Trends in Long-Term Drought Changes in the Mekong River Delta of Vietnam

Dinh, Vi Tung; Su, Zhongbo

doi:10.3390/rs12182974

Cited by 24 publications

(8 citation statements)

References 44 publications

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“…However, recent studies have highlighted the annual peak flooded area and depth is decreasing (Nghia et al, 2022; Vu et al, 2022) (Figure 3). During the dry season, droughts are increasingly common, with saline intrusion transgressing upstream in coastal provinces and causing crop and freshwater‐based aquaculture damages (Binh, 2015; Kang et al, 2021; Loc, Lixian, et al, 2021; Pham et al, 2022; Phan et al, 2020).…”

Section: Setting the Scenementioning

confidence: 99%

Progress toward resilient and sustainable water management in the Vietnamese Mekong Delta

Trí

Yarina²,

Nguyen

et al. 2023

WIREs Water

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Sinking and shrinking, the Vietnamese Mekong Delta is a materialization of dynamic river flows, sediment flows, and coastline processes. Past policy aspirations and extensive water infrastructures have shaped the delta into one the most significant food producing landscapes in Southeast Asia. Yet, these changes have also created new environmental risks by transforming the hydrological system. Research has produced a growing and increasingly diverse empirical literature on the delta's environmental context, without necessarily providing water resource managers, policymakers and practitioners with the information needed to galvanize more resilient development. This focus review presents a detailed overview of the recent scientific findings, exploring how the management of water resources is changing, as well as their inter‐relationship with land use, policy, socio‐economic transitions, and global environmental crises. Compound and systemic risks to the delta include climate change, hydrometeorological hazards, upstream developments and an unsustainable development trajectory. We outline scientific knowledge gaps, as well as the pressing need for sharable analysis‐ready data and innovations. Finally, we provide recommended future research avenues for multiscale actions toward a sustainable and resilient delta future.This article is categorized under: Human Water > Water Governance Science of Water > Water Extremes Science of Water > Water and Environmental Change

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Section: Setting the Scenementioning

confidence: 99%

Progress toward resilient and sustainable water management in the Vietnamese Mekong Delta

Trí

Yarina²,

Nguyen

et al. 2023

WIREs Water

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“…All these disadvantages limit the usage usefulness of this approach in quantifying SM (van der Velde et al, 2014;Sun et al, 2016;Yang et al, 2017). Since its establishment, the temperature vegetation dryness index (TVDI) has been widely used in SM detection and management at large spatial and temporal scales (Sandholt et al, 2002;Zhao et al, 2014;Zormand et al, 2017;Ali et al, 2019;Fitriyah et al, 2019;Phan et al, 2020;Yuan et al, 2020). Generally, SM data are indirectly obtained using the TVDI approach and divided into multiple levels based on the TVDI values (Zormand et al, 2017;Yuan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands

Wang

2023

Front. Environ. Sci.

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Soil moisture (SM) is closely correlated with ecosystem structure and function. Examining whether climate data (temperature, precipitation and radiation) and the normalized difference vegetation index (NDVI) can be used to estimate SM variation could benefit research related to SM under climate change and human activities. In this study, we evaluated the ability of nine algorithms to explain potential SM (SMp) variation using climate data and actual SM (SMa) variation using climate data and NDVI. Overall, climate data and the NDVI based on the constructed random forest models led to the best estimated SM (R2 ≥ 94%, RMSE ≤ 2.98, absolute value of relative bias: ≤ 3.45%). Randomness, and the setting values of the two key parameters (mtry and ntree), may explain why the random forest models obtained the highest accuracy in predicating SM. Therefore, the constructed random forest models of SMp and SMa in this study can be thus be applied to estimate spatiotemporal variations in SM and for other related scientific research (e.g., differentiating the relative effects of climate change and human activities on SM), at least for Tibetan grassland region.

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“…Among the reported applications, land-use-related droughts accounted for nearly 9.5%, and most of these studies were undertaken in Vietnam [88,[127][128][129][130][131][132][133] and Indonesia [126]. Multi-spectral remote sensing products from the MODIS and Landsat sensors dominated, whereas the multi-sensor approach has been limited in few recent studies [128,132].…”

Section: Drought-induced Land-use Changementioning

confidence: 99%

A Review of Earth Observation-Based Drought Studies in Southeast Asia

Huth

Bachofer

et al. 2022

Remote Sensing

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Drought is a recurring natural climatic hazard event over terrestrial land; it poses devastating threats to human health, the economy, and the environment. Given the increasing climate crisis, it is likely that extreme drought phenomena will become more frequent, and their impacts will probably be more devastating. Drought observations from space, therefore, play a key role in dissimilating timely and accurate information to support early warning drought management and mitigation planning, particularly in sparse in-situ data regions. In this paper, we reviewed drought-related studies based on Earth observation (EO) products in Southeast Asia between 2000 and 2021. The results of this review indicated that drought publications in the region are on the increase, with a majority (70%) of the studies being undertaken in Vietnam, Thailand, Malaysia and Indonesia. These countries also accounted for nearly 97% of the economic losses due to drought extremes. Vegetation indices from multispectral optical remote sensing sensors remained a primary source of data for drought monitoring in the region. Many studies (~21%) did not provide accuracy assessment on drought mapping products, while precipitation was the main data source for validation. We observed a positive association between spatial extent and spatial resolution, suggesting that nearly 81% of the articles focused on the local and national scales. Although there was an increase in drought research interest in the region, challenges remain regarding large-area and long time-series drought measurements, the combined drought approach, machine learning-based drought prediction, and the integration of multi-sensor remote sensing products (e.g., Landsat and Sentinel-2). Satellite EO data could be a substantial part of the future efforts that are necessary for mitigating drought-related challenges, ensuring food security, establishing a more sustainable economy, and the preservation of the natural environment in the region.

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Trends in Long-Term Drought Changes in the Mekong River Delta of Vietnam

Cited by 24 publications

References 44 publications

Progress toward resilient and sustainable water management in the Vietnamese Mekong Delta

Progress toward resilient and sustainable water management in the Vietnamese Mekong Delta

Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands

A Review of Earth Observation-Based Drought Studies in Southeast Asia

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