196 citations as recorded by crossref.

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4. Identification of the Relationship between Rainfall and the CN Parameter in Western Carpathian Mountain Catchments in Poland D. Młyński & A. Wałęga https://doi.org/10.3390/su12229317
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6. Spatiotemporal Analysis of Water Resources in the Haridwar Region of Uttarakhand, India S. Pathak et al. https://doi.org/10.3390/su12208449
7. SWAT model uncertainty analysis, calibration and validation for runoff simulation in the Luvuvhu River catchment, South Africa M. Thavhana et al. https://doi.org/10.1016/j.pce.2018.03.012
8. Analysis of Runoff Changes and Their Driving Forces in the Minjiang River Basin (Chengdu Section) in the Last 30 Years J. Liu et al. https://doi.org/10.3390/hydrology11080123
9. GIS based NRCS-CN modeling of rainfall-runoff in river Thamirabarani sub-basin, Southern India S. Kaliraj et al. https://doi.org/10.1016/j.jher.2023.07.001
10. Risk-based framework to determine climate-informed design storms for road drainage infrastructure M. Fereshtehpour et al. https://doi.org/10.1016/j.scitotenv.2025.180427
11. Application of cubic spline in soil erosion modeling from Narmada Watersheds, India S. Meshram et al. https://doi.org/10.1007/s12517-018-3699-8
12. Identifying Green Infrastructure as a Basis for an Incentive Mechanism at the Municipality Level in Biscay (Basque Country) G. Rodríguez-Loinaz et al. https://doi.org/10.3390/f9010022
13. Development of lag time and time of concentration for a tropical complex catchment under the influence of long-term land use/land cover (LULC) changes J. Abdulkareem et al. https://doi.org/10.1007/s12517-019-4253-z
14. Rainfall-runoff modeling: A modification of the EBA4SUB framework for ungauged and highly impervious urban catchments A. Petroselli et al. https://doi.org/10.1016/j.jhydrol.2021.127371
15. Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment A. Krajewski et al. https://doi.org/10.3390/w12020415
16. Soil Conservation Service Curve Number (SCS-CN) Method: Current Applications, Remaining Challenges, and Future Perspectives K. Soulis https://doi.org/10.3390/w13020192
17. Impact of Soil and Water Conservation Interventions on Watershed Runoff Response in a Tropical Humid Highland of Ethiopia D. Sultan et al. https://doi.org/10.1007/s00267-018-1005-x
18. Improving Runoff Prediction Accuracy in a Mountainous Watershed Using a Remote Sensing-Based Approach S. Fathololoumi et al. https://doi.org/10.3390/su151712754
19. Assessing SCS-CN and its revised models for Wadi runoff estimation in data-scarce Kuwait catchments A. Al-Juaidi & A. Aliewi https://doi.org/10.1007/s12517-025-12414-y
20. Runoff estimation using SCS-CN and GIS techniques in the Sulaymaniyah sub-basin of the Kurdistan region of Iraq B. Khzr et al. https://doi.org/10.1007/s10668-021-01549-z
21. Consideration of vegetation interception of rainfall within the SCS-CN model: Application to the west bank of Dianchi Lake J. Li et al. https://doi.org/10.1016/j.ejrh.2023.101490
22. Suspended sediment yield estimation using geomorphologic instantaneous unit sedimentgraph: a case study from the Southern Caspian Sea, Iran B. Hossein-Panahi et al. https://doi.org/10.1080/15715124.2024.2441444
23. Impact of land use changes and management practices on groundwater resources in Kolar district, Southern India K. Garg et al. https://doi.org/10.1016/j.ejrh.2020.100732
24. Multi-objective optimization for combined quality–quantity urban runoff control S. Oraei Zare et al. https://doi.org/10.5194/hess-16-4531-2012
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27. Surface runoff of Bekasi River subwatershed S. Yusuf et al. https://doi.org/10.1088/1755-1315/744/1/012108
28. Assessing Soil Erosion in the Ghorautra River Basin of Bangladesh: Using SCS-CN and RUSLE Methods within the GIS-RS Framework M. Miah et al. https://doi.org/10.1007/s12524-025-02276-y
