Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy

The aim of this study is the application of support vector machines (SVM) to landslide susceptibility mapping. SVM are a set of machine learning methods in which model capacity matches data complexity. The research is based on a conceptual framework targeted to apply and test all the procedural steps for landslide susceptibility modeling from model selection, to investigation of predictive variables, from empirical cross-validation of results, to analysis of predicted patterns. SVM were successfully applied and the final susceptibility map was interpreted via success and prediction rate curves and receiver operating characteristic (ROC) curves, to support the modeling results and assess the robustness of the model. SVM appeared to be very specific learners, able to discriminate between the informative input and random noise. About 78% of occurrences was identified within the 20% of the most susceptible study area for the cross-validation set. Then the final susceptibility map was compared with other maps, addressed by different statistical approaches, commonly used in susceptibility mapping, such as logistic regression, linear discriminant analysis, and naive Bayes classifier. The SVM procedure was found feasible and able to outperform other techniques in terms of accuracy and generalization capacity. The over-performance of SVM against the other techniques was around 18% for the cross-validation set, considering the 20% of the most susceptible area. Moreover, by analyzing receiver operating characteristic (ROC) curves, SVM appeared to be less prone to false positives than the other models. The study was applied in the Staffora river basin (Lombardy, Northern Italy), an area of about 275 km² characterized by a very high density of landslides, mainly superficial slope failures triggered by intense rainfall events.     

Geochemistry of trace elements in surface waters of the Arno River Basin,northern Tuscany,Italy

Trace element geochemistry of the Arno River and its main tributaries was investigated on the basis of two sampling campaigns carried out in November 1996 and June 1997. By analyzing filtered and unfiltered water samples, Fe and Al are found in solution mainly as colloidal particles of size lower than 0.45 μm. In June (lower flow rate), Fe and Al are enriched in the filtered waters from the main river, and this feature was interpreted in terms of higher water temperature promoting the formation of smaller particles, thus reducing their aggregation properties. Iron and Al show perfectly synchronous downstream profiles along the Arno River, correlate quite well each to other, and display abrupt concentration increases near to Florence, where the lithology of the catchment changes from siliciclastic dominated to clay-sand (lacustrine-marine)-dominated. The same behaviour is shown by most of the other trace elements in the river, thus supporting a general lithological control. Trace elements in the final part of the Arno River are influenced by flocculation processes in addition to mixing. Adsorption phenomena on oxy-hydroxides are denoted by good elemental correlations with Fe (and Al). Sporadic anomalous concentration values, possibly related to anthropogenic contributions, may prevent such correlations. Referring to the quality of waters for potable use and fish life, toxic elements are below the acceptable limits of current European regulations, with few exceptions for Hg exceeding guideline values. Multivariate analysis groups trace elements according to geochemical affinities and natural or anthropogenic sources, thus distinguishing contaminated from uncontaminated samples. The results achieved in this work will help regional and national Authorities for compliance with the EU water policy, especially in assessing the water quality at the river basin scale and its vulnerability to human activities.     

Volume-based soil particle fractal relation with soil erodibility in a small watershed of purple soil

The particle size distribution in small watershed changes under different land uses and affects soil erodibility. The aims of this study were (1) to investigate the volume fractal dimension of particle size distribution under different land uses in a typical small watershed of purple soil, (2) to estimate soil erodibilities of various land uses utilizing the Erosion-Productivity Impact Calculator (EPIC) model and the nomogram (NOMO) model, and (3) to relate volume fractal dimension with the soil erodibility used in the Universal Soil Loss Equation (USLE) in purple soil areas. Laser diffractions and double-logarithmic model were used to measure and calculate volume fractal dimension values. The results show that soil volume fractal dimensions were well linearly fitted to the double-logarithmic model with high correlation coefficients of 0.902–0.936 under six land uses in the small watershed. The averaged volume fractal dimension values under different land uses, from high to low were in the order of Zea mays L, Ipomoea batatas, Citrus reticulata Blanco, Setaria viridis, Robinia pseudoacacia L, Pinus massoniana Lamb. The volume fractal dimension was positively correlated to clay particle fraction (R = 0.933). The average soil erodibility values under different land uses from high to low were in the order of Setaria viridis, Citrus reticulata Blanco, Pinus massoniana Lamb, Zea mays L, Ipomoea batatas, Robinia pseudoacacia L while average soil erodibilities from high to low values were in the order of Setaria viridis, Citrus reticulata Blanco, Zea mays L, Ipomoea batatas, Pinus massoniana Lamb, Robinia pseudoacacia L. The soil erodibilities calculated by the two models were similar, and positively correlated (R = 0.630–0.877). The volume fractal dimension values of six land uses were negatively correlated to both soil erodibility estimated by EPIC and by NOMO models. Moreover, the correlations of the volume fractal dimension values of Zea mays L, Ipomoea batatas and Citrus reticulata Blanco estimated by EPIC or NOMO were lower than those of Pinus massoniana Lamb, Robinia pseudoacacia L and Setaria viridis. Further research is needed to determine the influence of volume fractal dimension on the soil erodibility under different land use and managements.     

