scholarly journals Analysis of the Lake-Effect on Precipitation in the Taihu Lake Basin Based on the GWR Merged Precipitation

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 180 ◽  
Author(s):  
Jing Zhao ◽  
Long Yang ◽  
Lingjie Li ◽  
Lachun Wang ◽  
Qingfang Hu ◽  
...  
Keyword(s):  
Taihu Lake ◽  
Daily Precipitation ◽  
Pearson Correlation ◽  
Influencing Factor ◽  
Lake Basin ◽  
Mountainous Area ◽  
Lake Area ◽  
Taihu Lake Basin ◽  
Rain Gauges ◽  
Lake Effect

Based on the high-density gauged rainfall, the geographically weighted regression (GWR) was used to fuse the daily precipitation of rain gauges with those of Multi-source Weighted-Ensemble Precipitation V2.1 (MSWEP V2.1) and a new merged daily precipitation was generated (referred to as GWR merged precipitation, denoted by GWRMP). Then, the precipitation accuracy at 0.1° × 0.1° grid scale and the lake-effect on precipitation in the Taihu Lake Basin were investigated. Results show that GWRMP is characterized with higher precision and stronger spatial recognition ability compared with MSWEP in the whole basin at 0.1° × 0.1° grid scale, and lake area with a relatively sparse network of rain gauges is no exception. Topography is the most important influencing factor of rainfall in the Taihu Lake Basin, the Pearson correlation coefficient (r) between DEM and the main precipitation type (EOF-1) in the whole basin is 0.64, resulting in a rainy area in the southwestern mountain, and less rain at plain and lake area based on the GWRMP. The multi-year average precipitation in the lake upwind area is 8.31% lower than that in the downwind area. Different with the influence mechanism of precipitation in the southwestern mountainous area characterized by high consistency between the spatial distribution of precipitation and the climatic elements derive from the ERA5 meteorological reanalysis data (|r| > 0.6), there is a lower consistency in the lake downwind area (|r| < 0.5) and no consistency in the lake upwind area at the 0.25° × 0.25° grid scale. The southeast monsoon is deduced as the most important factor affecting the procedure of lake-effect on precipitation in the Taihu Lake Basin. The distribution of wind direction and wind speed determines the dynamic changes of surface water vapor to a certain extent, and the lake-effect on precipitation is most likely occurs in July.

scholarly journals Impacts of Land-Use Change on Habitat Quality during 1985–2015 in the Taihu Lake Basin

2019 ◽  
Vol 11 (13) ◽  
pp. 3513 ◽  
Author(s):  
Liting Xu ◽  
Sophia Chen ◽  
Yu Xu ◽  
Guangyu Li ◽  
Weizhong Su
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Habitat Quality ◽  
Taihu Lake ◽  
Scientific Basis ◽  
Landscape Patterns ◽  
Lake Basin ◽  
Lake Area ◽  
Hotspot Analysis ◽  
Taihu Lake Basin

Habitat quality (HQ) is of great significance to regional sustainable development, which is a key link for regional ecological security and human welfare. Assessing the temporal and spatial evolution of HQ caused by land-use change could provide a scientific basis for regional ecological protection and land management. Here, based on the ArcGIS platform and the InVEST model, this study quantified the spatial and temporal evolutions of land use, landscape patterns, and HQ from 1985 to 2015, in Taihu Lake Basin (TLB). Hotspot analysis tools were used to identify the spatial agglomeration and evolution characteristics of HQ in TLB. The results showed that, (1) the land use and landscape pattern in TLB experienced dramatic change process during 1985–2015, with the dominating conversion being from farmland to construction land, which led to an increase in landscape heterogeneity and fragmentation. (2) The HQ was generally reduced in the past 30 years. In particular, the decline of HQ was extremely severe in the peripheral area of cities and roads, due to urban sprawl. (3) Regarding the spatial distribution of HQ, the northern and eastern areas were generally higher, while the western and southern areas were generally lower. The hotspots areas were mainly located in the southwestern mountain area and west-central lake area, while the cold spots areas were mainly located in urban areas in the north and the east. (4) The area and degree of habitat degradation were both increased significantly due to land-use change, and the degradation of the Taihu Lake was highlighted. Strengthening the ecological environment management and reducing the threat of urban expansion to the HQ is urgently required. This study could help understand HQ of the TLB and provide a scientific basis for decision-makers.