29. Analysis of Problems Related to the Calculation of Flood Frequency Using Rainfall-Runoff Models: A Case Study in Poland D. Młyński https://doi.org/10.3390/su12177187
30. Investigation of basin characteristics: Implications for sub-basin-level vulnerability to flood peak generation R. Ranjan et al. https://doi.org/10.1007/s11069-022-05288-w
31. Development and testing of updated curve number models for efficient runoff estimation in steep-slope watersheds M. Ajmal et al. https://doi.org/10.1016/j.jhydrol.2022.129049
32. Improving Initial Abstraction Method of NRCS-CN for Estimating Effective Rainfall D. Park et al. https://doi.org/10.3741/JKWRA.2015.48.6.491
33. Impact of forecasted land use changes on flood risk in the Polish Carpathians M. Szwagrzyk et al. https://doi.org/10.1007/s11069-018-3384-y
34. Analyzing the runoff response to soil and water conservation measures in a tropical humid Ethiopian highland D. Sultan et al. https://doi.org/10.1080/02723646.2017.1302869
35. Can slope adjusted Curve Number models compensate runoff underestimation in steep watersheds?: A study over experimental plots in India I. Sharma et al. https://doi.org/10.1016/j.pce.2022.103185
36. Insights of remote sensing data to surmount rainfall/runoff data limitations of the downstream catchment of Pineios River, Greece M. Elhag & N. Yilmaz https://doi.org/10.1007/s12665-020-09289-5
37. Subway travel risk evaluation during flood events based on smart card data D. Sun et al. https://doi.org/10.1080/19475705.2022.2134056
38. Curve number estimation using rainfall and runoff data from five catchments in Sudan S. Ibrahim et al. https://doi.org/10.1515/geo-2022-0356
39. Rainfall–Surface Runoff Estimation Using SCS-CN Model and Geospatial Techniques: A Case Study of the Shatt Al-Arab Region, Iraq–Iran H. Allafta et al. https://doi.org/10.3390/earth7010032
40. Assessment of groundwater vulnerability to anthropogenic pollution and seawater intrusion in a small tropical island using index-based methods N. Kura et al. https://doi.org/10.1007/s11356-014-3444-0
41. Direct runoff assessment using modified SME method in catchments in the Upper Vistula River Basin A. Wałęga et al. https://doi.org/10.1007/s11600-017-0033-x
42. Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony T. Luong et al. https://doi.org/10.3390/hydrology7040084
43. Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing M. Moniruzzaman et al. https://doi.org/10.3390/rs13010083
44. Estimation of peak runoff and frequency in an ungauged stream of a forested watershed for flood hazard mapping R. Karagül & T. Çitgez https://doi.org/10.1007/s11676-018-0650-5
45. Estimation of SCS Curve Number variation following forest fires K. Soulis https://doi.org/10.1080/02626667.2018.1501482
46. Climate and hydrological models to assess the impact of climate change on hydrological regime: a review R. Kour et al. https://doi.org/10.1007/s12517-016-2561-0
47. Development of a Direct Geomorphologic IUH Model for Daily Runoff Estimation in Ungauged Watersheds S. Hosseini et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001333
48. Coupling Modified Linear Spectral Mixture Analysis and Soil Conservation Service Curve Number (SCS-CN) Models to Simulate Surface Runoff: Application to the Main Urban Area of Guangzhou, China J. Xu et al. https://doi.org/10.3390/w8120550
49. Statistical analysis of NRCS curve number (NRCS-CN) in arid basins based on historical data M. Farran & A. Elfeki https://doi.org/10.1007/s12517-019-4993-9
50. Assessing the effect of climate change on groundwater use in Demre coastal aquifer (Antalya, Turkey), coupled use of climate scenarios and numerical flow modeling P. Avcı et al. https://doi.org/10.1007/s12665-021-09517-6
51. Small-Farm Reservoir Contribution to Annual Crop Cultivation in Rainfed Paddy Field under Tropical Monsoon Climate D. Ariyanto et al. https://doi.org/10.7132/jrcsa.21_2_1
52. Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization Y. Tikhamarine et al. https://doi.org/10.1016/j.jhydrol.2020.125133