科尔沁东部沙地土壤可风蚀性研究

使用筛析法和SA—CP3粒度分析仪对科尔沁东部沙的耕地、沙岗地和裸地7个表土样品进行分析测试。结果表明：①研究区表土粒度组成以细砂和中砂为主（50%-70％），土壤可风蚀性较高；②不同土地利用类型中，耕地土壤可风蚀性程度大于沙岗地和裸地；③同一流域不同位置的土壤可风蚀性程度，西辽河东岸大于西岸；④对大气的粉尘贡献率，耕地远大于沙岗地和裸地。     

Geoinformatics in morphological study of River Paglia,Tiber River basin,Central Italy

This work reports the results of a geomorphological study on the River Paglia (Tiber basin, Central Italy), to analyse the historical evolution of the riverbed/floodplain system in its lower valley reaches, upstream the confluence of River Tiber. A morphological–sedimentological approach has been used, starting with an historical analysis and a survey of the forms and sediments in the riverbed/alluvial plain system, in order to reconstruct the current evolutionary trend and to identify the causes and processes leading to changes in natural trends. This approach is not in contrast to the hydrologic–hydraulic one, normally applied in engineering fields, but it is integrated with it in a complementary and parallel manner, in order to achieve the complete knowledge of the river system, result of an investigation multidisciplinary, aimed to define its physical state. Historical data (cartographic documents, digital terrain models—DTM, topographic surveys, aerial photographs, etc.) indicate clear-cut narrowing and deepening of the active channel, manifested after the Second World War and due to the considerable changes which affected the entire fluvial system (from the recovery of land for agriculture near the river, to sediments taken from its bed over the past few decades). The result is a state of great disequilibrium, which is shown in the passage from a braided morphology, observed in the 1950s, to a single channel with low sinuosity (wandering type). This type of morphology is certainly more unstable: in fact, the narrowing and deepening of fluvial sections provide a better hydraulic efficiency for the upstream, so the peak discharge does not overflow. Such peak discharge arrives downstream, next to the confluence with the Tiber River, not laminated, causing serious flooding effects. An increased vulnerability is observed in the last reach, in the areas pertaining to the river, where most of the industrial-economic activities are concentrated and where transportation infrastructures of nationwide importance (Italy’s most important motorway, the A1, and the Rome–Florence–Milan high-speed rail links) are located. The evolution of the Paglia (which is not substantially different from that of many streams in Italy and in general throughout Europe) is affected by severe anthropic constraints and intense exploitation of resources, which have produced a state of disequilibrium approaching irreversibility in an already vulnerable system. Finally, some suggestions for the correct management of the river system are pointed out, with the aim of mitigating the flood risk in the lower Paglia valley.     

Assessing spatial uncertainty in mapping soil erodibility factor using geostatistical stochastic simulation

