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  1. Article ; Online: Analysis and simulation of nitrogen loss during water erosion process on windward slope under wind-driven rain conditions

    An, Miaoying / Xing, Weiming / Han, Yuguo / Zhou, Jinxing / Qu, Zhixu / Zhao, Chenyang / Xu, Pan

    Catena. 2023 July, v. 228 p.107146-

    2023  

    Abstract: Wind-driven rain (WDR) is a common source of soil erosion in nature and usually occurs on windward slopes. This study investigated the effects of WDR events at different wind velocities of 0, 2, 3, 5, 7, 8 m s⁻¹ and rainfall intensities of 30, 60, 90 mm ... ...

    Abstract Wind-driven rain (WDR) is a common source of soil erosion in nature and usually occurs on windward slopes. This study investigated the effects of WDR events at different wind velocities of 0, 2, 3, 5, 7, 8 m s⁻¹ and rainfall intensities of 30, 60, 90 mm h⁻¹ on runoff, sediment yield, and total nitrogen (TN) loss processes on windward slopes. Additionally, the study constructed quantitative relationships between TN loss rate and simultaneous runoff and sediment using indoor simulated WDR experiments. The distributed soil erosion model KINEROS2 was then modified to embedded with these relationships, and used to simulate and verify the runoff, sediment yield, and TN loss processes during WDR events on windward slopes. The results showed an initial substantial increase followed by a gradual stabilization trend in runoff rates, sediment yield loss rates, and sediment-associated TN loss rates on windward slopes. As wind velocity increased from 0 to 8 m s⁻¹ under a rainfall intensity of 90 mm h⁻¹, the average runoff rate, sediment yield rate, and sediment-associated TN loss rate decreased linearly by 4.30%–16.13%, 9.82%–34.44%, and 14.54–46.42%, respectively. However, runoff-associated TN loss rate increased in a linear trend of 26.49%–137.59%. Similar trends were observed at rainfall intensities of 30 and 60 mm h⁻¹. When simulated using the KINEROS2 and nitrogen migration model embedded with mathematical relationships between wind velocity and soil erosion and TN loss on windward slopes, the NSE and R² of runoff, sediment, and TN loss processes were 0.49–0.83 and 0.59–0.89, 0.21–0.82 and 0.42–0.88, and 0.21–0.73 and 0.38–0.83, respectively. This study provides insights into the effects of WDR events on TN loss at plot scale and offers guidance for KINEROS2 application under WDR conditions at different slope directions and watershed scales.
    Keywords catenas ; nitrogen ; rain ; rain intensity ; runoff ; sediment yield ; sediments ; soil erosion models ; topographic slope ; total nitrogen ; water erosion ; watersheds ; wind speed ; Soil erosion ; Total nitrogen loss ; Windward slope ; Wind-driven rain ; KINEROS2 model
    Language English
    Dates of publication 2023-07
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 519608-5
    ISSN 1872-6887 ; 0008-7769 ; 0341-8162
    ISSN (online) 1872-6887 ; 0008-7769
    ISSN 0341-8162
    DOI 10.1016/j.catena.2023.107146
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Effects of different wind directions on soil erosion and nitrogen loss processes under simulated wind-driven rain

    An, Miaoying / Han, Yuguo / Zhao, Chenyang / Qu, Zhixu / Xu, Pan / Wang, Xiuru / He, Xin

    Catena. 2022 Oct., v. 217 p.106423-

    2022  

    Abstract: Wind-driven rain" is the main form of natural rainfall. Wind affects runoff, soil, and nutrient loss processes on slopes by changing rainfall characteristics. Wind direction is one of the main factors affecting the falling trajectory of raindrops, ... ...