scholarly journals Evaluation and Comparison of the GWR Merged Precipitation and Multi-Source Weighted-Ensemble Precipitation based on High-density Gauge Measurement.

2021 ◽  
Author(s):  
Jing Zhao ◽  
Yuan Qiqi ◽  
Long Yang ◽  
Hao Wu ◽  
lachun Wang
Keyword(s):  
Taihu Lake ◽  
Rain Gauge ◽  
Flood Frequency ◽  
High Density ◽  
Accurate Estimation ◽  
Lake Basin ◽  
Spatial And Temporal Variability ◽  
Taihu Lake Basin ◽  
Rain Gauges ◽  
Spatial Coverage

Accurate estimation of precipitation in both space and time is essential for hydrological research. We compared multi-source weighted ensemble precipitation (MSWEP) with multi-source fused satellite precipitation (CHIRPS) based on high-density rain gauge precipitation observations in the Taihu Lake basin. We proposed a new merge precipitation algorithm GWRMP based on the geographically weighted regression (GWR) method. GWRMP corrects the bias of MSWEP by using high-density rain gauge precipitation to address the common problem of daily precipitation underestimation in MSWEP. The large-scale spatial coverage of the water surface in this region leads to the uneven distribution of rain gauges on the lake. There are differences in the descriptive ability of the three spatial precipitation types, MSWEP, GWRMP, and IDW, for spatial and temporal precipitation information in the Taihu Lake basin. A comparison shows that GWRMP has a significant advantage in obtaining the spatial and temporal variability of precipitation in areas with complex topographic conditions. GWRMP compensates the problem of underestimation of precipitation by MSWEP (10% to 25%), and avoids the risk of the high dependence of IDW on rain gauges, and improves the accuracy of spatial and temporal precipitation in large lake areas with sparse distribution of rain gauges (Pbias limited to 10%). GWRMP improved the estimation for different rainfall intensities in the Taihu Lake basin, especially in the mid-level rainfall and above precipitation frequencies. Compared with IDW and MSWEP, GWRMP is more suitable for intense precipitation monitoring and storm flood frequency study in the basin. Therefore, GWRMP is a better choice for spatial and temporal estimation of precipitation in the Taihu Lake basin. The GWRMP algorithm can be applied to other regions with unevenly spaced high-density rain gauges.

Industrial and agricultural effects on water environment and its optimization in heavily polluted area in Taihu Lake Basin, China

2013 ◽  
Vol 23 (2) ◽  
pp. 203-215 ◽  
Author(s):  
Haixia Zhao ◽  
Bensheng You ◽  
Xuejun Duan ◽  
Stewart Becky ◽  
Xiaowei Jiang
Keyword(s):  
Taihu Lake ◽  
Water Environment ◽  
Polluted Area ◽  
Lake Basin ◽  
Taihu Lake Basin ◽  
Heavily Polluted Area

scholarly journals Impacts of land use changes on net ecosystem production in the Taihu Lake Basin of China from 1985 to 2010

2017 ◽  
Vol 122 (3) ◽  
pp. 690-707 ◽  
Author(s):  
Xibao Xu ◽  
Guishan Yang ◽  
Yan Tan ◽  
Xuguang Tang ◽  
Hong Jiang ◽  
...  
Keyword(s):  
Land Use ◽  
Taihu Lake ◽  
Land Use Changes ◽  
Net Ecosystem Production ◽  
Lake Basin ◽  
Taihu Lake Basin ◽  
Ecosystem Production
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