Soil erosion is one of most widespread process of degradation. The erodibility of a soil is a measure of its susceptibility to erosion and depends on many soil properties. Soil erodibility factor varies greatly over space and is commonly estimated using the revised universal soil loss equation. Neglecting information about estimation uncertainty may lead to improper decision-making. One geostatistical approach to spatial analysis is sequential Gaussian simulation, which draws alternative, equally probable, joint realizations of a regionalised variable. Differences between the realizations provide a measure of spatial uncertainty and allow us to carry out an error analysis. The objective of this paper was to assess the model output error of soil erodibility resulting from the uncertainties in the input attributes (texture and organic matter). The study area covers about 30 km² (Calabria, southern Italy). Topsoil samples were collected at 175 locations within the study area in 2006 and the main chemical and physical soil properties were determined. As soil textural size fractions are compositional data, the additive-logratio (alr) transformation was used to remove the non-negativity and constant-sum constraints on compositional variables. A Monte Carlo analysis was performed, which consisted of drawing a large number (500) of identically distributed input attributes from the multivariable joint probability distribution function. We incorporated spatial cross-correlation information through joint sequential Gaussian simulation, because model inputs were spatially correlated. The erodibility model was then estimated for each set of the 500 joint realisations of the input variables and the ensemble of the model outputs was used to infer the erodibility probability distribution function. This approach has also allowed for delineating the areas characterised by greater uncertainty and then to suggest efficient supplementary sampling strategies for further improving the precision of K value predictions.     

The tectonic regime in Italy inferred from borehole breakout data

In Italy, the horizontal stress directions are well constrained in many regions, but the tectonic regime is not well known because the stress magnitudes are unknown. Our intention is to improve the knowledge of crustal stress in Italy, both at shallow depth and in low seismicity areas. Therefore, we inferred the tectonic regime from the comparison between the depth of breakout occurrence and the physical properties of the rocks in 20 boreholes. The critical value of the maximum horizontal stress, for which the effective tangential stress at the borehole wall overcomes the rock strength to form breakouts, could be computed from rock strength and density. Comparing the theoretical stress distributions for different tectonic regimes with the depth distribution of breakout occurrence, it is possible to infer the tectonic regime that fits best to the breakout depth distribution. We investigated boreholes up to 6 km deep located in different tectonic environments over the Italian peninsula: the Po Plain, the Apenninic chain, the Adriatic foredeep and the Tyrrhenian Quaternary volcanic region. These wells are characterised by breakout data of good quality (A, B and C, according to World Stress Map quality ranking system). The results are in general agreement with the style of faulting derived from earthquake focal mechanisms and other stress indicators. Our results show a predominance of a normal faulting (NF) regime in the inner Apennines and both normal faulting and strike–slip faulting (SS) style in the surrounding regions, possibly also associated with changes in the tectonic regime with depth.     

Conditional simulation of USLE/RUSLE soil erodibility factor by geostatistics in a Mediterranean Catchment,Turkey

Soil erosion is a major environmental problem that threatens the sustainability and productivity of agricultural areas. Assessment and mapping of soil erosion are extremely important in the management and conservation of natural resources. The universal soil loss equation (USLE/RUSLE) is an erosion model that predicts soil loss as a function of soil erodibility (K-factor), as well as topographic, rainfall, cover, and management factors. The traditional approach assumes that one soil erodibility value represents the entire area of each soil series. Therefore, that approach does not account for spatial variability of soil series. This study was carried out to evaluate the use of the sequential Gaussian simulation (SGS) for mapping soil erodibility factor of the USLE/RUSLE methodology. Five hundred and forty-four surface soil samples (0–20 cm) were collected from the study area to determine the soil erodibility. A simulation procedure was carried out on 300 realizations, and histogram and semivariogram of the simulation were compared to the observed values. The results showed that the summary statistics, histogram, and semivariogram of the simulation results were close to the observed values. In contrary to the traditional approach and kriging, 95% confidence interval of the simulated realizations was formed in order to determine uncertainty standard deviation map, and the uncertainty was explained numerically. The SGS produced a more reliable soil erodibility map and it can be more successfully used for monitoring and improving effective strategies to prevent erosion hazards especially to improve site specific management plans.     

Dust emission from desertified lands in the Heihe River Basin,Northwest China

The annual and seasonal dust emissions were calculated for eight types of desertified lands at 120 sites in the Heihe River Basin of northwestern China. The results showed that dust emission rates increased from the middle to the lower reaches of the river by a factor of up to 10³. There two strongest areas of dust emission are the dried-up Gaxun Lake with a dust emission rate of 1.6 t ha⁻¹ year⁻¹, and the desertified grassland areas around the abandoned Heicheng City, with a dust emission rate of 0.6–0.7 t ha⁻¹ year⁻¹. The total annual dust emissions with their particle diameters less than 50, 30, and 10 μm were 1.71 × 10⁶, 1.11 × 10⁶, and 0.555 × 10⁶ t, respectively. Dust emission rates showed striking seasonal variations, with the maximum value (45%) occurring in spring and the minimum value (13.5%) in summer. The mineral aerosol-size distributions were also measured and the results showed that the size distributions for dust and non-dust events were both trimodal, in contrast with the widely accepted view that primary particles such as aeolian dust are coarse, whereas particles less than 1 μm in diameter are mainly secondary particulate substances such as ammonium nitrate, ammonium sulfate, and organic matter.     

