Evaluation of future climatology and its uncertainty under SSP scenarios based on a bias processing procedure: A case study of the Lancang-Mekong River Basin

Sun, Zhouliang; Liu, Yanli; Chen, Hua; Zhang, Jianyun; Jin, Junliang; Bao, Zhenxin; Wang, Guoqing; Tang, Liushan

doi:10.1016/j.atmosres.2023.107134

Cited by 5 publications

(1 citation statement)

References 100 publications

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“…Recent climatological analyses reveal a pronounced warming trend in the Lancang River Basin, with temperatures rising by approximately 3 • C in recent years. This increase in temperature is concurrent with changes in precipitation patterns, characterized by a marked intensification during the monsoon period from June to October [28]. At the same time, the soil landscape in the basin is predominantly shaped by natural erosion processes [27].…”

Section: Study Areamentioning

confidence: 95%

Carbon Emissions and Vegetation Dynamics: Assessing the Spatiotemporal Environmental Impacts of Hydropower Dams in the Lancang River Basin

Liu,

Wang,

et al. 2024

Forests

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Recent decades in the Lancang River Basin have witnessed extensive construction of hydropower dams, profoundly impacting the local environment. Utilizing high-precision satellite data, we conducted a comprehensive analysis of vegetation cover and carbon emissions, integrating data-driven time series and spatial analysis models to capture both temporal and spatial dynamics. Our findings reveal that hydropower dam construction in the Lancang River Basin has significantly promoted vegetation restoration and growth, concurrently facilitating a reduction in regional carbon emissions. Employing deep learning models for time-series prediction, we observed a substantial increase in the sum of the local normalized difference vegetation index (NDVI) post-construction, with an average rise of from 16.15% to a maximum of 20.12% during the pivotal hydropower dams’ operational phase. Between 2001 and 2020, the construction of hydropower dams in the basin corresponded to notable changes in ecological and carbon metrics. Specifically, vegetation cover expansion intensity (VCEI) reversed from a negative mean of −0.009 to a positive mean of 0.008. Additionally, the carbon emission intensity (CEI) around these dams drastically reduced, shifting from an average of 0.877 to 0.052. Importantly, the Global Moran’s I for VCEI significantly increased from 0.288 pre-2016 to 0.679 post-2015, reflecting a stronger spatial autocorrelation in vegetation patterns. Accordingly, these findings illustrate the complex interplay between hydropower dams and environmental outcomes, underscoring the critical role of pivotal hydropower dam construction in ecological improvement. The research results have improved and complemented those of previous studies on the environmental impact of hydraulic engineering, providing valuable insights for the construction management and policy formulation of hydropower dams in other similar river basins around the world.

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Section: Study Areamentioning

confidence: 95%

Carbon Emissions and Vegetation Dynamics: Assessing the Spatiotemporal Environmental Impacts of Hydropower Dams in the Lancang River Basin

Liu,

Wang,

et al. 2024

Forests

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Drought propagation across meteorological, hydrological and agricultural systems in the Lancang‐Mekong River Basin

Li,

Feng,

Zhang

et al. 2024

Hydrological Processes

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Drought produces cross‐system impacts, and these interactions between multiple systems are also referred to as drought propagation. However, the complex natural processes and anthropogenic disturbances lead to the drought propagation process being non‐linear and systems feedback, which is still lack of knowledge in large‐scale basins. To address these challenges, we propose a hydro‐economic coupled model and investigate drought propagation across meteorological‐hydrological‐agricultural systems. The results from the Lancang‐Mekong River Basin show that drought propagates from the meteorological system to the hydrological system and is weakened by the basin buffer and storage capacity. This propagation process shows spatial heterogeneity caused by basin characteristics, highlighting that the upstream (CS location) and downstream (KR and KC locations) are more prone to hydrological drought vulnerability. As drought further propagates to the agricultural system, water abstraction behaviours can alleviate the drought situation, leading to crop yield increases ranging from 4.6% to 39.2% through irrigation pathways. Unfortunately, irrigation behaviour also worsens hydrological drought in a feedback loop, where downstream VT (annual discharge decreases by around 1346 m3/s) shows more intense variation than upstream LP (annual discharge decreases by almost 135 m3/s), illustrating the feedback among multi‐systems and accumulation in spatial. Moreover, upstream hydropower and downstream agricultural water use show synergistic relationships, revealing that efficient anthropogenic interventions can positively mitigate the impact of drought on human well‐being. This paper provides an in‐depth understanding of the complex drought propagation process in nature‐human highly coupled Lancang‐Mekong, which may help policymakers and basin managers to better cope with drought.

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Assessment of the impacts of climate change on the construction of homogeneous climatic regions and ensemble climate projections using CMIP6 data over Pakistan

Abbas,

Khan,

Liou

et al. 2024

Atmospheric Research

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Evaluation of future climatology and its uncertainty under SSP scenarios based on a bias processing procedure: A case study of the Lancang-Mekong River Basin

Cited by 5 publications

References 100 publications

Carbon Emissions and Vegetation Dynamics: Assessing the Spatiotemporal Environmental Impacts of Hydropower Dams in the Lancang River Basin

Carbon Emissions and Vegetation Dynamics: Assessing the Spatiotemporal Environmental Impacts of Hydropower Dams in the Lancang River Basin

Drought propagation across meteorological, hydrological and agricultural systems in the Lancang‐Mekong River Basin

Assessment of the impacts of climate change on the construction of homogeneous climatic regions and ensemble climate projections using CMIP6 data over Pakistan

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