Multiple drought indices and their teleconnections with ENSO in various spatiotemporal scales over the Mekong River Basin

Nguyen, Thi-Thu-Ha; Li, Ming Hsu; Vu, Tue M.; Chen, Pei-Yuan

doi:10.1016/j.scitotenv.2022.158589

Cited by 19 publications

(3 citation statements)

References 58 publications

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“…The prediction of meteorological drought occurrence and development is of great significance for implementing drought mitigation measures and ensuring the sustainable development of water resources and ecosystems in the LMRB [33]. The ENSO phenomenon is the most important predictable source of drought in many areas worldwide, characterized by its stable cycle and strong persistence [52]. Our results also indicate that the meteorological drought in the LMRB is most sensitive to the ENSO, showing synchronicity.…”

Section: Discussionmentioning

confidence: 55%

Teleconnections of Atmospheric Circulations to Meteorological Drought in the Lancang-Mekong River Basin

Fan,

Wang,

Cao

et al. 2024

Atmosphere

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The Lancang-Mekong River Basin (LMRB) is one of the major transboundary basins globally, facing ongoing challenges due to flood and drought disasters. Particularly in the past two decades, the basin has experienced an increased frequency of meteorological drought events, posing serious threats to the local socio-economic structures and ecological systems. Thus, this study aimed to analyze the meteorological drought characteristics in the LMRB and identify the impact and correlation of atmospheric circulation on the meteorological drought in the basin. Specifically, the different levels of meteorological drought events were defined using the Run Theory based on the seasonal and annual SPEI from 1980 to 2018. The time lag correlation between meteorological drought events and the EI Nino-Southern Oscillation (ENSO), Arctic Oscillation (AO), North Atlantic Oscillation (NAO), and Pacific Decadal Oscillation (PDO), were analyzed in the LMRB. Our results indicated that, from a temporal perspective, the period from November to April of the following year was particularly prone to meteorological droughts in the basin. In terms of spatial distribution, the primary agricultural regions within the basin, including Thailand, Eastern Cambodia, and Vietnam, were highly susceptible to meteorological droughts. Further analysis revealed a teleconnection between drought events in the LMRB and atmospheric circulation factors. The sensitivity of the basin’s drought timing to its response decreased in the order of the ENSO > AO > NAO > PDO. In general, the ENSO had the most substantial influence on drought events in the basin, with the strongest response relationship, while the upper reaches of the basin displayed the most significant response to the AO; the occurrence and progression of meteorological droughts in this area synchronized with the AO. These findings enhance our understanding of drought-prone areas in the LMRB, including the meteorological factors and driving mechanisms involved. This information is valuable for effectively mitigating and managing drought risks in the region.

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Section: Discussionmentioning

confidence: 55%

Teleconnections of Atmospheric Circulations to Meteorological Drought in the Lancang-Mekong River Basin

Fan,

Wang,

Cao

et al. 2024

Atmosphere

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“…These data have been applied for the MRB's studies in [37] and [35]. All gridded data set are re-gridded to match with the MRB's meteorological station locations by using the bilinear interpolation method, which has found successful applications in [9], [38], and [39]. Daily streamflow and water level data at seven hydrological stations (i.e., Chiang Saen (CS), Luang Prabang (LP), Nong Khai (NK), Nakhon Phanom (NP), Mukdahan (Muk), Pakse (Pak), Kratie (Kra)) were collected from a data portal of the Mekong River Commission (MRC) during the period of 1979-2019.…”

Section: Study Area and Datamentioning

confidence: 99%

Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks

Nguyen

et al. 2023

IEEE Access

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“…Under the context of global warming, droughts are becoming frequent and severe in the region. For example, droughts in 1997-1998, 2003-2005, 2009-2010, 2015-2016, and 2019-2020 caused severe impacts on agricultural production [1,[44][45][46]. Former studies of droughts over the GMS mainly involved meteorological and hydrological droughts [1,[47][48][49].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of Cropland Exposure to Agricultural Drought in the Greater Mekong Subregion

Ming,

Luo,

Luo

et al. 2023

Remote Sensing

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Accurate and reliable information on the spatiotemporal characteristics of agricultural drought is important in understanding complicated drought processes and their potential impacts. We proposed an integrated approach for detecting agricultural droughts and their cropland exposure using remote sensing data over the Greater Mekong Subregion (GMS) collected from 2001 to 2020. The soil moisture (SM) dataset (0.05°) was first reconstructed based on an ESACCI SM dataset using a random forest (RF) model. Subsequently, the standardized soil moisture index (SSMI) was used to identify the agricultural droughts by a three-dimensional (latitude-longitude-time) identification method. In addition, the cropland’s exposure to agricultural droughts was evaluated. Results showed that: (1) the reconstructed SM data achieved spatial continuity and improved spatial resolution. The verified consequences showed that the reconstructed SM data agreed well with the in situ SM data. Additionally, the SSMI based on reconstructed SM had good correlations with the standardized precipitation evapotranspiration index (SPEI) calculated from station observations. (2) Twenty agricultural drought events lasting at least 3 months were identified over the GMS region. The averaged durations, areas, and severity were 7 months, 9 × 105 km2, and 45.6 × 105 month·km2, respectively. The four worst drought events ranked by severity were the 2019–2020 event, the 2015–2016 event, the 2009–2010 event, and the 2004–2005 event. (3) Based on the 20 identified agricultural drought events, cropland exposure was high in Myanmar, Thailand, and Cambodia. On average, the cropland exposure over the GMS was 1.71 × 105 km2, which accounts for 34% of the total cropland. Notably, the four severest drought events swept over 80% of the total cropland area. This study enriched our understanding of the development process of agricultural droughts from a space-time perspective, which was pivotal for assessing drought impacts and managing agricultural water resources.

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Multiple drought indices and their teleconnections with ENSO in various spatiotemporal scales over the Mekong River Basin

Cited by 19 publications

References 58 publications

Teleconnections of Atmospheric Circulations to Meteorological Drought in the Lancang-Mekong River Basin

Teleconnections of Atmospheric Circulations to Meteorological Drought in the Lancang-Mekong River Basin

Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks

Quantitative Assessment of Cropland Exposure to Agricultural Drought in the Greater Mekong Subregion

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