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Surface runoff estimation over heterogeneous foothills of Aravalli mountain using medium resolution remote sensing rainfall data with soil conservation system‐curve number method: A case of semi‐arid ungauged Manesar Nala watershed
Author(s) -
Rawat Kishan Singh,
Mishra Anil Kumar,
Ahmad Nayan
Publication year - 2017
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/wej.12243
Subject(s) - watershed , environmental science , hydrology (agriculture) , runoff curve number , surface runoff , thematic map , land cover , soil map , arid , soil conservation , vflo , hydrological modelling , soil water , land use , remote sensing , soil science , geography , geology , agriculture , climatology , cartography , ecology , archaeology , computer science , engineering , biology , paleontology , civil engineering , machine learning , geotechnical engineering
Manesar Nala watershed, having an aerial extent of 71.53 km 2 , was subjected to modelling of its hydrological behaviour for assessing its water resource potential. Modern tools and techniques of Remote Sensing (RS) and Geographic Information System (GIS) were used for assessment of runoff generating potential using the Hydrologic Soil Cover Complex (HSCC) Method [U.S. Department of Agriculture (USDA)‐Soil Conservation System‐Curve Number (SCS‐CN) approach]. RS and GIS were used in generation and integration of thematic maps [such as Land use/Land cover (using LISS‐III data) and Hydrologic Soil Group (HSG), (using soil map of study area) to derive the Curve Number (CN) for simulating Runoff ( R o )]. The daily rainfall ( P ) data for the study period 2002–2015 were acquired from NOAA Climate Prediction Center (NCPC). Corresponding R o from the watershed for intense storm events for 14 years were calculated through RS and GIS. GIS and SCS‐CN model was employed for modelling the runoff production to study its hydrological behaviour. The study showed that the Manesar Nala watershed was having a composite Curve Number – II (CN II ) value of 82.5 for normal conditions. For dry and wet conditions these values were estimated at 66.44 (CN I ) and 91.56 (CN III ), respectively. This investigation showed that Manesar Nala watershed exhibited an annual average (of 14 years, 2002–2015) R o volume of 4 542 514.37 m 3 based on the average annual rainfall ( P ) of 0.72 m (720 mm). The average annual surface runoff ( R o ) was predicted to be approximately 0.21 m with annual runoff coefficient ( C R ) of 0.29. During the study, we also found a strong correlation ‘ r ’ between satellite driven P and R o from NRCS‐CN method of the order of 0.94. The methodology so developed has the potential to be used in other similar ungauged watersheds in the same agro‐climatic conditions for the purpose of planning of watershed conservation measures and other developmental activities.