Runoff assessment in the Padma River Basin, Bangladesh: a GIS and RS platform in the SCS-CN approach

[1]  Ali Hagras Runoff modeling using SCS-CN and GIS approach in the Tayiba Valley Basin, Abu Zenima area, South-west Sinai, Egypt , 2023, Modeling Earth Systems and Environment.

[2]  M. Islam,et al.  Combined Impacts of Climate and Land Use Changes on Long-Term Streamflow in the Upper Halda Basin, Bangladesh , 2021, Sustainability.

[3]  B. Naik,et al.  Hydrological modeling with respect to impact of land-use and land-cover change on the runoff dynamics in Budhabalanga river basing using ArcGIS and SWAT model , 2021 .

[4]  Arieann Ali Hamid,et al.  Runoff estimation using SCS-CN and GIS techniques in the Sulaymaniyah sub-basin of the Kurdistan region of Iraq , 2021, Environment, Development and Sustainability.

[5]  S. Mishra,et al.  SCS-CN-Based Improved Models for Direct Surface Runoff Estimation from Large Rainfall Events , 2021, Water Resources Management.

[6]  Md Abul Ehsan Bhuiyan,et al.  Surface Runoff Responses to Suburban Growth: An Integration of Remote Sensing, GIS, and Curve Number , 2021, Land.

[7]  A. Z. Dewidar,et al.  Integrating GIS-Based MCDA Techniques and the SCS-CN Method for Identifying Potential Zones for Rainwater Harvesting in a Semi-Arid Area , 2021, Water.

[8]  Swapan Talukdar,et al.  Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh , 2021, Environmental Science and Pollution Research.

[9]  A. Ibrahim,et al.  Rainfall runoff modeling for the basin in Bukit Kledang, Perak , 2021 .

[10]  D. Seker,et al.  River channel migration and land-use/land-cover change for Padma River at Bangladesh: a RS- and GIS-based approach , 2021, International Journal of Environmental Science and Technology.

[11]  K. Soulis Soil Conservation Service Curve Number (SCS-CN) Method: Current Applications, Remaining Challenges, and Future Perspectives , 2021, Water.

[12]  A. Bera,et al.  Comparative Assessment of Livelihood Vulnerability of Climate Induced Migrants: A Micro Level Study on Sagar Island, India , 2021, Sustainability, Agri, Food and Environmental Research.

[13]  S. Mishra,et al.  Improved runoff curve numbers for a large number of watersheds of the USA , 2020 .

[14]  S. Verma,et al.  Activation soil moisture accounting (ASMA) for runoff estimation using soil conservation service curve number (SCS-CN) method , 2020 .

[15]  P. Karásek,et al.  Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments , 2020, Water.

[16]  A. Z. Dewidar,et al.  Estimation of Surface Water Runoff for a Semi-Arid Area Using RS and GIS-Based SCS-CN Method , 2020, Water.

[17]  Huaxing Bi,et al.  The Effects of Rainfall Intensities and Duration on SCS-CN Model Parameters under Simulated Rainfall , 2020 .

[18]  Ni Wang,et al.  An Improved SCS-CN Method Incorporating Slope, Soil Moisture, and Storm Duration Factors for Runoff Prediction , 2020, Water.

[19]  A. Mossad,et al.  Analyzing the geomorphometric characteristics of semiarid urban watersheds based on an integrated GIS-based approach , 2020, Modeling Earth Systems and Environment.

[20]  A. Zhu,et al.  CN-China: Revised runoff curve number by using rainfall-runoff events data in China. , 2020, Water research.

[21]  Vikas Kumar Rana,et al.  GIS-based multi criteria decision making method to identify potential runoff storage zones within watershed , 2020, Ann. GIS.

[22]  P. Caldwell,et al.  Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States , 2020 .

[23]  J. Maina,et al.  Simulating streamflow in the Upper Halda Basin of southeastern Bangladesh using SWAT model , 2020, Hydrological Sciences Journal.

[24]  M. F. Chow,et al.  A Calibrated, Watershed-Specific SCS-CN Method: Application to Wangjiaqiao Watershed in the Three Gorges Area, China , 2019, Water.

[25]  Deren Li,et al.  Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation , 2019, Remote Sensing of Environment.

[26]  M. Makkiabadi,et al.  A solar-powered solution for water shortage problem in arid and semi-arid regions in coastal countries , 2019, Sustainable Energy Technologies and Assessments.