    Abstract "Wind-driven rain" is the main form of natural rainfall. Wind affects runoff, soil, and nutrient loss processes on slopes by changing rainfall characteristics. Wind direction is one of the main factors affecting the falling trajectory of raindrops, raindrop splash angle, and direction of the rainfall erosivity force. However, existing research on soil displacement and nitrogen loss driven by different wind directions and rainfall is still lacking. Based on a simulated wind-driven rain experiment, this study explored the influence of different wind directions (leeward, windward, and crosswind) on runoff, sediment yield, and nitrogen loss on slopes. The results showed that wind direction had a significant influence on runoff, sediment yield, and nitrogen loss in both runoff and sediment. The influence of wind direction on the slope runoff and sediment yield rates was leeward > crosswind > windless > windward. Compared with windless rainfall, the average runoff rate and sediment yield rate under leeward rainfall and crosswind rainfall increased by 6.17%-11.56% and 37.75%-41.58%, and 1.80%-2.40% and 13.31%-18.12%, respectively, while under windward rainfall, they decreased by 5.13%-7.38% and 7.86%-13.02%, respectively. Hydrodynamic parameters are physical parameters that characterize the process of sand-bearing shallow flow acting on surface soil particles. The mean flow velocity and unit stream power affected by the wind direction were ranked: leeward > windless > crosswind > windward. The mean flow velocity and unit stream power under leeward conditions were both 1.31 times those under windless conditions, indicating that leeward wind strengthened the erosion effect of the slope flow on the soil. The mean flow velocity and unit stream power caused by different wind directions may be the main reasons for soil erosion processes. The average nitrogen loss rate in runoff was ranked: windward > crosswind > windless > leeward. The law of nitrogen loss rate in the sediment is consistent with the regularity of the sediment yield rate in all wind directions, which increased respectively by 60.18%-163.86% and 19.39%-69.57% under leeward and crosswind conditions, respectively, and decreased by 10.23%-25.15% under windward conditions when compared to windless treatment. Therefore, when the intensity of wind-driven rain is constant, the impact of wind direction on slope runoff, sediment yield, and nitrogen loss is uncertain and may be either positive or negative. The angle between the raindrop movement direction and the runoff flow direction on the slope changes owing to the influence of different wind directions. This leads to changes in the slope infiltration rate, hydrological characteristics, and soil crusting process, and is one of the main reasons for the difference in soil erosion and nutrient loss rates.
    Keywords catenas ; hydrodynamics ; infiltration rate ; nitrogen ; rain ; runoff ; sediment yield ; sediments ; soil ; soil erosion ; streams ; wind direction ; Wind-driven rain ; Nitrogen loss
    Language English
    Dates of publication 2022-10
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 519608-5
    ISSN 1872-6887 ; 0008-7769 ; 0341-8162
    ISSN (online) 1872-6887 ; 0008-7769
    ISSN 0341-8162
    DOI 10.1016/j.catena.2022.106423
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Adaptability analysis and model development of various LS-factor formulas in RUSLE model: A case study of Fengyu River Watershed, China

    Zhang, Tianpeng / Lei, Qiuliang / Du, Xinzhong / Luo, J. / An, Miaoying / Fan, Bingqian / Zhao, Ying / Wu, Shuxia / Ma, Yonggang / Liu, Hongbin

    Geoderma. 2023 Nov., v. 439 p.116664-

    2023  

    Abstract: The slope length and slope steepness factor (LS-factor) formula in the Revised Universal Soil Loss Equation (RUSLE) has a considerable level of uncertainty due to the existence of multiple methods. In this study, four commonly used formulas for the slope ...

    Abstract The slope length and slope steepness factor (LS-factor) formula in the Revised Universal Soil Loss Equation (RUSLE) has a considerable level of uncertainty due to the existence of multiple methods. In this study, four commonly used formulas for the slope length factor and two formulas for the slope gradient factor were chosen and combined based on their applicability to the specific research context. Based on the ModelBuilder in ArcGIS Pro 3.0, a RUSLE calculation model (RUSLE-Cal model) was constructed in the study, which can automatically calculate the soil erosion modulus using four commonly used RUSLE formulas and one combination formula. Taking the Fengyu River watershed in China as a case study, this research analyzes the uncertainty of different LS-factor formulas and validates the accuracy of RUSLE simulation results using measured sediment data. The optimal combination of LS-factor formulas is selected, and an in-depth analysis is conducted on the origins and suitability of each formula. The accuracy validation results indicate that, for the Fengyu River watershed, the optimal combination of L-factor and S-factor formulas were determined based on the slope gradient. Specifically, L1 formula was used when slope ≤ 10°, and L3 formula was used when slope greater than 10°. Similarly, S1 formula was used when slope ≤ 18°, and S2 formula was used when slope greater than 18°. The RUSLE model achieved the best simulation results with a relative error of 5.55%. The results of the uncertainty analysis indicate that the four formulas have a significant impact on the simulated soil erosion, with a RE ranging from −99.18% to 31.49%. Therefore, based on literature review and formula analysis, a suitability selection table for L-factor and S-factor formulas is provided, which can provide formula basis for the improvement of soil erosion in watershed models.
    Keywords Revised Universal Soil Loss Equation ; case studies ; rivers ; sediments ; soil erosion ; topographic slope ; uncertainty ; uncertainty analysis ; watersheds ; China ; Revised Universal Soil Loss Equation (RUSLE) ; Slope length and slope steepness factor (LS-factor) ; ModelBuilder
    Language English
    Dates of publication 2023-11
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 281080-3
    ISSN 1872-6259 ; 0016-7061
    ISSN (online) 1872-6259
    ISSN 0016-7061
    DOI 10.1016/j.geoderma.2023.116664
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: The optimal soil water content models based on crop-LAI and hyperspectral data of winter wheat

