In the subtropical climate of Taiwan, the cool season (January–June) is most productive for
rice cultivation. However, the cool season also sees a large variability and weather impact …

Background Long-term time-series datasets of crop yield and climate variables are
necessary to study the temporal variation of climate effects on crops. The aim of this study …

This study aims to model a probabilistic-based reliability analysis, named the
RA_IWS_Canal model, for calculating the probability of the irrigation water supply …

Stronger intensity and frequent arrival of the El Niño-Southern Oscillation (ENSO) caused
varied temperature and wildly varying precipitation with drought and flood conditions that …

This study aims to develop a probabilistic rainfall threshold estimation model for shallow
landslides (PRTE_LS) in order to quantify its reliability while being affected by uncertainties …

The study was conducted at Birsa Agricultural University, Ranchi during the years 2009–
2013 for understanding the effect of weather variables on the yield of three direct seeded …

A better understanding of the spatiotemporal variation characteristics of rainfall erosivity and
effects of extreme rainfall events on soil erosion is the basis for improved water resource …

Water productivity (WP) is a key indicator of agricultural water management, since it affects
the quantity of water used for crop yield in various management scenarios. This study …

This study aims at developing a reliability-analysis model (RA_WS_RES) to quantify the
effect of variations in uncertainties factors regarding the reservoir inflow and outflow at …

This study proposes a risk analysis model for quantifying the insufficient risk of rice
production due to the climate change and variation in irrigation water and cultivation area …