[1]CHENG Dongya,LI Xudong.Analysis of Spatial Distribution of Temperature and Precipitation and Its Terrain Impact of the Wujiang River Basin in Guizhou Province[J].Research of Soil and Water Conservation,2020,27(02):246-252.
Copy
Analysis of Spatial Distribution of Temperature and Precipitation and Its Terrain Impact of the Wujiang River Basin in Guizhou Province
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 02
Page number:
246-252
Column:
Public date:
2020-03-30
- Title:
- Analysis of Spatial Distribution of Temperature and Precipitation and Its Terrain Impact of the Wujiang River Basin in Guizhou Province
- Keywords:
- temperature; precipitation; terrain; geographically weighted regression; Wujiang River Basin in Guizhou Province
- CLC:
- P423; P426.6
- DOI:
- -
- Abstract:
- It can provide reference for regional agricultural production and rational utilization of resources to explore the spatial distribution characteristics of temperature and precipitation and their influencing factors. The temperature and precipitation data of the China(Guizhou)ground yearly value data(1981—2010)was selected, the kriging, the inverse distance weight, and the spline, geographically weighted regression and other methods were used to explore the spatial distribution of temperature and precipitation of the Wujiang River Basin in Guizhou Province, and the impact of terrain on temperature and precipitation was analyzed. The results show that:(1)The temperature of the Wujiang River Basin in Guizhou Province is gradually increasing from the upstream(Hezhang-Shuicheng)to the downstream(Yanhe-Daozhen), and the temperature is roughly opposite to the change in altitude.(2)The precipitation is generally decreasing from the southeast(south)to the northwest, and there are more precipitations on the windward aspects such as Zhijin-Puding-Anshun.(3)The temperature and precipitation combination of the Wujiang River Basin in Guizhou Province is not balanced, and the area with good temperature and precipitation combination is less. The production and life should adapt to the temperature and precipitation.(4)The elevation of the Wujiang River Basin in Guizhou Province has the significantly negative impact on temperature, and when the altitude changes by 1 000 m, the temperature changes by 3.3～6.0℃. The impact degree is lower in the downstream, and it is higher in the upstream and lower in the middle.(5)The spatial difference of precipitation of the Wujiang River Basin in Guizhou Province is large, and the space effects simulated by the geographically weighted regression are positive or negative. The space effects are negative in upstream of the basin, these are positive in the middle reaches of the basin.
- References:
-
[1] 徐中强,陈俊华,邵俊明,等.基于AHP和GIS的重庆市避暑自然适宜性评价[J].贵州师范大学学报:自然科学版,2016,34(1):14-21.
[2] 钱莉莉,贺中华,梁虹,等.基于降水Z指数的贵州省农业干旱时空演化特征[J].贵州师范大学学报:自然科学版,2019,37(1):10-14,19.
[3] 孙嗣旸.气候变化对我国农业水旱灾害的影响[D].杭州:浙江大学,2012.
[4] 林梽桓,戴全厚,王向栋,等.全球气候变化背景下贵州草海湿地极端降水特征[J].气象与减灾研究,2018,41(3):168-175.
[5] 吴战平,何玉龙,严小冬,等.贵阳旱涝气候变化特征及其趋势分析[J].贵州师范大学学报:自然科学版,2014,32(6):30-34.
[6] 李军龙,张剑,张丛,等.气象要素空间插值方法的比较分析[J].草业科学,2006,23(8):6-11.
[7] 李正泉,吴尧祥.顾及方向遮蔽性的反距离权重插值法[J].测绘学报,2015,44(1):91-98.
[8] Hodam S, Sarkar S, Marak A G R, et al. Spatial interpolation of reference evapotranspiration in India:comparison of IDW and Kriging methods[J]. Journal of the Institution of Engineers, 2017,98(4):511-524.
[9] 庄立伟,王石立.东北地区逐日气象要素的空间插值方法应用研究[J].应用气象学报,2003,14(5):605-615.
[10] 彭彬,周艳莲,高苹,等.气温插值中不同空间插值方法的适用性分析:以江苏省为例[J].地球信息科学学报,2011,13(4):539-548.
[11] 张莉莉,陶忠良,张京红.基于GIS海南岛气象要素空间插值法比较分析[J].热带农业科学,2012,32(4):57-61,66.
[12] 谭剑波,李爱农,雷光斌.青藏高原东南缘气象要素Anusplin和Cokriging空间插值对比分析[J].高原气象,2016,35(4):875-886.
[13] 段晋芳,王青杵,王改玲,等.基于GIS的山西永定河流域降水空间插值方法分析[J].山西农业科学,2010,38(3):44-47.
[14] Pereira P, Oliva M, Misiune I. Spatial interpolation of precipitation indexes in Sierra Nevada(Spain):comparing the performance of some interpolation methods [J]. Theoretical and Applied Climatology, 2016,126:683-698.
[15] Li M, Shao Q, Renzullo L. Estimation and spatial interpolation of rainfall intensity distribution from the effective rate of precipitation[J]. Stochastic Environmental Research and Risk Assessment, 2010,24(1):117-130.
[16] 冯腾飞,钟钰,于良.基于GA_SVM的江西省降水插值模型研究[J].信息与电脑:理论版,2017(16):84-87.
[17] 赵冰雪,王雷,程东亚.安徽省气象数据空间插值方法比较与分布特征[J].水土保持研究,2017,24(3):141-145.
[18] Chang K T.地理信息系统导论[M].陈健飞,译.3版.北京:清华大学出版社,2009.
[19] 王佳,钱雨果,韩立建,等.基于GWR模型的土地覆盖与地表温度的关系:以京津唐城市群为例[J].应用生态学报,2016,27(7):2128-2136.
[20] 袁淑杰,谷晓平,缪启龙,等.贵州高原复杂地形下月平均日最高气温分布式模拟[J].地理学报,2009,64(7):888-896.
[21] 舒守娟,王元,储惠芸.地理和地形影响下我国区域的气温空间分布[J].南京大学学报:自然科学版,2009,45(3):334-342.
[22] 于晓晶,赵勇.地形对天山夏季降水影响的模拟[J].中国沙漠,2016,36(4):1133-1143.
[23] Myoungjin U, Yun H S, Woncheol C, et al. Analysis of orographic precipitation on Jeju-Island using regional frequency analysis and regression[J]. Water Resources Management, 2010,24(7):1461-1487.
- Similar References:
Memo
-
Last Update:
2020-02-25