53. Exploring ANFIS hybrid optimization for improved rainfall-runoff predictions: insights from Banjar River Catchment, India R. Bochare et al. https://doi.org/10.1007/s10668-025-06284-3
54. Assessment of the Soil Conservation Service–Curve Number method performance in a tropical Oxisol watershed G. Alves et al. https://doi.org/10.2489/jswc.74.5.500
55. Runoff reduction from extensive green roofs having different substrate depth and plant cover K. Soulis et al. https://doi.org/10.1016/j.ecoleng.2017.01.031
56. Spatial discretization influence on flood modeling using unit hydrograph theory A. Steinmetz et al. https://doi.org/10.1590/2318-0331.241920180143
57. Improved Runoff Estimation Using Event-Based Rainfall-Runoff Models M. Ajmal et al. https://doi.org/10.1007/s11269-015-0924-z
58. A Modified Distributed CN-VSA Method for Mapping of the Seasonally Variable Source Areas K. Panjabi et al. https://doi.org/10.3390/w13091270
59. SCS-CN and GIS-Based Approach for Estimating Runoff in Western Region of Saudi Arabia A. Alataway https://doi.org/10.4236/gep.2023.113003
60. Integrating rapid assessment of flood proneness into urban planning under data constraints: a fuzzy logic and bricolage approach R. Bardhan https://doi.org/10.1080/23792949.2017.1338523
61. Variation of floatable litter load and its compositions captured at floating debris boom (FDB) structure N. Malik et al. https://doi.org/10.1007/s10163-020-01065-8
62. Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method R. Hernández-Guzmán et al. https://doi.org/10.2166/hydro.2020.087
63. Changes in soil hydraulic properties, soil moisture and water balance in Acacia senegal plantations of varying age in Sudan W. Abaker et al. https://doi.org/10.1016/j.jaridenv.2017.12.004
64. تقدير الجريان السطحي للاودية الجافة شرق بحيرة الشارع باستخدام طريقة (SCS-CN) وتحليلها باستخدام تقنية الجيوماتكس ص. غفار السامرائي & ر. فاضل https://doi.org/10.25130/jtuh.32.8.1.2025.8
65. Hydrological Response of Natural Mediterranean Watersheds to Forest Fires K. Soulis et al. https://doi.org/10.3390/hydrology8010015
66. Comparative Assessment of Environmental Flow Estimation Methods in a Mediterranean Mountain River C. Papadaki et al. https://doi.org/10.1007/s00267-017-0878-4
67. Pesticide occurrence and persistence entering recreational lakes in watersheds of varying land uses J. Satiroff et al. https://doi.org/10.1016/j.envpol.2020.116399
68. A Critical Review of the Soil Conservation Services – Curve Number Method in Hydrological Modelling K. Sreejith et al. https://doi.org/10.1007/s13157-024-01873-w
69. Estimating hydrological parameters based on rainfall patterns in river basins with no long-term historical observations H. Shi & T. Li https://doi.org/10.1016/j.jhydrol.2017.08.030
70. Improvement of the integration of Soil Moisture Accounting into the NRCS-CN model P. Durán-Barroso et al. https://doi.org/10.1016/j.jhydrol.2016.09.053
71. Green roof runoff reduction under different substrate depths and vegetation covers: the effect of initial substrate moisture conditions and total rainfall depth K. Soulis et al. https://doi.org/10.17660/ActaHortic.2017.1189.108
72. Flood Risk Assessment and Driving Factors in the Songhua River Basin Based on an Improved Soil Conservation Service Curve Number Model K. Liu et al. https://doi.org/10.3390/w17101472
73. نمذجة خصائص الجريان السطحي للاحواض النهرية في مدينة كركوك باستخدام طريقةCn - Scs د. حميد الجبوري & س. كعود https://doi.org/10.25130/jtuh.32.3.6.2025.10
74. Impact of Infiltration Process Modeling on Soil Water Content Simulations for Irrigation Management M. Feki et al. https://doi.org/10.3390/w10070850
75. Assessing the applicability of conceptual hydrological models for design flood estimation in small-scale watersheds of northern China W. Wang et al. https://doi.org/10.1007/s11069-020-03949-2
76. Flash Flood Disaster Reconstruction for Estimating the Available Warning Time, the Case in Sempor River on 21st of February 2020, Mt. Merapi Slope, Yogyakarta Special Region K. Sathya et al. https://doi.org/10.1088/1755-1315/930/1/012080
