Comparative study of various reference evapotranspiration models under different agroclimatic zones

Water Science & Technology, Год журнала: 2025, Номер 91(10), С. 1107 - 1127

Опубликована: Май 15, 2025

Reference evapotranspiration (ETo) study is important for climatically diverse Himachal Pradesh to ensure sustainable water resource management. The present aims establish the best alternative ETo method among combination-, radiation-, and temperature-based methods. area consists of four agroclimatic zones (zone I: subtropical, zone II: humid, III: wet temperate, IV: dry temperate) Pradesh, state India. statistical performance indicators, i.e., root mean square error (RMSE), coefficient determination (R2), percentage (PE), scatter index (SI), were used evaluate model in each over period 2012-2021. In combination methods, corrected Penman (CPEN), modified (MPEN) performed well; however, results CPEN found be significantly closer 56PM all zones. Among radiation Priestly-Taylor (P-T) was a better predictor than other three 24-radiation (24RAD), Turc (T-C), Makkink (MAK) I II. For III IV, T-C outperformed followed by MAK. established that H-S (RMSE = 0.87, R2 0.98, PE 2.63, SI 0.13) as temperature method, methods area, P-T

Язык: Английский

Evaluating Evapotranspiration Models for Simulation of Soil Water Dynamics in Data-Scarce Paddy Growing Areas of Eastern India

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 3, 2024

Effective soil water management is essential for successful agricultural growth and efficient use. Evapotranspiration (ET) estimation plays a crucial role in hydrologic modelling that simulates movement. While the FAO Penman-Monteith (PM) model popular choice estimating reference crop ET (ETo), it depends heavily on various climatic variables often unavailable data-scarce regions. This study examines eight different ETo models to simulate dynamics low-lying paddy fields of eastern India an effort address challenge limited data availability. Using HYDRUS-1D non-weighing type lysimeter, actual was estimated. The results revealed while all exhibited similar trends simulating moisture content (SMC), their accuracy varied significantly. namely Blaney-Criddle, Hargreaves-Samani, Ivanov, Dalton, Penman deviated considerably from observed SMC values. However, FAO-PM, Irmak, Priestly-Taylor models, no significant differences were detected between simulated values SMC. Irmak can account 94% variability predicting compared FAO-PM model. highlights require less inputs, such as also produce reliable accurate be used related studies India. These ensure use agriculture offer practical solutions regions where meteorological scarce.

Язык: Английский