Regional hydrological thresholds for landslides and floods in the Tiber River Basin (central Italy)

 The definition of landslide warning thresholds, based on the analysis of hydrological data, is proposed. In the Tiber River Basin of central Italy historical information on landslides and floods, for the period 1918–1990, was available from a nationwide bibliographical and archive inventory on geohydrological catastrophes. Hydrological data were obtained from mean daily discharge records at various gauging stations within the basin. Several hundred hydrological events, broadly defined as a series of consecutive days having mean daily discharge exceeding a predefined value, were identified. Hydrological parameters obtained from the discharge records were used to rank the events according to their probability to trigger mass movements or inundations and to define regional thresholds for the occurrence of landslides and floods. The proposed approach, not lacking limitations, has conceptual and operational advantages, among which is the possibility of using historical information on geohydrological catastrophes. Received: 20 November 1996 · Accepted: 25 June 1997     

青木关岩溶槽谷流域不同土地利用类型土壤可蚀性分析

基于土壤实地采样和理化性质测试分析,采用EPIC模型K值计算方法,分析青木关岩溶槽谷流域的土壤理化性质、土壤可蚀性及其影响因子。结果发现：（1）青木关岩溶槽谷流域表层土壤（0~10 cm）可蚀性K值介于0.037 1~0.060 5之间,均值为0.048 5,中值为0.047 5,变异系数为10.71%,偏度和峰度值小于1;（2）表土机械组成中以粉粒含量为主,土壤质地属于粉壤土;有机质含量在13.98~52.24 g.kg-1之间,均值为29.20 g.kg-1;表土可蚀性K值与砂粒含量、有机碳含量呈极显著负相关,与粉粒含量呈极显著正相关,与黏粒含量呈负相关;（3）不同土地利用类型下的表土可蚀性K值以裸土地最大,为0.058 3,耕地次之,为0.053 4,其次为园地、荒草地和竹林,分别为0.048 3、0.047 8和0.046 9,针阔叶混交林最小,为0.0427,分别存在显著差异（P＜0.05）,变异系数介于2.7%～6.1%之间;受人类活动影响强烈的裸土地和耕地是本地区主要的泥沙策源地,恢复植被能有效提高土壤抗蚀能力;（4）不同土地利用类型土壤剖面K值均值为耕地（0.056 3）显著大于荒草地（0.051 6）与林地（0.048 1）（P＜0.05）,荒草地与林地K值间差异性不显著;K值剖面分布一致表现为0~35 cm相对较小且变化较大,土下35~60 cm随着深度的增加而增大。     

Passive‐roof thrusting in the Messinian Vena del Gesso Basin (Northern Apennines,Italy): constraints from field data and analogue models

We present the results of a study of the Vena del Gesso Basin (Romagna Apennines, Italy) integrating field analyses and analogue modelling. This basin represents one of the best‐preserved top‐thrust basins in the Northern Apennines foreland and is one of the few examples where primary evaporites, related to the Messinian salinity crisis of the Mediterranean, widely crop out. The structural style affecting the Messinian gypsum is examined to get insights into the mechanism responsible for the overall deformation features recognizable in the area. The evaporites are completely detached at the base and widespread back‐thrusts, repeatedly doubling these deposits, strongly contrast with the regional forelandward vergence of structures in the Apennines. On the basis of the comparison between field data and experimental results, the features characterising this area can be described as the result of the deformation linked to the sequential activation of an obliquely propagating passive‐roof duplex. Analogue models evidenced the major role played (1) by syntectonic erosion that promoted the development of passive‐roof duplex style, as well as (2) the role of décollement level pinch‐out that determined an oblique progression of deformation. Finally our data lead to reconsider the palaeoenvironmental reconstruction concerning the onset of the Messinian salinity crisis in the Mediterranean. Copyright © 2007 John Wiley & Sons, Ltd.     