77. Testing the ability of an empirical hydrological model to verify a knowledge-based groundwater potential zone mapping methodology O. Aladejana et al. https://doi.org/10.1007/s40808-016-0234-3
78. Application of MCDM for biologically based management scenario analysis in integrated catchment assessment and management A. Keshtkar et al. https://doi.org/10.5004/dwt.2017.20257
79. Simulating the impact of roads on hydrological responses: examples from Swedish terrain A. Nickman et al. https://doi.org/10.2166/nh.2016.030
80. Assessment and Modeling of Green Roof System Hydrological Effectiveness in Runoff Control: A Case Study in Dublin M. Gholamnia et al. https://doi.org/10.1109/ACCESS.2024.3516313
81. An enhanced SMA based SCS-CN inspired model for watershed runoff prediction S. Verma et al. https://doi.org/10.1007/s12665-017-7062-2
82. Ascertainment of Hydropower Potential Sites Using Location Search Algorithm in Hunza River Basin, Pakistan A. Butt et al. https://doi.org/10.3390/w15162929
83. A modified NRCS-CN method for eliminating abrupt runoff changes induced by the categorical antecedent moisture conditions I. Sharma et al. https://doi.org/10.1016/j.jher.2022.07.002
84. Impact of satellite precipitation estimation methods on the hydrological response: case study Wadi Nu’man basin, Saudi Arabia E. Adem et al. https://doi.org/10.1007/s00704-024-04855-4
85. Evaluating SUDS Efficiency in Urban Environments: A Dual-Scale Methodology Applied to the City of Madrid A. Monachese et al. https://doi.org/10.3390/w18111268
86. Modeling of runoff water and runoff pesticide concentrations in upland bare soil using improved SPEC model L. Thinh et al. https://doi.org/10.1584/jpestics.D19-007
87. Runoff estimation using the SCS-CN method and GIS: a case study in the Wuseta watershed, upper blue Nile Basin, Ethiopia A. Mulu et al. https://doi.org/10.1007/s43832-025-00216-y
88. Comparison of the Curve Number Method (SCS-CN) Modifications and the Application of Measures for Soil Erosion Reduction and Flood Protection in Small Ungauged Catchments in the White Carpathian Mountains in Slovakia V. Rattayova et al. https://doi.org/10.1088/1755-1315/362/1/012084
89. Possibility of Using Selected Rainfall-Runoff Models for Determining the Design Hydrograph in Mountainous Catchments: A Case Study in Poland D. Młyński et al. https://doi.org/10.3390/w12051450
90. Assessment of the impacts of climate change and brackish irrigation water on rice productivity and evaluation of adaptation measures in Ca Mau province, Vietnam P. Deb et al. https://doi.org/10.1007/s00704-015-1525-8
91. Ciujung river basin flood risk assessment due to climate change and its countermeasure A. Putriasri et al. https://doi.org/10.1088/1755-1315/1343/1/012037
92. Quantifying Excess Stormwater Using SCS-CN–Based Rainfall Runoff Models and Different Curve Number Determination Methods M. Ajmal & T. Kim https://doi.org/10.1061/(ASCE)IR.1943-4774.0000805
93. Approach of Land Cover Based Asymptotic Curve Number Regression Equation to Estimate Runoff J. Ryu et al. https://doi.org/10.1002/ird.2047
94. Comparison of rainfall-runoff models for design discharge assessment in a small ungauged catchment D. Vaššová https://doi.org/10.17221/36/2012-SWR
95. On the Role of Hydrological Losses in Estimating Event Runoff Coefficients Using the NRCS Method Z. Eslami et al. https://doi.org/10.1007/s11269-023-03550-9
96. Impact of deforestation on runoff dynamics in the Wardha River sub-basin: a decadal analysis and future projections A. Sharma et al. https://doi.org/10.1007/s12517-025-12372-5
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98. Rainfall‐Runoff Estimation for Groundwater Enhancement Through Remote Sensing and GIS‐Based Geostatistical Model P. Kamaraj et al. https://doi.org/10.1002/hyp.70180
99. IMPACT OF LAND USE ACTIVITIES ON THE HYDROLOGICAL REGIME IN THE JUNJUNG RIVER BASIN, PENANG ISLAND, MALAYSIA F. Ata et al. https://doi.org/10.21837/pm.v21i30.1385
100. Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques T. Kumar & D. Jhariya https://doi.org/10.1080/10106049.2016.1213772