    An, Miaoying / Xing, Weimin / Han, Yuguo / Bai, Qingmeng / Peng, Zhigong / Zhang, Baozhong / Wei , Zheng / Wu, Wenbiao

    Irrigation science. 2021 Nov., v. 39, no. 6

    2021  

    Abstract: The use of spectral data to predict soil water content has gained wide application in agricultural science. However, it is difficult to guarantee crop water status prediction accuracy based on spectral parameters because the physiological indices and ... ...

    Abstract The use of spectral data to predict soil water content has gained wide application in agricultural science. However, it is difficult to guarantee crop water status prediction accuracy based on spectral parameters because the physiological indices and crop water status change daily. Therefore, screening representative crop growth indicators could improve the accuracy of the crop water prediction model. In this study, winter wheat was used as the crop of interest. Initially, spectral characteristics proposed by previous studies were selected and screened. Subsequently, soil water content prediction models were constructed based on a combination of crop leaf area index (LAI) and its spectral characteristics and crop growth physiological indices to predict the field soil water content. These models were constructed using three types of parameters, including single spectral characteristics of canopy water content, single spectral characteristics of canopy water content and measured LAI, as well as spectral characteristics of both canopy water content and LAI. The coefficient of determination (R²) that reflects the reliability of the models was 0.31–0.36, 0.57–0.62, and 0.45–0.54, respectively. The model constructed based on measured LAI and spectral characteristics was the most accurate in each growth period and the whole growth period of winter wheat, followed by that based on dual-spectral characteristics, whereas the single spectral characteristics model was the least accurate. The R² of the model constructed based on measured LAI and characteristic spectral parameters of canopy water content increased by 0.47, 0.16, 0.69, and 0.37 during the entire growth period, respectively, implying that combining LAI with spectral characteristics can improve the accuracy of soil water content prediction models. However, it was difficult to obtain the relevant measured index for the models constructed using measured LAI. Therefore, the dual-spectral characteristics model was recommended as the most appropriate for practical application.
    Keywords agricultural sciences ; canopy ; irrigation ; leaf area index ; models ; prediction ; soil water content ; spectral analysis ; water content ; winter wheat
    Language English
    Dates of publication 2021-11
    Size p. 687-701.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 133938-2
    ISSN 1432-1319 ; 0342-7188
    ISSN (online) 1432-1319
    ISSN 0342-7188
    DOI 10.1007/s00271-021-00745-z
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Optimization of the N footprint model and analysis of nitrogen pollution in irrigation areas: A case study of Ningxia Hui Autonomous Region, China.

    Zhang, Tianpeng / Lei, Qiuliang / Liang, Xia / Lindsey, Stuart / Luo, Jiafa / Pei, Wei / Du, Xinzhong / Wu, Shuxia / An, Miaoying / Qiu, Weiwen / Liu, Hongbin

    Journal of environmental management

    2023  Volume 340, Page(s) 118002

    Abstract: Water diverted from rivers for irrigation areas often contains large amounts of nitrogen (N), which is frequently overlooked and its role in contributing to N pollution is unknown. To investigate the influence of water diversion on N in different systems ...