[27]  L. Garrote,et al.  Influence of hydrologically based environmental flow methods on flow alteration and energy production in a run-of-river hydropower plant , 2019, Journal of Cleaner Production.

[28]  H. Jaafar,et al.  GCN250, new global gridded curve numbers for hydrologic modeling and design , 2019, Scientific Data.

[29]  Khaled S. Balkhair,et al.  Development and assessment of rainwater harvesting suitability map using analytical hierarchy process, GIS and RS techniques , 2019, Geocarto International.

[30]  H. Karimi,et al.  Integrating runoff map of a spatially distributed model and thematic layers for identifying potential rainwater harvesting suitability sites using GIS techniques , 2019, Geocarto International.

[31]  Shabir Ahmad,et al.  Flood frequency analysis of river Jhelum in Kashmir basin , 2019, Quaternary International.

[32]  S.M. Mohidul Islam,et al.  Soil Classification Using Machine Learning Methods and Crop Suggestion Based on Soil Series , 2018, 2018 21st International Conference of Computer and Information Technology (ICCIT).

[33]  V. Marsala,et al.  Analysis of Soil Erosion Induced by Heavy Rainfall: A Case Study from the NE Abruzzo Hills Area in Central Italy , 2018, Water.

[34]  Fei Zhang,et al.  Spatial–temporal variation of ecosystem service values in Ebinur Lake Wetland National Natural Reserve from 1972 to 2016, Xinjiang, arid region of China , 2018, Environmental Earth Sciences.

[35]  N. Hanan,et al.  Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling , 2018 .

[36]  P. Roy,et al.  Impact of LULC change on the runoff, base flow and evapotranspiration dynamics in eastern Indian river basins during 1985–2005 using variable infiltration capacity approach , 2018, Journal of Earth System Science.

[37]  Hossein Mojaddadi Rizeei,et al.  Surface runoff prediction regarding LULC and climate dynamics using coupled LTM, optimized ARIMA, and GIS-based SCS-CN models in tropical region , 2018, Arabian Journal of Geosciences.

[38]  D. Jhariya,et al.  Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques , 2017 .

[39]  David C. Goodrich,et al.  Comment on “Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response” by M. S. Bartlett et al. , 2017 .

[40]  S Satheeshkumar,et al.  Rainfall–runoff estimation using SCS–CN and GIS approach in the Pappiredipatti watershed of the Vaniyar sub basin, South India , 2017, Modeling Earth Systems and Environment.

[41]  A. Porporato,et al.  Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response , 2016 .

[42]  Pavel Kabat,et al.  Accounting for environmental flow requirements in global water assessments , 2013 .

[43]  U. C. Chaube,et al.  Estimation and comparision of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope , 2013 .

[44]  S. Beecham,et al.  Assessment of statistical characteristics of point rainfall in the Onkaparinga catchment in South Australia , 2013 .

[45]  Dipankar Saha,et al.  Assessment of surface and subsurface waterlogging, water level fluctuations, and lithological variations for evaluating groundwater resources in Ganga Plains , 2013, Int. J. Digit. Earth.

[46]  M. Almasri,et al.  Application of GIS-based SCS-CN method in West Bank catchments, Palestine , 2010 .

[47]  D. Clements,et al.  Infiltration from irrigation channels into soil with impermeable inclusions , 2005 .

[48]  D. Chitwood Research on plant-parasitic nematode biology conducted by the United States Department of Agriculture-Agricultural Research Service. , 2003, Pest management science.

[49]  C. A. S. Oliveira,et al.  Runoff measurement and prediction for a watershed under natural vegetation in central Brazil , 1999 .

[50]  Daniel C. Yoder,et al.  RUSLE revisited: Status, questions, answers, and the future , 1994 .

[51]  A. Taloor,et al.  Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques , 2021, HydroResearch.

[52]  E. Thibert,et al.  Contribution of glacier runoff to water resources of La Paz city, Bolivia (16° S) , 2015, Annals of Glaciology.

[53]  Wang Wen-jing Spatial-temporal variation and protection of wetland resources in Xinjiang , 2007 .

[54]  N. Fausey DRAINAGE, SURFACE AND SUBSURFACE , 2005 .

[55]  J. Hatfield,et al.  Encyclopedia of Soils in The Environment , 2004 .