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Agricultural activities, as part of the natural resource management practice, impact soil and water quality at the watershed or catchment level. Field monitoring is often used to evaluate and acquire knowledge of the impacts of management practices on productivity and environment. Computer simulation models, after calibrated and validated, provide an efficient and effective alternative for evaluating the effects of agricultural practices on soil and water quality at the watershed level. The main objective is calibrate and validate the AnnAGNPS model relatively to runoff and peak flow using five hydrologic years data, for the rain and irrigation season. The study watershed is located in Portugal, and covers an area of 189 ha, divided into 18 fields belonging to four farmers. The climate is typically Mediterranean with continental influence, and the main crops are oat, tobacco, sorghum and maize. The calibration was done manually, but in a systematic away, in order to select values for the statistical parameters so that the model closely simulates runoff and peak flow. The results obtained in calibration and validation of the AnnAGNPS model, confirm a good or very good performance to simulate the peak flow and runoff volume at daily or event scale, in rainfall season. Also, the obtained results are a good indication of the validity of AnnAGNPS model to simulate runoff in irrigation to larger periods of time, for example irrigation season.

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Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterlyflowsthatpredominateduringthewarmperiod(springandsummer)anditislocatedonthe MediterraneancoastoftheIberianPeninsula. However,thecyclonicsituationspresenthighfrequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to thetotalrainfall,runoff,andsediment(showingthelowestefficiency)becauseofatmosphericstability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale based on the large dataset and number of soil erosion experimental stations.

Soil degradation by water is a serious environmental problem worldwide, with specific climatic factors being the major causes. We investigated the relationships between synoptic atmospheric patterns (i.e. weather types, WTs) and runoff, erosion and sediment yield throughout the Mediterranean basin by analyzing a large database of natural rainfall events at 68 research sites in 9 countries. Principal Component Analysis (PCA) was used to identify spatial relationships of the different WTs including three hydro-sedimentary variables: rainfall, runoff, and sediment yield (SY, used to refer to both soil erosion measured at plot scale and sediment yield registered at catchment scale). The results indicated 4 spatial classes of rainfall and runoff: (a) northern sites dependent on North (N) and North West (NW) flows; (b) eastern sites dependent on E and NE flows; (c) southern sites dependent on S and SE flows; and, finally, (d) western sites dependent on W and SW flows. Conversely, three spatial classes are identified for SY characterized by: (a) N and NE flows in northern sites (b) E flows in eastern sites, and (c) Wand SW flows in western sites. Most of the rainfall, runoff and SY occurred during a small number of daily events, and just a few WTs accounted for large percentages of the total. Our results confirm that characterization by WT improves understanding of the general conditions under which runoff and SY occur, and provides useful information for understanding the spatial variability of runoff, and SY throughout the Mediterranean basin. The approach used here could be useful to aid of the design of regional water management and soil conservation measures.