposing an innovative approach for a catchment-wide drought detection and characterization. Two new indicators, namely the Overall Drought Extension (ODE) and the Overall Drought Intensity (ODI), have been developed. These indicators aim at identifying and characterizing drought events at basin scale, using results from four meteorological drought indices (Standardized Precipitation Index, SPI; Rainfall Anomaly Index, RAI; Percent of Normal precipitation, PN; Deciles, DEC) calculated at different locations of the basin and for different time scales. Collected historical information on drought events is used to contrast results obtained with the indicators. This method has been successfully applied to the lower Jinsha River Basin, in China, a region prone to frequent and severe droughts. Historical drought events occurred from 1960 to 2014 have been compiled and catalogued from different sources, in a challenging process. The analysis of the newly developed indicators shows a good agreement with the recorded historical drought at basin scale. It has been found that the combinations of index and time scale that best reproduces observed events are the SPI-12 and PN-12 for long droughts (1 year or more) and the RAI-6, PN-6 and DEC-6 for shorter or more consecutive events.

Tracing Non-point Source Sediment Using Environmental Forensic Approach: Case Study in Kelantan River Basin, Malaysia

2021 ◽  
pp. 173-185
Author(s):  
Dhinesh Sugumaran ◽  
Kogila Vani Annammala ◽  
Abdull Rahim Mohd Yusoff ◽  
Zulkifli Yusop ◽  
Nur Athirah Mohamad ◽  
...  
Keyword(s):  
Point Source ◽  
River Basin ◽  
Kelantan River Basin

Monitoring meteorological drought in a semiarid region using two long-term satellite-estimated rainfall datasets: A case study of the Piranhas River basin, northeastern Brazil

2021 ◽  
Vol 250 ◽  
pp. 105380
Author(s):  
Célia Soares de Brito ◽  
Richarde Marques da Silva ◽  
Celso Augusto Guimarães Santos ◽  
Reginaldo Moura Brasil Neto ◽  
Victor Hugo Rabelo Coelho
Keyword(s):  
River Basin ◽  
Meteorological Drought ◽  
Northeastern Brazil ◽  
Semiarid Region

scholarly journals Effect of 2014 massive flood on well water qualities: A case study on Kelantan River basin, Malaysia

2018 ◽  
Vol 38 (1) ◽  
pp. 127-136 ◽  
Author(s):  
Hariz A. Ab. Rahman ◽  
Noor A. Ibrahim ◽  
Azzmer A. Abdul Hamid ◽  
Tengku H.T. Abdul Hamid
Keyword(s):  
River Basin ◽  
Microbial Contamination ◽  
Geographical Location ◽  
Chemical Parameters ◽  
Physico Chemical ◽  
The Status ◽  
Kelantan River Basin ◽  
Flood Period ◽  
Total Dissolved Solid

AbstractThe effect of physical and biological qualities of wells after submergence was assessed following December 2014 flood in Kelantan. Studies were carried out on a total of 65 wells from 13 stations around Kelantan River basin in which the wells’ water were sampled for pH, total dissolved solid (TDS), turbidity and microbial contamination. About 95% of the well showed to be contaminated, 7 out of 65 samples (11.1%) showed TDS values >400 μS·cm−1; and 19 samples (29.2%) recorded turbidity beyond 7.0 NTU. Statistical non-parametric tests carried out on independent groups showed that the status of well contamination was neither determined by both degree of submergence nor by the geographical location. Also the physico-chemical parameters are independent of flood inundation. However, TDS and turbidity values changed based on geographical location, at p < 0.05. Well from estuary recorded higher TDS (241.2 μS·cm−1 ±159.5 SD) and turbidity (8.04 NTU ± 6.53 SD) compared to those from inner basin (TDS at 156.3 μS·cm−1± 88.9 SD; turbidity at 2.90 NTU ± 2.46 SD), respectively. The flood water had played significant role in the transmission of existing contaminant, and most of the wells were unsafe for drinking. We concluded that the degree of flood submergence does not necessarily determine the severity of the well contamination in Kelantan, but the existing contamination may exacerbate further the potential risk during post flood period.

scholarly journals Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China

2018 ◽  
Vol 22 (1) ◽  
pp. 889-910 ◽  
Author(s):  
Javier Fluixá-Sanmartín ◽  
Deng Pan ◽  
Luzia Fischer ◽  
Boris Orlowsky ◽  
Javier García-Hernández ◽  
...  
Keyword(s):  
River Basin ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Rainfall Anomaly ◽  
Drought Indices ◽  
Jinsha River ◽  
Basin Scale ◽  
Different Sources ◽  
Good Agreement

Abstract. Drought indices based on precipitation are commonly used to identify and characterize droughts. Due to the general complexity of droughts, the comparison of index-identified events with droughts at different levels of the complete system, including soil humidity or river discharges, relies typically on model simulations of the latter, entailing potentially significant uncertainties. The present study explores the potential of using precipitation-based indices to reproduce observed droughts in the lower part of the Jinsha River basin (JRB), proposing an innovative approach for a catchment-wide drought detection and characterization. Two indicators, namely the Overall Drought Extension (ODE) and the Overall Drought Indicator (ODI), have been defined. These indicators aim at identifying and characterizing drought events on the basin scale, using results from four meteorological drought indices (standardized precipitation index, SPI; rainfall anomaly index, RAI; percent of normal precipitation, PN; deciles, DEC) calculated at different locations of the basin and for different timescales. Collected historical information on drought events is used to contrast results obtained with the indicators. This method has been successfully applied to the lower Jinsha River basin in China, a region prone to frequent and severe droughts. Historical drought events that occurred from 1960 to 2014 have been compiled and cataloged from different sources, in a challenging process. The analysis of the indicators shows a good agreement with the recorded historical drought events on the basin scale. It has been found that the timescale that best reproduces observed events across all the indices is the 6-month timescale.

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