    Abstract Water diverted from rivers for irrigation areas often contains large amounts of nitrogen (N), which is frequently overlooked and its role in contributing to N pollution is unknown. To investigate the influence of water diversion on N in different systems within irrigation areas, we developed and optimized the N footprint model, taking into account the N carried by irrigation water diversion and drainage in irrigated areas. This optimized model can serve as a reference for evaluating N pollution in other irrigated areas. By analyzing 29 years (1991-2019) of statistical data from a diverted irrigation area in Ningxia Hui Autonomous Region (Ningxia), China, the study assessed the contribution of water diversion to N in agriculture, animal husbandry, and human domestic activities. The results demonstrated that water diversion and drainage accounted for 10.3% and 13.8% in whole system, of the total N input and output in Ningxia, highlighting the potential N pollution risks associated with these activities. Additionally, the use of fertilizers in the plant subsystem, feed in the animal subsystem, and sanitary sewage in the human subsystem represented the main sources of N pollution in each subsystem. On a temporal scale, the study found that N loss increased year by year before reaching a stable level, indicating that N loss had reached its peak in Ningxia. The correlation analysis suggested that rainfall could regulate N input and output in irrigated areas by showing a negative correlation with water diversion, agricultural water consumption, and N from irrigated areas. Moreover, the study revealed that the amount of N brought by water diverted from rivers for irrigation should be taken into account when calculating the amount of fertilizer N required in the irrigation area.
    MeSH term(s) Humans ; Animals ; Nitrogen/analysis ; Agricultural Irrigation/methods ; Environmental Pollution/analysis ; Agriculture/methods ; Water/analysis ; China ; Fertilizers/analysis
    Chemical Substances Nitrogen (N762921K75) ; Water (059QF0KO0R) ; Fertilizers
    Language English
    Publishing date 2023-04-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.118002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: 'Response of particle detachment and hydrological processes on windward slope in laboratory flume experiments at different wind velocities and rainfall intensities

    An, Miaoying / Xie, Ying / Han, Yuguo / Wang, Xiuru / Zhang, Baozhong

    Catena. , p.107155-

    Page(s) 107155–

    Abstract: Wind-driven rain (WDR) is a natural phenomenon that causes soil erosion, a decline in land productivity, water pollution, and other environmental problems. Owing to the influence of topography on atmospheric circulation, WDR occurs most frequently on ... ...

    Abstract Wind-driven rain (WDR) is a natural phenomenon that causes soil erosion, a decline in land productivity, water pollution, and other environmental problems. Owing to the influence of topography on atmospheric circulation, WDR occurs most frequently on windward slopes. Studying the physical mechanisms of soil erosion on windward slopes is challenging because of the complex co-occurrence of wind and rainfall. This study aimed to investigate the effects of rainfall intensity (30, 60, and 90 mm h⁻¹), wind velocity (0, 2, 3, 5, 7, and 8 m s⁻¹), and induced flow hydraulic characteristics on the processes of runoff occurrence, infiltration, and sediment detachment on windward slopes based on an indoor artificial simulated WDR soil flume experiments with three replicates. The results showed that both rainfall intensity and wind velocity exerted significant effects on runoff and sediment transport on the windward slopes (P < 0.05). The contribution rates of wind velocity on runoff occurrence time, steady infiltration rate, runoff rate, and sediment detachment rate were 20.53%, 39.44%, 3.36%, and 6.24%, respectively. When the rainfall intensity was constant, the steady infiltration rate on the windward slope increased linearly with the increasing wind velocity, whereas the runoff and sediment detachment rates decreased with increasing wind velocity. The decrease in hydraulic parameters of average flow velocity (v), stream power (Ω), unit stream power (U), and unit energy of cross-section (E) influenced by wind blowing on overland flow is the main reason for the decrease in the sediment detachment rate on the windward slope. Meanwhile, the increase in flow depth (h) and shear stress (τ) caused an increase in the infiltration rate. Because of the inclusion of Ω and E in the total work done and total energy consumption of overland flow, respectively, the relationship between Ω and E of the windward water flow with the sediment detachment rate showed an exponentially increasing curve for all treatments (R² > 0.97). The hydraulic parameters Ω and E of the windward water flow are the optimal factors for constructing an erosion dynamic model under WDR conditions.
    Keywords atmospheric circulation ; catenas ; dynamic models ; energy ; hydraulic flumes ; infiltration rate ; land productivity ; overland flow ; rain ; rain intensity ; runoff ; sediment transport ; sediments ; shear stress ; soil ; soil erosion ; streams ; topographic slope ; water pollution ; wind speed ; Wind-driven rain ; Rainfall intensity ; Wind velocity ; Flow hydraulics ; Particle detachment ; WDR ; SSC ; h ; ν ; τ ; Ω ; U ; E
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 519608-5
    ISSN 1872-6887 ; 0008-7769 ; 0341-8162
    ISSN (online) 1872-6887 ; 0008-7769
    ISSN 0341-8162
    DOI 10.1016/j.catena.2023.107155
    Database NAL-Catalogue (AGRICOLA)

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