Universidade Federal de Pernambuco - Federal University of Pernambuco - UFPE
Published May 7, 2025 | Version v1
Journal article Open

Sensitivity Analysis of Soil Moisture with Hydrus 1D in the municipality of Garanhuns, PE

Authors/Creators

  • 1. ROR icon Universidade Federal de Pernambuco

Description

Understanding the hydrological processes in soil and the sensitivity of the associated parameters is crucial for the sustainable management of water resources, especially in semi-arid regions such as the Caatinga biome. This study employs the HYDRUS-1D software to model soil moisture and perform a sensitivity analysis of hydrodynamic parameters in soils from native Caatinga and pasture areas in Garanhuns, Pernambuco, Brazil. Hydrometeorological and geotechnical data from 2017 were used to simulate soil moisture under precipitation and non-precipitation conditions. Parameters such as water retention coefficient, saturated hydraulic conductivity (Ks), alpha parameter (a), and the curvature factor of the retention curve (n) were analyzed. Results indicate high sensitivity of cumulative evapotranspiration to parameter variations, highlighting a direct impact on saturation dynamics and water availability. Conversely, variables such as surface runoff and cumulative infiltration showed low sensitivity. These findings emphasize the importance of accounting for hydrodynamic parameter sensitivity when developing strategies for water conservation and management in semi-arid areas. The analysis also underscores the impacts of land use changes on the soil's water storage potential, contributing to more efficient and sustainable water resource planning in the region.

Files

RBGF_v2_artigo_correcoes_realizadas_LeituradeProva07.05.23.pdf

Files (1.2 MB)

Additional details

Additional titles

Translated title (Portuguese)
Análise de Sensibilidade da Umidade do Solo com Hydrus 1D no Município de Garanhuns-PE

Funding

Fundação de Amparo à Ciência e Tecnologia de Pernambuco
IBPG-1083-3.01/21
National Agency of Petroleum, Natural Gas and Biofuels
PRH 48.1/UFPE 48610.201019/2019-38
Fundação de Amparo à Pesquisa do Estado de São Paulo
2024/12259-3
Fundação de Amparo à Ciência e Tecnologia de Pernambuco
2024/12290-8

