IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v104y2012icp128-141.html
   My bibliography  Save this article

A new distributed rainfall-runoff (DR2) model based on soil saturation and runoff cumulative processes

Author

Listed:
  • López-Vicente, M.
  • Navas, A.

Abstract

One important issue in agricultural management and hydrological research is the assessment of water stored during a rainfall event. In this study, a new GIS-based rainfall-runoff model is presented to estimate soil moisture status (SMS) for each month of the year after an average rainfall event with maximum intensity. The new model computes the volume of actual available water (Waa) downwards from divides, taking into account the different configurations of the upslope contributing area, infiltration processes and climatic parameters. Results show that the spatial distribution of the different soil types is the main controlling factor in the initiation of runoff and, to a lesser extent, the antecedent topsoil moisture and the volumetric water content of the soil at saturation. Monthly Waa and SMS maps and Palmer Z-indexes present similar spatial patterns, although the values and the extension of the different dry and wet categories varied considerably. Predominant wet conditions occurred in May, September, October, November and December and dry conditions appeared in February, March and July. The wettest conditions took place in gently sloping areas, according to the topographic wetness index. Maps based on Palmer Z-indexes match very closely the SMS patterns predicted by the DR2 model from January to September, but the similarity was poor from October to December. Spatial predictions with the new model identify the different sub-categories of soil wetness for each soil type in greater detail. The DR2 model seems to be of interest to monitor humidity variations and trends in time and space and to provide valuable information for sustainable soil and water resource management.