金沙江大具盆地碎屑堆积体的土壤碳酸盐铀系测年

金沙江大具盆地中堆积着巨厚的碎屑沉积物, 覆盖于6级阶地之上, 拔河高度可达300 m以上, 其成因和年代都是我国地貌学的研究热点。由于大具盆地的碎屑堆积体岩性简单、分选性差, 缺乏合适的测年材料(如炭屑、火山灰、动物化石等), 此前仅有宇生核素¹⁰Be和²⁶Al暴露测年和光释光测年获得绝对测年数据。野外调查发现大具盆地碎屑堆积体中广泛发育着土壤碳酸盐, 而且其质地纯净致密, 适合于铀系测年, 可约束堆积体形成的最小年龄。为此, 采集了海拔高度分别在1859 m、1809 m、1738 m和1721 m的4处堆积体(DJ1、DJ2、DJ3和DJ4)中的34个土壤碳酸盐样品进行铀系测年。多接收器电感耦合等离子体质谱(MC-ICP- MS)的铀系测年结果显示这4处堆积体中土壤碳酸盐的最大年代分别为14.72±1.08 ka、11.30±0.17 ka、15.08±0.70 ka和16.34±1.22 ka都对应于末次冰消期。因此, 推测大具盆地中巨厚的碎屑沉积事件可能发生于末次冰消期或稍早时段, 最小年龄为16.34±1.22 ka。

     

Retrieval and validation of soil moisture from FRS-1 data set of radar imaging satellite (RISAT-1)

In this work, we estimated soil moisture (SM) by using dielectric constant properties of soil with radar backscattering coefficient (bc) from simulated annealing techniques of RISAT-1 (radar imaging satellite, based on synthetic aperture radar (SAR) technique) data. We examined the performance of simulated annealing in retrieving SM where the vegetation cover is not very high (NDVI ≈ 0.35 for wheat-dominated area on January 19, 2013).To overcome the land surface model limits on SM estimation accuracy, point measurement spatial coverage limits, and microwave remote sensing spatial-temporal sampling limits, we reduced uncertainties through a combination of these approaches. Near-surface SM measurements from the 5.35-GHz (C-band) channels of RISAT-1 were collocated against ground-truth data (collected during the flight time of RISAT-1 over the study area), to establish SAR-SM relationships for FRS-1(circular horizontal (RH) and circular vertical (RV)) data set of RISAT-1. Comparison with the limited ground-based point (total 24 points) measurements of SM content exhibited a net improvement when near-surface SM observations were assimilated. Comparison of the SM derived from the sigma naught (σ ⁰) (of RISAT-1 data set FRS-1) using the inversion algorithm with the observed measurements (using time domain reflectometry) of SM showed root mean square error of 0.24, nRMSE = 0.03, R-RMSE = 0.38, MAE = 0.63, NRMSE = 1.02, NSE = 1, d = 0.87, r ² = 0.65, and RMSE% = 12.79 for RH polarized image while RV polarized image failed each statistical test for predicting good SM with respect to the observed SM. The ability to extract additional information comes at the expense of including more measurements, especially at frequencies lower than the L-band. This approach is therefore intended for future space-borne systems.     

Wind erodibility in eastern Ningxia Province, China

Many methods have been used to study wind erosion, a common phenomenon in arid and semi-arid regions. This paper documents a 2006 field study in which sediment samplers and steel pins were used to measure soil erosion, and sand drift potential was used to estimate wind erosion and transport in the eastern part of Ningxia Province, China. Wind energy in the study area was found to be moderate and sediments were transported from northwest to southeast. Sediment transport differed depending on the surface type: sediment transport was greatest in areas of shifting dunes, with cultivated land, semi-fixed dunes, and fixed dunes showing progressively less transport. Sediment transport was lowest in shrubland areas. The depth of erosion was 66 in cultivated areas, 33 in shifting dunes, 28 in semi-fixed dunes, 20 in fixed dunes, and 3 mm in shrublands. The extensive erosion of sediment in cultivated lands and the resultant decrease in surface height results in serious degradation and loss of soil fertility.     