Dates

Issued
2025-05-07

References

  • Aires, G. da C., Montenegro, A. A. de A., Carvalho, A. A. de, Monteiro, A. L. N., & Almeida, G. da C. de. (2022). Umidade do solo e estresse hídrico simulado com Hydrus-1D em área com sorgo forrageiro irrigado. Agrometeoros, 30, e026992. https://doi.org/10.31062/agrom.v30.e026992
  • Alobaidy, T., & Hassan, H. (2024). Prediction Of Soil Moisture Characteristic Curve By Using Van Genuchten Model (1980) And Soilpar2 For Some Soil At Nineveh Governorate. Mesopotamia Journal of Agriculture, 52(2), 46-57. https://doi.org/10.33899/mja.2024.146131.134018
  • Alves, V. C., Carvalho, B. L., Júnior, J. R. de A., & Frota, P. V. (2024). A Study Of The Average Annual Precipitation And The Reflexes On The Stored Volume And Trophic State Index In The Acaraú Mirim Reservoir In The Municipality Of Massapê, Ceará. International Journal Semiarid, 7(7), 214. https://doi.org/10.56346/ijsa.v7i7.214
  • Araujo, H. F. P., Canassa, N. F., Machado, C. C. C., & Tabarelli, M. (2023). Human disturbance is the major driver of vegetation changes in the Caatinga dry forest region. Scientific Reports, 13(1), 18440. https://doi.org/10.1038/s41598-023-45571-9
  • Barbosa, A. de M., & Cavalcanti, A. R. (2024). Estimativa da evapotranspiração de referência para Presidente Prudente, SP. Agrometeoros, 32, e027620. https://doi.org/10.31062/agrom.v32.e027620
  • Barbosa, V. V., Souza, W. M., Galvíncio, J. D., & Costa, V. S. O. (2016). Análise da variabilidade climática do município de Garanhuns, Pernambuco Brasil. Revista Brasileira de Geografia Física, 9(2), 353-367.
  • Boujoudar, M., Beljadid, A., & Taik, A. (2023). Localized RBF methods for modeling infiltration using the Kirchhoff-transformed Richards equation. Engineering Analysis with Boundary Elements, 152, 259-276. https://doi.org/10.1016/j.enganabound.2023.03.034
  • Castellini, M., Prima, S. D., Giglio, L., Leogrande, R., Alagna, V., Autovino, D., Rinaldi, M., & Iovino, M. (2024). Applying a Comprehensive Model for Single-Ring Infiltration: Assessment of Temporal Changes in Saturated Hydraulic Conductivity and Physical Soil Properties. Water, 16(20), 2950. https://doi.org/10.3390/w16202950
  • Chavanne, X., & Frangi, J.-P. (2024). A Sensor to Monitor Soil Moisture, Salinity, and Temperature Profiles for Wireless Networks. Journal of Sensor and Actuator Networks, 13(3), 32. https://doi.org/10.3390/jsan13030032
  • Choi, Y., & Yoon, S. (2023). Surrogate-assisted high-accuracy observation modeling in building digital twins: In situ nonintrusive modeling without sensor observation (Y). Building and Environment, 242, 110584. https://doi.org/10.1016/j.buildenv.2023.110584
  • Costa, E. J. P., Holanda, A. C., Costa, M. P., Câmara, Y. B., & Lopes-Nunes, A. L. da S. (2022). Floristic and Structure of Woody Vegetation in a Caatinga Area Between 2015 and 2019, in ASSÚ/RN. Floresta e Ambiente, 29, e20210001. https://doi.org/10.1590/2179-8087-FLORAM-2021-0001
  • Esiri, A. E., Sofoluwe, O. O., & Ukato, A. (2024). Hydrogeological modeling for safeguarding underground water sources during energy extraction. Open Access Research Journal of Multidisciplinary Studies, 7(2), 148-158. https://doi.org/10.53022/oarjms.2024.7.2.0036
  • Faria, D., Morante-Filho, J. C., Baumgarten, J., Bovendorp, R. S., Cazetta, E., Gaiotto, F. A., Mariano-Neto, E., Mielke, M. S., Pessoa, M. S., Rocha-Santos, L., Santos, A. S., Soares, L. A. S. S., Talora, D. C., Vieira, E. M., & Benchimol, M. (2023). The breakdown of ecosystem functionality driven by deforestation in a global biodiversity hotspot. Biological Conservation, 283, 110126. https://doi.org/10.1016/j.biocon.2023.110126
  • Forcina, A., Petrillo, A., Travaglioni, M., di Chiara, S., & De Felice, F. (2023). A comparative life cycle assessment of different spent coffee ground reuse strategies and a sensitivity analysis for verifying the environmental convenience based on the location of sites. Journal of Cleaner Production, 385, 135727. https://doi.org/10.1016/j.jclepro.2022.135727
  • França, J. M. B. de, Capelo Neto, J., Lima Neto, I. E., Paulino, W. D., & Souza Filho, F. de A. de. (2021). Simulação da compartimentação em reservatório no semiárido brasileiro uso da modelagem hidrodinâmica como ferramenta de gestão. http://repositorio.ufc.br/handle/riufc/69324
