Document Type : Research Paper
Authors
1
Department of Environmental Sciences, Faculty of Natural Resources, University of Zabol, Zabol, Iran.
2
Department of Nature Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.
3
Department of Environmental Sciences & Engineering, Faculty of Agriculture and Natural Resources, Ardakan University, P.O. Box 184, Ardakan, Iran.
4
Department of Environmental Sciences, Faculty of Natural Resources and Environment, University of Birjand, Birjand, Iran.
10.22059/jwim.2023.349742.1024
Abstract
The ecosystem service of water yield is affected by damaging human activities, and the estimation of its quantity through modeling is the first step to sustainable management of this service. This research applied the InVEST hydrological model to quantify the ecosystem service of water yield and its valuation in the northern arid and semi-arid sub-basins of Kerman province. First, for modelling the water yield were entered the maps such as annual average precipitation, depth of root limiting layers, plant accessible water capacity, land use/land cover (LULC), and the boundaries of the basin and sub-basins, and the approximate amount of actual evapotranspiration (AET) in each pixel. Then maps of estimated water yield in each pixel was obtained. The model calculated 5112.43 million cubic meters of water with a value of more than 418500 billion Rails are produced annually, the highest amount of water yield is in sub-basin one (Abargho-Sirjan) with 2103 million cubic meters per year and the lowest amount of water yield in sub-region three (north Kavir-e lut) with the amount of 741.84 MCM. The results showed that the value of supply the water yield service is strongly influenced by the spatial changes of LULC. Dense range lands produce 27630.7 MCM of water per hectare, and each hectare of dense forest can produce 1104.6 MCM of water. Therefore the role of vegetation shows the influence of water infiltration and feeding of aquifers in high areas. The results of this study can be used in spatial planning to reduce the destructive effects of floods and droughts, prevent land degradation and develop vegetation, feed aquifers, and also estimate damages in green accounting.
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