{"_buckets": {"deposit": "93e4477c-f5f1-469a-9654-925384f342d4"}, "_deposit": {"id": "28357", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "28357"}, "status": "published"}, "_oai": {"id": "oai:niigata-u.repo.nii.ac.jp:00028357"}, "item_7_alternative_title_1": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "\u65b0\u6f5f\u770c\u4e0b\u8d8a\u5730\u57df\u306b\u304a\u3051\u308b\u6c17\u5019\u5909\u52d5\u306b\u3088\u308b\u6d41\u51fa\u30d1\u30bf\u30fc\u30f3\u3078\u306e\u5f71\u97ff"}]}, "item_7_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2011-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "125", "bibliographicPageStart": "119", "bibliographicVolumeNumber": "63", "bibliographic_titles": [{"bibliographic_title": "\u65b0\u6f5f\u5927\u5b66\u8fb2\u5b66\u90e8\u7814\u7a76\u5831\u544a"}, {"bibliographic_title": "\u65b0\u6f5f\u5927\u5b66\u8fb2\u5b66\u90e8\u7814\u7a76\u5831\u544a", "bibliographic_titleLang": "en"}]}]}, "item_7_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "The IPCC has reported that Japan will likely warm 2-3\u2103 by the year 2100, with changes in precipitation dependent onthe season. In areas of heavy snowfall like Niigata Prefecture, this will cause the seasonal patterns of river runoff to change,and will greatly influence the availability of water resources for agriculture. Our objective here is to forecast the changein the seasonal and monthly runoff volumes resulting from these future climate change scenarios, especially changes in thespring snowmelt runoff.Snowmelt Runoff Model (SRM) was applied to the Takiya River basin to simulate daily runoff over the period 2000-2007. Snow accumulation and melt was simulated for each of three elevation zones using air temperature data at high andlow elevations to estimate the lapse rate. Key model parameters were determined by analysis of the basin monthly waterbalance, in addition to model calibration using river discharge and snowpack snow water equivalent.The Japan Meteorological Agency has published regional scenarios that are based on the IPCC worst case ScenarioA2. Simulation of the IPCC Scenario A2 for Niigata region showed that runoff would be 2-3 times greater in winter (Dec-Feb),and decrease by half in spring (Apr-May). Changes in monthly runoff volumes are most sensitive to warming in the range+1.0\uff5e3.0\u2103 because large shifts occur in the proportions of snow versus rain. In Niigata, and other regions that receiveheavy snowfall at temperatures close to 0\u2103 , a small rise in temperature causes large changes in the size of the seasonalsnowpack and the seasonal distribution of runoff. Therefore, it is necessary to urgently review disaster prevention and waterresources management in such areas.", "subitem_description_type": "Abstract"}, {"subitem_description": 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