  • Ganem, K. A., Dutra, A. C., Oliveira, M. T. de, Freitas, R. M. de, Grecchi, R. C., Vieira, R. M. da S. P., Arai, E., Silva, F. B., Sampaio, C. B. V., Duarte, V., & Shimabukuro, Y. E. (2020). Mapeamento da Vegetação da Caatinga a partir de Dados Ópticos de Observação da Terra - Oportunidades e Desafios. Revista Brasileira de Cartografia, 72, 829-854. https://doi.org/10.14393/rbcv72nespecial50anos-56543
  • Garg, A., Xing, X., & Bordoloi, S. (2022). Water retention models for soils mixed with waste residues: Application of the modified van-Genuchten and Brooks-Corey models. Biomass Conversion and Biorefinery, 12(11), 5059-5066. https://doi.org/10.1007/s13399-020-00957-x
  • Gomes, M. N., do Lago, C. A. F., Rápalo, L. M. C., Oliveira, P. T. S., Giacomoni, M. H., & Mendiondo, E. M. (2023). HydroPol2D Distributed hydrodynamic and water quality model: Challenges and opportunities in poorly-gauged catchments. Journal of Hydrology, 625, 129982. https://doi.org/10.1016/j.jhydrol.2023.129982
  • Jardim, A. M. da R. F., Morais, J. E. F. de, Souza, L. S. B. de, Lopes, D. de C., Silva, M. V. da, Pandorfi, H., Oliveira-Júnior, J. F. de, Silva, J. L. B. da, Steidle Neto, A. J., Morellato, L. P. C., de Lima, J. L. M. P., & Silva, T. G. F. da. (2023). A systematic review of energy and mass fluxes, and biogeochemical processes in seasonally dry tropical forests and cactus ecosystems. Journal of South American Earth Sciences, 126, 104330. https://doi.org/10.1016/j.jsames.2023.104330
  • Krueger, E. S., Levi, M. R., Achieng, K. O., Bolten, J. D., Carlson, J. D., Coops, N. C., Holden, Z. A., Magi, B. I., Rigden, A. J., & Ochsner, T. E. (2022). Using soil moisture information to better understand and predict wildfire danger: A review of recent developments and outstanding questions. International Journal of Wildland Fire, 32(2), 111-132. https://doi.org/10.1071/WF22056
  • Lazarovitch, N., Kisekka, I., Oker, T. E., Brunetti, G., Wöhling, T., Xianyue, L., Yong, L., Skaggs, T. H., Furman, A., Sasidharan, S., Raij-Hoffman, I., & Šimůnek, J. (2023). Chapter Two - Modeling of irrigation and related processes with HYDRUS. In D. L. Sparks (Org.), Advances in Agronomy (Vol. 181, p. 79-181). Academic Press. https://doi.org/10.1016/bs.agron.2023.05.002
  • Medeiros, R., Andrade, J., Ramos, D., Moura, M., Pérez-Marin, A. M., dos Santos, C. A. C., da Silva, B. B., & Cunha, J. (2022). Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers. Remote Sensing, 14(11), 2637. https://doi.org/10.3390/rs14112637
  • Morais, L. F., Cavalcante, A. C. R., Furtado, R. N., Gorayeb, A., Aquino, D. D. N., Nogueira, F. H. M., & Cândido, M. J. D. (2023). Spatial and Temporal analysis (2008-2017) of droughts and their effects on livestock in the Brazilian semi-arid region. Anais Da Academia Brasileira de Ciências, 95, e20220890. https://doi.org/10.1590/0001-3765202320220890
  • Oliveira, C. L. de, Lima, J. R. de S., Souza, R. M. S., Antonino, A. C. D., Alves, M. F. de A. T., Silva, V. P. da, Lopes, M. H. L., Souza, E. S. de, & Ferreira, R. C. (2023). A Caatinga Emite ou Sequestra Carbono? Revista Brasileira de Geografia Física, 16(2), 791-804. https://doi.org/10.26848/rbgf.v16.2.p791-804
  • Oliveira, M. L., dos Santos, C. A. C., de Oliveira, G., Silva, M. T., da Silva, B. B., Cunha, J. E. de B. L., Ruhoff, A., & Santos, C. A. G. (2022). Remote sensing-based assessment of land degradation and drought impacts over terrestrial ecosystems in Northeastern Brazil. Science of The Total Environment, 835, 155490. https://doi.org/10.1016/j.scitotenv.2022.155490
  • Paiva, I. M. M., Andrade, L. P. de, & Andrade, H. M. L. da S. (2022). Percepção dos frequentadores dos parques urbanos de Garanhuns - PE durante a pandemia COVID-19. Research, Society and Development, 11(14), e14111436187. https://doi.org/10.33448/rsd-v11i14.36187
  • Ramos, T. B., Liu, M., Paredes, P., Shi, H., Feng, Z., Lei, H., & Pereira, L. S. (2023). Salts dynamics in maize irrigation in the Hetao plateau using static water table lysimeters and HYDRUS-1D with focus on the autumn leaching irrigation. Agricultural Water Management, 283, 108306. https://doi.org/10.1016/j.agwat.2023.108306
