Modelling erosion on a daily basis, an adaptation of the MMF approach

Abstract Effect of soil erosion causing negative impact on ecosystem services and food security is well known. On the other hand there can be yearly variation of total precipitation received in an area, with the presence of extreme rains. To assess annual erosion rates various empirical models have been extensively used in all the climatic regions. While these models are simple to operate and do not require lot of input data, the effect of extreme rain is not taken into account. Although physically based models are available to simulate erosion processes including particle detachment, transportation and deposition of sediments during a storm they are not applicable for assessing annual soil loss rates. Moreover storm event data may not be available everywhere prohibiting their extensive use. In this paper we describe a method by adapting the revised MMF model to assess erosion on daily basis so that the effects of extreme rains are taken into account. We couple it to a simple surface soil moisture balance and include estimation of daily vegetation cover changes for calculating rain interception and for estimating effective rain. The runoff fraction is based on the available daily storage of the effective hydrological depth. Unlike the original MMF model which accumulates annual runoff, the daily model accumulates daily runoff from upstream contributing area in a predefined flow network according to steepest slope direction. Annual soil loss is calculated by adding daily erosion rates. We compare the obtained results with that obtained from applying the revised MMF model in two locations: (i) in sub-humid tropics in central Thailand which is affected by deforestation and land cover changes resulting in excessive soil losses, and (ii) in semi-arid environment in Morocco which is affected by severe gully formation. Since the model results are daily estimates it is possible to see the effects of exceptional rain. In Morocco, the effects of extreme rains are clearly shown which were absent in the results obtained by using the annual model. The results also show that erosion rates can be moderate when rainfall pattern is normal without extreme rains in a year although total rain may be similar. This is clearly shown in the erosion assessment in Thailand for the years 2005 (1390 mm) and 2006 (1366 mm, and with the presence of extreme rainy days).

[1]  R. Morgan,et al.  A simple approach to soil loss prediction: a revised Morgan–Morgan–Finney model , 2001 .

[2]  Peng Jian,et al.  RETRACTED ARTICLE: Assessment of soil erosion using RUSLE and GIS: a case study of the Maotiao River watershed, Guizhou Province, China , 2009 .

[3]  H. Dregne Land Degradation in the Drylands , 2002 .

[4]  Peng Jian,et al.  Retraction Note: Assessment of soil erosion using RUSLE and GIS: a case study of the Maotiao River watershed, Guizhou Province, China , 2009, Environmental Earth Sciences.

[5]  J. Poesen,et al.  The EUROSEM Model , 1998 .

[6]  P. Ferraro,et al.  A Revealed Preference Approach to Estimating Supply Curves for Ecosystem Services: Use of Auctions to Set Payments for Soil Erosion Control in Indonesia , 2009, Conservation biology : the journal of the Society for Conservation Biology.

[7]  Ashish Pandey,et al.  Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing , 2008 .

[8]  Steven M. De Jong,et al.  Estimating spatial patterns of rainfall interception from remotely sensed vegetation indices and spectral mixture analysis , 2007, Int. J. Geogr. Inf. Sci..

[9]  L. Starkel,et al.  Extreme rainfalls in Eastern Himalaya and southern slope of Meghalaya Plateau and their geomorphologic impacts , 2007 .

[10]  M. Suriyaprasit,et al.  Assessing soil erosion in inaccessible mountainous areas in the tropics: The use of land cover and topographic parameters in a case study in Thailand , 2014 .

[11]  L. Bruijnzeel,et al.  Hydrological functions of tropical forests: not seeing the soil for the trees? , 2004 .

[12]  Vijay P. Singh,et al.  SCS-CN based time-distributed sediment yield model , 2008 .

[13]  Norman Kerle,et al.  Object-based gully feature extraction using high spatial resolution imagery , 2011 .

[14]  Bingfang Wu,et al.  Assessment of soil erosion and sediment delivery ratio using remote sensing and GIS: a case study of upstream Chaobaihe River catchment, north China , 2008 .

[15]  A. N. Strahler Quantitative analysis of watershed geomorphology , 1957 .

[16]  Evaluation of rainfall energy in central Italy. , 1980 .

[17]  J. Monteith Light Interception and Radiative Exchange in Crop Stands , 1969 .

[18]  C. Quansah Laboratory experimentation for the statistical derivation of equations for soil erosion modelling and soil conservation design , 1982 .

[19]  J. Wolf,et al.  WOFOST: a simulation model of crop production. , 1989 .

[20]  Gerard Govers,et al.  Erosion models: quality of spatial predictions , 2003 .

[21]  Rattan Lal,et al.  Principles of Soil Conservation and Management , 2008 .