New mineral data from the kamafugitecarbonatite association: The melilitolite from Pian di Celle, Italy

Summary A detailed mineralogical investigation of a Pian di Celle sill rock (San Venanzo, Italy), classified asmelilitolite and associated withvenanzite and carbonatitic pyroclasts, revealed new and rare mineral parageneses, considered as characteristic of thekamafugite-carbonatite association. These are formed by several accessory minerals, including minerals of the cuspidine family, götzenite, khibinskite, minerals of the rhodesite- delhayelite- macdonaldite family, pyrrhotite, bartonite and (Fe, Ni, Co) monoarsenide, mostly optically and chemically identified also in fluid inclusions. The chemical composition of these minerals and their probable crystallisation succession, deduced from textural relationships, demonstrates extensive atomic substitutions, notably for Ca, Ti, Mg and alkali, essentially reflecting high concentrations of REE, Sr, Ba, Nb and Zr, which significantly varied during crystallisation. Molecular alkali excess over Al and high Ca content in (H₂O, F, CO₂)-rich, Siundersaturated liquid(s) are considered the dominant factors in controlling the stability of disilicate-type minerals. Separation of the carbonatite liquid from the silicate magma, constrained by textural and fluid inclusion data, was fundamental in moving the residuum onto a strongly peralkaline trend which stabilised the sulphides under changed redox conditions.

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Die Bedeutung seltener und neuer Mineral-Paragenesen aus der kamafugit-karbonatit-Assoziation: Der melilitolit von San Venanzo, Italien

Zusammenfassung Eine eingehende mineralogische Untersuchung eines Lagerganges von Pian di Celle, der als Melilitolit klassifiziert and mit Venanzit and karbonatitischen Pyroklasten assoziiert ist, ergab neue and seltene Mineral-Paragenesen, die als charakteristisch für die Kamafugit-Karbonatit-Assoziation gelten. Diese bestehen aus verschiedenen akzessorischen Mineralien, darunter Perovskit, Cuspidin, Götzenit, Khibinskit, Delhayelit, Macdonaldit, Bardonit and (Fe, Ni, Co) Monoarsenit; diese werden in Flüssigkeitseinschlüssen mit optischen and chemischen Methoden identifiziert. Die chemische Zusammensetzung dieser Minerale and ihre wahrscheinliche Kristallisationsabfolge, aus texturellen Beziehungen abgeleitet, zeigt extensive Substitutionen, vor allem für Ca, Ti, Mg and Alkelien, die im wesentlichen hohe Gehalte an SEE, Sr, Ba, Mb and Zr andeuten, die während der Kristallisation beträchtlichen Schwankungen unterlagen. Molekularer Alkali überschuß über Al in (H₂O, F, CO₂)-reichen Si-untersättigten Fluiden werden als wichtigste Faktoren für die Stabilität von Mineralen des DisilikatTyps gesehen. Trennung des Karbonatites vom Silikat, die durch texturelle und Flüssigkeitseinschluß-Daten genau fixiert werden konnte, war wichtig für die Verschiebung des Residuums auf einen deutlich peralkalinen Trend, welcher die Sulfide unter veränderten Redox-Bedingungen stabilisieren konnte.

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With 2 Figures     

Estimation of spatially distributed soil information: dealing with data shortages in the Western Bug Basin,Ukraine

Integrated watershed models require spatially differentiated soil information. However, in many regions of the world the limited availability of soil data hinders an appropriate simulation of hydro-ecological processes. Such circumstances lead to unsupported statements, poor statistics, misrepresentations, and, ultimately, to bad resource management. The Western Bug catchment in west Ukraine is an example of such a region. In the former Soviet Union, soil classification primarily focused on soils of agricultural importance, whereas, forested, urban, industrial, and shallow soil territories were left underrepresented in the classification and soil maps. Spatially differentiated soil texture data are required to predict soil hydraulic properties using pedotransfer functions (PTFs), along with soil maps. Furthermore, the Ukrainian soil texture scheme does not match the particle size classes commonly used with PTFs. To overcome these shortcomings, a fuzzy logic methodology was applied, based on terrain and vegetation/land use analysis and soil sampling, to close the information gaps. For the application of PTFs, a procedure was tested to estimate missing values of soil texture distribution. Applied methods were evaluated using recent soil surveys, measured soil texture, and water retention properties, while having in consideration the limitations brought by scarce soil data for integrated watershed modelling purposes.     

High effectiveness of GRACE data in daily-scale flood modeling: case study in the Xijiang River Basin,China

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