Reference evapotranspiration (ETo) is critical for irrigation design and water management in rainfed and irrigated agriculture. The Penman-Monteith (FAO-56(PM)) equation was demonstrated to be the most reliable and adaptive to a wide range of humid to semi-arid climates. However, it requires several environmental parameters (e.g., wind speed, solar radiation), rarely available in developing countries. Therefore, numerous temperature-based formulas have been designed to address this issue for various environments. Their calibration and validation against the local climate frequently lead to increases in performance. We revised the Hargreaves exponent (EH) and substituted a value of (0.16) for the original value (0.5). The modified Hargreaves formula enhances the ETo predictions with a mean absolute error ranging from (0.791) mm per day for Balakot to (2.36) mm per day in Risalpur, averaging (3.797) mm per day, as compared to the Hargreaves-Samani (16.827) mm per day. In general, all the selected models showed high accuracy. However, the modified Hargreaves equation appeared to give the most promising results. It ranked first in (50%) of the whole area based on the standard error of estimate for estimating ETo in Khyber Pakhtunkhwa. Additional research must be conducted to determine the study's relevance to other regions.

This study aims to identify the effects of foreign remittances on school enrolment and the educational expenditures of children in the Peshawar district. Primary data were acquired by simple random sampling and a questionnaire. Correspondingly, the logit approach and Heckman selection theory were utilized to examine school enrolment and educational expenses. The marginal effects were evaluated to determine the co-efficient. The study's findings indicate that Per Capita Remittances (PCRM) have a highly substantial and beneficial effect on children's school attendance, with a (10.8%) point increase in school enrolment for every 100 rupees rises in Per Capita Remittances (PCRM). Suppose a household's Per Capita Income (PCIM) improves by one hundred rupees, the probability of children enrolling in school increases by (0.17). The results indicate that PCRM and educational costs per kid are significantly and positively correlated. Educational spending per child increases by 12.01 rupees for every 100 rupees rise in family remittances per capita, whereas every 100 rupees increase in per capita income increases educational expenditure per kid by (8.38 PKR). Which leads to an 8.38 % marginal propensity to spend on child education.