[22]  Anton Vrieling,et al.  Towards large-scale monitoring of soil erosion in Africa: Accounting for the dynamics of rainfall erosivity , 2014 .

[23]  W. Rawls,et al.  Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions , 2006 .

[24]  G. Rauws,et al.  Hydraulic and soil mechanical aspects of rill generation on agricultural soils , 1988 .

[25]  Geert Sterk,et al.  Modelling catchment‐scale erosion patterns in the East African Highlands , 2005 .

[26]  V. Singh,et al.  SCS-CN-based modeling of sediment yield , 2006 .

[27]  Stein T. Holden,et al.  Land degradation, drought and food security in a less‐favoured area in the Ethiopian highlands: a bio‐economic model with market imperfections , 2004 .

[28]  R. Shrestha,et al.  Calibration and validation of the Modified Universal Soil Loss Equation for estimating sediment yield on sloping plots: A case study in Khun Satan catchment of Northern Thailand , 2010 .

[29]  Zhiyun Ouyang,et al.  Spatial patterns and impacts of soil conservation service in China , 2014 .

[30]  David Pimentel,et al.  Soil Erosion: A Food and Environmental Threat , 2006 .

[31]  Shengtian Yang,et al.  A Soil Erosion Assessment of the Upper Mekong River in Yunnan Province, China , 2014 .

[32]  L. Mabit,et al.  Assessment of soil erosion and deposition rates in a Moroccan agricultural field using fallout 137Cs and 210Pbex. , 2013, Journal of environmental radioactivity.

[33]  Norman Kerle,et al.  Quantifying temporal changes in gully erosion areas with object oriented analysis , 2015 .

[34]  M. Benmansour,et al.  Use of (137)Cs technique for soil erosion study in the agricultural region of Casablanca in Morocco. , 2003, Journal of environmental radioactivity.

[35]  Leon D. van Rensburg,et al.  Characterisation of rainfall at a semi-arid ecotope in the Limpopo Province (South Africa) and its implications for sustainable crop production , 2010 .

[36]  H. Keulen,et al.  A simple and universal crop growth simulator: SUCROS87. , 1989 .

[37]  W. Rawls,et al.  Estimation of Soil Water Retention and Hydraulic Properties , 1989 .

[38]  C. Brandt,et al.  Simulation of the size distribution and erosivity of raindrops and throughfall drops , 1990 .

[39]  R. Nijmeijer,et al.  ILWIS 3.0 Academic : user's guide , 2001 .

[40]  V. Jetten,et al.  Exploring effects of rainfall intensity and duration on soil erosion at the catchment scale using openLISEM: Prado catchment, SE Spain , 2012 .

[41]  David Favis-Mortlock,et al.  Evaluation of field-scale and catchment-scale soil erosion models , 1999 .

[42]  A. D. Roo,et al.  LISEM: a single-event physically based hydrological and soil erosion model for drainage basins; I: theory, input and output , 1996 .

[43]  Luca Montanarella,et al.  Soil erosion risk assessment in Italy , 1999 .

[44]  Mingyong Zhu Soil erosion assessment using USLE in the GIS environment: a case study in the Danjiangkou Reservoir Region, China , 2015, Environmental Earth Sciences.

[45]  R. Lal,et al.  Deforestation and land‐use effects on soil degradation and rehabilitation in western Nigeria. III. Runoff, soil erosion and nutrient loss , 1996 .

[46]  E. Bergsma,et al.  Rain erosion hazard evaluated from microtopographic erosion features on arable fields and forest: a case study in nepal , 2003 .

[47]  Irene Marzolff,et al.  Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco , 2012, Remote. Sens..

[48]  Z. Gu,et al.  Regional soil erosion assessment from remote sensing data in rehabilitated high density canopy forests of southern China , 2014 .

[49]  Luca Montanarella,et al.  Soil erosion risk assessment in Europe , 2000 .

[50]  Saowanee Wijitkosum Impacts of Land Use Changes on Soil Erosion in Pa Deng Sub-district, Adjacent Area of Kaeng Krachan National Park, Thailand , 2018 .

[51]  J. Galindo‐Zaldívar,et al.  Plio-Quaternary paleostresses in the Atlantic passive margin of the Moroccan Meseta: Influence of the Central Rif escape tectonics related to Eurasian-African plate convergence , 2014 .

[52]  Chris M. Mannaerts,et al.  Selecting best mapping strategies for storm runoff modeling in a mountainous semi‐arid area , 2014 .

[53]  D.D.V. Morgan,et al.  A predictive model for the assessment of soil erosion risk , 1984 .

[54]  G. R. Foster,et al.  Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE) , 1997 .

[55]  William J. Elliot,et al.  WEPP-Predicting water erosion using a process-based model , 1997 .