Trend Analysis of Hydroclimatic Variables in the Kamo River Basin, Japan

Hu, Maochuan; Sayama, Takahiro; Try, Sophal; Takara, Kaoru; Tanaka, K.

doi:10.3390/w11091782

Cited by 24 publications

(12 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, we performed a trend analysis using the Mann-Kendall (MK) significance test [44,45]. It is a non-parametric test and less affected by the extreme values, which is also widely used to detect trends in hydrologic time series [46,47].…”

Section: Trend Analysismentioning

confidence: 99%

The Spatiotemporal Variability of Temperature and Precipitation Over the Upper Indus Basin: An Evaluation of 15 Year WRF Simulations

et al. 2020

View full text Add to dashboard Cite

Investigating the trends in the major climatic variables over the Upper Indus Basin (UIB) region is difficult for many reasons, including highly complex terrain with heterogeneous spatial precipitation patterns and a scarcity of gauge stations. The Weather Research and Forecasting (WRF) model was applied to simulate the spatiotemporal variability of precipitation and temperature over the Indus Basin from 2000 through 2015 with boundary conditions derived from the Climate Forecast System Reanalysis (CFSR) data. The WRF model was configured with three nested domains (d01–d03) with horizontal resolutions increasing inward from 36 km to 12 km to 4 km horizontal resolution, respectively. These simulations were a continuous run with a spin-up year (i.e., 2000) to equilibrate the soil moisture, snow cover, and temperature at the beginning of the simulation. The simulations were then compared with TRMM and station data for the same time period using root mean squared error (RMSE), percentage bias (PBIAS), mean bias error (MBE), and the Pearson correlation coefficient. The results showed that the precipitation and temperature simulations were largely improved from d01 to d03. However, WRF tended to overestimate precipitation and underestimate temperature in all domains. This study presents high-resolution climatological datasets, which could be useful for the study of climate change and hydrological processes in this data-sparse region.

show abstract

Section: Trend Analysismentioning

confidence: 99%

The Spatiotemporal Variability of Temperature and Precipitation Over the Upper Indus Basin: An Evaluation of 15 Year WRF Simulations

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In cases where a point was detected, Pettit's test also estimated the day at which that break or inflection occurred. We then used Mann-Kendall tests to evaluate monotonic trends in the phases before and after an identified break point (Hu et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Temporal dynamics of dissolved organic matter (DOM) in mountain lakes: the role of catchment characteristics

Olson

Fischer

2022

Can. J. Fish. Aquat. Sci.

View full text Add to dashboard Cite

Climate change is affecting mountain ecosystems by increasing vegetation coverage and altering meteorological conditions. These changes are likely to impact the timing and magnitude of dissolved organic matter (DOM) inputs to lakes from the surrounding catchment. We examined temporal dynamics of DOM using in situ optical sensors that measured DOM fluorescence (fDOM) through the ice-free season in five lakes with differing catchment characteristics. We also measured changes in lake level and compiled daily meteorological data from nearby weather stations. At a seasonal timescale, fDOM dynamics occurred in two phases. fDOM declined in the first phase, which lasted until late July/mid-August, and corresponded to a decline in lake level following spring snowmelt. This decline was more pronounced in lakes with more vegetated catchments. At a shorter timescale, fDOM increased following precipitation events with a 0-1 day lag. Rates of fDOM increase per cm change in lake level were greater in lakes with vegetated catchments. As climate change increases vegetation coverage, DOM will likely become more dynamic at daily and seasonal timescales and impact water transparency and productivity of mountain lakes.

show abstract

“…The non-parametric rank-based Mann-Kendall (MK) test was used to analyze the trends of climate change [32,33]. Non-parametric tests make no assumptions about the distribution of data and are not disturbed by outliers [34], so it is useful for detecting monotonic trends, and has been widely used in hydro and climatic analysis for decades [35][36][37].…”

Section: Methodsmentioning

confidence: 99%

Relationships between Temporal and Spatial Changes in Lakes and Climate Change in the Saline-Alkali Concentrated Distribution Area in the Southwest of Songnen Plain, Northeast China, from 1985 to 2015

Cao

Tang

et al. 2020

Water

View full text Add to dashboard Cite

The southwest of Songnen Plain, Northeast China, has an arid climate and is a typical concentrated distribution area of saline-alkali soil. The terrain here is low-lying, with many small, shallow lakes that are vulnerable to climate change. This paper used Landsat satellite remote sensing images of this area from 1985 to 2015 to perform interpretation of lake water bodies, to classify the lakes according to their areas, and to analyze the spatial dynamic characteristics of lakes in different areas. During the 30 years from 1985 to 2015, the number of lakes in the study area decreased by 71, and the total lake area decreased by 266.85 km2. The decrease was more serious in the east and northeast, and the appearance and disappearance of lakes was drastic. The Mann–Kendall test method was used to analyze trends in meteorological factors (annual mean temperature, annual precipitation, and annual evaporation) in the study area and perform mutation tests. Through correlation analysis and multiple generalized linear model analysis, the response relationship between lake change and climate change was quantified. The results showed that the average temperature in the area is rising, and the annual precipitation and evaporation are declining. Temperature and precipitation mainly affected lakes of less than 1 km2, with a contribution rate of 31.2% and 39.4%, and evaporation had a certain correlation to the total lake area in the study area, with a contribution rate of 60.2%. Small lakes are susceptible to climatic factors, while large lakes, which are mostly used as water sources, may be influenced more by human factors. This is the problem and challenge to be uncovered in this article. This research will help to improve our understanding of lake evolution and climate change response in saline-alkali areas and provide scientific basis for research into lakes’ (reservoirs’) sustainable development and protection.

show abstract

Trend Analysis of Hydroclimatic Variables in the Kamo River Basin, Japan

Cited by 24 publications

References 37 publications

The Spatiotemporal Variability of Temperature and Precipitation Over the Upper Indus Basin: An Evaluation of 15 Year WRF Simulations

The Spatiotemporal Variability of Temperature and Precipitation Over the Upper Indus Basin: An Evaluation of 15 Year WRF Simulations

Temporal dynamics of dissolved organic matter (DOM) in mountain lakes: the role of catchment characteristics

Relationships between Temporal and Spatial Changes in Lakes and Climate Change in the Saline-Alkali Concentrated Distribution Area in the Southwest of Songnen Plain, Northeast China, from 1985 to 2015

Contact Info

Product

Resources

About