C3- and C4-Plants of the Xerophilic Vegetation in the Loess Hills of the Yellow River, Gansu-Province, NW-China*

The distribution and source apportionment of 12 heavy metals including Hg, As, Cd, Pb, Cr, Ni, Cu, V, Co, Zn, Mn and Ba in atmospheric particulate matter (APM) at 5 samplings sites from Gansu, Ningxia and Inner Mongolia sections of the Yellow River of China in 2012 year were studied in this paper. The results indicated that Zn had a maximum mean concentration at T5 (Gansu Province), followed by As. The order of average concentrations of all heavy metals was as follows: Zn>Mn>As>Cu>Pb>Cr>V>Ni>Cd>Hg>Co, Ba. According to enrichment factors (EF), only Mn was seriously enriched at all sampling sites, especially at T4, which indicated that anthropic source is dominant and the others were not enriched. The results of cluster analysis (CA) showed that 12 heavy metals from 5 sampling sites were clustered into four different groups at the linkage distance of 10 and they came from a variety of sources such as fuel, fertilizers, agrochemicals and mining.

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Oxygen isotopic composition of bulk carbonates in recent sediments from Lake Kuhai (NW China) and implications for hydroclimatic changes in headwater areas of the Yellow River on the northeastern Tibetan Plateau

Journal of Asian Earth Sciences ◽

10.1016/j.jseaes.2016.11.001 ◽

2017 ◽

Vol 134 ◽

pp. 150-159 ◽

Cited By ~ 3

Author(s):

Xiangzhong Li ◽

Xin Zhou ◽

Weiguo Liu ◽

Guoqing Fan ◽

Peng Cheng ◽

...

Keyword(s):

Tibetan Plateau ◽

Isotopic Composition ◽

Yellow River ◽

Oxygen Isotopic Composition ◽

The Yellow River ◽

Nw China ◽

Northeastern Tibetan Plateau ◽

Oxygen Isotopic ◽

Recent Sediments

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Brief Study on Main Ferries in Gansu Section of the Yellow River in Han Dynasty

Scientific and Social Research ◽

10.36922/ssr.v3i1.1058 ◽

2021 ◽

Vol 3 (1) ◽

Author(s):

Tianye Li

Keyword(s):

Road Traffic ◽

Yellow River ◽

Han Dynasty ◽

Silk Road ◽

Gansu Province ◽

The Yellow River ◽

The South ◽

The North ◽

Bridge Crossing ◽

North And South

Ferry serves as an important element of traffic. The Yellow River Ferry in Gansu Province and the north-south traffic routes from Chang’an to Hexi during Han Dynasty corresponds with each other but also are divided into north and south ways. Beidao ferry is mainly a cable bridge crossing while the north line of the south road is mianly zhengbojin, qingshijin and shichengjin, and the south line of the south route is the ferry of heguan county. The ferry on the north line of North Road and South Road blocks the traffic to or from Qinghai to Hexi so the two ferries in the north and south played a crucial part in the management of the northwest frontier during Han Dynasty. Exploring the original setting reasons and sites of each ferry on the Yellow River is conductive to the gradual restoration of the silk Road traffic routes, landway and waterway transportation hubs, promoting the exploration and protection of the transport historical and cultural heritage at the intersection of the Yellow River and Silk Road, and then enhance the connotation of cultural tourism.

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Evaluation of water resources comprehensive utilization efficiency in the Yellow River Basin

Water Science & Technology Water Supply ◽

10.2166/ws.2016.057 ◽

2016 ◽

Vol 16 (6) ◽

pp. 1561-1570 ◽

Cited By ~ 8

Author(s):

Xin-jian Guan ◽

Sheng-xing Liang ◽

Yu Meng

Keyword(s):

Water Resources ◽

River Basin ◽

Yellow River ◽

Yellow River Basin ◽

Gansu Province ◽

Evaluation Index System ◽

Utilization Efficiency ◽

The Yellow River ◽

Comprehensive Utilization ◽

The Yellow River Basin

This study investigated appropriate indicators using the trapezoidal fuzzy number method, and constructed an evaluation index system for water resources comprehensive utilization efficiency (WRCUE). A WRCUE evaluation model is applied to areas in the Yellow River Basin in China using a genetic projection pursuit method. Results show that WRCUE is well developed in Shanxi, Shandong, and Henan provinces, moderately developed in Shanxi, Inner Mongolia, and Sichuan provinces, and poorly developed in the Ningxia Autonomous Region, Gansu Province, and Qinghai Province. According to the capacities of provinces, related measures are proposed.

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