  • Rasheed, M. W., Tang, J., Sarwar, A., Shah, S., Saddique, N., Khan, M. U., Imran Khan, M., Nawaz, S., Shamshiri, R. R., Aziz, M., & Sultan, M. (2022). Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review. Sustainability, 14(18), 11538. https://doi.org/10.3390/su141811538
  • Refati, D. C., Silva, J. L. B. da, Macedo, R. S., Lima, R. da C. C., Silva, M. V. da, Pandorfi, H., Silva, P. C., & Oliveira-Júnior, J. F. de. (2023). Influence of drought and anthropogenic pressures on land use and land cover change in the brazilian semiarid region. Journal of South American Earth Sciences, 126, 104362. https://doi.org/10.1016/j.jsames.2023.104362
  • Rezvani, S. M., Falcão, M. J., Komljenovic, D., & de Almeida, N. M. (2023). A Systematic Literature Review on Urban Resilience Enabled with Asset and Disaster Risk Management Approaches and GIS-Based Decision Support Tools. Applied Sciences, 13(4), 2223. https://doi.org/10.3390/app13042223
  • Santos, C. A. C., Mariano, D. A., das Chagas A. do Nascimento, F., da C. Dantas, F. R., de Oliveira, G., Silva, M. T., da Silva, L. L., da Silva, B. B., Bezerra, B. G., Safa, B., de S. Medeiros, S., & Neale, C. M. U. (2020). Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil. International Journal of Applied Earth Observation and Geoinformation, 85, 101982. https://doi.org/10.1016/j.jag.2019.101982
  • Santos, M. P., Amazonas, I. B. do, & Goldfarb, M. C. (2023). Análise Da Evolução Da Qualidade Ambiental No Município De Garanhuns/Pe: Uma Aplicação De Indicadores De Salubridade Ambiental. RECIMA21 - Revista Científica Multidisciplinar, 4(4), e443028. https://doi.org/10.47820/recima21.v4i4.3028
  • Santos, R. B., Santos, B. S., Souza, R. T. de A., Ricarte, T. L., & Júnior, J. J. F. C. (2022). Estimativas da evapotranspiração de referência por equações empíricas para o município de Nossa Senhora da Glória - SE. Revista de Geociências do Nordeste, 8(2), 19-31. https://doi.org/10.21680/2447-3359.2022v8n2ID30338
  • Scarciglia, F., Nicolaci, A., Del Bianco, S., Pelle, T., Soligo, M., Tuccimei, P., Marzaioli, F., Passariello, I., & Iovino, F. (2020). Reforestation and soil recovery in a Mediterranean mountain environment: Insights into historical geomorphic and vegetation dynamics in the Sila Massif, Calabria, southern Italy. CATENA, 194, 104707. https://doi.org/10.1016/j.catena.2020.104707
  • Sheng, W., Wu, Y., Chang, C.-Y., González-Teruel, J. D., Jones, S. B., & Meng, F. (2024). Sampling volume evaluation of seven electromagnetic soil moisture sensors. Agricultural and Forest Meteorology, 358, 110240. https://doi.org/10.1016/j.agrformet.2024.110240
  • Silva, M. E. R. da, Santos Neto, S. M. dos, Peronico, R. L., Alcântara, L. R. P. de, Costa, I. R. de A., Antonino, A. C. D., & Coutinho, A. P. (2024). Sobol method for sensitivity analysis of the hydrus model in the simulation of water infiltration in alluvial deposit in the brazilian semiariid. RBRH, 29, e34. https://doi.org/10.1590/2318-0331.292420230108
  • Suzuki, L. E. A. S., Reinert, D. J., Pillon, C. N., & Reichert, J. M. (2024). Mechanical Resistance to Penetration for Improved Diagnosis of Soil Compaction at Grazing and Forest Sites. Forests, 15(8), 1369. https://doi.org/10.3390/f15081369
  • Thao, T., Culumber, C. M., Poret-Peterson, A. T., Zuber, C. A., Holtz, B. A., & Gao, S. (2024). Evaluating the seasonal effects of whole orchard recycling on water movement and nitrogen retention for a newly established almond orchard: Simulation using HYDRUS-1D. Agricultural Water Management, 299, 108882. https://doi.org/10.1016/j.agwat.2024.108882
  • Voulanas, D., Hatzigiannakis, E., & Arampatzis, G. (2022). HYDRUS-1D modelling of soil water regime in a rational irrigation pilot application (Nigrita, Greece). Desalination and Water Treatment, 264, 307-317. https://doi.org/10.5004/dwt.2022.28584
  • Zhang, S., Bai, X., Zhao, C., Tan, Q., Luo, G., Cao, Y., Deng, Y., Li, Q., Li, C., Wu, L., Wang, J., Chen, F., Xi, H., Ran, C., & Liu, M. (2022). Limitations of soil moisture and formation rate on vegetation growth in karst areas. Science of The Total Environment, 810, 151209. https://doi.org/10.1016/j.scitotenv.2021.151209