Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Discussion papers | Copyright
https://doi.org/10.5194/nhess-2017-358
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Oct 2017

Research article | 25 Oct 2017

Review status
This discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.

Recognition of spatial framework for water quality and its relation with land use/cover types from a new perspective: A case study of Jinghe Oasis in Xinjiang, China

Fei Zhang1,2,3, Juan Wang4, and Xiaoping Wang1,2,3 Fei Zhang et al.
  • 1College of Resources and Environment Science, Xinjiang University, Urumqi, Xinjiang 830046, China
  • 2Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046, China
  • 3Key Laboratory of Xinjiang wisdom city and environment modeling, Urumqi, Xinjiang 830046, China
  • 4College of Geography and Remote Sensing Science, Beijing Normal University, 100875, Beijing, China

Abstract. Quality evaluation for surface water is an important issue in water resource management and protection. To understand the relation between the spatial framework of water quality in Jinghe Oasis and the change in land use/cover type, we first divide 47 water sampling sites measured in May and October 2015 into 6 cluster layers using the self-organizing map (SOM) method based on non-hierarchical k-means classification, and then determine the distribution characteristics of water quality from the time sequence. Water quality indices include chemical oxygen demand (COD), biological oxygen demand (BOD), suspended solids (SS), total phosphorus (TP), total nitrogen (TN), ammonia nitrogen (NH3−N), chromaticity (SD), and turbidity (NUT). On the basis of the results, we collect data regarding changes in farmland land, forest-grass land, water body, salinized land, and other land types during the wet and dry seasons and combine these data with the classification results of the GF-1 remote sensing satellite obtained in May and October 2015. We then discuss the influences of land use/cover type on water quality at different layers and seasons. The results indicate that Clusters 1 to 3 provide monitoring samples for the wet season (May 2015), whereas Clusters 4 to 6 provide monitoring samples for the dry season (October 2015). In general, the COD, SS, NUT, TN, and NH3−N contents are high in Clusters 1 and 2. The SD values for Clusters 1, 4, and 6 are high. Moreover, high BOD and TP values are mainly concentrated in Clusters 4 and 6. Through the discussion on the relation between different layers of water quality and land use/cover type change, we determine that the influences of farmland land, forest-grassland, and salinized land are significant on the water quality parameters in Jinghe Oasis. In Clusters 1, 2, and 6, the size of the water area also influences the change in water quality parameters to a certain extent. In addition, the influences of various land use/cover types on the water quality parameters in the research zone during different seasons exhibit the following order: farmland land → forest-grass land → salinized land → water body → others. Moreover, influence is less during the wet season than during the dry season. In conclusion, developing research on the relation between the spatial framework of water quality in Jinghe Oasis and land use/cover type change will be significant for the time sequence distribution of water quality in arid regions from both theoretical and practical perspectives.

Fei Zhang et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Fei Zhang et al.
Fei Zhang et al.
Viewed
Total article views: 408 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
336 58 14 408 4 14
  • HTML: 336
  • PDF: 58
  • XML: 14
  • Total: 408
  • BibTeX: 4
  • EndNote: 14
Views and downloads (calculated since 25 Oct 2017)
Cumulative views and downloads (calculated since 25 Oct 2017)
Viewed (geographical distribution)
Total article views: 406 (including HTML, PDF, and XML) Thereof 403 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 18 Oct 2018
Publications Copernicus
Download
Short summary
Water quality plays a pivotal role in habitat protection, agriculture, industry, and public health. The problem of how LULC types influence water quality is very important for water research and management. The research results can tentative exploration the relationship between water quality and land use/cover types in different clusters by SOM. It provides a new insight for further studies on the correlation between land use/cover and water quality in Jinghe Oasis.
Water quality plays a pivotal role in habitat protection, agriculture, industry, and public...
Citation
Share