101. Floodplain Settlement Dynamics in the Maouri Dallol at Guéchémé, Niger: A Multidisciplinary Approach A. Galligari et al. https://doi.org/10.3390/su12145632
102. Alternative CN Averaging Methods for Determining the Representative CN of a Watershed Y. Her et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001021
103. Flood hydrograph simulation to estimate peak discharge in Ciliwung river basin M. Pratama et al. https://doi.org/10.1088/1755-1315/708/1/012028
104. Impact of Monthly Curve Number on Daily Runoff Estimation for Ozat Catchment in India M. Gundalia & M. Dholakia https://doi.org/10.4236/ojmh.2014.44014
105. Improved SCS-CN Methodology Incorporating Storm Duration and Temporally Decaying Retention for Enhanced Runoff Prediction S. Verma et al. https://doi.org/10.1061/JHYEFF.HEENG-6257
106. Urbanization and its impact on flood hazard: the case of Addis Ababa, Ethiopia A. Beshir & J. Song https://doi.org/10.1007/s11069-021-04873-9
107. Climate-informed flood risk mapping using a GAN-based approach (ExGAN) R. Belhajjam et al. https://doi.org/10.1016/j.jhydrol.2024.131487
108. Surface runoff response to long-term land use changes: Spatial rearrangement of runoff-generating areas reveals a shift in flash flood drivers R. Prokešová et al. https://doi.org/10.1016/j.scitotenv.2021.151591
109. Development of a new method for estimating SCS curve number using TOPMODEL concept of wetness index (case study: Kasilian and Jong watersheds, Iran) A. Azizian & A. Shokoohi https://doi.org/10.1007/s11600-019-00297-z
110. The use of spatial empirical models to estimate soil erosion in arid ecosystems M. Abdullah et al. https://doi.org/10.1007/s10661-017-5784-y
111. Optimization and Evaluation of Wetland Ecological Networks for Mitigating Urban Flooding H. Tong et al. https://doi.org/10.3390/w17101461
112. Sensitivity and fuzzy uncertainty analyses in the determination of SCS-CN parameters from rainfall–runoff data S. Hosseini & N. Mahjouri https://doi.org/10.1080/02626667.2018.1437272
113. Changes and controls of runoff generation in a watershed with substantial environmental change in China’s Loess Plateau M. Wang et al. https://doi.org/10.1007/s12665-025-12578-6
114. An Approach for Estimating Monthly Curve Number Based on Remotely-Sensed MODIS Leaf Area Index Products Z. Parisay et al. https://doi.org/10.1007/s11269-019-02279-8
115. Modelling Erosion and Floods in Volcanic Environment: The Case Study of the Island of Vulcano (Aeolian Archipelago, Italy) R. Bonasia et al. https://doi.org/10.3390/su142416549
116. Hybrid rainfall–runoff model with continuous infiltration experiments: a Mediterranean coastal basin of Madjez Ressoul in Algeria A. Dahak et al. https://doi.org/10.1007/s41207-024-00674-1
117. RUNOFF TREND AND POTENTIALITY IN MELAKA TENGAH CATCHMENT OF MALAYSIA USING SCS-CN AND STATISTICAL TECHNIQUE S. SHIRAZI et al. https://doi.org/10.3846/16486897.2016.1184153
118. Estimation of CN Parameter for Small Agricultural Watersheds Using Asymptotic Functions T. Kowalik & A. Walega https://doi.org/10.3390/w7030939
119. Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds K. Soulis & J. Valiantzas https://doi.org/10.1007/s11269-012-0082-5
120. Comparison of SCS-CN determination methodologies in a heterogeneous catchment A. Walega et al. https://doi.org/10.1007/s11629-015-3592-9
121. Impact of natural resource management interventions on water resources and environmental services in different agroecological regions of India K. Anantha et al. https://doi.org/10.1016/j.gsd.2021.100574
122. Determining potential rainwater harvesting sites using a continuous runoff potential accounting procedure and GIS techniques in central Italy M. Napoli et al. https://doi.org/10.1016/j.agwat.2014.04.012
123. Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation J. Ryu et al. https://doi.org/10.3390/w8040153
124. Data construction methodology for convolution neural network based daily runoff prediction and assessment of its applicability C. Song https://doi.org/10.1016/j.jhydrol.2021.127324
