2020
DOI: 10.1038/s41598-020-71295-1
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Drought characteristics and its elevation dependence in the Qinghai–Tibet plateau during the last half-century

Abstract: Associated with global warming, drought has destructive influences on agriculture and ecosystems, especially in the fragile Qinghai-Tibet Plateau (QTP). This study investigated spatial-temporal patterns of meteorological drought in the QTP and its surrounding areas and made an attempt to explore the relationship between drought conditions and elevation. Robust monitoring data from 274 meteorological stations during 1970-2017 were analyzed using the Sen's slope method, Mann-Kendall trend test and rescaled range… Show more

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Cited by 152 publications
(63 citation statements)
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“…With recent advances in computational intelligence, many scholars have replaced traditional methods with new generated machine learning [6][7][8][9][10][11], deep learning [12][13][14][15][16][17], decision making [18,19], and artificial intelligence-based tools [20][21][22]. These novel approximation techniques are well employed in various engineering fields such as in evaluating environmental concerns [19,[23][24][25][26][27][28][29][30][31], implications for natural environmental management [32][33][34][35][36][37][38][39], water resources management [28,[40][41][42][43][44], natural gas consumption [45][46][47][48], energy efficiency [49][50]…”
Section: Background Of Artificial Intelligencementioning
confidence: 99%
“…With recent advances in computational intelligence, many scholars have replaced traditional methods with new generated machine learning [6][7][8][9][10][11], deep learning [12][13][14][15][16][17], decision making [18,19], and artificial intelligence-based tools [20][21][22]. These novel approximation techniques are well employed in various engineering fields such as in evaluating environmental concerns [19,[23][24][25][26][27][28][29][30][31], implications for natural environmental management [32][33][34][35][36][37][38][39], water resources management [28,[40][41][42][43][44], natural gas consumption [45][46][47][48], energy efficiency [49][50]…”
Section: Background Of Artificial Intelligencementioning
confidence: 99%
“…As discussed by many scholars, along with well-known models (e.g., decision-making [6][7][8][9]), the artificial intelligence techniques have provided a high capability in the estimation of non-linear and intricate parameters [10][11][12]. Plenty of scientific efforts (e.g., concerning environmental subjects [13][14][15][16][17][18][19][20][21][22][23], gas consumption modeling [24,25], sustainable developments [26], pan evaporation and soil precipitation simulation [26][27][28][29][30][31], energy-related estimations [32][33][34][35][36][37][38][39], water supply assessment [16,[40][41][42][43][44][45][46][47][48][49], computer vision and visual processing [50]…”
Section: Introductionmentioning
confidence: 99%
“…As discussed by many scholars, intelligence techniques have a high capability to undertake non-linear and complicated calculations [7][8][9][10][11][12][13][14]. A large number artificial intelligence-based practices are studied, for example, in the subjects of environmental concerns [15][16][17][18][19][20][21], sustainability [22], quantifying climatic contributions [23], pan evaporation and soil precipitation prediction [22,24,25], air quality [26], optimizing energy systems [27][28][29][30][31][32][33][34], water and groundwater supply chains [17,[35][36][37][38][39][40][41][42][43], natural gas consumption [44], face or particular pattern recognition [23,[45][46][47][48][49], image classification and processing …”
Section: Introductionmentioning
confidence: 99%