Results 101 to 110 of about 20,593,996 (262)

Comparison of the performance of SWAT and hybrid M5P tree models in rainfall–runoff simulation

Journal of Water and Health
Stream flow forecasting is a crucial aspect of hydrology and water resource management. This study explores stream flow forecasting using two distinct models: the Soil and Water Assessment Tool (SWAT) and a hybrid M5P model tree.
Shailesh Kumar, K. K. Pandey, Ajay Ahirwar   +2 more
doaj   +1 more source

Machine learning method is an alternative for the hydrological model in an alpine catchment in the Tianshan region, Central Asia

Journal of Hydrology: Regional Studies, 2023
Study region: Kaidu River catchment in the Tianshan Mountain, northwestern China. Study focus: This paper compared the applicability and accuracy of four machine learning models and two hydrological ones to simulate the daily streamflow and extreme ...
Wenting Liang, Yaning Chen, Gonghuan Fang, Azamat Kaldybayev   +3 more
doaj  

Hydrological Modeling of Mahi Basin Using SWAT

Journal of Water Resource and Hydraulic Engineering, 2016
In general, hydrological models such as SWAT incorporate many parameters (both statistical and of physical significance). Most of these parameters obtain their values via extensive field surveys and experiments; the resulting values are then used to calibrate the model.
M. Sahu, S. Lahari, A. K. Gosain, Anurag Ohri   +3 more
openaire   +2 more sources

Patients' Ability to Self‐Manage Their Surgical Wound to Prevent Wound Complications: A Cross‐Sectional Study

Journal of Advanced Nursing, Volume 81, Issue 7, Page 4208-4215, July 2025.
ABSTRACT Aims To provide insights into postdischarge patients' experiences and preferences regarding surgical wound care education at discharge in the Netherlands. Background Patient involvement in wound care practices postdischarge is beneficial for the prevention of surgical site infections and has become an essential component in reducing the burden
Hannah Groenen, Nathan Bontekoning, Susan Van Dieren, Ricardo G. Orsini, Marja A. Boermeester, Georgia Tobiano, Anne M. Eskes   +6 more
wiley   +1 more source

Hydrological modeling in the Manas River Basin using soil and water assessment tool driven by CMADS

Tehnički Vjesnik, 2017
Hydrological simulation in meteorological ungauged areas has always been a difficult problem for the study on atmospheric and hydrological coupling; meanwhile, it is also one of the important factors that restrict model development and basin water ...
Xianyong Meng, Hao Wang, Xiaohui Lei, Siyu Cai, Hongjing Wu, Xiaonan Ji, Jianhua Wang   +6 more
doaj   +1 more source

Author Correction: Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model. [PDF]

Sci Rep, 2022
Meshesha TW, Wang J, Melaku ND, McClain CN.   +3 more
europepmc   +1 more source

The Development of Fully Coupled SWAT-MODFLOW Model (II) Evaluation of Model [PDF]

, 2004
Nam‐Won Kim, Il-Moon Chung, Yoo-Seung Won   +2 more
openalex   +1 more source

Analysis of non-point source nitrogen pollution in watersheds based on SWAT model

Ecological Indicators, 2022
Xianqi Zhang, Peng Chen, Shengnan Dai, Yong Han   +3 more
semanticscholar   +1 more source

A Bottleneck Analysis of Iron and Folic Acid Supplementation Program in Pakistan

Maternal &Child Nutrition, Volume 21, Issue 3, July 2025.
Iron and folic acid deficiency is a significant public health concern, especially in low and middle‐income countries, particularly among women of reproductive age, leading to adverse maternal and child health outcomes. The modified Tanahashi model was used to inform the determinant codes and for coding reliability thematic analysis using NVivo 14.
Anamta Ghur, Soha Randhawa, Namira Shahid, Waffa Ali, Banafsha Ali, Saroosh Rashid, Ambreen Khan, Aman Akbar Babri, Khawaja Masood, Saba Shuja, Maliha Fatima, Noshad Ali, M. Imran Khan, Ali Turab   +13 more
wiley   +1 more source

Assessment of hydrological water balance in Lower Nzoia Sub-catchment using SWAT-model: towards improved water governace in Kenya. [PDF]

Heliyon, 2022
Juma LA, Nkongolo NV, Raude JM, Kiai C.
europepmc   +1 more source