Rainfall–runoff modelling using genetic programming

Rodríguez-Vázquez, Katya; Arganis-Juárez, Maritza Liliana; Cruickshank-Villanueva, C.; Domínguez-Mora, Ramón

doi:10.2166/hydro.2011.105

Cited by 19 publications

(5 citation statements)

References 10 publications

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“…However, water levels and outflows are required by a hydrodynamic model, and measured daily inflows are required by a catchment model to conduct the estimation. At a monthly time scale, a statistical regression [47][48][49][50], genetic method [77], or wavelet method [78] to find the relationship between inflow and rain might be a good option to solve the problem. So, the process of producing monthly tributary inflows based on rainfall data in this paper might be a good example for estimating runoff at other lakes.…”

Section: Discussionmentioning

confidence: 99%

Tributary Loadings and Their Impacts on Water Quality of Lake Xingyun, a Plateau Lake in Southwest China

Ling

Zhang

Luo

et al. 2022

Water

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Lake Xingyun is a hypertrophic shallow lake on the Yunnan Plateau of China. Its water quality (WQ) has degraded severely during the past three decades with catchment development. To better understand the external nutrient loading impacts on WQ, we measured nutrient concentrations in the main tributaries during January 2010–April 2018 and modelled the monthly volume of all the tributaries for the same period. The results show annual inputs of total nitrogen (TN) had higher variability than total phosphorus (TP). The multi-year average load was 183.8 t/year for TN and 23.3 t/year for TP during 2010–2017. The average TN and TP loads for 2010–2017 were 36.6% higher and 63.8% lower, respectively, compared with observations in 1999. The seasonal patterns of TN and TP external loading showed some similarity, with the highest loading during the wet season and the lowest during the dry season. Loads in spring, summer, autumn, winter, and the wet season (May–October) accounted for 14.2%, 48.8%, 30.3%, 6.7%, and 84.9% of the annual TN load and 14.1%, 49.8%, 28.1%, 8%, and 84.0% of the annual TP load during 2010–2017. In-lake TN and TP concentrations followed a pattern similar to the external loading. The poor correlation between in-lake nutrient concentrations and tributary nutrient inputs at monthly and annual time scales suggests both external loading and internal loading were contributing to the lake eutrophication. Although effective lake restoration will require reducing nutrient losses from catchment agriculture, there may be a need to address a reduction of internal loads through sediment dredging or capping, geochemical engineering, or other effective measures. In addition, the method of producing monthly tributary inflows based on rainfall data in this paper might be useful for estimating runoff at other lakes.

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Section: Discussionmentioning

confidence: 99%

Tributary Loadings and Their Impacts on Water Quality of Lake Xingyun, a Plateau Lake in Southwest China

Ling

Zhang

Luo

et al. 2022

Water

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Section: Seasonality Of Tn and Tp Loadingmentioning

confidence: 99%

Plateau Lake Water Quality and Eutrophication: Status and Challenges

2023

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Cover image courtesy of Hucai Zhang © 2023 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND.

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“…In the recent past, GP has been increasingly used to model the rainfall‐runoff process [ Savic et al , 1999; Whigham and Crapper , 2001; Muttil and Liong , 2001; Liong et al , 2002; Dorado et al , 2003; Babovic and Keijzer , 2006; Kashid et al , 2010; Rodriquez ‐ Vázquez et al , 2012] and has been shown to be a viable alternative to traditional rainfall‐runoff models. This is particularly important for data scarce regions such as the Indian river basins, for which applications of a physically based hydrological model might be infeasible.…”

Section: Case Study Applicationmentioning

confidence: 99%

On the basin‐scale detection and attribution of human‐induced climate change in monsoon precipitation and streamflow

Mondal

Mujumdar

2012

Water Resources Research

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[1] Detecting and quantifying the presence of human-induced climate change in regional hydrology is important for studying the impacts of such changes on the water resources systems as well as for reliable future projections and policy making for adaptation. In this article a formal fingerprint-based detection and attribution analysis has been attempted to study the changes in the observed monsoon precipitation and streamflow in the rain-fed Mahanadi River Basin in India, considering the variability across different climate models. This is achieved through the use of observations, several climate model runs, a principal component analysis and regression based statistical downscaling technique, and a Genetic Programming based rainfall-runoff model. It is found that the decreases in observed hydrological variables across the second half of the 20th century lie outside the range that is expected from natural internal variability of climate alone at 95% statistical confidence level, for most of the climate models considered. For several climate models, such changes are consistent with those expected from anthropogenic emissions of greenhouse gases. However, unequivocal attribution to human-induced climate change cannot be claimed across all the climate models and uncertainties in our detection procedure, arising out of various sources including the use of models, cannot be ruled out. Changes in solar irradiance and volcanic activities are considered as other plausible natural external causes of climate change. Time evolution of the anthropogenic climate change ''signal'' in the hydrological observations, above the natural internal climate variability ''noise'' shows that the detection of the signal is achieved earlier in streamflow as compared to precipitation for most of the climate models, suggesting larger impacts of human-induced climate change on streamflow than precipitation at the river basin scale.Citation: Mondal, A., and P. P. Mujumdar (2012), On the basin-scale detection and attribution of human-induced climate change in monsoon precipitation and streamflow, Water Resour. Res., 48, W10520,

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Rainfall–runoff modelling using genetic programming

Cited by 19 publications

References 10 publications

Tributary Loadings and Their Impacts on Water Quality of Lake Xingyun, a Plateau Lake in Southwest China

Tributary Loadings and Their Impacts on Water Quality of Lake Xingyun, a Plateau Lake in Southwest China

Plateau Lake Water Quality and Eutrophication: Status and Challenges

On the basin‐scale detection and attribution of human‐induced climate change in monsoon precipitation and streamflow

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