Evaluation of a multi-site weather generator in simulating precipitation in the Qiantang River Basin, East China

Xu, Yue‐Ping; Ma, Chao; Pan, Suli; Zhu, Qiankun

doi:10.1631/jzus.a1300267

Cited by 8 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, the change factor method (CFM) was used in order to downscale data in terms of temporal and create climate change scenarios. The CFM is a common method for downscaling method and although more complicated methods exist, but still this method is widely used in different studies (Elmahdi et al ; Anandhi et al ; Goodarzi et al ; Xu et al ).…”

Section: Methodsmentioning

confidence: 99%

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Goodarzi¹,

Abedi‐Koupai

Heidarpour

2018

Groundwater

View full text Add to dashboard Cite

In this study, the impacts of climate change on crop water requirements and irrigation water requirements on the regional cropping pattern were evaluated using two climate change scenarios and combinations of 20 GCM models. Different models including CROPWAT, MODFLOW, and statistical models were used to evaluate the climate change impacts. The results showed that in the future period (2017 to 2046) the temperature in all months of the year will increase at all stations. The average annual precipitation decline in Isfahan, Tiran, Flavarjan, and Lenj stations for RCP 4.5 and RCP 8.5 scenarios are 18.6 and 27.6%, 15.2 and 18%, 22.5 and 31.5%, and 10.5 and 12.1%, respectively. The average increase in the evapotranspiration for RCP 4.5 and RCP 8.5 scenarios are about 2.5 and 4.1%, respectively. The irrigation water demands increases considerably and for some crops, on average 18%. Among the existing crops in the cropping pattern, barley, cumin, onion, wheat, and forage crops are more sensitive and their water demand will increase significantly. Results indicate that climate change could have a significant impact on water resources consumption. By considering irrigation efficiency in the region, climate change impacts will result in about 35 to 50 million m /year, over-extraction from the aquifer. This additional exploitation causes an extra drop of 0.4 to 0.8 m in groundwater table per year in the aquifer. Therefore, with regard to the critical condition of the aquifer, management and preventive measures to deal with climate change in the future is absolutely necessary.

show abstract

Section: Methodsmentioning

confidence: 99%

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Goodarzi¹,

Abedi‐Koupai

Heidarpour

2018

Groundwater

View full text Add to dashboard Cite

show abstract

“…For the above computations, 1000 years of generated data and series of 35 years of observed data were used. Next, absolute differences (abs) between observed and generated parameters (mean, SD), as well as relative absolute differences (Rel) in the form Rel = abs(observedgenerated)×100% /observed were evaluated [13,29]. Obtained results are presented in Table 2.…”

Section: Resultsmentioning

confidence: 99%

“…The idea of simulation of spatial data by the spatial weather generator is widely described in the literature [1,6,13,[16][17][21][22][23][24]. For several applications in Poland the spatial weather generator SWGEN is used as the best downscaling method to produce n years of synthetic daily data on potentially possible weather course at k stations [9,[25][26].…”

Section: Spatial Weather Generator − Swgenmentioning

confidence: 99%

“…The most well-known applications of spatial data simulated by spatial weather generators are used in hydrology and water management. Particularly, the forthcoming hydrology in the river catchments, runoff response, and predictions are strongly impacted by future climate and possible change [1][2][3][4][5][6][7][8][9][10][11][12][13]. The daily flow simulation, particularly seasonal extremes for future climate conditions given by different scenarios are important for water management and hydrology for several reasons [10][11][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of multisite synthetic data generated by spatial weather generator and long climate data series

Kuchar

Iwański

2018

E3S Web Conf.

View full text Add to dashboard Cite

Abstract. In this paper a new validation test for the spatial weather generator SWGEN producing the multisite daily time series of solar radiation, temperature and precipitation is presented. The method was tested by comparing statistics of 1000 years of generated data with extra long series of 35 years of observed weather parameters and 24 sites of meteorological stations for south-west Poland. The method evaluation showed that the means (sums) and variances of generated data were comparable with observed climatic data aggregated for months, seasons and years.

show abstract

“…July-August is a period with high temperature and drought, in which typhoons and rainstorms appear frequently. Fall usually has fresh air and an invigorating climate (Xu et al, 2014). The annual average temperature of the basin is 16.1-17.7 • C and the annual rainfall capacity is 1200-2200 mm (Xia et al, 2014).…”

Section: Research Centermentioning

confidence: 99%

Land use and land cover change based on historical space-time model

Sun¹,

Zhang²,

Liu³

et al. 2016

Preprint

View full text Add to dashboard Cite

Abstract. Land use and cover change is a leading edge topic in the current research field of global environmental changes and case study of typical areas is an important approach understanding global environmental changes. Taking Qiantang River (Zhejiang, China) as an example, this study explores automatic classification of land use using remote sensing technology and analyzes historical space-time change by remote sensing monitoring, which provide new methods for optimizing land use structure and realize the optimal allocation of land resources as well as intensive utilization. It is of great importance to the sustainable development of Qiantang River basin and the whole Zhejiang province. This study combines spectral angle mapping (SAM) with multi-source information and creates a convenient and efficient high precision land use computer automatic classification method which meets the application requirements and is suitable for complex landform of the studied area. This work analyzes the histological space-time characteristic of land use and cover change in 2001, 2007 and 2014, providing a strong information support and new research method for optimizing Qiantang River land use structure and achieving optimal allocation of land resources and scientific management.

show abstract

Evaluation of a multi-site weather generator in simulating precipitation in the Qiantang River Basin, East China

Cited by 8 publications

References 27 publications

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Evaluation of multisite synthetic data generated by spatial weather generator and long climate data series

Land use and land cover change based on historical space-time model

Contact Info

Product

Resources

About