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Drought is one of the most frequent and widespread natural hazards in Tien Giang province of Vietnam, which is aggravating under the in uence of climate change. As agriculture is the primary economy of the province, it is crucial to understand the in uence of climate change on drought severity and how the local farmers perceive and adapt to climate change. Therefore, to examine the impacts of climate change on drought in the Tien Giang province in the Mekong Delta, the present study used three General Circulation Models (GCMs) -ACCESS 1.3, CNRM-CM5 and MRI-CGCM3 under two Representative Concentration Pathways (RCPs) 4.5 and 8.5 scenarios. In addition, the study evaluated household-level adaptation strategies based on structured questionnaire-based household survey data and focuses group discussion. This study identi es that the drought will be getting more severe for the future in the province based on using three GCMs and two climate change scenarios. The estimated results of the Standardized Precipitation Index (SPI) showed that there would be many potential extreme drought years between 2020-2050. The results from the questionnaires survey depicted that the household perception of drought is moderate in the Mekong Delta. The current adaptation measures are good enough to adapt to fair drought and can be improved to adapt to more potential extreme drought condition in the future. This study provides important insights for decision-makers to manage future drought situations in the Mekong region.
Drought is one of the most frequent and widespread natural hazards in Tien Giang province of Vietnam, which is aggravating under the in uence of climate change. As agriculture is the primary economy of the province, it is crucial to understand the in uence of climate change on drought severity and how the local farmers perceive and adapt to climate change. Therefore, to examine the impacts of climate change on drought in the Tien Giang province in the Mekong Delta, the present study used three General Circulation Models (GCMs) -ACCESS 1.3, CNRM-CM5 and MRI-CGCM3 under two Representative Concentration Pathways (RCPs) 4.5 and 8.5 scenarios. In addition, the study evaluated household-level adaptation strategies based on structured questionnaire-based household survey data and focuses group discussion. This study identi es that the drought will be getting more severe for the future in the province based on using three GCMs and two climate change scenarios. The estimated results of the Standardized Precipitation Index (SPI) showed that there would be many potential extreme drought years between 2020-2050. The results from the questionnaires survey depicted that the household perception of drought is moderate in the Mekong Delta. The current adaptation measures are good enough to adapt to fair drought and can be improved to adapt to more potential extreme drought condition in the future. This study provides important insights for decision-makers to manage future drought situations in the Mekong region.
Coastal agricultural zones are experiencing salinization due to accelerating rates of sea‐level rise, causing reduction in crop yields and abandonment of farmland. Understanding mechanisms and drivers of this seawater intrusion (SWI) is key to mitigating its effects and predicting future vulnerability of groundwater resources to salinization. We implemented a monitoring network of pressure and specific conductivity (SC) sensors in wells and surface waters to target marsh‐adjacent agricultural areas in greater Dover, Delaware. Recorded water levels and SC over a period of three years show that the mechanisms and timescales of SWI are controlled by local hydrology, geomorphology, and geology. Monitored wells did not indicate widespread salinization of deep groundwater in the surficial aquifer. However, monitored surface water bodies and shallow (<4 m deep) wells did show SC fluctuations due to tides and storm events, in one case leading to salinization of deeper (18 m deep) groundwater. Seasonal peaks in SC occurred during late summer months. Seasonal and interannual variation of SC was also influenced by relative sea level. The data collected in this study data highlight the mechanisms by which surface water‐groundwater connections lead to salinization of aquifers inland, before SWI is detected in deeper groundwater nearer the coastline. Sharing of our data with stakeholders has led to the implementation of SWI mitigation efforts, illustrating the importance of strategic monitoring and stakeholder engagement to support coastal resilience.
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