2021
DOI: 10.1016/j.hydroa.2020.100072
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Flood severity along the Usumacinta River, Mexico: Identifying the anthropogenic signature of tropical forest conversion

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Cited by 8 publications
(3 citation statements)
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“…The highest flows occur during the cold fronts period, reaching up to 8000 m 3 /s [40]. These high flows produce recurrent floods that cause economic damage and threaten the safety of the population [41,42]. For instance, just in November 2020 a serious flood occurred in the Tabasco plain, including Villahermosa, the most populous city in the Grijalva-Usumacinta basin (~1 million inhabitants).…”
Section: Study Areamentioning
confidence: 99%
“…The highest flows occur during the cold fronts period, reaching up to 8000 m 3 /s [40]. These high flows produce recurrent floods that cause economic damage and threaten the safety of the population [41,42]. For instance, just in November 2020 a serious flood occurred in the Tabasco plain, including Villahermosa, the most populous city in the Grijalva-Usumacinta basin (~1 million inhabitants).…”
Section: Study Areamentioning
confidence: 99%
“…HR-30 is the largest discharge in Mexico and the second-largest overall to the Gulf of Mexico after the Mississippi River [69]. The drainage basin is ~112,550 km 2 , and the flow range is between 3000 and 6000 m 3 s −1 , equivalent to around 30% of the total surface runoff of Mexico [63,70]. The Usumacinta River basin extends over Guatemala (58% of the total area) and Mexico (42%).…”
Section: The Usumacinta Rivermentioning
confidence: 99%
“…Studies across scales have assessed the contributions of different drivers on streamflow alterations. Yet, global-scale studies often lack the depth and detail of local and regional approaches that can, for instance, incorporate highly specialised hydrological modelling setups and extensive data (Dennedy-Frank and Gorelick, 2019;Horton et al, 2021) or advanced empirical models (Chagas et al, 2022;Levy et al, 2018). Global studies on streamflow change often focus on describing the hydrological outcome and attaching driver attribution to this by, for example, qualitative discussion (Porkka et al, 2024), static information on human drivers (Yang et al, 2021), or incorporation of a limited set of drivers (Zhang et al, 2023).…”
Section: Introductionmentioning
confidence: 99%