干旱区生态环境知识资源中心(Arid): Runoff Harvesting Site Suitability Analysis for Wildlife in Sub-Desert Regions

Arid

DOI	10.3390/w11091944
	Runoff Harvesting Site Suitability Analysis for Wildlife in Sub-Desert Regions
	Shalamzari, Masoud Jafari 1; Zhang, Wanchang 2; Gholami, Atefeh 3; Zhang, Zhijie 4
通讯作者	Zhang, Wanchang
来源期刊	WATER
EISSN	2073-4441
出版年	2019
卷号	11 期号:9
英文摘要	Site selection for runoff harvesting at large scales is a very complex task. It requires inclusion and spatial analysis of a multitude of accurately measured parameters in a time-efficient manner. Compared with direct measurements of runoff, which is time consuming and costly, a combination of a Geographic Information System (GIS) and multi-criteria techniques have proven feasible to address this challenge. Although the accuracy of this new approach is lower than the direct method, conducting in-situ measurements over large scales is not feasible due to its financial issues, a lack of sufficient human resources, and time limitations. To achieve this purpose, climatic, topographic, and soil parameters were used to estimate a runoff coefficient and volume for a single event with the 33%-exceedance probability of maximum daily rainfall in the Kavir National Park of Iran. The main challenges ahead of this research have been a) the large area of the park and the inability to directly evaluate site suitability for runoff harvesting, b) the need for a quick and reliable site evaluation to implement water harvesting measures to address water scarcity, and c) the lack of discharge volume data from water streams (as there are no permanent water streams in the site) and the necessity of reliably estimating runoff in different parts of the park to design water harvesting structures which have been addressed by using GIS and a rainfall-runoff model (Soil Conservation Service Curve Number (SCS-CN)). Site suitability was evaluated for the natural territory of two important wildlife species of the park, namely Gazella dorcas and Ovis orientalis, as the main important food sources of an endangered species named Acinonyx jubatus, commonly known as Persian Cheetah. Saving Persian Cheetah from extinction is currently the top priority for the park managers, which is the main factor behind the species chosen for this research. The Analytic Hierarchical Process (AHP) and fuzzy membership functions were employed to assign weights and standardized thematic layers, respectively. The layers were then integrated using the weighted linear combination method (WLC) to obtain the final suitability map. Accordingly, 38% of the area (846 km(2)) is suitable or highly suitable for runoff harvesting, while 62% (2623 km(2)) has a very low potential for this purpose. Afterward, 11 suitable locations were identified to collect runoff. The results indicated that suitable catchments are mainly located on the southern slopes of the Mount Siahkouh as the only major elevation in the area. The storage capacity of the earth embankment in each catchment was estimated based on the upstream area of the catchment and runoff volume. Based on the population of the intended wildlife species and their average water requirement, there is a need for 6500 m(3) of drinking water annually. In the best-case scenario and under the circumstance of receiving five rainstorm events a year, only 257 m(3) is collectible from all runoff harvesting structures, which is only 4% of the total water demand.
英文关键词	AHP arid land fuzzy GIS MCDM suitability runoff harvesting
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000488834400207
WOS关键词	IDENTIFYING POTENTIAL SITES ; SEMIARID REGIONS ; RECHARGE SITES ; WATER-QUALITY ; GIS ; RAINWATER ; MODEL ; IDENTIFICATION ; SYSTEM ; CONSERVATION
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219248
作者单位	1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Univ Chinese Acad Sci, Inst Atmospher Phys, Beijing 100094, Peoples R China; 4.Univ Connecticut, Dept Geog, Ctr Environm Sci & Engn Cese, Storrs, CT 06269 USA
推荐引用方式 GB/T 7714	Shalamzari, Masoud Jafari,Zhang, Wanchang,Gholami, Atefeh,et al. Runoff Harvesting Site Suitability Analysis for Wildlife in Sub-Desert Regions[J],2019,11(9).
APA	Shalamzari, Masoud Jafari,Zhang, Wanchang,Gholami, Atefeh,&Zhang, Zhijie.(2019).Runoff Harvesting Site Suitability Analysis for Wildlife in Sub-Desert Regions.WATER,11(9).
MLA	Shalamzari, Masoud Jafari,et al."Runoff Harvesting Site Suitability Analysis for Wildlife in Sub-Desert Regions".WATER 11.9(2019).