Quantitative Study on Characteristics of Hydrological Drought in Arid Area of Northwest China Under Changing Environment

2021 ◽  
pp. 126343
Author(s):  
Peng Yang ◽  
Jun Xia ◽  
Yongyong Zhang ◽  
Chesheng Zhan ◽  
Wei Cai ◽  
...  
Keyword(s):  
Quantitative Study ◽  
Northwest China ◽  
Arid Area ◽  
Hydrological Drought ◽  
Changing Environment

scholarly journals Changes of nematode community under monoculture wheat and wheat/jujube intercropping system in Xinjiang, Northwest China

2015 ◽  
Vol 52 (2) ◽  
pp. 123-129 ◽  
Author(s):  
Y. B. Liu ◽  
L. L. Zhang ◽  
Q. Z. Liu
Keyword(s):  
Rhizosphere Soil ◽  
Northwest China ◽  
Arid Area ◽  
Structural Index ◽  
Soil Food Web ◽  
Dominance Index ◽  
Wheat Rhizosphere ◽  
Ziziphus Jujuba ◽  
Nematode Abundance ◽  
Soil Status

Summary Nematode communities in the soils of wheat (Triticum aestivum Linn.) rhizosphere grown alone and grown in jujube (Ziziphus jujuba Mill.) orchard were investigated for three years in Hetian arid area, Xingjiang Uygur Autonomous Region, northwest of China. The results showed that eu-dominant families were Rhabditidae, Cephalobidae and Aphelenchidae among 15 families and 19 genera. Nematode abundance in wheat rhizosphere soil was smaller in wheat/jujube intercropping system, mainly because of lower numbers of bacterial feeders and fungal feeders. Besides, the nematode numbers of cp-1 and cp-2 (cp, colonizer-persister) guilds were significantly lower in wheat/jujube intercropping system than that in monoculture wheat system, due to the markedly lower numbers of Rhabditidae and Cephalobidae, although those of cp-3 and cp-4 guilds had no significant differences between monoculture and intercropping systems. Shannon-Weaver index (H’), genus dominance index (Ig) and structural index (SI), represented soil food web diversity and structure, had no differences between monoculture and intercropping systems. Significantly lower values of Wasilewska index (WI) and PPI/MI in monoculture wheat than in intercropping system. It was concluded that the soil status in monoculture wheat system exhibited better soil ecosystem in compared with wheat/ jujube intercropping system.

Human-Water Relationship Evaluation Based on Cloud Model for Arid Area in Northwest China

2014 ◽  
Vol 1065-1069 ◽  
pp. 2942-2947
Author(s):  
Mei Wang ◽  
De Shan Tang ◽  
Wei Shan Hu ◽  
Yi Fan Bai
Keyword(s):  
Evaluation Method ◽  
Cloud Model ◽  
Water System ◽  
Northwest China ◽  
Arid Area ◽  
Three Dimensions ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
Entropy Weight Method

Human-water relationship evaluation method based on cloud model is put forward to cope with the vagueness in evaluation language. With the intensive study of the specialty in human-water relationship in Northwest China arid area, three dimensions related to human-water relationship, natural water cycle’s health degree (NWHD), Social water cycle’s rationality degree (SWRD) and human-to-water fitness degree (HWFD) are selected to describe the harmony degree between water system and human system. The limit of evaluation index subordinate to each dimension corresponding to every harmony level is determined, and thus we can generate a comprehensive cloud model with evaluation index harmony level. When numeric values substitute for basic evaluation indexes, combined with the weights calculated from entropy weight method and AHP method, we get the certainty distributions of dimension indexes and integration objects among each harmony level. Case shows that human-water relationship evaluation method based on cloud model can effectively solve the vagueness and uncertainty in evaluation language. The evaluation results reflect the harmony degree in Northwest China arid area precisely.

scholarly journals Two Severe Local Storms as Observed in the Arid Area of Northwest China

1995 ◽  
Vol 73 (6) ◽  
pp. 1269-1284 ◽  
Author(s):  
Yasushi Mitsuta ◽  
Taiichi Hayashi ◽  
Tetsuya Takemi ◽  
Yinqiao Hu ◽  
Jiemin Wang ◽  
...  
Keyword(s):  
Northwest China ◽  
Arid Area

scholarly journals A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 644 ◽  
Author(s):  
Xin Wang ◽  
Kebin Shi ◽  
Quan Shi ◽  
Hanwei Dong ◽  
Ming Chen
Keyword(s):  
Risk Assessment ◽  
Cloud Model ◽  
Water Inrush ◽  
Ideal Point ◽  
Tunnel Boring Machine ◽  
Northwest China ◽  
Arid Area ◽  
Dynamic Monitoring ◽  
Tunnel Boring ◽  
The Impact

Tunnel water inrush is complex, fuzzy, and random, and it is affected by many factors, such as hydrology, geology, and construction. However, few papers have considered the impact of dynamic monitoring on water inrush in previous research. In this study, considering geological, hydrological, and construction factors, as well as dynamic monitoring, a new multi-index evaluation method is proposed to analyze the risk of tunnel water inrush based on the normal cloud model. A new weight algorithm combining analytic hierarchy process and entropy method is used to calculate the index weight. The certainty degree of each evaluation index belonging to the corresponding cloud can be obtained by the cloud model theory. The final level of tunnel water inrush is determined via the synthetic certainty degree. The proposed method is applied to analyze the risk of water inrush in the SS (Shuang-san) tunnel constructed by a tunnel boring machine in the arid area of Northwest China. The evaluation results are not only basically identical to the results calculated by the ideal point and gray relation projection methods, but also agree well with the actual excavation results. This demonstrates that this new risk assessment method of water inrush has high accuracy and feasibility. Simultaneously, it also provides a new research idea to analyze the probability of tunnel water inrush and can provide a reference for related projects.

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