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Corrigendum to ‘‘A Comparison of SWAT Model Calibration Techniques for Hydrological Modeling in the Ganga Corrigendum
Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari
Engineering 2019, Volume 5, Issue 1, Pages 181-181 doi: 10.1016/j.eng.2018.11.009
Evaluation of SWAT sub-daily runoff estimation at small agricultural watershed in Korea
Ganga Ram Maharjan, Youn Shik Park, Nam Won Kim, Dong Seok Shin, Jae Wan Choi, Geun Woo Hyun, Ji-Hong Jeon, Yong Sik Ok, Kyoung Jae Lim
Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 1, Pages 109-119 doi: 10.1007/s11783-012-0418-7
Keywords: Soil and Water Assessment Tool (SWAT) sub-daily simulation runoff rainfall
Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari
Engineering 2018, Volume 4, Issue 5, Pages 643-652 doi: 10.1016/j.eng.2018.08.012
Keywords: Remote sensing Geographic information system Soil and Water Assessment Tool Hydrological modeling SUFI-2 GLUE ParaSol Sediment yield
Pengcheng Sun, Yiping Wu
Engineering 2023, Volume 27, Issue 8, Pages 209-221 doi: 10.1016/j.eng.2021.12.015
Keywords: Check dams Dynamic check dam (DCDam) Loess Plateau Sediment trapping SWAT
A Full-Scale Optimization of a Crop Spatial Planting Structure and Its Associated Effects Article
Qi Liu, Jun Niu, Taisheng Du, Shaozhong Kang
Engineering 2023, Volume 28, Issue 9, Pages 139-152 doi: 10.1016/j.eng.2023.03.012
Keywords: Planting structure optimization Full-scale evaluation index system Water footprint SWAT-WF module
Muhammad WASEEM, Frauke KACHHOLZ, Jens TRÄNCKNER
Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4, Pages 420-431 doi: 10.15302/J-FASE-2018243
Keywords: diffuse pollution ECO Lab HSPF lowland catchment MIKE 11 MIKE SHE modeling tools SWAT SWIM Tollense River
Toward Sustainable Revegetation in the Loess Plateau Using Coupled Water and Carbon Management Article
Fubo Zhao, Yiping Wu, Xiaowei Yin, Georgii Alexandrov, Linjing Qiu,
Engineering 2022, Volume 15, Issue 8, Pages 143-153 doi: 10.1016/j.eng.2020.12.017
The “Grain-for-Green” project on the Loess Plateau is the largest revegetation program in the world. However, revegetation-induced land use changes can influence both water and carbon cycles, and the diverse consequences were not well understood. Therefore, the reasonability and sustainability of revegetation measures are in question. This study quantifies the impacts of revegetation-induced land use conversions on the water and carbon cycles in a typical watershed on the Loess Plateau and identifies suitable areas where revegetation of forest or grassland could benefit both soil and water conservation and carbon sequestration. We used a coupled hydro-biogeochemical model to simulate the changes of a few key components in terms of water and carbon by designing a variety of hypothetical land use conversion scenarios derived from revegetation policy. Compared to the baseline condition (land use in 2000), both sediment yield and water yield decreased substantially when replacing steep cropland with forest or grassland. Converting cropland with slopes larger than 25°, 15°, and 6° to forest (CTF) would enhance the carbon sequestration with a negligible negative effect on soil water content, while replacing cropland with grassland (CTG) would result in a decline in net primary production but with a substantial increase in soil water content (3.8%–14.9%). Compared to the baseline, the soil organic carbon would increase by 0.9%–3.2% in CTF and keep relatively stable in CTG. Through testing a variety of hypothetical revegetation scenarios, we identified potential priority areas for CTF and CTG, where revegetation may be appropriate and potentially beneficial to conserving soil and water and enhancing carbon sequestration. Our study highlights the challenges in future water and carbon coupling management under revegetation policy, and our quantitative results and identification of potential areas for revegetation could provide information to policy makers for seeking optimal management on the Loess Plateau.
Keywords: Carbon Land use change Loess Plateau Sediment SWAT-DayCent Water resources
Houfa Wu,Jianyun Zhang,Zhenxin Bao,Guoqing Wang,Wensheng Wang,Yanqing Yang,Jie Wang
Engineering 2023, Volume 28, Issue 9, Pages 93-104 doi: 10.1016/j.eng.2021.12.014
Keywords: Parameters estimation Ungauged catchments Regionalization scheme Machine learning algorithms Soil and water assessment tool model
Title Author Date Type Operation
Corrigendum to ‘‘A Comparison of SWAT Model Calibration Techniques for Hydrological Modeling in the Ganga
Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari
Journal Article
Evaluation of SWAT sub-daily runoff estimation at small agricultural watershed in Korea
Ganga Ram Maharjan, Youn Shik Park, Nam Won Kim, Dong Seok Shin, Jae Wan Choi, Geun Woo Hyun, Ji-Hong Jeon, Yong Sik Ok, Kyoung Jae Lim
Journal Article
A Comparison of SWAT Model Calibration Techniquesfor Hydrological Modeling in the Ganga River Watershed
Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari
Journal Article
Dynamic modeling framework of sediment trapped by check-dam networks: A case study of a typical watershed on the chinese loess plateau
Pengcheng Sun, Yiping Wu
Journal Article
A Full-Scale Optimization of a Crop Spatial Planting Structure and Its Associated Effects
Qi Liu, Jun Niu, Taisheng Du, Shaozhong Kang
Journal Article
Suitability of common models to estimate hydrology and diffuse water pollution in North-eastern German lowland catchments with intensive agricultural land use
Muhammad WASEEM, Frauke KACHHOLZ, Jens TRÄNCKNER
Journal Article
Toward Sustainable Revegetation in the Loess Plateau Using Coupled Water and Carbon Management
Fubo Zhao, Yiping Wu, Xiaowei Yin, Georgii Alexandrov, Linjing Qiu,
Journal Article