Suggested Citation

  • López-Vicente, M. & Navas, A., 2012. "A new distributed rainfall-runoff (DR2) model based on soil saturation and runoff cumulative processes," Agricultural Water Management, Elsevier, vol. 104(C), pages 128-141.
    • Handle: RePEc:eee:agiwat:v:104:y:2012:i:c:p:128-141
    DOI: 10.1016/j.agwat.2011.12.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377411003313
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2011.12.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ph. Ciais & M. Reichstein & N. Viovy & A. Granier & J. Ogée & V. Allard & M. Aubinet & N. Buchmann & Chr. Bernhofer & A. Carrara & F. Chevallier & N. De Noblet & A. D. Friend & P. Friedlingstein & T. , 2005. "Europe-wide reduction in primary productivity caused by the heat and drought in 2003," Nature, Nature, vol. 437(7058), pages 529-533, September.
    2. Sergio Vicente-Serrano, 2007. "Evaluating the Impact of Drought Using Remote Sensing in a Mediterranean, Semi-arid Region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 40(1), pages 173-208, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. López-Vicente, M. & Navas, A. & Gaspar, L. & Machín, J., 2013. "Advanced modelling of runoff and soil redistribution for agricultural systems: The SERT model," Agricultural Water Management, Elsevier, vol. 125(C), pages 1-12.
    2. Zhang, Baoqing & Wu, Pute & Zhao, Xining & Wang, Yubao & Wang, Jiawen & Shi, Yinguang, 2012. "Drought variation trends in different subregions of the Chinese Loess Plateau over the past four decades," Agricultural Water Management, Elsevier, vol. 115(C), pages 167-177.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linghui Guo & Yuanyuan Luo & Yao Li & Tianping Wang & Jiangbo Gao & Hebing Zhang & Youfeng Zou & Shaohong Wu, 2023. "Spatiotemporal Changes and the Prediction of Drought Characteristics in a Major Grain-Producing Area of China," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    2. Finger, Robert, 2010. "Evidence of slowing yield growth - The example of Swiss cereal yields," Food Policy, Elsevier, vol. 35(2), pages 175-182, April.
    3. Rui Li & Jing’ai Wang & Tianjie Zhao & Jiancheng Shi, 2016. "Index-based evaluation of vegetation response to meteorological drought in Northern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 2179-2193, December.
    4. Bohn, Friedrich J. & Frank, Karin & Huth, Andreas, 2014. "Of climate and its resulting tree growth: Simulating the productivity of temperate forests," Ecological Modelling, Elsevier, vol. 278(C), pages 9-17.
    5. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & Lin, Qingxia & Ning, Shaowei & Zhou, Yuliang & Jin, Juliang & Zhou, Rongxing & Ma, Qiang, 2023. "Agricultural drought characteristics in a typical plain region considering irrigation, crop growth, and water demand impacts," Agricultural Water Management, Elsevier, vol. 282(C).
    6. Iris Vogeler & Christof Kluß & Tammo Peters & Friedhelm Taube, 2023. "How Much Complexity Is Required for Modelling Grassland Production at Regional Scales?," Land, MDPI, vol. 12(2), pages 1-18, January.
    7. Sergio M. Vicente-Serrano & Miquel Tomas-Burguera & Santiago Beguería & Fergus Reig & Borja Latorre & Marina Peña-Gallardo & M. Yolanda Luna & Ana Morata & José C. González-Hidalgo, 2017. "A High Resolution Dataset of Drought Indices for Spain," Data, MDPI, vol. 2(3), pages 1-10, June.
    8. Yuqing Zhang & Guangxiong Mao & Changchun Chen & Liucheng Shen & Binyu Xiao, 2021. "Population Exposure to Compound Droughts and Heatwaves in the Observations and ERA5 Reanalysis Data in the Gan River Basin, China," Land, MDPI, vol. 10(10), pages 1-28, September.
    9. Yang Yang & Tianxiang Yue, 2024. "Variations of Global Compound Temperature and Precipitation Events and Associated Population Exposure Projected by the CMIP6 Multi-Model Ensemble," Sustainability, MDPI, vol. 16(12), pages 1-15, June.
    10. Reidsma, Pytrik & Ewert, Frank & Boogaard, Hendrik & Diepen, Kees van, 2009. "Regional crop modelling in Europe: The impact of climatic conditions and farm characteristics on maize yields," Agricultural Systems, Elsevier, vol. 100(1-3), pages 51-60, April.
    11. Sergio M. Vicente‐Serrano & Tim R. McVicar & Diego G. Miralles & Yuting Yang & Miquel Tomas‐Burguera, 2020. "Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(2), March.
    12. Pengyuan Wang & Shaoqiang Wang & Bin Chen & Muhammad Amir & Lei Wang & Jinghua Chen & Li Ma & Xiaobo Wang & Yuanyuan Liu & Kai Zhu, 2022. "Light and Water Conditions Co-Regulated Stomata and Leaf Relative Uptake Rate (LRU) during Photosynthesis and COS Assimilation: A Meta-Analysis," Sustainability, MDPI, vol. 14(5), pages 1-26, February.
    13. Israel R. Orimoloye & Adeyemi O. Olusola & Johanes A. Belle & Chaitanya B. Pande & Olusola O. Ololade, 2022. "Drought disaster monitoring and land use dynamics: identification of drought drivers using regression-based algorithms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1085-1106, June.
    14. Qifei Zhang & Yaning Chen & Zhi Li & Congjian Sun & Yanyun Xiang & Zhihui Liu, 2023. "Spatio-Temporal Development of Vegetation Carbon Sinks and Sources in the Arid Region of Northwest China," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    15. Zhang, Qi & Yu, Xin & Qiu, Rangjian & Liu, Zhongxian & Yang, Zaiqiang, 2022. "Evolution, severity, and spatial extent of compound drought and heat events in north China based on copula model," Agricultural Water Management, Elsevier, vol. 273(C).
    16. Verbeeck, Hans & Samson, Roeland & Granier, André & Montpied, Pierre & Lemeur, Raoul, 2008. "Multi-year model analysis of GPP in a temperate beech forest in France," Ecological Modelling, Elsevier, vol. 210(1), pages 85-103.
    17. Maliheh Arekhi & Serhun Saglam & Ulas Yunus Ozkan, 2020. "Drought monitoring and assessment using Landsat TM/OLI data in the agricultural lands of Bandar-e-Turkmen and Gomishan cities, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(7), pages 6691-6708, October.
    18. Xiangtao Wang & Zhigang Hu & Ziwei Zhang & Jiwang Tang & Ben Niu, 2024. "Altitude-Shifted Climate Variables Dominate the Drought Effects on Alpine Grasslands over the Qinghai–Tibetan Plateau," Sustainability, MDPI, vol. 16(15), pages 1-16, August.
    19. Zijian Gao & Wen He & Yuefeng Yao & Jinjun Huang, 2025. "Revealing the Exacerbated Drought Stress Impacts on Regional Vegetation Ecosystems in Karst Areas with Vegetation Indices: A Case Study of Guilin, China," Sustainability, MDPI, vol. 17(3), pages 1-19, February.
    20. Minxia Zhang & Shulin Chen & Hong Jiang & Yong Lin & Jinmeng Zhang & Xinzhang Song & Guomo Zhou, 2019. "Water-Use Characteristics and Physiological Response of Moso Bamboo to Flash Droughts," IJERPH, MDPI, vol. 16(12), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:104:y:2012:i:c:p:128-141. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.