125. Urban spatial layout optimization from the “Double E” perspective to mitigate urban flooding in the context of urban expansion Y. Zhang et al. https://doi.org/10.1016/j.ejrh.2025.102790
126. Using SCS-CN and Earth Observation for the Comparative Assessment of the Hydrological Effect of Gradual and Abrupt Spatiotemporal Land Cover Changes E. Psomiadis et al. https://doi.org/10.3390/w12051386
127. Assessment of Leachate Production from a Municipal Solid-Waste Landfill through Water-Balance Modeling S. Beck-Broichsitter et al. https://doi.org/10.3390/geosciences8100372
128. Rainstorm‐generated sediment yield model based on soil moisture proxies (SMP) S. Gupta et al. https://doi.org/10.1002/hyp.13789
129. Engineered slope failure susceptibility modelling using high spatial resolution geospatial data S. Obrike et al. https://doi.org/10.1007/s10064-021-02413-0
130. Influence of land cover data sources on estimation of direct runoff according to SCS-CN and modified SME methods A. Walega & T. Salata https://doi.org/10.1016/j.catena.2018.08.032
131. Rapid Urbanization Impact on the Hydrological Processes in Zhengzhou, China J. Wang et al. https://doi.org/10.3390/w12071870
132. Use of Nonofficial Intermittent Waterfall Occurrence Data for the Validation of an Infiltration Model for Volcanic Jeju Island, Korea M. Kang & C. Yoo https://doi.org/10.3390/w15122260
133. Assessment of the Impacts of Land Use/Cover Change and Rainfall Change on Surface Runoff in China F. Li et al. https://doi.org/10.3390/su11133535
134. Influence of hydrological runoff and catchment characteristics on accumulation floatable litter load in gross pollutant trap (GPT) N. Malik et al. https://doi.org/10.1007/s10163-021-01205-8
135. Parameter recalculation for a rainfall-runoff model with a focus on runoff curve numbers T. Řehánek et al. https://doi.org/10.2478/geosc-2019-0013
136. Utilization of streamflow rates for determination of precipitation thresholds for landslides in a data-scarce region (Eastern Bartın, NW Türkiye) P. Avcı & M. Ercanoglu https://doi.org/10.1007/s12665-024-11487-4
137. Assessment of surface water potential and groundwater recharge in ungauged watersheds: a case study in Tamil Nadu, India K. Santhanam & M. Abraham https://doi.org/10.1007/s12665-018-7972-7
138. Evaluation of urban growth effects on surface runoff using SCS-CN method and Green-Ampt infiltration model C. Suribabu & J. Bhaskar https://doi.org/10.1007/s12145-014-0193-z
139. Modelling the water balance on farming practices at plot scale: Case study of Tougou watershed in Northern Burkina Faso C. Zouré et al. https://doi.org/10.1016/j.catena.2018.10.002
140. Assessment of Surface Runoff for Tank Watershed in Tamil Nadu Using Hydrologic Modeling M. Abraham & R. Mathew https://doi.org/10.1155/2018/2498648
141. GIS-based multicriteria approach for flood risk assessment in Sigus city, east Algeria W. Faregh & A. Benkhaled https://doi.org/10.1007/s12517-021-07314-w
142. The Use of Asymptotic Functions for Determining Empirical Values of CN Parameter in Selected Catchments of Variable Land Cover A. Wałęga et al. https://doi.org/10.1515/sgem-2017-0041
143. Reassessment of the hydrologic soil group for runoff modelling K. Auerswald & Q. Gu https://doi.org/10.1016/j.still.2021.105034
144. Revised runoff curve number for runoff prediction in the Loess Plateau of China W. Shi et al. https://doi.org/10.1002/hyp.14390
145. Assessment of Soil and Water Conservation Practices in the Loess Hilly Region Using a Coupled Rainfall-Runoff-Erosion Model M. Cai et al. https://doi.org/10.3390/su12030934
146. Restored vegetation dominates the decrease in surface and subsurface runoff on the Loess Plateau X. Yan et al. https://doi.org/10.1016/j.jhydrol.2024.131730
147. Effects of forest roads on the hydrological response of a small‐scale mountain watershed in Greece K. Soulis et al. https://doi.org/10.1002/hyp.10301
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