Susceptibility of typical marine geological disasters: an overview

X Liu, Y Wang, H Zhang, X Guo - Geoenvironmental Disasters, 2023 - Springer
Background Marine geological disasters (ie, catastrophic events occurring in marine
environments) may seriously threaten the safety of engineering facilities, life, and property in …

[HTML][HTML] Adverse weather conditions for UK wheat production under climate change

C Harkness, MA Semenov, F Areal, N Senapati… - Agricultural and Forest …, 2020 - Elsevier
Winter wheat is an important crop in the UK, suited to the typical weather conditions in the
current climate. In a changing climate the increased frequency and severity of adverse …

Spatio-temporal trend analysis of rainfall using parametric and non-parametric tests: case study in Uttarakhand, India

A Malik, A Kumar - Theoretical and Applied Climatology, 2020 - Springer
This study investigates the spatial and temporal patterns of trends and magnitude of rainfall
on monthly, seasonal and annual time scales of 13 districts of Uttarakhand State located in …

Spatial-temporal trend analysis of seasonal and annual rainfall (1966–2015) using innovative trend analysis method with significance test

A Malik, A Kumar, P Guhathakurta, O Kisi - Arabian Journal of …, 2019 - Springer
This study investigates the spatial and temporal patterns of trends on seasonal (pre-
monsoon, monsoon, post-monsoon, and winter) and annual rainfall time series data (1966 …

The de martonne aridity index in Calabria (Southern Italy)

G Pellicone, T Caloiero, I Guagliardi - Journal of Maps, 2019 - Taylor & Francis
In this paper, the annual rainfall and temperature values, measured in the period 1951-2016
in a region of southern Italy (Calabria), have been spatially interpolated using deterministic …

A comparison of the performance of different interpolation methods in replicating rainfall magnitudes under different climatic conditions in chongqing province (China)

R Yang, B Xing - Atmosphere, 2021 - mdpi.com
Precipitation is considered a crucial component in the hydrological cycle and changes in its
spatial pattern directly influence the water resources. We compare different interpolation …

[HTML][HTML] GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning

Q He, M Wang, K Liu, K Li… - Earth System Science Data, 2022 - essd.copernicus.org
An accurate spatially continuous air temperature data set is crucial for multiple applications
in the environmental and ecological sciences. Existing spatial interpolation methods have …

[HTML][HTML] Spatiotemporal variations and driving factors of China's ecosystem water use efficiency

Y Ji, S Zeng, QQ Tang, L Yan, S Wu, Y Fan, J Chen - Ecological Indicators, 2023 - Elsevier
Ecosystem water use efficiency (WUEe) is a key metric of the coupled carbon and water
cycles. Understanding WUEe variations along the climate gradient (arid to humid) and …

Livelihood vulnerability and climate change: a comparative analysis of smallholders in the Indo-Gangetic plains

TE Venus, S Bilgram, J Sauer… - Environment, Development …, 2022 - Springer
Abstract In the Indo-Gangetic Plains, one of India's most productive agricultural regions,
smallholder livelihood vulnerability can inhibit sustainable development. As there are …

Effect of environmental covariable selection in the hydrological modeling using machine learning models to predict daily streamflow

GB Reis, DD da Silva, EI Fernandes Filho… - Journal of …, 2021 - Elsevier
There are different methods for predicting streamflow, and, recently machine learning has
been widely used for this purpose. This technique uses a wide set of covariables in the …